15.3.1.4 Autonomous Vehicles, Surveys, Collections, Overviews

UZH-FPV Drone Racing Dataset,
2019.
HTML Version. Dataset, Visual Odometry. 28 real-world sequences where a quadrotor controlled in first-person view. 1906

See also Are We Ready for Autonomous Drone Racing? The UZH-FPV Drone Racing Dataset.

The ROad event Awareness Dataset for Autonomous Driving (ROAD),
2021
WWW Link. Dataset, Autonomous Driving. It contains 22 long-duration videos (ca 8 minutes each), ideal for continual learning research, annotated in terms of road events, defined as triplets E = (Agent, Action, Location) and represented as tubes, i.e., a series of frame-wise bounding box detections. ROAD is a large, high-quality multi-label benchmark, with 122K labelled video frames comprising 560K detection bounding boxes associated with 1.7M unique individual labels (560K agent labels, 640K action labels and 499K location labels).

DSEC: A Stereo Event Camera Dataset for Driving Scenarios,
2021.
HTML Version. CVPR 2021 competition dataset. Dataset, Stereo. Dataset, Driving. 2104
Stereo Event Camera large-scale dataset for challenging driving scenarios! DSEC features over 400GB of data including stereo VGA Prophesee event cameras, stereo RGB cameras, Velodyne lidar, and RTK-GPS, recorded in challenging high-dynamic-range, day and night, sunrise and sunset, urban and Swiss-mountain driving scenarios.

Iyengar, S.S., and Kashyap, R.L., Guest editors for
Autonomous Intelligent Machines,
Computer(22), No. 6, June 1989. A special issue. Many of the papers are not vision related and are not listed here. BibRef 8906

Masaki, I., (Ed.),
Vision-based Vehicle Guidance,
Berlin: Springer-Verlag1992, 356 pp. BibRef 9200 BookReferenced as BibRef VVGCollection of articles on the IVHS (intelligent vehicle and highway systems) work covering steering, collision avoidance, warning systems. BibRef

Kanade, T.[Takeo], Reed, M.L.[Michael L.], Weiss, L.E.[Lee E.],
New Technologies and Applications in Robotics,
CACM(37), No. 3, March 1994, pp. 58-67. Describes various systems (NAVLAB) for mobile outdoor navigation. BibRef 9403

Masaki, I.,
Vision-Based Mobile Robots on Highways,
AdvRob(9), No. 4, 1995, pp. 417-427. BibRef 9500

Meyrowitz, A.L., Blidberg, D.R., and Michelson, R.C.,
Autonomous Vehicles,
PIEEE(84), 1996, pp. 1145-1164. BibRef 9600

Aloimonos, Y., (Ed.),
Visual Navigation: From Biological Systems to Unmanned Ground Vehicles,
ErlbaumHillsdale, NJ, 1996. BibRef 9600

Broggi, A.,
Preface to the Special Section on Machine Vision for Intelligent Vehicles and Autonomous Robots,
EngAAI(11), No. 2, April 1998, pp. 161-162. 9807
BibRef

Broggi, A., Dickmanns, E.D.,
Applications of computer vision to intelligent vehicles,
IVC(18), No. 5, April 2000, pp. 365-366.
Elsevier DOI 0003
BibRef

Asada, M.[Minoru], Veloso, M.M.[Manuela M.], Tambe, M.[Milind], Noda, I.[Itsuki], Kitano, H.[Hiroaki], Kraetzschmar, G.K.[Gerhard K.],
Overview of RoboCup-98,
AIMag(21), No. 1, Spring 2000, pp. 9-19. Survey of the event. The winners have articles in the issue. 0009
BibRef

Coradeschi, S.[Silvia], Karlsson, L.[Lars], Stone, P.[Peter], Balch, T.[Tucker], Kraetzschmar, G.K.[Gerhard K.], Asada, M.[Minoru],
Overview of RoboCup-99,
AIMag(21), No. 3, Fall 2000, pp. 11-18. Survey of the event. The winners have articles in the issue. 0009
BibRef

Dudek, G.[Gregory], Jenkin, M.R.M.[Michael R.M.], Milios, E.E.[Evangelos E.],
Mobile Agent Perception,
IVC(19), No. 11, September 2001, pp. 711.
Elsevier DOI Special issue introduction. 0108
BibRef

Zheng, Y.F., Yun, X.P.,
Introduction to the Special Issue on Mobile Robots,
RAMag(2), No. 1, March 1995, pp. 2-5. BibRef 9503

de Souza, G.N.[Guilherme N.], Kak, A.C.[Avinash C.],
Vision for Mobile Robot Navigation: A Survey,
PAMI(24), No. 2, February 2002, pp. 237-267.
IEEE DOI 0202
Mobile Robots. Survey, Mobile Robots. Reviews 20 years of work. BibRef

Broggi, A., Ikeuchi, K., Thorpe, C.E.,
Special issue on vision applications and technology for intelligent vehicles: part I-infrastructure,
ITS(1), No. 2, June 2000, pp. 69-71.
IEEE Abstract. 0402
BibRef

Broggi, A.,
Special issue on vision applications and technology for intelligent vehicles: Part II - vehicles,
ITS(1), No. 3, September 2000, pp. 133-134.
IEEE Abstract. 0402
BibRef

Tsotsos, J.K.[John K.], Crisman, J.D.[Jill D.],
Introduction, Vision-Based Aids for the Disabled,
IVC(16), No. 4, March 1998, pp. 223.
Elsevier DOI 0401
BibRef

Murphy, R.R., Rogers, E.,
Introduction to the Special Issue on Human-Robot Interaction,
SMC-C(34), No. 2, May 2004, pp. 101-102.
IEEE Abstract. 0407
BibRef

Burke, J.L., Murphy, R.R., Rogers, E., Lumelsky, V.J., Scholtz, J.,
Final report for the DARPA/NSF interdisciplinary study on human-robot interaction,
SMC-C(34), No. 2, May 2004, pp. 103-112.
IEEE Abstract. 0407
BibRef

Barnes, N.M., and Liu, Z.Q.[Zhi-Qiang],
Knowledge-based Vision-Guided Robots,
Physica-Verlag2002. ISBN 3-7908-1494-6. BibRef 0200

Sanz, P.J., Marin, R., Sanchez, J.S.,
Special Issue on 'Pattern Recognition for Autonomous Manipulation in Robotic Systems',
SMC-C(35), No. 1, February 2005, pp. 1-3.
IEEE Abstract. 0501
BibRef

Wang, F.Y., Mirchandani, P.B., Tang, S.,
Guest Editorial Advanced Traveler Information Systems and Vision-Based Techniques for ITS,
ITS(6), No. 1, March 2005, pp. 1-4.
IEEE Abstract. 0501
BibRef

Matthies, L.H.[Larry H.], Maimone, M.W.[Mark W.], Johnson, A.[Andrew], Cheng, Y.[Yang], Willson, R.[Reg], Villalpando, C.[Carlos], Goldberg, S.[Steve], Huertas, A.[Andres], Stein, A.[Andrew], Angelova, A.[Anelia],
Computer Vision on Mars,
IJCV(75), No. 1, October 2007, pp. 67-92.
Springer DOI 0709
Mars rovers, etc. BibRef

Di, K., Wang, J., He, S., Wu, B., Chen, W., Li, R., Matthies, L.H., Howard, A.B.,
Towards Autonomous Mars Rover Localization: Operations in 2003 MER Mission and New Developments for Future Missions,
ISPRS08(B1: 957 ff).
PDF File. 0807
BibRef

Nunes, U., Laugier, C., Trivedi, M.M.,
Guest Editorial Introducing Perception, Planning, and Navigation for Intelligent Vehicles,
ITS(10), No. 3, September 2009, pp. 375-379.
IEEE DOI 0909
Special issue intro. BibRef

Bechar, A., Meyer, J., Edan, Y.,
An Objective Function to Evaluate Performance of Human-Robot Collaboration in Target Recognition Tasks,
SMC-C(39), No. 6, November 2009, pp. 611-620.
IEEE DOI 0911
Evaluation of different levels of interaction. BibRef

Tkach, I., Bechar, A., Edan, Y.,
Switching Between Collaboration Levels in a Human-Robot Target Recognition System,
SMC-C(41), No. 6, November 2011, pp. 955-967.
IEEE DOI 1110
real-time switching. Adapt to changes in environment. BibRef

Diosi, A., Segvic, S., Remazeilles, A., Chaumette, F.,
Experimental Evaluation of Autonomous Driving Based on Visual Memory and Image-Based Visual Servoing,
ITS(12), No. 3, September 2011, pp. 870-883.
IEEE DOI 1109
BibRef

Ploeg, J., Shladover, S.E., Nijmeijer, H., van de Wouw, N.,
Introduction to the Special Issue on the 2011 Grand Cooperative Driving Challenge,
ITS(13), No. 3, September 2012, pp. 989-993.
IEEE DOI 1209
BibRef

Ploeg, J., Englund, C., Nijmeijer, H., Semsar-Kazerooni, E., Shladover, S.E., Voronov, A., van de Wouw, N.,
Guest Editorial Introduction to the Special Issue on the 2016 Grand Cooperative Driving Challenge,
ITS(19), No. 4, April 2018, pp. 1208-1212.
IEEE DOI 1804
BibRef

Broggi, A., Cerri, P., Debattisti, S., Laghi, M.C., Medici, P., Molinari, D., Panciroli, M., Prioletti, A.,
PROUD: Public Road Urban Driverless-Car Test,
ITS(16), No. 6, December 2015, pp. 3508-3519.
IEEE DOI 1512
Autonomous automobiles BibRef

Kirkpatrick, K.[Keith],
The Moral Challenges of Driverless Cars,
CACM(58), No. 8, August 2015, pp 19-20.
DOI Link 1507
BibRef

Greenblatt, N.A.,
Self-driving cars and the law,
Spectrum(53), No. 2, February 2016, pp. 46-51.
IEEE DOI 1603
Accidents; Autonomous automobiles; Legal aspects BibRef

Gomes, L.,
When will Google's self-driving car really be ready? It depends on where you live and what you mean by 'ready',
Spectrum(53), No. 5, May 2016, pp. 13-14.
IEEE DOI 1605
News BibRef

Li, L., Hu, D.,
Introduction to the Special Issue on Unmanned Intelligent Vehicles in China,
ITS(17), No. 7, July 2016, pp. 2020-2021.
IEEE DOI 1608
China;Special issues and sections;Unmanned aerial vehicles BibRef

Bila, C., Sivrikaya, F., Khan, M.A., Albayrak, S.,
Vehicles of the Future: A Survey of Research on Safety Issues,
ITS(18), No. 5, May 2017, pp. 1046-1065.
IEEE DOI 1705
Survey, Driver Assistance. Collision avoidance, Roads, Safety, Stereo vision, Taxonomy, Vehicles, Advanced driver assistance systems, collision avoidance, connected vehicles, intelligent vehicles, vehicle detection, vehicle, safety BibRef

Ross, P.E.,
The curious incident of the robocar in the night-time,
Spectrum(55), No. 1, January 2018, pp. 44-45.
IEEE DOI 1801
automobiles, mobile robots, actual self-driving cars, level 0, level 1, level 2, level 3, level 4 autonomy, level 5, night-time, Safety BibRef

Coelingh, E., Nilsson, J., Buffum, J.,
Driving tests for self-driving cars,
Spectrum(55), No. 3, March 2018, pp. 40-45.
IEEE DOI 1804
automobiles, mobile robots, road safety, testing, Autoliv, Gothenburg, Sweden, Swedish auto-safety company, Volvo, Zenuity, Sensors BibRef

Edwards, J.,
Signal Processing Improves Autonomous Vehicle Navigation Accuracy: Guidance Innovations Promise Safer and More Reliable Autonomous Vehicle Operation,
SPMag(36), No. 2, March 2019, pp. 15-18.
IEEE DOI 1903
[Special Reports] mobile robots, navigation, remotely operated vehicles, signal processing, telecommunication network reliability, Autonomous vehicles BibRef

Bonnefon, J., Shariff, A., Rahwan, I.,
The trolley, the bull bar, and why engineers should care about the ethics of autonomous cars,
PIEEE(107), No. 3, March 2019, pp. 502-504.
IEEE DOI 1903
[point of view]. Autonomous automobiles, Autonomous vehicles, Ethics, Accidents, Road traffic, Vehicle safety, Market opportunities, Design methodology BibRef

Adamson, G., Havens, J.C., Chatila, R.,
Designing a Value-Driven Future for Ethical Autonomous and Intelligent Systems,
PIEEE(107), No. 3, March 2019, pp. 518-525.
IEEE DOI 1903
Ethics, Intelligent systems, Organizations, Robots, Autonomous veicles, Accidents, Social implications of technology, technology and society BibRef

Autonomous trucks need people,
Spectrum(56), No. 3, March 2019, pp. 21-21.
IEEE DOI 1904
[Opinion] BibRef

Zhou, Z.Q.[Zhi Quan], Sun, L.Q.[Li-Qun],
Metamorphic Testing of Driverless Cars,
CACM(62), No. 3, March 2019, pp. 61-67.
DOI Link 1906
BibRef

Authors, N.[No],
Guest Editorial: Recent Advances on Vehicle to Everything (V2X): Emerging Applications and Technologies,
IET-ITS(13), No. 6, June 2019, pp. 925-926.
DOI Link 1906
BibRef

Malone, K.M.[Kerry M.], Soekroella, A.M.G.[Aroen M.G.],
Estimating benefits of C-ITS deployment, when legacy roadside systems are present,
IET-ITS(13), No. 5, May 2019, pp. 915-924.
DOI Link 1906
BibRef

Curry, E., Sheth, A.,
Next-Generation Smart Environments: From System of Systems to Data Ecosystems,
IEEE_Int_Sys(33), No. 3, May-June 2018, pp. 69-76.
IEEE DOI 1908
Digital environments supporting smart cars, etc. BibRef

Laplante, P.[Phil],
My Mother the Car (or Why It's a Bad Idea to Give Your Car a Personality),
IT Professional(21), No. 2, 2019.
WWW Link. 1908
BibRef

AI Engineers: The autonomous-vehicle industry wants you: Cruise's AI chief, Hussein Mehanna, talks jobs, careers, and self-driving cars,
Spectrum(56), No. 09, September 2019, pp. 4-4.
IEEE DOI 1909
News item, Spectral Lines. BibRef

Regazzoni, C., Pitas, I.,
Perspectives in Autonomous Systems Research,
SPMag(36), No. 5, September 2019, pp. 148-147.
IEEE DOI 1909
[In the Spotlight Section] Autonomous systems, Sensors, Task analysis, Actuators, Statistical analysis BibRef

Winkler, S.[Stephanie], Zeaedally, S.[Sherali], Evans, K.[Katrine],
Privacy and Civilian Drone Use: The Need for Further Regulation,
SecurityPrivacy(16), No. 5, 2018.
WWW Link. 1912
Discussion of legal needs. BibRef

Xu, S.B.[Shao-Bing], Peng, H.[Huei],
Design, Analysis, and Experiments of Preview Path Tracking Control for Autonomous Vehicles,
ITS(21), No. 1, January 2020, pp. 48-58.
IEEE DOI 2001
Vehicle dynamics, Roads, Trajectory, Optimization, Heuristic algorithms, Frequency-domain analysis, vehicle dynamics control BibRef

Xu, S.B.[Shao-Bing], Peng, H.[Huei], Tang, Y.F.[Yi-Fan],
Preview Path Tracking Control With Delay Compensation for Autonomous Vehicles,
ITS(22), No. 5, May 2021, pp. 2979-2989.
IEEE DOI 2105
Delays, Stability analysis, Tracking, Vehicle dynamics, Delay effects, Roads, Control design, Autonomous vehicles, preview control BibRef

Perry, T.S.,
Here comes driverless ride sharing: Cruise unveils the origin, a fully autonomous SUV designed for app-controlled urban transportation,
Spectrum(57), No. 3, March 2020, pp. 4-4.
IEEE DOI 2003
Spectral Lines. News item. BibRef

Liu, S., Gaudiot, J.,
Autonomous vehicles lite self-driving technologies should start small, go slow,
Spectrum(57), No. 3, March 2020, pp. 36-49.
IEEE DOI 2003
BibRef

Edwards, J.,
Robotics Rolls Into High Gear With Signal Processing: A robotics revolution promises to transform global industries and services, and signal processing is at the forefront,
SPMag(37), No. 2, March 2020, pp. 10-13.
IEEE DOI 2003
[Special Reports] Drones, Robots, Robot sensing systems, Signal processing. BibRef

Zhou, W., Berrio, J.S., Worrall, S., Nebot, E.,
Automated Evaluation of Semantic Segmentation Robustness for Autonomous Driving,
ITS(21), No. 5, May 2020, pp. 1951-1963.
IEEE DOI 2005
System validation, semantic segmentation, autonomous driving BibRef

Anderson, M.,
The road ahead for self-driving cars: The AV industry has had to reset expectations, as it shifts its focus to level 4 autonomy,
Spectrum(57), No. 5, May 2020, pp. 8-9.
IEEE DOI 2005
[News] BibRef

Claussmann, L., Revilloud, M., Gruyer, D., Glaser, S.,
A Review of Motion Planning for Highway Autonomous Driving,
ITS(21), No. 5, May 2020, pp. 1826-1848.
IEEE DOI 2005
Planning, Autonomous vehicles, Roads, Automotive engineering, Automobiles, Advanced driver assistance systems, path planning BibRef

Skrickij, V.[Viktor], Šabanovic, E.[Eldar], Žuraulis, V.[Vidas],
Autonomous road vehicles: recent issues and expectations,
IET-ITS(14), No. 6, June 2020, pp. 471-479.
DOI Link 2005
BibRef

Yasuda, Y.D.V.[Yuri D. V.], Martins, L.E.G.[Luiz Eduardo G.], Cappabianco, F.A.M.[Fabio A. M.],
Autonomous Visual Navigation for Mobile Robots: A Systematic Literature Review,
Surveys(53), No. 1, February 2020, pp. xx-yy.
DOI Link 2006
Survey, Autonomous Navigation. Mobile robots, visual navigation, systematic literature review, autonomous navigation BibRef

Karam, L.J., Katupitiya, J., Milanes, V., Pitas, I., Ye, J.,
Autonomous Driving: Part 1-Sensing and Perception,
SPMag(37), No. 4, July 2020, pp. 11-13.
IEEE DOI 2007
[From the Guest Editors] Special issue and sections, Autonomous vehicles, Laser radar, Market research, Ultrasonic imaging, Safety BibRef

Heath, R.W.,
Communications and Sensing: An Opportunity for Automotive Systems [From the Editor],
SPMag(37), No. 4, July 2020, pp. 3-13.
IEEE DOI 2007
BibRef

Janai, J.[Joel], Güney, F.[Fatma], Behl, A.[Aseem], Geiger, A.[Andreas],
Computer Vision for Autonomous Vehicles: Problems, Datasets and State of the Art,
FTCGV(12), No. 1-3, 2020, pp. 1-308.
DOI Link 2007
Survey, Autonomous Vehicles. BibRef

Abdulsattar, H.[Harith], Siam, M.R.K.[Mohammad Rayeedul Kalam], Wang, H.Z.[Hai-Zhong],
Characterisation of the impacts of autonomous driving on highway capacity in a mixed traffic environment: an agent-based approach,
IET-ITS(14), No. 9, September 2020, pp. 1132-1141.
DOI Link 2008
BibRef

Thomas, E.[Elena], McCrudden, C.[Connie], Wharton, Z.[Zachary], Behera, A.[Ardhendu],
Perception of autonomous vehicles by the modern society: a survey,
IET-ITS(14), No. 10, October 2020, pp. 1228-1239.
DOI Link 2009
BibRef

Cusumano, M.A.[Michael A.],
Self-Driving Vehicle Technology: Progress and Promises,
CACM(63), No. 10, October 2020, pp. 20-22.
DOI Link 2009
Review, news item. BibRef

Marcano, M., Díaz, S., Pérez, J., Irigoyen, E.,
A Review of Shared Control for Automated Vehicles: Theory and Applications,
HMS(50), No. 6, December 2020, pp. 475-491.
IEEE DOI 2011
Cooperative systems, Automation, Haptic interfaces, Advanced driver assistance systems, Human-robot interaction, shared control BibRef

Nascimento, A.M., Vismari, L.F., Molina, C.B.S.T., Cugnasca, P.S., Camargo, J.B., de Almeida, J.R., Inam, R., Fersman, E., Marquezini, M.V., Hata, A.Y.,
A Systematic Literature Review About the Impact of Artificial Intelligence on Autonomous Vehicle Safety,
ITS(21), No. 12, December 2020, pp. 4928-4946.
IEEE DOI 2012
Safety, Autonomous vehicles, Databases, Systematics, Bibliographies, Autonomous vehicles, safety, artificial intelligence, machine intelligence BibRef

Fischer, C.[Colin], Sester, M.[Monika], Schön, S.[Steffen],
Spatio-Temporal Research Data Infrastructure in the Context of Autonomous Driving,
IJGI(9), No. 11, 2020, pp. xx-yy.
DOI Link 2012
BibRef

Bar, A., Lohdefink, J., Kapoor, N., Varghese, S.J., Huger, F., Schlicht, P., Fingscheidt, T.,
The Vulnerability of Semantic Segmentation Networks to Adversarial Attacks in Autonomous Driving: Enhancing Extensive Environment Sensing,
SPMag(38), No. 1, January 2021, pp. 42-52.
IEEE DOI 2012
Image segmentation, Perturbation methods, Semantics, Cameras, Sensors, Task analysis, Autonomous vehicles BibRef

Deter, D., Wang, C., Cook, A., Perry, N.K.,
Simulating the Autonomous Future: A Look at Virtual Vehicle Environments and How to Validate Simulation Using Public Data Sets,
SPMag(38), No. 1, January 2021, pp. 111-121.
IEEE DOI 2012
Measurement, Heuristic algorithms, Signal processing algorithms, Virtual environments, Tutorials, Tools, Vehicle dynamics BibRef

Ackerman, E.,
Robot Trucks Overtake Robot Cars: This year, trucks will drive themselves on public roads with no one on board,
Spectrum(58), No. 1, January 2021, pp. 42-43.
IEEE DOI 2101
Transportation, Companies, Autonomous automobiles, Automobiles, Autonomous vehicles BibRef

Wang, X., Zheng, X., Chen, W., Wang, F.Y.,
Visual Human-Computer Interactions for Intelligent Vehicles and Intelligent Transportation Systems: The State of the Art and Future Directions,
SMCS(51), No. 1, January 2021, pp. 253-265.
IEEE DOI 2101
Intelligent vehicles, Vehicles, Vehicle dynamics, Automation, Safety, Roads, Wheels, Augmented reality (AR), federated learning, visualization BibRef

Kuutti, S., Bowden, R., Jin, Y., Barber, P., Fallah, S.,
A Survey of Deep Learning Applications to Autonomous Vehicle Control,
ITS(22), No. 2, February 2021, pp. 712-733.
IEEE DOI 2102
Autonomous vehicles, Deep learning, Task analysis, Training, Neural networks, Sensors, Reinforcement learning, Machine learning, autonomous vehicles BibRef

Eskandarian, A., Wu, C., Sun, C.,
Research Advances and Challenges of Autonomous and Connected Ground Vehicles,
ITS(22), No. 2, February 2021, pp. 683-711.
IEEE DOI 2102
Sensor fusion, Wheels, Planning, Laser radar, Radar measurements, Connected autonomous vehicles, vehicle connectivity, vehicle control BibRef

Feng, D., Haase-Schütz, C., Rosenbaum, L., Hertlein, H., Gläser, C., Timm, F., Wiesbeck, W., Dietmayer, K.,
Deep Multi-Modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges,
ITS(22), No. 3, March 2021, pp. 1341-1360.
IEEE DOI 2103
Autonomous vehicles, Object detection, Cameras, Sensors, Laser radar, Fuses, Multi-modality, object detection, semantic segmentation, autonomous driving BibRef

Ryan, C., Murphy, F., Mullins, M.,
End-to-End Autonomous Driving Risk Analysis: A Behavioural Anomaly Detection Approach,
ITS(22), No. 3, March 2021, pp. 1650-1662.
IEEE DOI 2103
Anomaly detection, Accidents, Safety, Autonomous vehicles, Regulators, Roads, Autonomous vehicle, accident risk, Gaussian process BibRef

Xie, G.Q.[Guo-Qi], Wu, W.[Wei], Zeng, G.[Gang], Li, R.[Renfa], Hu, S.Y.[Shi-Yan],
Risk Assessment and Development Cost Optimization in Software Defined Vehicles,
ITS(22), No. 6, June 2021, pp. 3675-3686.
IEEE DOI 2106
Safety, Reliability, Software, Task analysis, Optimization, ISO Standards, Real-time systems, Software defined vehicles, cost, reliability BibRef

Rokonuzzaman, M.[Mohammad], Mohajer, N.[Navid], Nahavandi, S.[Saeid], Mohamed, S.[Shady],
Review and performance evaluation of path tracking controllers of autonomous vehicles,
IET-ITS(15), No. 5, 2021, pp. 646-670.
DOI Link 2106
BibRef

Karmakar, G.[Gour], Chowdhury, A.[Abdullahi], Das, R.[Rajkumar], Kamruzzaman, J.[Joarder], Islam, S.[Syed],
Assessing Trust Level of a Driverless Car Using Deep Learning,
ITS(22), No. 7, July 2021, pp. 4457-4466.
IEEE DOI 2107
Autonomous automobiles, Cameras, Automobiles, Security, Global Positioning System, Safety, Laser radar, Driverless car, intelligent transportation system BibRef

Motwani, S.[Sachin], Sharma, T.[Tarun], Gupta, A.[Anubha],
Ethics in Autonomous Vehicle Software: The Dilemmas,
Computer(54), No. 8, August 2021, pp. 46-55.
IEEE DOI 2108
Industries, Ethics, Autonomous vehicles, Reliability engineering, Software reliability, Automobiles BibRef

Burton, S.[Simon], McDermid, J.A.[John Alexander], Garnett, P.[Philip], Weaver, R.[Rob],
Safety, Complexity, and Automated Driving: Holistic Perspectives on Safety Assurance,
Computer(54), No. 8, August 2021, pp. 22-32.
IEEE DOI 2108
Cognition, Vehicle safety, Complexity theory, Autonomous vehicles, Quality assurance BibRef

Hu, L.[Lin], Zhou, X.[Xiqin], Zhang, X.[Xin], Wang, F.[Fang], Li, Q.[Qiqi], Wu, W.[Wenguang],
A review on key challenges in intelligent vehicles: Safety and driver-oriented features,
IET-ITS(15), No. 9, 2021, pp. 1093-1105.
DOI Link 2108
BibRef

Suchan, J.[Jakob], Bhatt, M.[Mehul], Varadarajan, S.[Srikrishna],
Commonsense visual sensemaking for autonomous driving: On generalised neurosymbolic online abduction integrating vision and semantics,
AI(299), 2021, pp. 103522.
Elsevier DOI 2108
Cognitive vision, Deep semantics, Declarative spatial reasoning, Spatial cognition and AI BibRef

Chen, R.[Rui], Arief, M.[Mansur], Zhang, W.Y.[Wei-Yang], Zhao, D.[Ding],
How to Evaluate Proving Grounds for Self-Driving? A Quantitative Approach,
ITS(22), No. 9, September 2021, pp. 5737-5748.
IEEE DOI 2109
Testing, Roads, Trajectory, Data mining, Measurement, Vehicle dynamics, Self-driving, testing, proving ground, design, unsupervised learning BibRef

Liu, M.[Mushuang], Wan, Y.[Yan], Lewis, F.L.[Frank L.], Atkins, E.[Ella], Wu, D.P.O.[Da-Peng Oliver],
Statistical Properties and Airspace Capacity for Unmanned Aerial Vehicle Networks Subject to Sense-and-Avoid Safety Protocols,
ITS(22), No. 9, September 2021, pp. 5890-5903.
IEEE DOI 2109
Atmospheric modeling, Protocols, Safety, Analytical models, Capacity planning, Markov processes, Aircraft, airspace capacity management BibRef

Uskova, O.[Olga],
On Russian Farms, the Robotic Revolution Has Begun: Hundreds of Aftermarket AIs are Harvesting Grain,
Spectrum(58), No. 9, September 2021, pp. 40-45.
IEEE DOI 2109
Satellites, Receivers, Agricultural machinery, Rocks, Robot sensing systems, Reliability, Sun BibRef

Wu, Z.Y.[Zhong-Yi], Zhou, H.M.[Hong-Mei], Xi, H.J.[Hai-Jiao], Wu, N.[Nan],
Analysing public acceptance of autonomous buses based on an extended TAM model,
IET-ITS(15), No. 10, 2021, pp. 1318-1330.
DOI Link 2109
BibRef

Jiang, K.[Kun], Yang, D.[Diange], Wijaya, B.[Benny], Zhang, B.[Bowei], Yang, M.M.[Meng-Meng], Zhang, K.[Kai], Tang, X.[Xuewei],
Adding ears to intelligent connected vehicles by combining microphone arrays and high definition map,
IET-ITS(15), No. 10, 2021, pp. 1228-1240.
DOI Link 2109
BibRef

Li, L.[Li], Zheng, N.N.[Nan-Ning], Wang, F.Y.[Fei-Yue],
A Theoretical Foundation of Intelligence Testing and Its Application for Intelligent Vehicles,
ITS(22), No. 10, October 2021, pp. 6297-6306.
IEEE DOI 2110
Testing, Intelligent vehicles, Picture archiving and communication systems, probably approximately correct (PAC) learning BibRef

Koopman, P.[Philip], Kuipers, B.[Benjamin], Widen, W.H.[William H.], Wolf, M.[Marilyn],
Ethics, Safety, and Autonomous Vehicles,
Computer(54), No. 12, December 2021, pp. 28-37.
IEEE DOI 2112
Ethics, Safety, Autonomous vehicles BibRef

Chattopadhyay, A.[Anupam], Lam, K.Y.[Kwok-Yan], Tavva, Y.[Yaswanth],
Autonomous Vehicle: Security by Design,
ITS(22), No. 11, November 2021, pp. 7015-7029.
IEEE DOI 2112
Security, Automobiles, Sensor systems, Actuators, Standards, Autonomous vehicles, Autonomous vehicles (AV), security, sociotechnical systems BibRef

Yu, T.F.[Teng-Fei], Huang, H.[He], Jiang, N.[Nana], Acharya, T.D.[Tri Dev],
Study on Relative Accuracy and Verification Method of High-Definition Maps for Autonomous Driving,
IJGI(10), No. 11, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Thombre, S.[Sarang], Zhao, Z.[Zheng], Ramm-Schmidt, H.[Henrik], García, J.M.V.[José M. Vallet], Malkamäki, T.[Tuomo], Nikolskiy, S.[Sergey], Hammarberg, T.[Toni], Nuortie, H.[Hiski], Bhuiyan, M.Z.H.[M. Zahidul H.], Särkkä, S.[Simo], Lehtola, V.V.[Ville V.],
Sensors and AI Techniques for Situational Awareness in Autonomous Ships: A Review,
ITS(23), No. 1, January 2022, pp. 64-83.
IEEE DOI 2201
Marine vehicles, Sensor systems, Artificial intelligence, Intelligent sensors, Global navigation satellite system, maritime BibRef

Mozaffari, S.[Sajjad], Al-Jarrah, O.Y.[Omar Y.], Dianati, M.[Mehrdad], Jennings, P.[Paul], Mouzakitis, A.[Alexandros],
Deep Learning-Based Vehicle Behavior Prediction for Autonomous Driving Applications: A Review,
ITS(23), No. 1, January 2022, pp. 33-47.
IEEE DOI 2201
TV, Autonomous vehicles, Sensors, Roads, History, Machine learning, Trajectory, Vehicle behaviour prediction, trajectory prediction, deep learning BibRef

Liu, S.S.[Shao-Shan], Gaudiot, J.L.[Jean-Luc],
Rise of the Autonomous Machines,
Computer(55), No. 1, January 2022, pp. 64-73.
IEEE DOI 2201
Planning, Cameras, Location awareness, Semantics, Synchronization, Software BibRef

Ross, P.E.[Philip E.],
Flying Pallets Without Pilots: A drone startup will test a radical new vision of long-range cargo transport in Europe,
Spectrum(59), No. 1, January 2022, pp. 30-31.
IEEE DOI 2201
Airplanes, Atmospheric modeling, Pallets, Drones BibRef

Tu, Y.J.T.[Yu-Ju Tony], Shang, S.S.[Shari S.], Wu, J.[Junyi],
Is Your Autonomous Vehicle as Smart as You Expected?,
CACM(65), No. 2, February 2022, pp. 31-34.
DOI Link 2202
BibRef

Bonnefon, J.F., Shariff, A., Rahwan, I.,
The social dilemma of autonomous vehicles,
Science(352), No. 6293, 2016, pp. 1573-1576.
DOI Link BibRef 1600

Aradi, S.[Szilárd],
Survey of Deep Reinforcement Learning for Motion Planning of Autonomous Vehicles,
ITS(23), No. 2, February 2022, pp. 740-759.
IEEE DOI 2202
Planning, Autonomous vehicles, Learning (artificial intelligence), Machine learning, Trajectory, reinforcement learning BibRef

Ahmed, M.L.[Mohammed Lawal], Iqbal, R.[Rahat], Karyotis, C.[Charalampos], Palade, V.[Vasile], Amin, S.A.[Saad Ali],
Predicting the Public Adoption of Connected and Autonomous Vehicles,
ITS(23), No. 2, February 2022, pp. 1680-1688.
IEEE DOI 2202
Autonomous vehicles, Vehicles, Machine learning, Safety, Predictive models, Autonomous automobiles, Roads, CAV adoption BibRef

Minhas, S.[Saad], Hernández-Sabaté, A.[Aura], Ehsan, S.[Shoaib], McDonald-Maier, K.D.[Klaus D.],
Effects of Non-Driving Related Tasks During Self-Driving Mode,
ITS(23), No. 2, February 2022, pp. 1391-1399.
IEEE DOI 2202
Automobiles, Roads, Task analysis, Manuals, Autonomous vehicles, Computer crashes, Mental work capacity, virtual environment BibRef

Machida, T.[Takashi], Shitaoka, K.[Kazuya],
Test Coverage Index for ADAS/ADS Assessment Based on Various Real-World Information Points,
ITS(23), No. 2, February 2022, pp. 1443-1455.
IEEE DOI 2202
How to assess Advanced Driving Assistance System/Autonomous Driving System. Indexes, Roads, Search problems, Accidents, Sensors, Cameras, ADAS/ADS assessment, test coverage index, real world modeling, FOT BibRef

Gao, H.B.[Hong-Bo], Zhu, J.[Juping], Zhang, T.[Tong], Xie, G.[Guotao], Kan, Z.[Zhen], Hao, Z.Y.[Zheng-Yuan], Liu, K.[Kang],
Situational Assessment for Intelligent Vehicles Based on Stochastic Model and Gaussian Distributions in Typical Traffic Scenarios,
SMCS(52), No. 3, March 2022, pp. 1426-1436.
IEEE DOI 2202
Uncertainty, Stochastic processes, Risk management, Trajectory, Vehicle dynamics, Intelligent vehicles, Predictive models, uncertainty risk awareness BibRef

Wang, Y.[Yibo], Xu, W.[Wei], Zhang, W.P.[Wen-Ping], Zhao, J.L.[J. Leon],
SafeDrive: A New Model for Driving Risk Analysis Based on Crash Avoidance,
ITS(23), No. 3, March 2022, pp. 2116-2129.
IEEE DOI 2203
Vehicles, Accidents, Safety, Acceleration, Analytical models, Logistics, Neural networks, Driving risk, safety space, deep learning BibRef

Kirkpatrick, K.[Keith],
Still Waiting for Self-Driving Cars,
CACM(65), No. 4, April 2022, pp. 12-14.
DOI Link 2204
News analysis of why. BibRef

Kuhn, C.B.[Christopher B.], Hofbauer, M.[Markus], Petrovic, G.[Goran], Steinbach, E.[Eckehard],
Introspective Failure Prediction for Autonomous Driving Using Late Fusion of State and Camera Information,
ITS(23), No. 5, May 2022, pp. 4445-4459.
IEEE DOI 2205
Uncertainty, Autonomous vehicles, Automobiles, Predictive models, Accidents, Data models, Estimation, Failure prediction, introspection BibRef

Kiran, B.R.[B. Ravi], Sobh, I.[Ibrahim], Talpaert, V.[Victor], Mannion, P.[Patrick], Al Sallab, A.A.[Ahmad A.], Yogamani, S.[Senthil], Pérez, P.[Patrick],
Deep Reinforcement Learning for Autonomous Driving: A Survey,
ITS(23), No. 6, June 2022, pp. 4909-4926.
IEEE DOI 2206
Reinforcement learning, Autonomous vehicles, Task analysis, Planning, Robot sensing systems, Pipelines, Decision making, safe reinforcement learning BibRef

Qian, R.[Rui], Lai, X.[Xin], Li, X.R.[Xi-Rong],
3D Object Detection for Autonomous Driving: A Survey,
PR(130), 2022, pp. 108796.
Elsevier DOI 2206
Survey, Object Detection. 3D object detection, Autonomous driving, Point clouds BibRef

Fu, Y.C.[Yu-Chuan], Li, C.L.[Chang-Le], Yu, F.R.[Fei Richard], Luan, T.H.[Tom H.], Zhang, Y.[Yao],
A Survey of Driving Safety With Sensing, Vehicular Communications, and Artificial Intelligence-Based Collision Avoidance,
ITS(23), No. 7, July 2022, pp. 6142-6163.
IEEE DOI 2207
Sensors, Collision avoidance, Autonomous vehicles, Artificial intelligence, Reliability, Vehicles, Trajectory, connected autonomous vehicle BibRef

Yu, S.Y.[Shih-Yuan], Malawade, A.V.[Arnav Vaibhav], Muthirayan, D.[Deepan], Khargonekar, P.P.[Pramod P.], Faruque, M.A.A.[Mohammad Abdullah Al],
Scene-Graph Augmented Data-Driven Risk Assessment of Autonomous Vehicle Decisions,
ITS(23), No. 7, July 2022, pp. 7941-7951.
IEEE DOI 2207
Risk management, Autonomous vehicles, Training, Pipelines, Computational modeling, Automobiles, Testing, Autonomous vehicle, graph convolutional neural network BibRef

Cao, Z.[Zhong], Xu, S.B.[Shao-Bing], Peng, H.[Huei], Yang, D.[Diange], Zidek, R.[Robert],
Confidence-Aware Reinforcement Learning for Self-Driving Cars,
ITS(23), No. 7, July 2022, pp. 7419-7430.
IEEE DOI 2207
Training, Reinforcement learning, Autonomous vehicles, Training data, Markov processes, Trajectory, Planning, motion planning BibRef

Zhu, B.[Bing], Zhang, P.X.[Pei-Xing], Zhao, J.[Jian], Deng, W.[Weiwen],
Hazardous Scenario Enhanced Generation for Automated Vehicle Testing Based on Optimization Searching Method,
ITS(23), No. 7, July 2022, pp. 7321-7331.
IEEE DOI 2207
Testing, Space exploration, Optimization, Security, Probability, Monte Carlo methods, Life estimation, Automated vehicles, Optimization Searching BibRef

Xu, S.[Sihan], Wang, Z.[Zhiyu], Fan, L.L.[Ling-Ling], Cai, X.[Xiangrui], Ji, H.[Hua], Khoo, S.C.[Siau-Cheng], Gupta, B.B.[Brij Bhooshan],
DeepSuite: A Test Suite Optimizer for Autonomous Vehicles,
ITS(23), No. 7, July 2022, pp. 9506-9517.
IEEE DOI 2207
Testing, Autonomous vehicles, Neurons, Deep learning, Labeling, Fuzzing, Statistics, Autonomous vehicles, data collection, test suite optimization BibRef

Derakhshan, S.[Shadi], Nezami, F.N.[Farbod Nosrat], Wächter, M.A.[Maximilian Alexander], Czeszumski, A.[Artur], Keshava, A.[Ashima], Lukanov, H.[Hristofor], de Palol, M.V.[Marc Vidal], Pipa, G.[Gordon], König, P.[Peter],
Talking Cars, Doubtful Users: A Population Study in Virtual Reality,
HMS(52), No. 4, August 2022, pp. 602-612.
IEEE DOI 2208
Automobiles, Magnetic heads, Angular velocity, Analysis of variance, Resists, Correlation, Visualization, virtual reality (VR) BibRef

Chen, Y.[Yuhao], Yang, C.[Chizhao], Gu, Y.[Yu], Hu, B.[Boyi],
Influence of Mobile Robots on Human Safety Perception and System Productivity in Wholesale and Retail Trade Environments: A Pilot Study,
HMS(52), No. 4, August 2022, pp. 624-635.
IEEE DOI 2208
Robots, Mobile robots, Safety, Task analysis, Trajectory, Productivity, Payloads, Autonomous path planning, physical and psychological safety BibRef

Brunel, A.[Anthony], Bourki, A.[Amine], Strauss, O.[Olivier], Demonceaux, C.[Cédric],
FLYBO: A Unified Benchmark Environment for Autonomous Flying Robots,
3DV21(1420-1431)
IEEE DOI 2201
Surface reconstruction, Codes, Benchmark testing, Inspection, Sensors, Complexity theory, Robotic Vision, Datasets, 3D Reconstruction BibRef

Li, L.[Li], Ismail, K.N.[Khalid N.], Shum, H.P.H.[Hubert P. H.], Breckon, T.P.[Toby P.],
DurLAR: A High-Fidelity 128-Channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-Modal Autonomous Driving Applications,
3DV21(1227-1237)
IEEE DOI 2201
Dataset, Autonomous Driving. Reflectivity, Laser radar, Image resolution, Supervised learning, Estimation, Benchmark testing, autonomous driving, dataset, three dimensional BibRef

Yuan, Y., Sester, M.,
Comap: a Synthetic Dataset for Collective Multi-agent Perception of Autonomous Driving,
ISPRS21(B2-2021: 255-263).
DOI Link 2201
BibRef

Jin, J.[Jiongchao], Fatemi, A.[Arezou], Lira, W.M.P.[Wallace Michel Pinto], Yu, F.[Fenggen], Leng, B.[Biao], Ma, R.[Rui], Mahdavi-Amiri, A.[Ali], Zhang, H.[Hao],
RaidaR: A Rich Annotated Image Dataset of Rainy Street Scenes,
AVVision21(2951-2961)
IEEE DOI 2112
Image segmentation, Rain, Annotations, Roads, Semantics BibRef

Xu, Q.[Qi], Ma, Y.[Yinan], Wu, J.[Jing], Long, C.[Chengnian], Huang, X.L.[Xiao-Lin],
CDAda: A Curriculum Domain Adaptation for Nighttime Semantic Segmentation,
AVVision21(2962-2971)
IEEE DOI 2112
Training, Adaptation models, Image segmentation, Computational modeling, Semantics, Training data, Entropy BibRef

Siam, M.[Mennatullah], Kendall, A.[Alex], Jagersand, M.[Martin],
Video Class Agnostic Segmentation Benchmark for Autonomous Driving,
WAD21(2819-2828)
IEEE DOI 2109
Training, Tracking, Motion segmentation, Semantics, Video sequences, Benchmark testing BibRef

Swan, R.M.[R. Michael], Atha, D.[Deegan], Leopold, H.A.[Henry A.], Gildner, M.[Matthew], Oij, S.[Stephanie], Chiu, C.[Cindy], Ono, M.[Masahiro],
AI4MARS: A Dataset for Terrain-Aware Autonomous Driving on Mars,
AI4Space21(1982-1991)
IEEE DOI 2109
Training, Space vehicles, Deep learning, Productivity, Mars, Image segmentation, Semantics BibRef

Thoduka, S.[Santosh], Hochgeschwender, N.[Nico],
Benchmarking Robots by Inducing Failures in Competition Scenarios,
DHM21(II:263-276).
Springer DOI 2108
BibRef

Papachristodoulou, A.[Andreas], Kyrkou, C.[Christos], Theocharides, T.[Theocharis],
DriveGuard: Robustification of Automated Driving Systems with Deep Spatio-Temporal Convolutional Autoencoder,
WACVW21(107-116) Autonomous Vehicle Vision
IEEE DOI 2105
Image segmentation, Computational modeling, Semantics, Computer architecture, Cameras BibRef

Xu, W.[Weihuang], Souly, N.[Nasim], Brahma, P.P.[Pratik Prabhanjan],
Reliability of GAN Generated Data to Train and Validate Perception Systems for Autonomous Vehicles,
WACVW21(171-180) Autonomous Vehicle Vision
IEEE DOI 2105
Training, Training data, Object detection, Tools, Generative adversarial networks, Data models BibRef

Rosano, M.[Marco], Furnari, A.[Antonino], Gulino, L.[Luigi], Farinella, G.M.[Giovanni Maria],
On Embodied Visual Navigation in Real Environments Through Habitat,
ICPR21(9740-9747)
IEEE DOI 2105
Simulators to generat navagiation data. Deep learning, Visualization, Adaptation models, Actuators, Navigation, Virtual environments, Reinforcement learning BibRef

Koilias, A.[Alexandros], Mousas, C.[Christos], Rekabdar, B.[Banafsheh], Anagnostopoulos, C.N.[Christos-Nikolaos],
Passenger Anxiety About Virtual Driver Awareness During a Trip with a Virtual Autonomous Vehicle,
ISVC20(I:654-665).
Springer DOI 2103
BibRef

Sun, B., Sha, H., Rafie, M., Yang, L.,
CDVA/VCM: Language for Intelligent and Autonomous Vehicles,
ICIP20(3104-3108)
IEEE DOI 2011
Navigation, Transform coding, Standards, Autonomous vehicles, Natural languages, Feature extraction, Roads, CDVA, VCM, Language, Autonomous Vehicles BibRef

Wong, K.[Kelvin], Zhang, Q.A.[Qi-Ang], Liang, M.[Ming], Yang, B.[Bin], Liao, R.J.[Ren-Jie], Sadat, A.[Abbas], Urtasun, R.[Raquel],
Testing the Safety of Self-driving Vehicles by Simulating Perception and Prediction,
ECCV20(XXVI:312-329).
Springer DOI 2011
BibRef

Zhang, S., Peng, H., Nageshrao, S., Tseng, H.E.,
Generating Socially Acceptable Perturbations for Efficient Evaluation of Autonomous Vehicles,
SAIAD20(1341-1347)
IEEE DOI 2008
Perturbation methods, Learning (artificial intelligence), Training, Machine learning, Games, Mathematical model, Autonomous vehicles BibRef

Caesar, H., Bankiti, V., Lang, A.H., Vora, S., Liong, V.E., Xu, Q., Krishnan, A., Pan, Y., Baldan, G., Beijbom, O.,
nuScenes: A Multimodal Dataset for Autonomous Driving,
CVPR20(11618-11628)
IEEE DOI 2008
Sensors, Laser radar, Cameras, Radar tracking, Autonomous vehicles BibRef

Ettinger, S.[Scott], Cheng, S.Y.[Shu-Yang], Caine, B.[Benjamin], Liu, C.X.[Chen-Xi], Zhao, H.[Hang], Pradhan, S.[Sabeek], Chai, Y.N.[Yu-Ning], Sapp, B.[Ben], Qi, C.[Charles], Zhou, Y.[Yin], Yang, Z.[Zoey], Chouard, A.[Aurélien], Sun, P.[Pei], Ngiam, J.[Jiquan], Vasudevan, V.[Vijay], McCauley, A.[Alexander], Shlens, J.[Jonathon], Anguelov, D.[Dragomir],
Large Scale Interactive Motion Forecasting for Autonomous Driving: The Waymo Open Motion Dataset,
ICCV21(9690-9699)
IEEE DOI 2203
Measurement, Computational modeling, Roads, Urban areas, Predictive models, Data models, Datasets and evaluation, Motion and tracking BibRef

Sun, P., Kretzschmar, H., Dotiwalla, X., Chouard, A., Patnaik, V., Tsui, P., Guo, J., Zhou, Y., Chai, Y., Caine, B., Vasudevan, V., Han, W., Ngiam, J., Zhao, H., Timofeev, A., Ettinger, S., Krivokon, M., Gao, A., Joshi, A., Zhang, Y., Shlens, J., Chen, Z., Anguelov, D.,
Scalability in Perception for Autonomous Driving: Waymo Open Dataset,
CVPR20(2443-2451)
IEEE DOI 2008
Laser radar, Cameras, Autonomous vehicles, Radar tracking, Semantics BibRef

Rashed, H.[Hazem], Mohamed, E.[Eslam], Sistu, G.[Ganesh], Kumar, V.R.[Varun Ravi], Eising, C.[Ciarán], El-Sallab, A.[Ahmad], Yogamani, S.[Senthil],
Generalized Object Detection on Fisheye Cameras for Autonomous Driving: Dataset, Representations and Baseline,
WACV21(2271-2279)
IEEE DOI
PDF File. Results:
WWW Link. 2106
Measurement, Adaptation models, Image segmentation, Object detection, Cameras, Sampling methods BibRef

Yogamani, S., Hughes, C., Horgan, J., Sistu, G., Chennupati, S., Uricar, M., Milz, S., Simon, M., Amende, K., Witt, C., Rashed, H., Nayak, S., Mansoor, S., Varley, P., Perrotton, X., Odea, D., Pérez, P.,
WoodScape: A Multi-Task, Multi-Camera Fisheye Dataset for Autonomous Driving,
ICCV19(9307-9317)
IEEE DOI
WWW Link. 2004
Dataset, Autonomous Driving. automotive electronics, cameras, driver information systems, image annotation, Nonlinear distortion BibRef

Lakshminarayana, N.,
Large Scale Multimodal Data Capture, Evaluation and Maintenance Framework for Autonomous Driving Datasets,
AutoNUE19(4302-4309)
IEEE DOI 2004
learning (artificial intelligence), sensor fusion, traffic engineering computing, open-source framework, framework BibRef

Yang, G.R.[Guo-Run], Song, X.[Xiao], Huang, C.Q.[Chao-Qin], Deng, Z.D.[Zhi-Dong], Shi, J.P.[Jian-Ping], Zhou, B.[Bolei],
DrivingStereo: A Large-Scale Dataset for Stereo Matching in Autonomous Driving Scenarios,
CVPR19(899-908).
IEEE DOI 2002
BibRef

Varma, G., Subramanian, A., Namboodiri, A., Chandraker, M., Jawahar, C.V.,
IDD: A Dataset for Exploring Problems of Autonomous Navigation in Unconstrained Environments,
WACV19(1743-1751)
IEEE DOI 1904
image segmentation, learning (artificial intelligence), mobile robots, path planning, road traffic, robot vision, Motorcycles BibRef

Loquercio, A.[Antonio], Kaufmann, E.[Elia], Ranflt, R.[Rene], Mueller, M.[Matthias], Koltun, V.[Vladlen], Scaramuzza, D.[Davide],
Learning High-Speed Flight in the Wild,
Science Robotics2021.
WWW Link. Project page:
HTML Version. Code, dataset page:
WWW Link. Code, Drone Control. BibRef 2100

Codevilla, F.[Felipe], López, A.M.[Antonio M.], Koltun, V.[Vladlen], Dosovitskiy, A.[Alexey],
On Offline Evaluation of Vision-Based Driving Models,
ECCV18(XV: 246-262).
Springer DOI 1810
BibRef

Geiger, A.[Andreas], Lenz, P.[Philip], Urtasun, R.[Raquel],
Are we ready for autonomous driving? The KITTI vision benchmark suite,
CVPR12(3354-3361).
IEEE DOI 1208
BibRef

Leonard, J.J.[John J.],
Challenges for Autonomous Mobile Robots,
IMVIP07(4-4).
IEEE DOI 0709
BibRef

Jolic, M.S.N.,
Modelling the Robotised Multiterminal Port System: RMT-PS,
IVS04(222-225).
IEEE DOI 0411
Analysis of the cargo handling system. BibRef

Manduchi, R., Matthies, L.H., Pollara, F.,
From cross-country autonomous navigation to intelligent deep space communications: visual sensor processing at JPL,
CIAP01(472-477).
IEEE DOI 0210
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Chapter on Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following continues in
Driver Assistance Systems and Techniques .