15.3.1.9 Driver Assistance Systems and Techniques

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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.
DOI Link 1906
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

Monroe, D.[Don],
I Don't Understand My Car,
CACM(62), No. 8, August 2019, pp. 18-19.
DOI Link 1908
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
BibRef

Gürbüz, H.[Habib], Buyruk, S.[Serhat],
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
BibRef

Siebert, F.W.[Felix Wilhelm], Radtke, F.[Fabian], Kiyonaga, E.[Erin], Höger, R.[Rainer],
Adjustable automation and manoeuvre control in automated driving,
IET-ITS(13), No. 12, December 2019, pp. 1780-1784.
DOI Link 1912
BibRef

Chen, J., Wu, Z., Zhang, J.,
Driving Safety Risk Prediction Using Cost-Sensitive With Nonnegativity-Constrained Autoencoders Based on Imbalanced Naturalistic Driving Data,
ITS(20), No. 12, December 2019, pp. 4450-4465.
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.
WWW Link. 2005
BibRef

Antony, J.[Joseph], Manikandan, S.[Suchetha],
Expanding vision-based ADAS for non-structured environments,
IET-ITS(14), No. 6, June 2020, pp. 620-627.
DOI Link 2005
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.
DOI Link 2005
BibRef

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,
SPMag(37), No. 4, July 2020, pp. 72-84.
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,
SPMag(37), No. 4, July 2020, pp. 14-23.
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.
DOI Link 2007
BibRef

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
BibRef

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.
WWW Link. 2109
BibRef

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
BibRef

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,
IJGI(10), No. 10, 2021, pp. xx-yy.
DOI Link 2110
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
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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
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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
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Earlier: A2, A1, A3:
Moving Object Detection Using Energy Model and Particle Filter for Dynamic Scene,
PSIVT15(111-122).
Springer DOI 1602
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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
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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).
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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
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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).
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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

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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