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],
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2108
Cognitive vision, Deep semantics,
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BibRef
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IEEE DOI
2109
Testing, Roads, Trajectory, Data mining, Measurement, Vehicle dynamics,
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IEEE DOI
2109
Atmospheric modeling, Protocols, Safety, Analytical models,
Capacity planning, Markov processes, Aircraft,
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BibRef
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On Russian Farms, the Robotic Revolution Has Begun: Hundreds of
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IEEE DOI
2109
Satellites, Receivers, Agricultural machinery, Rocks,
Robot sensing systems, Reliability, Sun
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IEEE DOI
2110
Testing, Intelligent vehicles, Picture archiving and communication systems,
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IEEE DOI
2112
Ethics, Safety, Autonomous vehicles
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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
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Yu, T.F.[Teng-Fei],
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Hammarberg, T.[Toni],
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Sensors and AI Techniques for Situational Awareness in Autonomous
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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
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Mozaffari, S.[Sajjad],
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Deep Learning-Based Vehicle Behavior Prediction for Autonomous
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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
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Liu, S.S.[Shao-Shan],
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IEEE DOI
2201
Planning, Cameras, Location awareness,
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IEEE DOI
2201
Airplanes, Atmospheric modeling, Pallets, Drones
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Jin, J.[Jiongchao],
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RaidaR: A Rich Annotated Image Dataset of Rainy Street Scenes,
AVVision21(2951-2961)
IEEE DOI
2112
Image segmentation, Rain, Annotations, Roads,
Semantics
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Xu, Q.[Qi],
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AVVision21(2962-2971)
IEEE DOI
2112
Training, Adaptation models, Image segmentation,
Computational modeling, Semantics, Training data, Entropy
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Kendall, A.[Alex],
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Video Class Agnostic Segmentation Benchmark for Autonomous Driving,
WAD21(2819-2828)
IEEE DOI
2109
Training, Tracking, Motion segmentation, Semantics,
Video sequences, Benchmark testing
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Atha, D.[Deegan],
Leopold, H.A.[Henry A.],
Gildner, M.[Matthew],
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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
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Springer DOI
2108
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DriveGuard: Robustification of Automated Driving Systems with Deep
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WACVW21(107-116) Autonomous Vehicle Vision
IEEE DOI
2105
Image segmentation, Computational modeling,
Semantics, Computer architecture, Cameras
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Reliability of GAN Generated Data to Train and Validate Perception
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WACVW21(171-180) Autonomous Vehicle Vision
IEEE DOI
2105
Training, Training data, Object detection, Tools,
Generative adversarial networks, Data models
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ICPR21(9740-9747)
IEEE DOI
2105
Simulators to generat navagiation data.
Deep learning, Visualization, Adaptation models, Actuators,
Navigation, Virtual environments, Reinforcement learning
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2103
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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,
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Wong, K.[Kelvin],
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2011
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Nageshrao, S.,
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Generating Socially Acceptable Perturbations for Efficient Evaluation
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SAIAD20(1341-1347)
IEEE DOI
2008
Perturbation methods, Learning (artificial intelligence),
Training, Machine learning, Games, Mathematical model, Autonomous vehicles
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Caesar, H.,
Bankiti, V.,
Lang, A.H.,
Vora, S.,
Liong, V.E.,
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Pan, Y.,
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Beijbom, O.,
nuScenes: A Multimodal Dataset for Autonomous Driving,
CVPR20(11618-11628)
IEEE DOI
2008
Sensors, Laser radar, Cameras,
Radar tracking, Autonomous vehicles
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
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Rashed, H.[Hazem],
Mohamed, E.[Eslam],
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Generalized Object Detection on Fisheye Cameras for Autonomous
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WACV21(2271-2279)
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Measurement, Adaptation models, Image segmentation,
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Yogamani, S.,
Hughes, C.,
Horgan, J.,
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Chennupati, S.,
Uricar, M.,
Milz, S.,
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Amende, K.,
Witt, C.,
Rashed, H.,
Nayak, S.,
Mansoor, S.,
Varley, P.,
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Dataset, Autonomous Driving. automotive electronics, cameras,
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AutoNUE19(4302-4309)
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2004
learning (artificial intelligence), sensor fusion,
traffic engineering computing, open-source framework,
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Yang, G.R.[Guo-Run],
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IEEE DOI
2002
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IDD: A Dataset for Exploring Problems of Autonomous Navigation in
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WACV19(1743-1751)
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image segmentation, learning (artificial intelligence),
mobile robots, path planning, road traffic, robot vision,
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Loquercio, A.[Antonio],
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Learning High-Speed Flight in the Wild,
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Are we ready for autonomous driving? The KITTI vision benchmark suite,
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Challenges for Autonomous Mobile Robots,
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Modelling the Robotised Multiterminal Port System: RMT-PS,
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Analysis of the cargo handling system.
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From cross-country autonomous navigation to intelligent deep space
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Chapter on Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following continues in
Driver Assistance Systems and Techniques .