15.3.1.9 Driver Assistance Systems and Techniques

Chapter Contents (Back)
Driver Assistance. Lane departure:
See also Lane Departure Detection, Lane Keeping, Lane Control Assistance.
See also Driver Assistance, Displays, Views.
See also Driver Assistance, Intervention, Take Over Analysis, Performance. Assistance for the blind, more in:
See also Personal Visual Assistance Systems and Techniques, Visually Impaired.
See also Eco-Driving.
See also Adaptive Cruise Control.
See also Emission Control Issues in Traffic Control.
See also Pedestrian Safety Issues, Pedestrian Behavior.
See also Parking Assistance, Automatic Parking.
See also Collision Avoidance, Collision Detection, Vehicles, Objects on the Road.
See also Automotive Radar, Automotive MIMO Radars, Analysis, Use. More what to do, not how:
See also Driver Modeling, Behavior Models, Analysis. Driver Monitoring:
See also Driver Monitoring, Eyes, Gaze, Drowsiness.
See also Free Space Computations, Free Space Analysis.
See also Vehicle Trajectory Prediction, Autonomous Driving.

MobilEye,
2007. Driver monitoring, and assistance.
WWW Link. Vendor, Driver Assistance.
See also artificial eye on your driving, An.

Sphericon,
2007. Driver monitoring, and assistance.
WWW Link. Vendor, Driver Assistance.

Green Road Technologies,
2007. Driver monitoring, and assistance.
WWW Link. Vendor, Driver Assistance.

Enkelmann, W.[Wilfried],
Video-Based Driver Assistance: From Basic Functions to Applications,
IJCV(45), No. 3, December 2001, pp. 201-221.
DOI Link 0111
System to evaluate whether it is ready. Provide assistance to driver, warnings, etc. BibRef

Jones, W.D.,
Keeping cars from crashing,
Spectrum(38), September 2001, pp. 40-45. BibRef 0109

Jones, W.D.,
Building safer cars,
Spectrum(39), January 2002, pp. 82-85. BibRef 0201

Heimes, F., Nagel, H.H.,
Towards Active Machine-Vision-Based Driver Assistance for Urban Areas,
IJCV(50), No. 1, October 2002, pp. 5-34.
DOI Link 0210
BibRef

Broggi, A.,
Vision-Based Driving Assistance,
IEEE_Expert(13), No. 6, November/December 1998, pp. 22-23. 9812

See also Architectural Issues on Vision-Based Automatic Vehicle Guidance: The Experience of the ARGO Project. BibRef

Handmann, U., Kalinke, T., Tzomakas, C., Werner, M., von Seelen, W.,
An image processing system for driver assistance,
IVC(18), No. 5, April 2000, pp. 367-376.
Elsevier DOI 0003
BibRef

Fang, C.Y., Chen, S.W., and Fuh, C.S.,
Automatic change detection of driving environments in a vision-based driver assistance system,
TNN(14), 2003, pp. 646-657. BibRef 0300

Mitrovic, D.,
Reliable Method for Driving Events Recognition,
ITS(6), No. 2, June 2005, pp. 198-205.
IEEE Abstract. 0506
BibRef

Hu, Z.C.[Zhen-Cheng], Uchimura, K.[Keiichi],
Solution of Camera Registration Problem via 3D-2D Parameterized Model Matching for On-Road Navigation,
IJIG(4), No. 1, January 2004, pp. 3-20. 0401
BibRef

Hu, Z.C.[Zhen-Cheng], Lamosa, F., Uchimura, K.,
A complete U-V-disparity study for stereovision based 3D driving environment analysis,
3DIM05(204-211).
IEEE DOI 0508
BibRef

Eidehall, A., Petersson, L.,
Statistical Threat Assessment for General Road Scenes Using Monte Carlo Sampling,
ITS(9), No. 1, March 2008, pp. 137-147.
IEEE DOI 0803
BibRef

de Winter, J.C.F., Mulder, M., van Paassen, M.M., Abbink, D.A., Wieringa, P.A.,
A Two-Dimensional Weighting Function for a Driver Assistance System,
SMC-B(38), No. 1, February 2007, pp. 189-195.
IEEE DOI 0801
BibRef

Shehata, M.S., Cai, J., Badawy, W.M., Burr, T.W., Pervez, M.S., Johannesson, R.J., Radmanesh, A.,
Video-Based Automatic Incident Detection for Smart Roads: The Outdoor Environmental Challenges Regarding False Alarms,
ITS(9), No. 2, June 2008, pp. 349-360.
IEEE DOI 0806
BibRef

Chang, T.H., Hsu, C.S., Wang, C., Yang, L.K.,
Onboard Measurement and Warning Module for Irregular Vehicle Behavior,
ITS(9), No. 3, September 2008, pp. 501-513.
IEEE DOI 0809
BibRef

Canale, M., Fagiano, L., Ferrara, A., Vecchio, C.,
Comparing Internal Model Control and Sliding-Mode Approaches for Vehicle Yaw Control,
ITS(10), No. 1, March 2009, pp. 31-41.
IEEE DOI 0903
BibRef

Agarwal, V., Murali, N.V., Chandramouli, C.,
A Cost-Effective Ultrasonic Sensor-Based Driver-Assistance System for Congested Traffic Conditions,
ITS(10), No. 3, September 2009, pp. 486-498.
IEEE DOI 0909
BibRef

Wu, B.F.[Bing-Fei], Lin, C.T.[Chuan-Tsai], Chen, Y.L.[Yen-Lin],
Range and Size Estimation Based on a Coordinate Transformation Model for Driving Assistance Systems,
IEICE(E92-D), No. 9, September 2009, pp. 1725-1735.
WWW Link. 0910
BibRef

An artificial eye on your driving,
Physorg(News), April 20, 2010.
HTML Version. 0104

See also MobilEye. News item about the basic product. BibRef

Michalke, T.[Thomas], Fritsch, J.[Jannik], Goerick, C.[Christian],
A biologically-inspired vision architecture for resource-constrained intelligent vehicles,
CVIU(114), No. 5, May 2010, pp. 548-563.
Elsevier DOI 1004
BibRef
Earlier:
Enhancing Robustness of a Saliency-Based Attention System for Driver Assistance,
CVS08(xx-yy).
Springer DOI 0805
Vision architecture; Driver assistance; Top-down visual attention BibRef

Heracles, M.[Martin], Martinelli, F.[Fernando], Fritsch, J.[Jannik],
Vision-based Behavior Prediction in Urban Traffic Environments by Scene Categorization,
BMVC10(xx-yy).
HTML Version. 1009
BibRef

Dittes, B.[Benjamin], Heracles, M.[Martin], Michalke, T.[Thomas], Kastner, R.[Robert], Gepperth, A.[Alexander], Fritsch, J.[Jannik], Goerick, C.[Christian],
A Hierarchical System Integration Approach with Application to Visual Scene Exploration for Driver Assistance,
CVS09(255-264).
Springer DOI 0910
BibRef

Amditis, A., Andreone, L., Pagle, K., Markkula, G., Deregibus, E., Rue, M.R., Bellotti, F., Engelsberg, A., Brouwer, R., Peters, B., de Gloria, A.,
Towards the Automotive HMI of the Future: Overview of the AIDE-Integrated Project Results,
ITS(11), No. 3, September 2010, pp. 567-578.
IEEE DOI 1003
BibRef

Wang, J.J.[Jin-Jun], Zhu, S.H.[Sheng-Huo], Gong, Y.H.[Yi-Hong],
Driving Safety Monitoring Using Semisupervised Learning on Time Series Data,
ITS(11), No. 3, September 2010, pp. 728-737.
IEEE DOI 1003
BibRef

Fossati, A.[Andrea], Schönmann, P.[Patrick], Fua, P.[Pascal],
Real-time vehicle tracking for driving assistance,
MVA(22), No. 2, March 2011, pp. 439-448.
WWW Link. 1103
BibRef

Alcantarilla, P.F., Bergasa, L.M., Jiménez, P., Parra, I., Llorca, D.F., Sotelo, M.A., Mayoral, S.S.,
Automatic LightBeam Controller for driver assistance,
MVA(22), No. 5, September 2011, pp. 819-835.
WWW Link. 1108
BibRef

Lin, S., de Schutter, B., Xi, Y., Hellendoorn, H.,
Fast Model Predictive Control for Urban Road Networks via MILP,
ITS(12), No. 3, September 2011, pp. 846-856.
IEEE DOI 1109
BibRef

Boyle, R.[Rebecca],
Nissan Developing Mind-Reading Cars That Anticipate Drivers' Next Moves and Act Accordingly,
PopSci(News), September 28, 2011.
WWW Link. BibRef 1109

Stevenson, R.,
A driver's sixth sense,
Spectrum(48), No. 10, October 2011, pp. 50-55.
IEEE DOI 1110
Radar for driver assistance. BibRef

Kang, Y.[Yousun], Yamaguchi, K., Naito, T.[Takashi], Ninomiya, Y.[Yoshiki],
Multiband Image Segmentation and Object Recognition for Understanding Road Scenes,
ITS(12), No. 4, December 2011, pp. 1423-1433.
IEEE DOI 1112
BibRef

Kang, Y.[Yousun], Kidono, K.[Kiyosumi], Naito, T.[Takashi], Ninomiya, Y.[Yoshiki],
Multiband image segmentation and object recognition using texture filter banks,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Kang, Y.[Yousun], Kidono, K.[Kiyosumi], Kimura, Y.[Yoshikatsu], Ninomiya, Y.[Yoshiki],
Texture-Based Objects Recognition for Vehicle Environment Perception Using a Multiband Camera,
ISVC07(II: 582-591).
Springer DOI 0711
BibRef

Wu, N., Chu, F., Mammar, S., Zhou, M.,
Petri Net Modeling of the Cooperation Behavior of a Driver and a Copilot in an Advanced Driving Assistance System,
ITS(12), No. 4, December 2011, pp. 977-989.
IEEE DOI 1112
BibRef

Tan, H.S., Huang, J.,
Experimental Development of a New Target and Control Driver Steering Model Based on DLC Test Data,
ITS(13), No. 1, March 2012, pp. 375-384.
IEEE DOI 1203
BibRef

Chen, D.Y.[Duan-Yu], Chen, G.R.[Guo-Ruei], Wang, Y.W.[Yu-Wen],
Real-time dynamic vehicle detection on resource limited mobile platform,
IET-CV(7), No. 2, 2013, pp. xx-yy.
DOI Link 1307
BibRef

Spiessl, W., Hussmann, H.,
Assessing error recognition in automated driving,
IET-ITS(5), No. 2, 2011, pp. 103-111.
DOI Link 1204
BibRef

Hughes, C., Glavin, M., Jones, E., Denny, P.,
Wide-angle camera technology for automotive applications: a review,
IET-ITS(3), No. 1, 2009, pp. 19-31.
DOI Link 1204
BibRef

Lin, B.F.[Bin-Feng], Lin, Y.M.[Yi-Ming], Fu, L.C.[Li-Chen], Hsiao, P.Y.[Pei-Yung], Chuang, L.A.[Li-An], Huang, S.S.[Shin-Shinh], Lo, M.F.[Min-Fang],
Integrating Appearance and Edge Features for Sedan Vehicle Detection in the Blind-Spot Area,
ITS(13), No. 2, June 2012, pp. 737-747.
IEEE DOI 1206
BibRef

Weis, B.X., Sandweg, A.,
Guideweb: a conceptually infrastructure-free vehicle navigation system,
IET-ITS(6), No. 2, 2012, pp. 139-144.
DOI Link 1206
BibRef

Aoyama, M.,
Computing for the Next-Generation Automobile,
Computer(45), No. 6, June 2012, pp. 32-37.
IEEE DOI 1208
BibRef

Ardelt, M., Coester, C., Kaempchen, N.,
Highly Automated Driving on Freeways in Real Traffic Using a Probabilistic Framework,
ITS(13), No. 4, December 2012, pp. 1576-1585.
IEEE DOI 1212
BibRef

Schneiderman, R.,
Car Makers See Opportunities in Infotainment, Driver-Assistance Systems,
SPMag(30), No. 1, 2012, pp. 11-15.
IEEE DOI 1212
[Special Reports] BibRef

Vijayenthiran, V.[Viknesh],
Mercedes' New Safety Tech Aims To End Wrong-Way Driving,

WWW Link. MotorAuthority(2013), January 2013. 1301
News article on Mercedes system for driver assistance. BibRef

Siogkas, G.K., Dermatas, E.S.,
Random-Walker Monocular Road Detection in Adverse Conditions Using Automated Spatiotemporal Seed Selection,
ITS(14), No. 2, 2013, pp. 527-538.
IEEE DOI 1307
Adverse conditions; automatic seed selection BibRef

Sanchez, N., Alfonso, J., Torres, J., Menendez, J.M.,
ITS-based cooperative services development framework for improving safety of vulnerable road users,
IET-ITS(7), No. 2, 2013, pp. -.
DOI Link 1307
BibRef

Broggi, A., Buzzoni, M., Debattisti, S., Grisleri, P., Laghi, M.C., Medici, P., Versari, P.,
Extensive Tests of Autonomous Driving Technologies,
ITS(14), No. 3, 2013, pp. 1403-1415.
IEEE DOI 1309
ADAS BibRef

Firl, J., Stubing, H., Huss, S.A., Stiller, C.,
MARV-X: Applying Maneuver Assessment for Reliable Verification of Car-to-X Mobility Data,
ITS(14), No. 3, 2013, pp. 1301-1312.
IEEE DOI 1309
Car-to-X (C2X) security; maneuver assessment; mobility data verification BibRef

Iqbal, U., Georgy, J., Abdelfatah, W.F., Korenberg, M.J., Noureldin, A.,
Pseudoranges Error Correction in Partial GPS Outages for a Nonlinear Tightly Coupled Integrated System,
ITS(14), No. 3, 2013, pp. 1510-1525.
IEEE DOI 1309
Global Positioning System (GPS) BibRef

Coletta, M., Hicks, R., Moskow, S.,
The Frobenius Integrability Theorem and the Blind-Spot Problem for Motor Vehicles,
SIIMS(6), No. 3, 2013, pp. 1367-1384.
DOI Link 1310
BibRef

Muehlfeld, F., Doric, I., Ertlmeier, R., Brandmeier, T.,
Statistical Behavior Modeling for Driver-Adaptive Precrash Systems,
ITS(14), No. 4, 2013, pp. 1764-1772.
IEEE DOI 1312
Adaptation models BibRef

Corno, M.,
Design, Analysis, and Validation of a Haptic-Based Driver Support System for Traction Control,
ITS(14), No. 4, 2013, pp. 1849-1859.
IEEE DOI 1312
Acceleration BibRef

Dahmani, H., Pages, O., El Hajjaji, A., Daraoui, N.,
Observer-Based Robust Control of Vehicle Dynamics for Rollover Mitigation in Critical Situations,
ITS(15), No. 1, February 2014, pp. 274-284.
IEEE DOI 1403
control system synthesis BibRef

Yoon, J.H.[Jong-Hwa], Peng, H.[Huei],
Robust Vehicle Sideslip Angle Estimation Through a Disturbance Rejection Filter That Integrates a Magnetometer With GPS,
ITS(15), No. 1, February 2014, pp. 191-204.
IEEE DOI 1403
Global Positioning System BibRef

Taghvaeeyan, S., Rajamani, R.,
Two-Dimensional Sensor System for Automotive Crash Prediction,
ITS(15), No. 1, February 2014, pp. 178-190.
IEEE DOI 1403
adaptive estimation BibRef

Kircher, K., Larsson, A., Hultgren, J.A.,
Tactical Driving Behavior With Different Levels of Automation,
ITS(15), No. 1, February 2014, pp. 158-167.
IEEE DOI 1403
adaptive control BibRef

Gabbard, J.L., Fitch, G.M., Kim, H.[Hyungil],
Behind the Glass: Driver Challenges and Opportunities for AR Automotive Applications,
PIEEE(102), No. 2, February 2014, pp. 124-136.
IEEE DOI 1403
augmented reality BibRef

Kamal, M.A.S., Imura, J., Hayakawa, T., Ohata, A., Aihara, K.,
Smart Driving of a Vehicle Using Model Predictive Control for Improving Traffic Flow,
ITS(15), No. 2, April 2014, pp. 878-888.
IEEE DOI 1404
Acceleration BibRef

Flórez, S.A.R.[Sergio Alberto Rodríguez], Frémont, V.[Vincent], Bonnifait, P.[Philippe], Cherfaoui, V.[Véronique],
Multi-modal object detection and localization for high integrity driving assistance,
MVA(25), No. 3, April 2014, pp. 583-598.
Springer DOI 1404
BibRef

Capp, J., Litkouhi, B.,
The rise of the crash-proof car,
Spectrum(51), No. 5, May 2014, pp. 32-37.
IEEE DOI 1405
BibRef

Oorni, R.,
Reliability of an in-vehicle warning system for railway level crossings-a user-oriented analysis,
IET-ITS(8), No. 1, February 2014, pp. 9-20.
DOI Link 1406
Global Positioning System BibRef

Oliveira, M.R.[Miguel Riem],
Automatic Information and Safety Systems for Driving Assistance,
ELCVIA(13), No. 2, 2014, pp. xx-yy.
DOI Link 1407
Ph.D.. Thesis. BibRef

Khan, A., Bacchus, A., Erwin, S.,
Surrogate safety measures as aid to driver assistance system design of the cognitive vehicle,
IET-ITS(8), No. 4, June 2014, pp. 415-424.
DOI Link 1407
BibRef

Mcilroy, R.C., Stanton, N., Harvey, C.,
Getting drivers to do the right thing: a review of the potential for safely reducing energy consumption through design,
IET-ITS(8), No. 4, June 2014, pp. 388-397.
DOI Link 1407
BibRef

Dozza, M., Idegren, M., Andersson, T., Fernandez, A.,
Platform enabling intelligent safety applications for vulnerable road users,
IET-ITS(8), No. 4, June 2014, pp. 368-376.
DOI Link 1407
BibRef

Katzourakis, D.I., Velenis, E., Holweg, E., Happee, R.,
Haptic Steering Support for Driving Near the Vehicle's Handling Limits: Test-Track Case,
ITS(15), No. 4, August 2014, pp. 1781-1789.
IEEE DOI 1410
automobiles BibRef

Tanaka, Y., Yamada, N., Tsuji, T., Suetomi, T.,
Vehicle Active Steering Control System Based on Human Mechanical Impedance Properties of the Arms,
ITS(15), No. 4, August 2014, pp. 1758-1769.
IEEE DOI 1410
adaptive control BibRef

Akar, M., Dere, A.D.,
A Switching Rollover Controller Coupled With Closed-Loop Adaptive Vehicle Parameter Identification,
ITS(15), No. 4, August 2014, pp. 1579-1585.
IEEE DOI 1410
Kalman filters BibRef

Long, Q.[Qian], Xie, Q.W.[Qi-Wei], Mita, S.[Seiichi], Tehrani, H.[Hossein], Ishimaru, K.[Kazuhisa], Guo, C.Z.[Chun-Zhao],
Real-time Dense Disparity Estimation based on Multi-Path Viterbi for Intelligent Vehicle Applications,
BMVC14(xx-yy).
HTML Version. 1410
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Kim, B.[Beomjun], Yi, K.[Kyongsu],
Probabilistic and Holistic Prediction of Vehicle States Using Sensor Fusion for Application to Integrated Vehicle Safety Systems,
ITS(15), No. 5, October 2014, pp. 2178-2190.
IEEE DOI 1410
covariance analysis BibRef

Staubach, M., Schebitz, N., Fricke, N., Schießl, C., Brockmann, M., Kuck, D.,
Information modalities and timing of ecological driving support advices,
IET-ITS(8), No. 6, September 2014, pp. 534-542.
DOI Link 1411
driver information systems BibRef

Chang, C.C.[Che-Cheng], Tsai, J.[Jichiang], Pei, S.J.[Shi-Jia],
Quantum particle swarm optimisation algorithm for feedback control of semi-autonomous driver assistance systems,
IET-ITS(8), No. 7, 2014, pp. 608-620.
DOI Link 1411
accident prevention BibRef

Shia, V.A., Gao, Y.[Yiqi], Vasudevan, R., Campbell, K.D., Lin, T., Borrelli, F., Bajcsy, R.,
Semiautonomous Vehicular Control Using Driver Modeling,
ITS(15), No. 6, December 2014, pp. 2696-2709.
IEEE DOI 1412
mobile robots BibRef

da Lio, M., Biral, F., Bertolazzi, E., Galvani, M., Bosetti, P., Windridge, D., Saroldi, A., Tango, F.,
Artificial Co-Drivers as a Universal Enabling Technology for Future Intelligent Vehicles and Transportation Systems,
ITS(16), No. 1, February 2015, pp. 244-263.
IEEE DOI 1502
Cognition BibRef

Hong, S., Lee, C., Borrelli, F., Hedrick, J.K.,
A Novel Approach for Vehicle Inertial Parameter Identification Using a Dual Kalman Filter,
ITS(16), No. 1, February 2015, pp. 151-161.
IEEE DOI 1502
Estimation BibRef

Ohn-Bar, E.[Eshed], Tawari, A.[Ashish], Martin, S.[Sujitha], Trivedi, M.M.[Mohan M.],
On surveillance for safety critical events: In-vehicle video networks for predictive driver assistance systems,
CVIU(134), No. 1, 2015, pp. 130-140.
Elsevier DOI 1504
Early activity recognition BibRef

Geipel, J.[Jakob], Jackenkroll, M.[Markus], Weis, M.[Martin], Claupein, W.[Wilhelm],
A Sensor Web-Enabled Infrastructure for Precision Farming,
IJGI(4), No. 1, 2015, pp. 385-399.
DOI Link 1504
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Kim, J., Jo, K., Lim, W., Lee, M., Sunwoo, M.,
Curvilinear-Coordinate-Based Object and Situation Assessment for Highly Automated Vehicles,
ITS(16), No. 3, June 2015, pp. 1559-1575.
IEEE DOI 1506
Boolean functions BibRef

Jo, K., Lee, M., Sunwoo, M.,
Track Fusion and Behavioral Reasoning for Moving Vehicles Based on Curvilinear Coordinates of Roadway Geometries,
ITS(19), No. 9, September 2018, pp. 3068-3075.
IEEE DOI 1809
Radar tracking, Cognition, Geometry, Sensor fusion, Tracking, Sensor phenomena and characterization, Curvilinear coordinate, support vector machine BibRef

Jo, K., Lee, M., Kim, J., Sunwoo, M.,
Tracking and Behavior Reasoning of Moving Vehicles Based on Roadway Geometry Constraints,
ITS(18), No. 2, February 2017, pp. 460-476.
IEEE DOI 1702
Cognition BibRef

Kim, D., Jo, K., Lee, M., Sunwoo, M.,
L-Shape Model Switching-Based Precise Motion Tracking of Moving Vehicles Using Laser Scanners,
ITS(19), No. 2, February 2018, pp. 598-612.
IEEE DOI 1802
Feature extraction, Measurement by laser beam, Radar tracking, Switches, Target tracking, Vehicle dynamics, L-shape model, modeling switching filter BibRef

Wallich, P.,
An early-warning system for your bike,
Spectrum(52), No. 7, July 2015, pp. 22-23.
IEEE DOI 1507
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Guo, C., Meguro, J., Kojima, Y., Naito, T.,
A Multimodal ADAS System for Unmarked Urban Scenarios Based on Road Context Understanding,
ITS(16), No. 4, August 2015, pp. 1690-1704.
IEEE DOI 1508
Context BibRef

Nilsson, J., Falcone, P., Vinter, J.,
Safe Transitions From Automated to Manual Driving Using Driver Controllability Estimation,
ITS(16), No. 4, August 2015, pp. 1806-1816.
IEEE DOI 1508
Acceleration BibRef

Bosetti, P., da Lio, M., Saroldi, A.,
On Curve Negotiation: From Driver Support to Automation,
ITS(16), No. 4, August 2015, pp. 2082-2093.
IEEE DOI 1508
Acceleration BibRef

Wang, J., Wu, J., Li, Y.,
The Driving Safety Field Based on Driver-Vehicle-Road Interactions,
ITS(16), No. 4, August 2015, pp. 2203-2214.
IEEE DOI 1508
Accidents BibRef

Wulf, F., Rimini-Doring, M., Arnon, M., Gauterin, F.,
Recommendations Supporting Situation Awareness in Partially Automated Driver Assistance Systems,
ITS(16), No. 4, August 2015, pp. 2290-2296.
IEEE DOI 1508
Automation BibRef

Kala, R., Warwick, K.,
Planning Autonomous Vehicles in the Absence of Speed Lanes Using an Elastic Strip,
ITS(14), No. 4, 2013, pp. 1743-1752.
IEEE DOI 1312
Cooperative systems BibRef

Schulz, W., Geis, I.,
Future role of cost-benefit analysis in intelligent transport system-research,
IET-ITS(9), No. 6, 2015, pp. 626-632.
DOI Link 1509
cost-benefit analysis BibRef

Pettersson, I., Karlsson, I.M.,
Setting the stage for autonomous cars: A pilot study of future autonomous driving experiences,
IET-ITS(9), No. 7, 2015, pp. 694-701.
DOI Link 1509
automobiles BibRef

Anders, J.[Jakob], Mefenza, M.[Michael], Bobda, C.[Christophe], Yonga, F.[Franck], Aklah, Z.[Zeyad], Gunn, K.[Kevin],
A hardware/software prototyping system for driving assistance investigations,
RealTimeIP(11), No. 3, March 2016, pp. 559-569.
Springer DOI 1604
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Xu, P.[Philippe], Davoine, F.[Franck], Bordes, J.B.[Jean-Baptiste], Zhao, H.J.[Hui-Jing], Denœux, T.[Thierry],
Multimodal information fusion for urban scene understanding,
MVA(27), No. 3, April 2016, pp. 331-349.
Springer DOI 1604
BibRef
Earlier:
Information Fusion on Oversegmented Images: An Application for Urban Scene Understanding,
MVA13(xx-yy). Award, MVA Decade. Scene understanding for driver assistance systems. BibRef

Casner, S.M.[Stephen M.], Hutchins, E.L.[Edwin L.], Norman, D.[Don],
The Challenges of Partially Automated Driving,
CACM(59), No. 5, May 2016, pp. 70-77.
DOI Link 1605
Survey, Driver Assistance. Issues of driver assistance. BibRef

Zha, L., Zhang, Y., Songchitruksa, P., Middleton, D.R.,
An Integrated Dilemma Zone Protection System Using Connected Vehicle Technology,
ITS(17), No. 6, June 2016, pp. 1714-1723.
IEEE DOI 1606
Connected vehicles BibRef

Karaduman, O., Eren, H., Kurum, H., Celenk, M.,
Road-Geometry-Based Risk Estimation Model for Horizontal Curves,
ITS(17), No. 6, June 2016, pp. 1617-1627.
IEEE DOI 1606
Accidents BibRef

Henclewood, D., Suh, W., Guin, A., Guensler, R., Fujimoto, R.M., Hunter, M.P.,
Real-time data-driven traffic simulation for performance measure estimation,
IET-ITS(10), No. 8, 2016, pp. 562-571.
DOI Link 1610
estimation theory BibRef

Li, L., Liu, Y., Wang, J., Deng, W., Oh, H.,
Human dynamics based driver model for autonomous car,
IET-ITS(10), No. 8, 2016, pp. 545-554.
DOI Link 1610
automobiles BibRef

Ackerman, E.,
LIDAR that will make self-driving cars affordable [News],
Spectrum(53), No. 10, October 2016, pp. 14-14.
IEEE DOI 1610
BibRef

Houben, S.[Sebastian],
Image Processing Algorithms for Driver Assistance using Wide Angle Cameras,
ELCVIA(15), No. 2, 2016, pp. 1-3.
DOI Link 1611
BibRef

Miyajima, C., Takeda, K.,
Driver-Behavior Modeling Using On-Road Driving Data: A new application for behavior signal processing,
SPMag(33), No. 6, November 2016, pp. 14-21.
IEEE DOI 1609
Adaptation models BibRef

Hansen, J.H.L., Takeda, K., Naik, S.M., Trivedi, M.M., Schmidt, G.U., Chen, Y.J.,
Signal Processing for Smart Vehicle Technologies,
SPMag(33), No. 6, November 2016, pp. 12-13.
IEEE DOI 1609
[From the Guest Editors] Intelligent vehicles;Smart devices;Special issues and sections BibRef

Hansen, J.H.L., Takeda, K., Naik, S.M., Trivedi, M.M., Schmidt, G.U., Chen, Y.J., Trappe, W.,
Signal Processing for Smart Vehicle Technologies: Part 2,
SPMag(34), No. 2, March 2017, pp. 18-21.
IEEE DOI 1703
[From the Guest Editors] BibRef

Zhang, Y., Wu, C., Wan, J.,
Mathematical Modeling of the Effects of Speech Warning Characteristics on Human Performance and Its Application in Transportation Cyberphysical Systems,
ITS(17), No. 11, November 2016, pp. 3062-3074.
IEEE DOI 1609
Hazards BibRef

Morales, A., Nijmeijer, H.,
Merging Strategy for Vehicles by Applying Cooperative Tracking Control,
ITS(17), No. 12, December 2016, pp. 3423-3433.
IEEE DOI 1612
Couplings BibRef

Jiang, W., Li, Y., Rizos, C.,
A Multisensor Navigation System Based on an Adaptive Fault-Tolerant GOF Algorithm,
ITS(18), No. 1, January 2017, pp. 103-113.
IEEE DOI 1701
Estimation BibRef

Ohn-Bar, E.[Eshed], Trivedi, M.M.[Mohan Manubhai],
Are all objects equal? Deep spatio-temporal importance prediction in driving videos,
PR(64), No. 1, 2017, pp. 425-436.
Elsevier DOI 1701
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What makes an on-road object important?,
ICPR16(3392-3397)
IEEE DOI 1705
Computational modeling, Context, Navigation, Predictive models, Training, Visualization. Spatio-temporal object analysis. BibRef

Chen, Z.J., Wu, C.Z., Zhang, Y.S., Huang, Z., Jiang, J.F., Lyu, N.C., Ran, B.,
Vehicle Behavior Learning via Sparse Reconstruction with L_2-L_p Minimization and Trajectory Similarity,
ITS(18), No. 2, February 2017, pp. 236-247.
IEEE DOI 1702
Learning systems BibRef

Li, Y.[Yi], Wang, J.H.[Jun-Hua], Chan, C.Y.[Ching-Yao], Fu, T.[Ting],
Develop right-turn real-time crash warning system at arterial access considering driver behaviour,
IET-ITS(11), No. 1, February 2017, pp. 44-52.
DOI Link 1703
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Ahmad, B.I., Murphy, J.K., Langdon, P.M., Godsill, S.J.,
Bayesian Intent Prediction in Object Tracking Using Bridging Distributions,
Cyber(48), No. 1, January 2018, pp. 215-227.
IEEE DOI 1801
Bridges, Hidden Markov models, Human computer interaction, Surveillance, Target tracking, Trajectory, Bayesian inference, tracking BibRef

He, Y., Yan, X., Chu, D., Lu, X.Y., Wu, C.,
A Probabilistic Prediction Model for the Safety Assessment of HDVs Under Complex Driving Environments,
ITS(18), No. 4, April 2017, pp. 858-868.
IEEE DOI 1704
Accidents BibRef

Pozueco, L.[Laura], Rionda, A.[Abel], Pañeda, A.G.[Alejandro García], Sánchez, J.A.[José Antonio], Pañeda, X.G.[Xabiel García], García, R.[Roberto], Melendi, D.[David], Tuero, A.G.[Alejandro García],
Impact of on-board tutoring systems to improve driving efficiency of non-professional drivers,
IET-ITS(11), No. 4, May 2017, pp. 196-202.
DOI Link 1705
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Jutila, M.[Mirjami], Scholliers, J.[Johan], Valta, M.[Mikko], Kujanpää, K.[Kaisa],
ITS-G5 performance improvement and evaluation for vulnerable road user safety services,
IET-ITS(11), No. 3, April 2017, pp. 126-133.
DOI Link 1705
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Silla, A.[Anne], Rämä, P.[Pirkko], Leden, L.[Lars], van Noort, M.[Martijn], de Kruijff, J.[Janiek], Bell, D.[Daniel], Morris, A.[Andrew], Hancox, G.[Graham], Scholliers, J.[Johan],
Quantifying the effectiveness of ITS in improving safety of VRUs,
IET-ITS(11), No. 3, April 2017, pp. 164-172.
DOI Link 1705
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Wang, W., Xi, J., Liu, C., Li, X.,
Human-Centered Feed-Forward Control of a Vehicle Steering System Based on a Driver's Path-Following Characteristics,
ITS(18), No. 6, June 2017, pp. 1440-1453.
IEEE DOI 1706
Control systems, Mechanical engineering, Steering systems, Vehicle dynamics, Vehicles, Wheels, Driver's path-following characteristics, driver workload, dynamic control strategy, human-centered feed-forward control, steering, system BibRef

Ercan, Z., Carvalho, A., Gokasan, M., Borrelli, F.,
Modeling, Identification, and Predictive Control of a Driver Steering Assistance System,
HMS(47), No. 5, October 2017, pp. 700-710.
IEEE DOI 1709
Mathematical model, Roads, Tires, Torque, Vehicle dynamics, Vehicles, Wheels, Haptic guidance systems, human-machine interaction, model predictive control (MPC), motor driven power steering system (MDPS), recursive, parameter, estimation BibRef

Flad, M., Fröhlich, L., Hohmann, S.,
Cooperative Shared Control Driver Assistance Systems Based on Motion Primitives and Differential Games,
HMS(47), No. 5, October 2017, pp. 711-722.
IEEE DOI 1709
Games, Mathematical model, Optimal control, Torque, Vehicles, Wheels, Advanced driver assistance systems (ADAS), differential game, motion primitives, shared, control BibRef

Jiang, J., Astolfi, A.,
Shared-Control for a Rear-Wheel Drive Car: Dynamic Environments and Disturbance Rejection,
HMS(47), No. 5, October 2017, pp. 723-734.
IEEE DOI 1709
Accidents, Automobiles, Closed loop systems, Drives, Kinematics, Safety, Control constraints, driver assistance, shared-control BibRef

Selmanaj, D., Corno, M., Savaresi, S.M.,
Hazard Detection for Motorcycles via Accelerometers: A Self-Organizing Map Approach,
Cyber(47), No. 11, November 2017, pp. 3609-3620.
IEEE DOI 1710
Accelerometers, Hazards, Motorcycles, Roads, Sensors, Airbag deployment, hazard detection, motorcycle dynamics, self-organizing, map, (SOM) BibRef

Yan, L.X.[Li-Xin], Huang, Z.[Zhen], Zhang, Y.S.[Yi-Shi], Zhang, L.Y.[Li-Yan], Zhu, D.[Dunyao], Ran, B.[Bin],
Driving risk status prediction using Bayesian networks and logistic regression,
IET-ITS(11), No. 7, September 2017, pp. 431-439.
DOI Link 1710
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Öörni, R.[Risto], Malin, F.[Fanny],
Early adopters of emergency braking and speed alert,
IET-ITS(11), No. 8, October 2017, pp. 467-474.
DOI Link 1710
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Altun, M., Celenk, M.,
Road Scene Content Analysis for Driver Assistance and Autonomous Driving,
ITS(18), No. 12, December 2017, pp. 3398-3407.
IEEE DOI 1712
Feature extraction, Image color analysis, Optical imaging, Optical sensors, Roads, Vehicles, Road scene, content analysis, saliency map BibRef

Chen, L., Hu, X., Xu, T., Kuang, H., Li, Q.,
Turn Signal Detection During Nighttime by CNN Detector and Perceptual Hashing Tracking,
ITS(18), No. 12, December 2017, pp. 3303-3314.
IEEE DOI 1712
Cameras, Feature extraction, Nakagami distribution, Object detection, Proposals, Signal detection, Vehicle detection, turn signals detection BibRef

Noh, S., An, K.,
Decision-Making Framework for Automated Driving in Highway Environments,
ITS(19), No. 1, January 2018, pp. 58-71.
IEEE DOI 1801
Decision making, Hardware, Road transportation, Robustness, Safety, Vehicles, Automated vehicle, decision-making, strategy decision BibRef

Abdi, L.[Lotfi], Meddeb, A.[Aref],
In-vehicle augmented reality TSR to improve driving safety and enhance the driver's experience,
SIViP(12), No. 1, January 2018, pp. 75-82.
WWW Link. 1801
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Yan, C.G.[Cheng-Gang], Xie, H.T.[Hong-Tao], Yang, D.B.[Dong-Bao], Yin, J.[Jian], Zhang, Y.D.[Yong-Dong], Dai, Q.H.[Qiong-Hai],
Supervised Hash Coding With Deep Neural Network for Environment Perception of Intelligent Vehicles,
ITS(19), No. 1, January 2018, pp. 284-295.
IEEE DOI 1801
Binary codes, Image retrieval, Intelligent vehicles, Machine learning, Neural networks, Quantization (signal), supervised hashing BibRef

Martinez, C.M.[C. Marina], Heucke, M., Wang, F.Y., Gao, B., Cao, D.,
Driving Style Recognition for Intelligent Vehicle Control and Advanced Driver Assistance: A Survey,
ITS(19), No. 3, March 2018, pp. 666-676.
IEEE DOI 1804
Survey, Driver Assistance. Acceleration, Automation, Fuels, Intelligent vehicles, Roads, Safety, Driving style, driver behavior, driving conditions, driving safety, machine learning BibRef

Chen, L.[Long], Luo, Y.[Yugong], Napolitano, F.S.[Fabrizio Stefano], Zobel, R.[Robert], Li, K.Q.A.[Ke-Qi-Ang],
Vehicle deformation depth based injury risk function for safety benefit evaluation of crash avoidance and mitigation systems,
IET-ITS(12), No. 5, June 2018, pp. 386-393.
DOI Link 1805
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Kryjak, T.[Tomasz], Komorkiewicz, M.[Mateusz], Gorgon, M.[Marek],
Real-time hardware-software embedded vision system for ITS smart camera implemented in Zynq SoC,
RealTimeIP(15), No. 1, June 2018, pp. 123-159.
Springer DOI 1806
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Komorkiewicz, M.[Mateusz], Turek, K., Skruch, P., Kryjak, T.[Tomasz], Gorgon, M.[Marek],
FPGA-based Hardware-in-the-Loop environment using video injection concept for camera-based systems in automotive applications,
DASIP16(183-190)
IEEE DOI 1704
driver information systems BibRef

Aligia, D.A., Magallan, G.A., de Angelo, C.H.,
EV Traction Control Based on Nonlinear Observers Considering Longitudinal and Lateral Tire Forces,
ITS(19), No. 8, August 2018, pp. 2558-2571.
IEEE DOI 1808
Wheels, Force, Observers, Tires, Computational modeling, Torque, Vehicle dynamics, Traction control system, nonlinear observer BibRef

Gilman, E.[Ekaterina], Georgiev, G.V.[Georgi V.], Tikka, P.[Piiastiina], Pirttikangas, S.[Susanna], Riekki, J.[Jukka],
How to support fuel-efficient driving?,
IET-ITS(12), No. 7, September 2018, pp. 631-641.
DOI Link 1808
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Ernst, R.,
Automated Driving: The Cyber-Physical Perspective,
Computer(51), No. 9, September 2018, pp. 76-79.
IEEE DOI 1810
Autonomous vehicles, Intelligent systems, Cyber-physical systems, Human computer interaction, Autonomous automobiles, autonomous vehicles BibRef

Neuhold, R.[Robert], Gursch, H.[Heimo], Kern, R.[Roman], Cik, M.[Michael],
Driver's dashboard- using social media data as additional information for motorway operators,
IET-ITS(12), No. 9, November 2018, pp. 1116-1122.
DOI Link 1810
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Chelbi, N.E.[Nacer Eddine], Gingras, D.[Denis], Sauvageau, C.[Claude],
Proposal of a new virtual evaluation approach of preventive safety applications and advanced driver assistance functions- application: AEB system,
IET-ITS(12), No. 9, November 2018, pp. 1148-1156.
DOI Link 1810
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Galarza, M.[Miguel], Paradells, J.[Josep],
Improving road safety and user experience by employing dynamic in-vehicle information systems,
IET-ITS(13), No. 4, April 2019, pp. 738-744.
DOI Link 1903
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Liu, J.[Jun], Chen, H.[Hong], Guo, H.Y.[Hong-Yan], Song, L.H.[Lin-Huan], Hu, Y.F.[Yun-Feng],
Moving horizon shared steering strategy for intelligent vehicle based on potential-hazard analysis,
IET-ITS(13), No. 3, March 2019, pp. 541-550.
DOI Link 1903
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Pozueco, L., Tuero, A.G., Pañeda, A.G., Pañeda, X.G., Melendi, D., García, R., Orueta, G.D.[G. Díaz], Rionda, A.,
Analytic System to Evaluate Efficient Driving Programs in Professional Fleets,
ITS(20), No. 3, March 2019, pp. 1099-1111.
IEEE DOI 1903
Vehicles, Fuels, Companies, Acceleration, Proposals, Global warming, Training, Efficient driving, professional driver evaluation, public transportation BibRef

Zhu, M.K.[Mian-Kuan], Xi, C.X.[Chao-Xing], Li, Y.J.[Yan-Jun], Bano, S.[Shehar], Zhang, Z.T.[Zu-Tao], Liu, Y.G.[Yu-Gang], Yagubov, R.[Rasim],
Truck active reversing control strategy based on modified particle filter and multi-sensors environment perception,
IET-ITS(13), No. 6, June 2019, pp. 1057-1068.
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Gao, H.B.[Hong-Bo], Yu, H.L.[Hui-Long], Xie, G.T.[Guo-Tao], Ma, H.T.[Hai-Tong], Xu, Y.C.[You-Chun], Li, D.Y.[De-Yi],
Hardware and software architecture of intelligent vehicles and road verification in typical traffic scenarios,
IET-ITS(13), No. 6, June 2019, pp. 960-966.
DOI Link 1906
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Wu, Y.H.[Yun-Hua], Zheng, M.H.[Mo-Hong], He, W.[Wei], Chen, Z.M.[Zhi-Ming], Hua, B.[Bing],
Intelligent vehicle safety system based on BeiDou satellite navigation system,
IET-ITS(13), No. 6, June 2019, pp. 967-974.
DOI Link 1906
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Hu, M.J.[Man-Jiang], Xie, G.T.[Guo-Tao], Gao, H.B.[Hong-Bo], Cao, D.P.[Dong-Pu], Li, K.Q.A.[Ke-Qi-Ang],
Manoeuvre prediction and planning for automated and connected vehicles based on interaction and gaming awareness under uncertainty,
IET-ITS(13), No. 6, June 2019, pp. 933-941.
DOI Link 1906
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Liu, Z.W.[Ze-Wei], Lu, D.M.[Dong-Ming], Qian, W.X.[Wei-Xian], Ren, K.[Kan], Zhang, J.[Jun], Xu, L.W.[Li-Wei],
Vision-based inter-vehicle distance estimation for driver alarm system,
IET-ITS(13), No. 6, June 2019, pp. 927-932.
DOI Link 1906
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Li, S.H.[Shao-Hua], Zhao, J.[Junwu], Yang, S.P.[Shao-Pu], Fan, H.Y.[Hao-Yang],
Research on a coordinated cornering brake control of three-axle heavy vehicles based on hardware-in-loop test,
IET-ITS(13), No. 5, May 2019, pp. 905-914.
DOI Link 1906
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Monroe, D.[Don],
I Don't Understand My Car,
CACM(62), No. 8, August 2019, pp. 18-19.
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Self-driving cars must keep their distracted occupants informed of issues potentially requiring attention. BibRef

Li, T., Yang, M., Li, H., Deng, L., Wang, C.,
A Terrain-Based Vehicle Localization Approach Robust to Braking,
ITS(20), No. 8, August 2019, pp. 2923-2932.
IEEE DOI 1908
Acceleration, Robustness, Roads, Global Positioning System, Estimation, Atmospheric measurements, Particle measurements, particle filters BibRef

Huang, M., Gao, W., Wang, Y., Jiang, Z.,
Data-Driven Shared Steering Control of Semi-Autonomous Vehicles,
HMS(49), No. 4, August 2019, pp. 350-361.
IEEE DOI 1908
adaptive control, control system synthesis, dynamic programming, iterative learning control, mobile robots, steering control BibRef

Chen, L.[Long], Zhan, W.J.[Wu-Jing], Tian, W.[Wei], He, Y.H.[Yu-Hang], Zou, Q.[Qin],
Deep Integration: A Multi-Label Architecture for Road Scene Recognition,
IP(28), No. 10, October 2019, pp. 4883-4898.
IEEE DOI 1909
automobile industry, convolutional neural nets, data integration, driver information systems, image classification, road scene recognition BibRef

Gupta, S., Srivatsav, D., Subramanyam, A.V., Kumaraguru, P.,
Attentional Road Safety Networks,
ICIP19(1600-1604)
IEEE DOI 1910
Road safety, Region guided network, Domain Adaptation BibRef

Feng, Y., Liu, H.X.,
Augmented reality for robocars,
Spectrum(56), No. 12, December 2019, pp. 22-27.
IEEE DOI 1912
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Improvement of safe stopping distance and accident risk coefficient based on active driver sight field on real road conditions,
IET-ITS(13), No. 12, December 2019, pp. 1843-1850.
DOI Link 1912
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Adjustable automation and manoeuvre control in automated driving,
IET-ITS(13), No. 12, December 2019, pp. 1780-1784.
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Chen, J., Wu, Z., Zhang, J.,
Driving Safety Risk Prediction Using Cost-Sensitive With Nonnegativity-Constrained Autoencoders Based on Imbalanced Naturalistic Driving Data,
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IEEE DOI 2001
Accidents, Safety, Vehicles, Feature extraction, Computer crashes, Time series analysis, Real-time systems, class imbalance BibRef

Lu, Y., Bi, L., Li, H.,
Model Predictive-Based Shared Control for Brain-Controlled Driving,
ITS(21), No. 2, February 2020, pp. 630-640.
IEEE DOI 2002
Vehicles, Electroencephalography, Wheels, Brain modeling, Task analysis, Safety, Control systems, Assistive technology, shared control BibRef

Lu, Y., Bi, L.,
Human Behavior Model-Based Predictive Control of Longitudinal Brain-Controlled Driving,
ITS(22), No. 3, March 2021, pp. 1361-1374.
IEEE DOI 1806
Vehicles, Brain modeling, Vehicle dynamics, Task analysis, Mathematical model, Predictive control, Acceleration, longitudinal control BibRef

Wei, J., He, J., Zhou, Y., Chen, K., Tang, Z., Xiong, Z.,
Enhanced Object Detection With Deep Convolutional Neural Networks for Advanced Driving Assistance,
ITS(21), No. 4, April 2020, pp. 1572-1583.
IEEE DOI 2004
Object detection, Proposals, Feature extraction, Detectors, Visualization, Computational modeling, Benchmark testing, intelligent vehicles BibRef

Kimpara, H., Mbanisi, K.C., Fu, J., Li, Z., Prokhorov, D., Gennert, M.A.,
Human Model-Based Active Driving System in Vehicular Dynamic Simulation,
ITS(21), No. 5, May 2020, pp. 1903-1914.
IEEE DOI 2005
Human-vehicle systems, motion control, motion planning, systems modeling, vehicle dynamics BibRef

Alim, A.[Adil], Joshi, A.[Aparna], Chen, F.[Feng], Lawson, C.T.[Catherine T.],
Techniques for efficient detection of rapid weather changes and analysis of their impacts on a highway network,
GeoInfo(24), No. 2, April 2020, pp. 269-299.
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Antony, J.[Joseph], Manikandan, S.[Suchetha],
Expanding vision-based ADAS for non-structured environments,
IET-ITS(14), No. 6, June 2020, pp. 620-627.
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Advanced Driver Assistance Systems. BibRef

Neville-Neil, G.V.[George V.],
Kode Vicious Plays in Traffic,
CACM(63), No. 6, June 2020, pp. 25-26.
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Yang, W., Zheng, L., Li, Y., Ren, Y., Xiong, Z.,
Automated Highway Driving Decision Considering Driver Characteristics,
ITS(21), No. 6, June 2020, pp. 2350-2359.
IEEE DOI 2006
Roads, Vehicles, Planning, Hidden Markov models, Optimization, Vehicle dynamics, Safety, Automated vehicle, motion decision, driver characteristics BibRef

Zhang, F., Zhou, M., Qi, L., Du, Y., Sun, H.,
A Game Theoretic Approach for Distributed and Coordinated Channel Access Control in Cooperative Vehicle Safety Systems,
ITS(21), No. 6, June 2020, pp. 2297-2309.
IEEE DOI 2006
Access control, Vehicle dynamics, Games, Vehicle safety, Resource management, Power control, Decision making, vehicle tracking performance BibRef

You, C., Lu, J., Filev, D., Tsiotras, P.,
Autonomous Planning and Control for Intelligent Vehicles in Traffic,
ITS(21), No. 6, June 2020, pp. 2339-2349.
IEEE DOI 2006
TV, Planning, Path planning, Roads, Vehicle dynamics, Autonomous vehicles, Reinforcement learning, Bézier curve, autonomous vehicle BibRef

Sun, S., Petropulu, A.P., Poor, H.V.,
MIMO Radar for Advanced Driver-Assistance Systems and Autonomous Driving: Advantages and Challenges,
SPMag(37), No. 4, July 2020, pp. 98-117.
IEEE DOI 2007
Automotive engineering, Radar antennas, Radar imaging, Chirp, MIMO radar, Doppler effect BibRef

Ma, D., Shlezinger, N., Huang, T., Liu, Y., Eldar, Y.C.,
Joint Radar-Communication Strategies for Autonomous Vehicles: Combining Two Key Automotive Technologies,
SPMag(37), No. 4, July 2020, pp. 85-97.
IEEE DOI 2007
Radar antennas, Automotive engineering, OFDM, Autonomous vehicles, Frequency division multiplexing, Radar detection BibRef

Aydogdu, C., Keskin, M.F., Carvajal, G.K., Eriksson, O., Hellsten, H., Herbertsson, H., Nilsson, E., Rydstrom, M., Vanas, K., Wymeersch, H.,
Radar Interference Mitigation for Automated Driving: Exploring Proactive Strategies,
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IEEE DOI 2007
Interference, Chirp, Automotive engineering, Radar cross-sections, Radar antennas, Delays BibRef

Chen, G., Cao, H., Conradt, J., Tang, H., Rohrbein, F., Knoll, A.,
Event-Based Neuromorphic Vision for Autonomous Driving: A Paradigm Shift for Bio-Inspired Visual Sensing and Perception,
SPMag(37), No. 4, July 2020, pp. 34-49.
IEEE DOI 2007
Retina, Neuromorphics, Visualization, Autonomous vehicles, Vision sensors, Silicon BibRef

Stockle, C., Herrmann, S., Dirndorfer, T., Utschick, W.,
Automated Vehicular Safety Systems: Robust Function and Sensor Design,
SPMag(37), No. 4, July 2020, pp. 24-33.
IEEE DOI 2007
Safety, Measurement errors, Measurement uncertainty, Uncertainty, Integrated circuit synthesis BibRef

Modas, A., Sanchez-Matilla, R., Frossard, P., Cavallaro, A.,
Toward Robust Sensing for Autonomous Vehicles: An Adversarial Perspective,
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IEEE DOI 2007
Sensors, Perturbation methods, Jamming, Global Positioning System, Acoustics, Laser radar, Autonomous vehicles, Automotive engineering BibRef

Diederichs, F.[Frederik], Knauss, A.[Alessia], Wilbrink, M.[Marc], Lilis, Y.[Yannis], Chrysochoou, E.[Evangelia], Anund, A.[Anna], Bekiaris, E.[Evangelos], Nikolaou, S.[Stella], Finér, S.[Svitlana], Zanovello, L.[Luca], Maroudis, P.[Pantelis], Krupenia, S.[Stas], Absér, A.[Andreas], Dimokas, N.[Nikos], Apoy, C.[Camilla], Karlsson, J.[Johan], Larsson, A.[Annika], Zidianakis, E.[Emmanouil], Efa, A.[Alexander], Widlroither, H.[Harald], Dai, M.[Mengnuo], Teichmann, D.[Daniel], Sanatnama, H.[Hamid], Wendemuth, A.[Andreas], Bischoff, S.[Sven],
Adaptive transitions for automation in cars, trucks, buses and motorcycles,
IET-ITS(14), No. 8, August 2020, pp. 889-899.
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Yue, L., Abdel-Aty, M.A., Wu, Y., Farid, A.,
The Practical Effectiveness of Advanced Driver Assistance Systems at Different Roadway Facilities: System Limitation, Adoption, and Usage,
ITS(21), No. 9, September 2020, pp. 3859-3870.
IEEE DOI 2008
Accidents, Vehicles, Sociology, Statistics, Advanced driver assistance systems, Roads, Estimation, Monte-Carlo simulation BibRef

Zhu, S., He, Y.,
A Unified Lateral Preview Driver Model for Road Vehicles,
ITS(21), No. 11, November 2020, pp. 4858-4868.
IEEE DOI 2011
Vehicles, Vehicle dynamics, Agricultural machinery, Mathematical model, Stability analysis, Aerodynamics, sliding mode control BibRef

Okuda, H., Suzuki, T., Harada, K., Saigo, S., Inoue, S.,
Quantitative Driver Acceptance Modeling for Merging Car at Highway Junction and Its Application to the Design of Merging Behavior Control,
ITS(22), No. 1, January 2021, pp. 329-340.
IEEE DOI 2012
Automobiles, Merging, Road transportation, Decision making, Junctions, Mathematical model, Driver model, merging behavior, model predictive control BibRef

Lee, S., Khan, M.Q., Husen, M.N.,
Continuous Car Driving Intent Detection Using Structural Pattern Recognition,
ITS(22), No. 2, February 2021, pp. 1001-1013.
IEEE DOI 2102
Vehicles, Hidden Markov models, Syntactics, Accidents, Grammar, Safety, Advanced driver assistance system, syntactic pattern recognition BibRef

Liu, C.Z., Li, L., Yong, J.W., Muhammad, F., Cheng, S.,
An Innovative Finite Frequency H8,
ITS(22), No. 3, March 2021, pp. 1553-1561.
IEEE DOI 2103
Radar tracking, Frequency control, Frequency-domain analysis, Observers, Linear matrix inequalities, H8 theory, KYP lemma, advanced driver assistant system BibRef

Xue, Z.J.[Zhong-Jin], Li, C.F.[Chen-Feng], Wang, X.Y.[Xiang-Yu], Li, L.[Liang], Zhong, Z.H.[Zhi-Hua],
Coordinated control of steer-by-wire and brake-by-wire for autonomous emergency braking on split-µ roads,
IET-ITS(14), No. 14, 27 December 2020, pp. 2122-2132.
DOI Link 2103
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Gerstmair, M.[Michael], Gschwandtner, M.[Martin], Findenig, R.[Rainer], Lang, O.[Oliver], Melzer, A.[Alexander], Huemer, M.[Mario],
Miniaturized Advanced Driver Assistance Systems: A Low-Cost Educational Platform for Advanced Driver Assistance Systems and Autonomous Driving,
SPMag(38), No. 3, May 2021, pp. 105-114.
IEEE DOI 2105
Engineering education, Machine learning, Signal processing, Advanced driver assistance systems, Sensors, Complexity theory, Autonomous automobiles BibRef

Chen, Y.M.[Yi-Min], Zhang, X.J.[Xin-Jie], Wang, J.M.[Jun-Min],
Robust Vehicle Driver Assistance Control for Handover Scenarios Considering Driving Performances,
SMCS(51), No. 7, July 2021, pp. 4160-4170.
IEEE DOI 2106
Vehicles, Handover, Trajectory, Solid modeling, Uncertainty, Task analysis, Automated driving, driver assistance controller, handover scenarios BibRef

Hovi, J.[Juha], Ichise, R.[Ryutaro],
Explanatory Rule Generation for Advanced Driver Assistant Systems,
IEICE(E104-D), No. 9, September 2021, pp. 1427-1439.
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Abi, L.[Lanie], Jin, D.F.[Da-Feng], Zheng, S.[Sheng], Lu, Z.H.[Zheng-Hong], Yu, L.Y.[Liang-Yao],
Dynamic coordinated control strategy of autonomous vehicles during emergency braking under split friction conditions,
IET-ITS(15), No. 10, 2021, pp. 1215-1227.
DOI Link 2109
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Rengifo, C.[Carolina], Chardonnet, J.R.[Jean-Rémy], Mohellebi, H.[Hakim], Kemeny, A.[Andras],
Impact of Human-Centered Vestibular System Model for Motion Control in a Driving Simulator,
HMS(51), No. 5, October 2021, pp. 411-420.
IEEE DOI 2109
Force, Stability analysis, Mathematical model, Control design, Tuning, Vehicle dynamics, Autonomous driving (AD), motion cueing algorithms BibRef

Brishtel, I.[Iuliia], Schmidt, T.[Thomas], Vozniak, I.[Igor], Rambach, J.R.[Jason Raphael], Mirbach, B.[Bruno], Stricker, D.[Didier],
To Drive or to Be Driven? The Impact of Autopilot, Navigation System, and Printed Maps on Driver's Cognitive Workload and Spatial Knowledge,
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DOI Link 2110
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Li, R.J.[Ren-Jie], Li, Y.[Yanan], Li, S.E.[Shengbo Eben], Zhang, C.F.[Chao-Fei], Burdet, E.[Etienne], Cheng, B.[Bo],
Indirect Shared Control for Cooperative Driving Between Driver and Automation in Steer-by-Wire Vehicles,
ITS(22), No. 12, December 2021, pp. 7826-7836.
IEEE DOI 2112
Vehicles, Adaptation models, Haptic interfaces, Wheels, Automation, Predictive models, Task analysis, Shared control, steer-by-wire BibRef

Matute-Peaspan, J.A.[Jose Angel], Zubizarreta-Pico, A.[Asier], Diaz-Briceno, S.E.[Sergio E.],
A Vehicle Simulation Model and Automated Driving Features Validation for Low-Speed High Automation Applications,
ITS(22), No. 12, December 2021, pp. 7772-7781.
IEEE DOI 2112
Vehicle dynamics, Computational modeling, Automation, Wheels, Actuators, Data models, Brakes, Autonomous vehicles, motion control BibRef

Hsu, T.P.[Tien-Pen], Wen, K.L.[Ku-Lin], Liu, C.H.[Chin-Hung],
Safety effect analysis of motorcycle V2I collision warning system,
IET-ITS(16), No. 1, 2022, pp. 13-23.
DOI Link 2112
BibRef

Hozyn, S.[Stanislaw], Zak, B.[Bogdan],
Stereo Vision System for Vision-Based Control of Inspection-Class ROVs,
RS(13), No. 24, 2021, pp. xx-yy.
DOI Link 2112
Remotely Operated Vehicles. BibRef

Ross, P.E.[Philip E.],
Brakes that Slam Themselves: Automatic emergency braking will become standard in Europe,
Spectrum(59), No. 1, January 2022, pp. 32-33.
IEEE DOI 2201
Europe (at least a part) requires automatic braking in new vehicles. Computer crashes, Safety, Brakes, Automobiles BibRef

Belenguer, F.M.[Ferran Mocholí], Martínez-Millana, A.[Antonio], Ramón, F.S.C.[Francisco Sales Castells], Mocholí-Salcedo, A.[Antonio],
The Effectiveness of Alert Sounds for Electric Vehicles Based on Pedestrians' Perception,
ITS(23), No. 4, April 2022, pp. 2956-2965.
IEEE DOI 2204
Accidents, Urban areas, Combustion, Engines, Automobiles, Safety, Electric vehicles, Accidents, acoustics, electric vehicles, noise, warning sounds BibRef

Diederichs, F.[Frederik], Muthumani, A.[Arun], Feierle, A.[Alexander], Galle, M.[Melanie], Mathis, L.A.[Lesley-Ann], Bopp-Bertenbreiter, V.[Valeria], Widlroither, H.[Harald], Bengler, K.[Klaus],
Improving Driver Performance and Experience in Assisted and Automated Driving With Visual Cues in the Steering Wheel,
ITS(23), No. 5, May 2022, pp. 4843-4852.
IEEE DOI 2205
Vehicles, Wheels, Visualization, Automation, Light emitting diodes, Variable speed drives, Manuals, Automated driving, visual warning BibRef

Rittger, L.[Lena], Engelhardt, D.[Doreen], Schwartz, R.[Robert],
Adaptive User Experience in the Car: Levels of Adaptivity and Adaptive HMI Design,
ITS(23), No. 5, May 2022, pp. 4866-4876.
IEEE DOI 2205
Adaptive systems, Automation, Automobiles, User experience, Vehicles, Task analysis, Intelligent systems, Adaptive algorithms, user interfaces BibRef

Ulahannan, A.[Arun], Thompson, S.[Simon], Jennings, P.[Paul], Birrell, S.[Stewart],
Using Glance Behaviour to Inform the Design of Adaptive HMI for Partially Automated Vehicles,
ITS(23), No. 5, May 2022, pp. 4877-4892.
IEEE DOI 2205
Vehicles, Time measurement, Gaze tracking, Particle measurements, Atmospheric measurements, Visualization, Automation, Adaptive HMI, eye tracking BibRef

Ahlström, C.[Christer], Diederichs, F.[Frederik], Teichmann, D.[Daniel],
Technologies for Risk Mitigation and Support of Impaired Drivers,
ITS(23), No. 5, May 2022, pp. 4736-4738.
IEEE DOI 2205
BibRef

Li, M.J.[Ming-Jun], Cao, H.T.[Hao-Tian], Li, G.[Guofa], Zhao, S.[Song], Song, X.L.[Xiao-Lin], Chen, Y.M.[Yi-Min], Cao, D.[Dongpu],
A Two-Layer Potential-Field-Driven Model Predictive Shared Control Towards Driver-Automation Cooperation,
ITS(23), No. 5, May 2022, pp. 4415-4431.
IEEE DOI 2205
Vehicles, Vehicle dynamics, Predictive models, Roads, Tuning, Tires, Wheels, Shared control, two-layer fuzzy strategy, potential-field-driven model predictive control BibRef

Zhang, B.H.[Bo-Han], Lu, S.B.[Shao-Bo], Xie, W.K.[Wen-Ke],
Cooperative Game-Based Driver Assistance Control for Vehicles Suffering Actuator Faults,
ITS(23), No. 7, July 2022, pp. 8114-8125.
IEEE DOI 2207
Vehicles, Actuators, Games, Mathematical model, Tires, Uncertainty, Fault tolerant systems, Cooperative game, driver assistance, control allocation BibRef

Ning, H.S.[Huan-Sheng], Yin, R.[Rui], Ullah, A.[Ata], Shi, F.F.[Fei-Fei],
A Survey on Hybrid Human-Artificial Intelligence for Autonomous Driving,
ITS(23), No. 7, July 2022, pp. 6011-6026.
IEEE DOI 2207
Autonomous vehicles, Artificial intelligence, Computer architecture, Testing, Roads, Companies, theoretical architecture BibRef

Asadi, M.[Mehrdad], Fathy, M.[Mahmood], Mahini, H.[Hamidreza], Rahmani, A.M.[Amir Masoud],
An Evolutionary Game Approach to Safety-Aware Speed Recommendation in Fog/Cloud-Based Intelligent Transportation Systems,
ITS(23), No. 7, July 2022, pp. 7431-7440.
IEEE DOI 2207
Vehicles, Safety, Games, Automobiles, Accidents, Cloud computing, Road safety, Intelligent transportation system, cloud/fog computing BibRef

Han, J.Y.[Jia-Yi], Zhao, J.[Jian], Zhu, B.[Bing], Song, D.J.[Dong-Jian],
Adaptive Steering Torque Coupling Framework Considering Conflict Resolution for Human-Machine Shared Driving,
ITS(23), No. 8, August 2022, pp. 10983-10995.
IEEE DOI 2208
Vehicles, Trajectory, Torque, Man-machine systems, Vehicle dynamics, Games, Couplings, Adaptive steering torque coupling framework, shared steering control BibRef

Patel, N.[Naman], Krishnamurthy, P.[Prashanth], Garg, S.[Siddharth], Khorrami, F.[Farshad],
Overriding Autonomous Driving Systems Using Adaptive Adversarial Billboards,
ITS(23), No. 8, August 2022, pp. 11386-11396.
IEEE DOI 2208
Cameras, Trajectory, Autonomous vehicles, Lighting, Vehicle dynamics, Videos, Perturbation methods, Autonomous vehicles, learning-based systems BibRef

Cummings, M.L.[Mary L.], Bauchwitz, B.[Ben],
Safety Implications of Variability in Autonomous Driving Assist Alerting,
ITS(23), No. 8, August 2022, pp. 12039-12049.
IEEE DOI 2208
Vehicles, Monitoring, Automobiles, Safety, Testing, Roads, Autonomous vehicle, deep learning, advanced driving assist, driver monitoring BibRef

Lamprecht, A.[Alexander], Steffen, D.[Dennis], Nagel, K.[Katja], Haecker, J.[Jens], Graichen, K.[Knut],
Online Model Predictive Motion Cueing With Real-Time Driver Prediction,
ITS(23), No. 8, August 2022, pp. 12414-12428.
IEEE DOI 2208
Prediction algorithms, Vehicles, Predictive models, Real-time systems, Planning, Optimal control, Angular velocity, human-in-the-loop BibRef

Panagiotopoulos, I.[Ilias], Dimitrakopoulos, G.[George],
Cognitive selection of driving automation levels in highly automated vehicles leveraging on Bayesian networking principles,
IET-ITS(16), No. 9, 2022, pp. 1127-1142.
DOI Link 2208
BibRef

Yu, J.[Jie], Jiang, F.[Fachao], Luo, Y.[Yugong], Kong, W.W.[Wei-Wei],
Improved model-free adaptive predictive control-based cooperative driving control for connected and automated vehicles subject to time-varying communication delays and packet losses at signal-free intersections,
IET-ITS(16), No. 10, 2022, pp. 1427-1440.
DOI Link 2209
BibRef
And: IET-ITS(16), No. 10, 2022, pp. i-i.
DOI Link 2209
BibRef

Zhang, Y.Q.[Yi-Qi], Wu, C.X.[Chang-Xu], Qiao, C.M.[Chun-Ming], Sadek, A.[Adel], Hulme, K.F.[Kevin F.],
A Cognitive Computational Model of Driver Warning Response Performance in Connected Vehicle Systems,
ITS(23), No. 9, September 2022, pp. 14790-14805.
IEEE DOI 2209
Vehicles, Predictive models, Computational modeling, Reliability, Prediction algorithms, Accidents, Data models, Driver model, connected vehicles BibRef

Simoncini, M.[Matteo], de Andrade, D.C.[Douglas Coimbra], Taccari, L.[Leonardo], Salti, S.[Samuele], Kubin, L.[Luca], Schoen, F.[Fabio], Sambo, F.[Francesco],
Unsafe Maneuver Classification From Dashcam Video and GPS/IMU Sensors Using Spatio-Temporal Attention Selector,
ITS(23), No. 9, September 2022, pp. 15605-15615.
IEEE DOI 2209
Feature extraction, Accidents, Task analysis, Object detection, Detectors, Data mining, Roads, Unsafe maneuver classification, XAI BibRef

Xie, J.[Ju], Xu, X.[Xing], Wang, F.[Feng], Liu, Z.Y.[Zhen-Yu], Chen, L.[Long],
Coordination Control Strategy for Human-Machine Cooperative Steering of Intelligent Vehicles: A Reinforcement Learning Approach,
ITS(23), No. 11, November 2022, pp. 21163-21177.
IEEE DOI 2212
Vehicles, Man-machine systems, Intelligent vehicles, Adaptation models, Steering systems, Reinforcement learning, steering-in-the-loop BibRef

Picotti, E.[Enrico], Bruschetta, M.[Mattia], Mion, E.[Enrico], Beghi, A.[Alessandro],
A Nonlinear Model-Predictive Contouring Controller for Shared Control Driving Assistance in High-Performance Scenarios,
SMCS(53), No. 1, January 2023, pp. 204-215.
IEEE DOI 2301
Load modeling, Wheels, Vehicles, Computational modeling, Tires, Vehicle dynamics, Predictive models, Cooperative systems, road vehicle control BibRef

Keller, K.[Katharina], Jöntgen, H.[Hendrik], Abdel-Karim, B.M.[Benjamin M.], Hinz, O.[Oliver],
User Cognition Antecedents of Smart Assistant Systems in Cars,
ITS(24), No. 1, January 2023, pp. 37-53.
IEEE DOI 2301
Automobiles, Vehicles, Mathematical models, Context modeling, Automotive engineering, Aircraft, Virtual assistants, user preferences BibRef

Mu, H.Y.[Hong-Yuan], Li, Z.B.[Ze-Bin], Sun, G.Z.[Guo-Zheng], Li, L.[Liang], Zhao, Y.T.[Yong-Tao], Mei, M.M.[Ming-Ming],
An autonomous emergency braking strategy based on non-linear model predictive deceleration control,
IET-ITS(17), No. 3, 2023, pp. 562-574.
DOI Link 2303
autonomous emergency braking, deceleration control, deceleration rate to avoid collision, non-linear model predictive control BibRef

Zhao, T.[Tong], He, J.X.[Jun-Xiang], Lv, J.C.[Jing-Cheng], Min, D.[Delei], Wei, Y.[Yintao],
A Comprehensive Implementation of Road Surface Classification for Vehicle Driving Assistance: Dataset, Models, and Deployment,
ITS(24), No. 8, August 2023, pp. 8361-8370.
IEEE DOI 2308
Roads, Friction, Feature extraction, Training, Sensors, Task analysis, Robustness, Road classification, road surface monitoring, driving assistance BibRef

Li, C.X.[Cheng-Xi], Chan, S.H.[Stanley H.], Chen, Y.T.[Yi-Ting],
DROID: Driver-Centric Risk Object Identification,
PAMI(45), No. 11, November 2023, pp. 13683-13698.
IEEE DOI 2310
BibRef

Kim, J.[Jinkyu], Misu, T.[Teruhisa], Chen, Y.T.[Yi-Ting], Tawari, A.[Ashish], Canny, J.[John],
Grounding Human-To-Vehicle Advice for Self-Driving Vehicles,
CVPR19(10583-10591).
IEEE DOI 2002
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Karlsson, M.[MariAnne], Novakazi, F.[Fjollë],
Drivers' usage of driving automation systems in different contexts: A survey in China, Germany, Spain and USA,
IET-ITS(17), No. 10, 2023, pp. 2004-2019.
DOI Link 2310
advanced driver assistance system, automated driving automation systems, usage BibRef

Cruz-Nacpil, E.J.[Edric John], Han, J.[Jiye], Jeon, I.[Il],
Artificial Intelligence-Assisted Robustness of Optoelectronics for Automated Driving: A Review,
ITS(25), No. 1, January 2024, pp. 57-73.
IEEE DOI 2402
Sensors, Robot sensing systems, Laser radar, Cameras, Robustness, Hardware, Vehicles, Advanced driver assistance system, physiological measurement BibRef

Greer, R.[Ross], Gopalkrishnan, A.[Akshay], Keskar, M.[Maitrayee], Trivedi, M.M.[Mohan M.],
Patterns of vehicle lights: Addressing complexities of camera-based vehicle light datasets and metrics,
PRL(178), 2024, pp. 209-215.
Elsevier DOI Code:
WWW Link. 2402
Vehicle lights, Object detection, Feature extraction, Computer vision, Hierarchical detection and association, Autonomous driving BibRef

Xu, X.[Xincao], Liu, K.[Kai], Dai, P.[Penglin], Xie, R.[Ruitao], Cao, J.J.[Jing-Jing], Luo, J.T.[Jiang-Tao],
Cooperative Sensing and Heterogeneous Information Fusion in VCPS: A Multi-Agent Deep Reinforcement Learning Approach,
ITS(25), No. 6, June 2024, pp. 4876-4891.
IEEE DOI 2406
Vehicular Cyber-Physical Systems. Sensors, Task analysis, Data dissemination, Trajectory, Computational modeling, Vehicle-to-infrastructure, multi-agent deep reinforcement learning BibRef

Ge, J.W.[Jing-Wei], Zhang, J.W.[Jia-Wei], Chang, C.[Cheng], Zhang, Y.[Yi], Yao, D.[Danya], Li, L.[Li],
Task-Driven Controllable Scenario Generation Framework Based on AOG,
ITS(25), No. 6, June 2024, pp. 6186-6199.
IEEE DOI 2406
AOG: And-Or Graph. Behavioral sciences, Testing, Task analysis, Scenario generation, Autonomous vehicles, Uncertainty, Trajectory, Scenario generation. BibRef

Liu, J.Q.[Jing-Qi], Zhang, Y.[Yaonan], Liu, J.[Jie], Wang, Z.B.[Zhao-Bin], Zhang, Z.X.[Zhi-Xing],
Automated Recognition of Snow-Covered and Icy Road Surfaces Based on T-Net of Mount Tianshan,
RS(16), No. 19, 2024, pp. 3727.
DOI Link 2410
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Jiang, Y.[Yue], Li, W.J.[Wen-Jing], Kuang, J.[Jian], Zhang, J.[Jun], Wu, Z.C.[Zhong-Cheng], Rezaei, M.[Mahdi],
Strong-Help-Weak: An Online Multi-Task Inference Learning Approach for Robust Advanced Driver Assistance Systems,
ITS(25), No. 11, November 2024, pp. 16653-16665.
IEEE DOI 2411
Task analysis, Multitasking, Training, Adaptation models, Data models, Real-time systems, Object detection, ADAS BibRef

Yang, W.[Weikang], Bu, Y.[Yingcheng], Li, D.[Dagang], Xu, W.[Wei],
MCSGCalib: Multi-Constraint-Based Extrinsic Calibration of Solid-State LiDAR and GNSS/INS for Autonomous Vehicles,
ITS(25), No. 11, November 2024, pp. 18791-18804.
IEEE DOI 2411
Calibration, Laser radar, Accuracy, Feature extraction, Strips, Autonomous vehicles, Sensors, advanced driver assistance system BibRef

Sun, C.H.[Cheng-Hao], Sun, P.P.[Peng-Peng], Wang, J.Q.[Jian-Qiu], Guo, Y.[Ying], Zhao, X.[Xiangmo],
Understanding LiDAR Performance for Autonomous Vehicles Under Snowfall Conditions,
ITS(25), No. 11, November 2024, pp. 16462-16472.
IEEE DOI 2411
Laser radar, Sensors, Snow, Meteorology, Autonomous vehicles, Noise, Sun, LiDAR sensor, snowfall, performance evaluation, autonomous vehicle BibRef

Yao, S.L.[Shan-Liang], Guan, R.[Runwei], Wu, Z.D.[Zhao-Dong], Ni, Y.[Yi], Huang, Z.[Zile], Liu, R.W.[Ryan Wen], Yue, Y.[Yong], Ding, W.P.[Wei-Ping], Lim, E.G.[Eng Gee], Seo, H.[Hyungjoon], Man, K.L.[Ka Lok], Ma, J.[Jieming], Zhu, X.H.[Xiao-Hui], Yue, Y.[Yutao],
WaterScenes: A Multi-Task 4D Radar-Camera Fusion Dataset and Benchmarks for Autonomous Driving on Water Surfaces,
ITS(25), No. 11, November 2024, pp. 16584-16598.
IEEE DOI Code:
WWW Link. 2411
Radar, Cameras, Radar imaging, Autonomous vehicles, Task analysis, Meteorology, Multitasking, Autonomous driving, multi-task, unmanned surface vehicle BibRef


Liu, X.L.[Xiao-Lu], Wang, S.[Song], Li, W.[Wentong], Yang, R.[Ruizi], Chen, J.[Junbo], Zhu, J.[Jianke],
MGMap: Mask-Guided Learning for Online Vectorized HD Map Construction,
CVPR24(14812-14821)
IEEE DOI Code:
WWW Link. 2410
Location awareness, Codes, Annotations, Shape, Roads, Feature extraction, HD Map, Autonomous Driving, BEV Perception BibRef

Cordes, K.[Kai], Broszio, H.[Hellward],
Camera-Based Road Snow Coverage Estimation,
BRAVO23(4013-4021)
IEEE DOI 2401
BibRef

Yang, D.K.[Ding-Kang], Huang, S.[Shuai], Xu, Z.[Zhi], Li, Z.P.[Zhen-Peng], Wang, S.L.[Shun-Li], Li, M.C.[Ming-Cheng], Wang, Y.Z.[Yu-Zheng], Liu, Y.[Yang], Yang, K.[Kun], Chen, Z.Y.[Zhao-Yu], Wang, Y.[Yan], Liu, J.[Jing], Zhang, P.X.[Pei-Xuan], Zhai, P.[Peng], Zhang, L.H.[Li-Hua],
AIDE: A Vision-Driven Multi-View, Multi-Modal, Multi-Tasking Dataset for Assistive Driving Perception,
ICCV23(20402-20413)
IEEE DOI Code:
WWW Link. 2401
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Fukuda, T.[Taichi], Hasegawa, K.[Kotaro], Ishizaki, S.[Shinya], Nobuhara, S.[Shohei], Nishino, K.[Ko],
Blindspotnet: Seeing Where We Cannot See,
AVVision22(554-569).
Springer DOI 2304
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Malla, S.[Srikanth], Choi, C.[Chiho], Dwivedi, I.[Isht], Choi, J.H.[Joon Hee], Li, J.C.[Jia-Chen],
DRAMA: Joint Risk Localization and Captioning in Driving,
WACV23(1043-1052)
IEEE DOI 2302
Location awareness, Visualization, Computational modeling, Benchmark testing, Linguistics, Applications: Robotics, Vision + language and/or other modalities BibRef

Gopinath, D.[Deepak], DeCastro, J.[Jonathan], Rosman, G.[Guy], Sumner, E.[Emily], Morgan, A.[Allison], Hakimi, S.[Shabnam], Stent, S.[Simon],
HMIway-env: A Framework for Simulating Behaviors and Preferences to Support Human-AI Teaming in Driving,
HCIS22(4341-4349)
IEEE DOI 2210
Training, Adaptation models, Fatigue, Behavioral sciences, Pattern recognition, Artificial intelligence, Task analysis BibRef

Molaie, M.[Mahdi], Amirkhani, A.[Abdollah], Kashiani, H.[Hossein],
Auto-Driving Policies in Highway based on Distributional Deep Reinforcement Learning,
IPRIA21(1-6)
IEEE DOI 2201
Road transportation, Training, Measurement, Urban areas, Reinforcement learning, Probabilistic logic, driver assistance system BibRef

di Biase, G.[Giancarlo], Blum, H.[Hermann], Siegwart, R.[Roland], Cadena, C.[Cesar],
Pixel-wise Anomaly Detection in Complex Driving Scenes,
CVPR21(16913-16922)
IEEE DOI 2111
Image segmentation, Uncertainty, Computational modeling, Semantics, Measurement uncertainty, Robustness BibRef

Song, H.,
The Application of Computer Vision in Responding to the Emergencies of Autonomous Driving,
CVIDL20(1-5)
IEEE DOI 2102
edge detection, emergency services, hidden Markov models, image motion analysis, mobile robots, robot vision, Model human behavior BibRef

Ly, A.O.[Abdoulaye O.], Akhloufi, M.A.[Moulay A.],
Combining Asynchronous Events and Traditional Frames for Steering Angle Prediction,
ICIAR20(I:244-252).
Springer DOI 2007
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Virgilio G, V.R.[Víctor R.], Sossa, H.[Humberto], Zamora, E.[Erik],
Vision-based Blind Spot Warning System by Deep Neural Networks,
MCPR20(185-194).
Springer DOI 2007
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Gordon, D.[Daniel], Kadian, A.[Abhishek], Parikh, D.[Devi], d Hoffman, J.[Judy], Batra, D.[Dhruv],
SplitNet: Sim2Sim and Task2Task Transfer for Embodied Visual Navigation,
ICCV19(1022-1031)
IEEE DOI 2004
learning (artificial intelligence), mobile robots, path planning, robot vision, visual perception, SplitNet, Data mining BibRef

Pubudu Sanjeewani, T.G., Verma, B.,
Learning and Analysis of AusRAP Attributes from Digital Video Recording for Road Safety,
IVCNZ19(1-6)
IEEE DOI 2004
feature extraction, image classification, image segmentation, learning (artificial intelligence), road safety, BibRef

Bhargava, P.,
On Generalizing Detection Models for Unconstrained Environments,
AutoNUE19(4296-4301)
IEEE DOI 2004
driver information systems, image classification, learning (artificial intelligence), object detection, domain adaptation BibRef

Albrecht, C., Kraus, S., Zimmermann, A., Stilla, U.,
A Concept for An Automated Approach of Public Transport Vehicles to A Bus Stop,
PIA19(13-20).
DOI Link 1912
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Singha, A., Bhowmik, M.K.,
TU-VDN: Tripura University Video Dataset at Night Time in Degraded Atmospheric Outdoor Conditions for Moving Object Detection,
ICIP19(2936-2940)
IEEE DOI 1910
Moving Object Detection, Night Time, Thermal Infrared, Tripura University Video Dataset at Night time (TU-VDN), Ground Truth BibRef

Hornauer, S.[Sascha], Zipser, K.[Karl], Yu, S.[Stella],
Imitation Learning of Path-Planned Driving Using Disparity-Depth Images,
POCV18(V:542-548).
Springer DOI 1905
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Yellapragada, B.[Baladitya], Anderson, A.[Alexander], Yu, S.[Stella], Zipser, K.[Karl],
Motion Selectivity of Neurons in Self-driving Networks,
POCV18(V:535-541).
Springer DOI 1905
Can optical flow filters implicitly learned by a neural network be trained to drive a vehicle. BibRef

Shen, Y., Yan, W.Q.,
Blind Spot Monitoring Using Deep Learning,
IVCNZ18(1-5)
IEEE DOI 1902
Automobiles, Monitoring, Accidents, Cameras, Hidden Markov models, Deep learning BibRef

Iordache, L.[Livia], Paunescu, V.[Vlad], Kang, W.J.[Won-Jun], Kwon, J.[Joonhyung], Leica, A.[Andrei], Jeon, B.[Byeong_Moon],
Low-Complexity Scene Understanding Network,
CIAP19(I:245-256).
Springer DOI 1909
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Yang, Z., Zhang, Y., Yu, J., Cai, J., Luo, J.,
End-to-end Multi-Modal Multi-Task Vehicle Control for Self-Driving Cars with Visual Perceptions,
ICPR18(2289-2294)
IEEE DOI 1812
Visualization, Roads, Cameras, Task analysis, Image sequences, Velocity control, Kernel BibRef

Rhinehart, N.[Nicholas], Kitani, K.M.[Kris M.], Vernaza, P.[Paul],
r2p2: A ReparameteRized Pushforward Policy for Diverse, Precise Generative Path Forecasting,
ECCV18(XIII: 794-811).
Springer DOI 1810
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Zendel, O.[Oliver], Honauer, K.[Katrin], Murschitz, M.[Markus], Steininger, D.[Daniel], Domínguez, G.F.[Gustavo Fernández],
WildDash: Creating Hazard-Aware Benchmarks,
ECCV18(VI: 407-421).
Springer DOI 1810
Dataset, Highway Hazards. Driving hazards. BibRef

Liang, X.D.[Xiao-Dan], Wang, T.[Tairui], Yang, L.[Luona], Xing, E.[Eric],
CIRL: Controllable Imitative Reinforcement Learning for Vision-Based Self-driving,
ECCV18(VII: 604-620).
Springer DOI 1810
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Machiraju, H., Channappayya, S.S.,
An Evaluation Metric for Object Detection Algorithms in Autonomous Navigation Systems and its Application to a Real-Time Alerting System,
ICIP18(81-85)
IEEE DOI 1809
Meteorology, Measurement, Object detection, Degradation, Real-time systems, Cameras, Autonomous vehicles, Extreme weather conditions BibRef

Aranjuelo, N.[Nerea], Unzueta, L.[Luis], Arganda-Carreras, I.[Ignacio], Otaegui, O.[Oihana],
Multimodal Deep Learning for Advanced Driving Systems,
AMDO18(95-105).
Springer DOI 1807
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Gross, B.[Benno], Bretschneider-Hagemes, M.[Michael], Stefan, A.[Andreas], Rissler, J.[Jörg],
Monitors vs. Smart Glasses: A Study on Cognitive Workload of Digital Information Systems on Forklift Trucks,
DHM18(569-578).
Springer DOI 1807
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Kalb, L.[Luis], Bengler, K.[Klaus],
Modelling the Process of Controlling an Automated Steering Maneuver,
DHM18(588-598).
Springer DOI 1807
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Chen, L.F.[Liang-Fu], Yang, Z.[Zeng], Ma, J.J.[Jian-Jun], Luo, Z.[Zheng],
Driving Scene Perception Network: Real-Time Joint Detection, Depth Estimation and Semantic Segmentation,
WACV18(1283-1291)
IEEE DOI 1806
graphics processing units, image segmentation, learning (artificial intelligence), object detection, Task analysis BibRef

Olier, J.S., Marín-Plaza, P., Martín, D., Marcenaro, L., Barakova, E., Rauterberg, M., Regazzoni, C.,
Dynamic representations for autonomous driving,
AVSS17(1-6)
IEEE DOI 1806
Bayes methods, filtering theory, intelligent transportation systems, Vehicle dynamics BibRef

Lee, K.[Kyuho], Choe, G.[Gyeongmin], Bong, K.[Kyeongryeol], Kim, C.[Changhyeon], Kweon, I.S.[In So], Yoo, H.J.[Hoi-Jun],
A Real-Time and Energy-Efficient Embedded System for Intelligent ADAS with RNN-Based Deep Risk Prediction using Stereo Camera,
CVS17(346-356).
Springer DOI 1711
advanced driver assistance system. BibRef

Brabandere, B.D., Neven, D., Van Gool, L.J.,
Semantic Instance Segmentation for Autonomous Driving,
DeepLearnRV17(478-480)
IEEE DOI 1709
Automobiles, Benchmark testing, Image segmentation, Measurement, Semantics BibRef

Krutsch, R., Schlagenhaft, R.,
Diagnostic Mechanism and Robustness of Safety Relevant Automotive Deep Convolutional Networks,
ECVW17(378-385)
IEEE DOI 1709
Computer architecture, Hardware, Labeling, Monte Carlo methods, Roads, Safety, Vehicles BibRef

Murase, H.,
Image recognition for driver assistance in intelligent vehicles,
MVA17(406-411)
DOI Link 1708
Cameras, Data models, Feature extraction, Image recognition, Organizations, Vehicles BibRef

Palmer, L., Bialkowski, A., Brostow, G.J., Ambeck-Madsen, J., Lavie, N.,
Predicting the Perceptual Demands of Urban Driving with Video Regression,
WACV17(409-417)
IEEE DOI 1609
Automobiles, Cameras, Data collection, Global Positioning System, Load modeling, Roads, Visualization BibRef

Beaucamps, P.E., Blanc Kalray, F.,
Demo: MPPA: manycore processor towards future ADAS system solutions,
DASIP16(243-244)
IEEE DOI 1704
driver information systems BibRef

Wang, W., Camut, F., Miramond, B.,
Generation of schedule tables on multi-core systems for AUTOSAR applications,
DASIP16(191-198)
IEEE DOI 1704
automobile industry BibRef

Viswanath, P., Chitnis, K., Swami, P., Mody, M., Shivalingappa, S., Nagori, S., Mathew, M., Desappan, K., Jagannathan, S., Poddar, D., Jain, A., Garud, H., Appia, V., Mangla, M., Dabral, S.,
A Diverse Low Cost High Performance Platform for Advanced Driver Assistance System (ADAS) Applications,
ECVW16(819-827)
IEEE DOI 1612
BibRef

Lu, F., Lee, S., Satzoda, R.K., Trivedi, M.M.,
Embedded Computing Framework for Vision-Based Real-Time Surround Threat Analysis and Driver Assistance,
ECVW16(901-909)
IEEE DOI 1612
BibRef

Xie, J., Kiefel, M., Sun, M.T., Geiger, A.,
Semantic Instance Annotation of Street Scenes by 3D to 2D Label Transfer,
CVPR16(3688-3697)
IEEE DOI 1612
BibRef

Ha, J.[Jeongmok], Jun, W.[Woo_Yeol], Jeong, H.[Hong],
Moving Object Detection Using SIFT Matching on Three Frames for Advanced Driver Assistance Systems,
ICCVG16(474-485).
Springer DOI 1611
BibRef
Earlier: A2, A1, A3:
Moving Object Detection Using Energy Model and Particle Filter for Dynamic Scene,
PSIVT15(111-122).
Springer DOI 1602
BibRef

Ali, A., Bayoumi, M.A.,
Towards real-time DPM object detector for driver assistance,
ICIP16(3842-3846)
IEEE DOI 1610
Acceleration BibRef

Jain, A.[Ashesh], Koppula, H.S.[Hema S.], Raghavan, B.[Bharad], Soh, S.[Shane], Saxena, A.[Ashutosh],
Car that Knows Before You Do: Anticipating Maneuvers via Learning Temporal Driving Models,
ICCV15(3182-3190)
IEEE DOI 1602
Cameras BibRef

Chen, C., Seff, A., Kornhauser, A., Xiao, J.,
DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving,
ICCV15(2722-2730)
IEEE DOI 1602
Automobiles; Games; Neural networks; Roads; Robots; Testing; Training BibRef

Hanel, A., Stilla, U.,
Semantic Road Scene Knowledge for Robust Self-calibration Of Environment-observing Vehicle Cameras,
PIA19(103-110).
DOI Link 1912
BibRef

Hanel, A., Klöden, H., Hoegner, L., Stilla, U.,
Image Based Recognition of Dynamic Traffic Situations by Evaluating the Exterior Surrounding and Interior Space of Vehicles,
CMRT15(161-168).
DOI Link 1602
BibRef

Desai, A.[Alok], Lee, D.J.[Dah-Jye], Mody, S.[Shreeya],
Automatic Motion Classification for Advanced Driver Assistance Systems,
ISVC15(II: 819-829).
Springer DOI 1601
BibRef

Urhahne, J.A.[Joseph A.], Piastowski, P.[Patrick], van der Voort, M.C.[Mascha C.],
Modelling and Experimental Study for Automated Congestion Driving,
ISVC15(I: 784-794).
Springer DOI 1601
BibRef

Cao, J.[Jun], Wang, Y.L.[Yi-Lin], Li, B.X.[Bao-Xin],
Real-time vehicle back-up warning system with a single camera,
ICIP15(2275-2279)
IEEE DOI 1512
Computer Vision BibRef

Wu, H.[Hao], Siu, W.C.[Wan-Chi],
Real time railway extraction by angle alignment measure,
ICIP15(4560-4564)
IEEE DOI 1512
Driver Assistant System; gradient angle; railway extraction BibRef

Kumtepe, O., Akar, G.B., Yuncu, E.,
Driver aggressiveness detection using visual information from forward camera,
AVSS15(1-6)
IEEE DOI 1511
accident prevention BibRef

Gruyer, D.[Dominique], Belaroussi, R.[Rachid], Li, X.P.[Xuan-Peng], Lusetti, B.[Benoit], Revilloud, M.[Marc], Glaser, S.[Sebastien],
PerSEE: A central sensors fusion electronic control unit for the development of perception-based ADAS,
MVA15(250-254)
IEEE DOI 1507
Cameras; Radar tracking; Roads; Sensor fusion; Vehicles Advanced Driver Assistance Systems. BibRef

Singh, A.[Anurag], Chu, C.H.H.[Chee Hung Henry], Pratt, M.A.[Michael A.],
Visually salient features for highway scene analysis,
MVA15(357-360)
IEEE DOI 1507
Cameras BibRef

Kiselev, A.[Andrey], Kristoffersson, A.[Annica], Loutfi, A.[Amy],
Combining Semi-autonomous Navigation with Manned Behaviour in a Cooperative Driving System for Mobile Robotic Telepresence,
ACVR14(17-28).
Springer DOI 1504
BibRef

Ros, G.[German], Ramos, S.[Sebastian], Granados, M.[Manuel], Bakhtiary, A.[Amir], Vazquez, D.[David], Lopez, A.M.[Antonio M.],
Vision-Based Offline-Online Perception Paradigm for Autonomous Driving,
WACV15(231-238)
IEEE DOI 1503
Cameras BibRef

Ding, W.J.[Wen-Jie], Qiao, L.M.[Li-Meng], Qiu, X.[Xi], Zhang, C.[Chi],
PivotNet: Vectorized Pivot Learning for End-to-end HD Map Construction,
ICCV23(3649-3659)
IEEE DOI 2401
for driving maps. BibRef

Zhao, D.C.[Dan-Chen], Liu, Y.H.[Yue-Hu], Zhang, C.[Chi], Li, Y.C.[Yao-Chen],
Autonomous Driving Simulation for Unmanned Vehicles,
WACV15(185-190)
IEEE DOI 1503
Computational modeling BibRef

Juric, D.[Darko], Loncaric, S.[Sven],
A Unified Approach for On-Road Visual Night-Time Vehicle Light Detection,
ISVC14(I: 730-739).
Springer DOI 1501
BibRef

Prakash, C.D.[Charan D.], Li, J.J.[Jin-Jin], Akhbari, F.[Farshad], Karam, L.J.[Lina J.],
Sparse Depth Calculation Using Real-Time Key-Point Detection and Structure from Motion for Advanced Driver Assist Systems,
ISVC14(I: 740-751).
Springer DOI 1501
BibRef

Yao, C.W.[Chia-Wei], Cheng, K.S.[Kai-Sheng], Lin, H.Y.[Huei-Yung],
A vision assisted vehicle navigation technique based on topological map construction and scene recognition,
AVSS14(399-404)
IEEE DOI 1411
Cameras BibRef

Tamburo, R.[Robert], Nurvitadhi, E.[Eriko], Chugh, A.[Abhishek], Chen, M.[Mei], Rowe, A.[Anthony], Kanade, T.[Takeo], Narasimhan, S.G.[Srinivasa G.],
Programmable Automotive Headlights,
ECCV14(IV: 750-765).
Springer DOI 1408
BibRef

Bernini, N.[Nicola], Bertozzi, M.[Massimo],
Comparison of Three Approaches for Scenario Classification for the Automotive Field,
CIAP13(I:582-591).
Springer DOI 1311
Advanced Driver Assistance Systems. BibRef

Spangenberg, R.[Robert], Langner, T.[Tobias], Rojas, R.[Raúl],
Weighted Semi-Global Matching and Center-Symmetric Census Transform for Robust Driver Assistance,
CAIP13(II:34-41).
Springer DOI 1311
BibRef

Haltakov, V.[Vladimir], Unger, C.[Christian], Ilic, S.[Slobodan],
Framework for Generation of Synthetic Ground Truth Data for Driver Assistance Applications,
GCPR13(323-332).
Springer DOI 1311
BibRef

Li, Y.[You], Ruichek, Y.[Yassine],
Observing Dynamic Urban Environment through Stereo-Vision Based Dynamic Occupancy Grid Mapping,
CIAP13(II:379-388).
Springer DOI 1309
For vehicle guidance. BibRef

Duraisamy, B.[Bharanidhar], Schwarz, T.[Tilo], Wohler, C.[Christian],
Track level fusion algorithms for automotive safety applications,
ICSIPR13(179-184).
IEEE DOI 1304
BibRef

Choi, J.W.[Jong-Won], Ahn, B.T.[Byung Tae], Kweon, I.S.[In So],
Crosswalk and traffic light detection via integral framework,
FCV13(309-312).
IEEE DOI 1304
BibRef

Khan, W.[Waqar], Klette, R.[Reinhard],
Accuracy of Trajectories Estimation in a Driver-Assistance Context,
PSIVTWS13(47-58).
Springer DOI 1402
BibRef

Hermann, S.[Simon], Klette, R.[Reinhard],
Iterative Semi-Global Matching for Robust Driver Assistance Systems,
ACCV12(III:465-478).
Springer DOI 1304

See also Evaluation of a New Coarse-to-Fine Strategy for Fast Semi-Global Stereo Matching. BibRef

Minoura, K.[Kazuma], Watanabe, T.[Toyohide],
Driving support by estimating vehicle behavior,
ICPR12(1144-1147).
WWW Link. 1302
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Casares, M.[Mauricio], Almagambetov, A.[Akhan], Velipasalar, S.[Senem],
A Robust Algorithm for the Detection of Vehicle Turn Signals and Brake Lights,
AVSS12(386-391).
IEEE DOI 1211
BibRef

Trujillo, N.[Noel], Toll, C.[Chrystoph], Sciretti, D.[Daniele], Sanchez, S.[Silvia], Ritter, A.[Andrej], Kaes, C.[Christian], Jedhe, V.[Vrushali], Jager, G.[Gabriela], Danch, D.[Daniel], Colombo, A.[Alessandro], Carreno, S.[Sebastian], Aulinas, J.[Josep],
Adasens Advanced Driver Assistance Systems Live Demo,
ECCVDemos12(III: 659-662).
Springer DOI 1210
BibRef

Stein, F.[Fridtjof],
The challenge of putting vision algorithms into a car,
ECVW12(89-94).
IEEE DOI 1207
BibRef

Xu, J.[Jie], Chen, H.[Hui], Ding, W.[Weifu], Zhao, C.S.[Chang-Sheng], Morris, J.,
Robust optical flow for Driver Assistance,
IVCNZ10(1-7).
IEEE DOI 1203
BibRef

Garcia, R., Aycard, O., Vu, T.D.[Trung-Dung], Ahrholdt, M.,
High level sensor data fusion for automotive applications using occupancy grids,
ICARCV08(530-535).
IEEE DOI 1109
BibRef

Lalonde, J.[Jeffrey], Laganiere, R.[Robert], Martel, L.[Luc],
Single-view obstacle detection for smart back-up camera systems,
ECVW12(1-8).
IEEE DOI 1207
BibRef

Schulz, A.[Andreas], Damer, N.[Naser], Fischer, M.[Mika], Stiefelhagen, R.[Rainer],
Combined Head Localization and Head Pose Estimation for Video-Based Advanced Driver Assistance Systems,
DAGM11(51-60).
Springer DOI 1109
BibRef

Li, Y.[Ying], Pankanti, S.[Sharath],
A performance study of an intelligent headlight control system,
WACV11(440-447).
IEEE DOI 1101
BibRef

Yu, T.H.[Tsz-Ho], Moon, Y.S.[Yiu-Sang], Chen, J.S.[Jian-Sheng], Fung, H.K.[Hung-Kwan], Ko, H.F.[Hoi-Fung], Wang, R.[Ran],
An Intelligent Night Vision System for Automobiles,
MVA09(505-).
PDF File. 0905
BibRef

Prisacariu, V.A.[Victor Adrian], Timofte, R.[Radu], Zimmermann, K.[Karel], Reid, I.D.[Ian D.], Van Gool, L.J.[Luc J.],
Integrating Object Detection with 3D Tracking Towards a Better Driver Assistance System,
ICPR10(3344-3347).
IEEE DOI 1008
BibRef

Xu, C.[Chao], Liu, F.Q.[Fu-Qiang], Li, Z.P.[Zhi-Peng],
Real-Time Stereovision Approach of Object Detection for Driving Assistance,
CISP09(1-5).
IEEE DOI 0910
BibRef

Han, J.[Jun], Liu, F.Q.[Fu-Qiang], Li, Z.P.[Zhi-Peng], Zhang, S.S.[Shan-Shan],
Multi-Sensor Based Perception Network for Vehicle Driving Assistance,
CISP09(1-6).
IEEE DOI 0910
BibRef

Jiang, R.[Ruyi], Klette, R.[Reinhard], Vaudrey, T.[Tobi], Wang, S.G.[Shi-Gang],
Ego-Vehicle Corridors for Vision-Based Driver Assistance,
IWCIA09(238-251).
Springer DOI 0911
BibRef

Klette, R.[Reinhard], Jiang, R.[Ruyi], Morales, S.[Sandino], Vaudrey, T.[Tobi],
Discrete Driver Assistance,
ISMM09(1-12).
Springer DOI 0908
BibRef

Sánchez, J.A.[Jorge A.], Klette, R.[Reinhard], Destefanis, E.[Eduardo],
Estimating 3D Flow for Driver Assistance Applications,
PSIVT09(237-248).
Springer DOI 0901
BibRef

López, A.M.[Antonio M.], Hilgenstock, J.[Jörg], Busse, A.[Andreas], Baldrich, R.[Ramón], Lumbreras, F.[Felipe], Serrat, J.[Joan],
Nighttime Vehicle Detection for Intelligent Headlight Control,
ACIVS08(xx-yy).
Springer DOI 0810
BibRef

Ayoob, E.M., Grace, R., and Steinfeld, A.,
Driver-Vehicle-Interface (DVI) Development of a Drowsy Driver Detection and Warning System for Commercial Vehicles,
CMU-RI-TR-05-46, September, 2005.
WWW Link. BibRef 0509

Ehlgen, T.[Tobias], Thom, M.[Markus], Glaser, M.[Markus],
Omnidirectional Cameras as Backing-Up Aid,
OMNIVIS07(1-5).
IEEE DOI 0710
BibRef

Baker, C.[Chris], Debrunner, C.H.[Chris H.], Gooding, S.[Sean], Hoff, W.[William], Severson, W.E.[William E.],
Autonomous Vehicle Video Aided Navigation: Coupling INS and Video Approaches,
ISVC06(II: 534-543).
Springer DOI 0611
BibRef

Ehlgen, T., Pajdla, T.[Tomás],
Maneuvering Aid for Large Vehicle using Omnidirectional Cameras,
WACV07(17-17).
IEEE DOI 0702
BibRef

Chen, Y.L.[Yen-Lin], Chen, Y.H.[Yuan-Hsin], Chen, C.J.[Chao-Jung], Wu, B.F.[Bing-Fei],
Nighttime Vehicle Detection for Driver Assistance and Autonomous Vehicles,
ICPR06(I: 687-690).
IEEE DOI 0609
BibRef

Capriglione, D.[Domenico], Marrocco, C.[Claudio], Molinara, M.[Mario], Tortorella, F.[Francesco],
SVM Based Regression Schemes for Instruments Fault Accommodation in Automotive Systems,
CIAP05(1117-1124).
Springer DOI 0509
BibRef

Ikenoya, K., Shimizu, O., Furukawa, Y., Tatsutani, T.,
Study of situation adaptive drive assist system,
IVS04(896-901).
IEEE DOI 0411
BibRef

Becker, J.C., Stampfle, M.,
Fusion and filtering of multidimensional objects for driver assistance systems,
IVS04(613-618).
IEEE DOI 0411
BibRef

Kawasaki, N., Kiencke, U.,
Standard platform for sensor fusion on advanced driver assistance system using Bayesian Network,
IVS04(250-255).
IEEE DOI 0411
BibRef

Cech, M., Niem, W., Abraham, S., Stiller, C.,
Dynamic ego-pose estimation for driver assistance in urban environments,
IVS04(43-48).
IEEE DOI 0411
BibRef

Lefaix, G., Marchand, E., Bouthemy, P.,
Motion-based obstacle detection and tracking for car driving assistance,
ICPR02(IV: 74-77).
IEEE DOI 0211
BibRef

Clady, X., Collange, F., Jurie, F., Martinet, P.,
Object Tracking with Pan-Tilt-Zoom Camera: Application to car driving assistance,
SCIA01(P-W5). 0206
BibRef

von Seelen, W., Curio, C., Gayko, J., Handmann, U., Kalinke, T.,
Scene Analysis and Organization of Behavior in Driver Assistance Systems,
ICIP00(Vol III: 524-527).
IEEE DOI 0008
BibRef

Luong, Q.T., Weber, J.W.[Joseph W.], Koller, D.[Dieter], Malik, J.[Jitendra],
An Integrated Stereo-Based Approach to Automatic Vehicle Guidance,
ICCV95(52-57).
IEEE DOI Stereo. Stereo, Motion. Motion and Stereo. BibRef 9500
Earlier: A4, A2, A1, A3:
Smart Cars and Smart Roads,
BMVC95(xx-yy).
PDF File. 9509
Road and obstacle tracking using stereo. BibRef

Chapter on Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following continues in
Driver Assistance, Intervention, Take Over Analysis, Performance .


Last update:Nov 26, 2024 at 16:40:19