15.3.1.2 Autonomous Vehicle Safety, Evaluation, Analysis

Chapter Contents (Back)
Autonomous Vehicles. Autonomous Vehicle, Safety. Safety.

Ozguner, U., Stiller, C., Redmill, K.A.,
Systems for Safety and Autonomous Behavior in Cars: The DARPA Grand Challenge Experience,
PIEEE(95), No. 2, February 2007, pp. 397-412.
IEEE DOI 0702
BibRef

Hanna, M.J., Kimmel, S.C.,
Current US Federal Policy Framework for Self-Driving Vehicles: Opportunities and Challenges,
Computer(50), No. 12, December 2017, pp. 32-40.
IEEE DOI 1801
Artificial intelligence, Autonomous automobiles, Computer security, Data privacy, Research and development, Safety, self-driving cars 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

Jiang, Y., Liu, H., Song, H., Kong, H., Wang, R., Guan, Y., Sha, L.,
Safety-Assured Model-Driven Design of the Multifunction Vehicle Bus Controller,
ITS(19), No. 10, October 2018, pp. 3320-3333.
IEEE DOI 1810
Safety, Standards, Unified modeling language, Automata, Tools, Protocols, Data models, Multifunction vehicle bus, IEC-61375 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

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

Gerstmair, M., Melzer, A., Onic, A., Huemer, M.,
On the Safe Road Toward Autonomous Driving: Phase noise monitoring in radar sensors for functional safety compliance,
SPMag(36), No. 5, September 2019, pp. 60-70.
IEEE DOI 1909
Radar, Radar antennas, Antenna arrays, Sensors, Estimation, Radiation safety, Radiation monitoring BibRef

Yoo, J., Langari, R.,
A Predictive Perception Model and Control Strategy for Collision-Free Autonomous Driving,
ITS(20), No. 11, November 2019, pp. 4078-4091.
IEEE DOI 1911
Autonomous vehicles, Merging, Safety, Trajectory, Predictive models, Vehicle dynamics, Autonomous vehicles, naturalistic driving, model predictive control 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

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

Plebe, A., Lio, M.D.[M. Da], Bortoluzzi, D.,
On Reliable Neural Network Sensorimotor Control in Autonomous Vehicles,
ITS(21), No. 2, February 2020, pp. 711-722.
IEEE DOI 2002
Neural networks, Autonomous vehicles, Reliability, Computer architecture, Safety, Automobiles, ISO Standards, subsumption architecture BibRef

Berk, M., Schubert, O., Kroll, H.M., Buschardt, B., Straub, D.,
Exploiting Redundancy for Reliability Analysis of Sensor Perception in Automated Driving Vehicles,
ITS(21), No. 12, December 2020, pp. 5073-5085.
IEEE DOI 2012
Redundancy, Safety, Data models, Estimation, Reliability theory, Predictive models, Sensor systems, reliability engineering, sensor system reliability BibRef

Bakdi, A.[Azzeddine], Glad, I.K.[Ingrid Kristine], Vanem, E.[Erik],
Testbed Scenario Design Exploiting Traffic Big Data for Autonomous Ship Trials Under Multiple Conflicts With Collision/Grounding Risks and Spatio-Temporal Dependencies,
ITS(22), No. 12, December 2021, pp. 7914-7930.
IEEE DOI 2112
Marine vehicles, Navigation, Safety, Complexity theory, Testing, Seaports, Radar tracking, AIS, collision risk prediction, COLREGs, vessel safety domain BibRef

Basantis, A.[Alexis], Miller, M.[Marty], Doerzaph, Z.[Zachary], Neurauter, M.L.[M. Lucas],
Assessing Alternative Approaches for Conveying Automated Vehicle 'Intentions',
HMS(51), No. 6, December 2021, pp. 622-631.
IEEE DOI 2112
Safety, Human factors, Autonomous vehicles, Human computer interaction, Human-vehicle systems, trust BibRef

Wu, H.H.[Hui-Hui], Lyu, D.[Deyun], Zhang, Y.[Yanan], Hou, G.[Gang], Watanabe, M.[Masahiko], Wang, J.[Jie], Kong, W.Q.[Wei-Qiang],
A verification framework for behavioral safety of self-driving cars,
IET-ITS(16), No. 5, 2022, pp. 630-647.
DOI Link 2204
BibRef

Guo, L.X.[Long-Xiang], Jia, Y.Y.[Yun-Yi],
Anticipative and Predictive Control of Automated Vehicles in Communication-Constrained Connected Mixed Traffic,
ITS(23), No. 7, July 2022, pp. 7206-7219.
IEEE DOI 2207
Predictive control, Delays, Predictive models, Safety, Brakes, Acceleration, Vehicles, Human driving behaviors, connected mixed traffic BibRef

Cao, Z., Yang, D., Xu, S., Peng, H., Li, B., Feng, S., Zhao, D.,
Highway Exiting Planner for Automated Vehicles Using Reinforcement Learning,
ITS(22), No. 2, February 2021, pp. 990-1000.
IEEE DOI 2102
Road transportation, Safety, Reinforcement learning, Vehicle dynamics, Vehicles, Dynamics, Trajectory, Autonomous vehicle, reinforcement learning BibRef

Muhammad, K.[Khan], Ullah, A.[Amin], Lloret, J.[Jaime], del Ser, J.[Javier], de Albuquerque, V.H.C.[Victor Hugo C.],
Deep Learning for Safe Autonomous Driving: Current Challenges and Future Directions,
ITS(22), No. 7, July 2021, pp. 4316-4336.
IEEE DOI 2107
Roads, Task analysis, Safety, Automobiles, Accidents, Vehicles, Lane detection, Autonomous driving (AD), artificial intelligence, intelligent sensors 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

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.Q.[Xi-Qin], Zhang, X.[Xin], Wang, F.[Fang], Li, Q.Q.[Qi-Qi], 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

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

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

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

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

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

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

Sinha, A.[Amolika], Bassil, D.[Daniel], Chand, S.[Sai], Virdi, N.[Navreet], Dixit, V.[Vinayak],
Impact of Connected Automated Buses in a Mixed Fleet Scenario With Connected Automated Cars,
ITS(23), No. 8, August 2022, pp. 11982-11993.
IEEE DOI 2208
Safety, Automation, Costs, Delays, Calibration, Roads, Public transportation, Automated connected vehicles, automation in public transport BibRef

Zhang, K.[Kunai], Liu, Y.H.[Ya-Hui], Zhang, W.Q.[Wei-Qiang], Liu, S.S.[Shao-Shan],
p-Learner: A Lifelong Roadside Learning Framework for Infrastructure Augmented Autonomous Driving,
Computer(55), No. 6, June 2022, pp. 30-39.
IEEE DOI 2206
Road traffic, Vehicle safety, Autonomous vehicles BibRef

Wang, C.[Cheng], Storms, K.[Kai], Winner, H.[Hermann],
Online Safety Assessment of Automated Vehicles Using Silent Testing,
ITS(23), No. 8, August 2022, pp. 13069-13083.
IEEE DOI 2208
Safety, Testing, Vehicles, Sensors, Measurement, Automation, Accidents, Automated vehicle, online verification, safety assessment, vehicle safety BibRef

Mo, S.J.[Shuo-Jie], Pei, X.F.[Xiao-Fei], Wu, C.X.[Chao-Xian],
Safe Reinforcement Learning for Autonomous Vehicle Using Monte Carlo Tree Search,
ITS(23), No. 7, July 2022, pp. 6766-6773.
IEEE DOI 2207
Reinforcement learning, Autonomous vehicles, Monte Carlo methods, Long short term memory, Decision making, Search problems, Safety, decision-making BibRef

Gangopadhyay, B.[Briti], Soora, H.[Harshit], Dasgupta, P.[Pallab],
Hierarchical Program-Triggered Reinforcement Learning Agents for Automated Driving,
ITS(23), No. 8, August 2022, pp. 10902-10911.
IEEE DOI 2208
Task analysis, Safety, Reinforcement learning, Deep learning, Training, Planning, Autonomous vehicles, Autonomous vehicles, formal verification BibRef

Sun, J.[Jian], Zhou, H.J.[Hua-Jun], Xi, H.[Haochen], Zhang, H.[He], Tian, Y.[Ye],
Adaptive Design of Experiments for Safety Evaluation of Automated Vehicles,
ITS(23), No. 9, September 2022, pp. 14497-14508.
IEEE DOI 2209
Testing, Adaptation models, Safety, Predictive models, Roads, Uncertainty, Sun, Autonomous vehicles, design of experiments, vehicle crash testing BibRef

Milardo, S.[Sebastiano], Rathore, P.[Punit], Amorim, M.[Marco], Fugiglando, U.[Umberto], Santi, P.[Paolo], Ratti, C.[Carlo],
Understanding Drivers' Stress and Interactions With Vehicle Systems Through Naturalistic Data Analysis,
ITS(23), No. 9, September 2022, pp. 14570-14581.
IEEE DOI 2209
Vehicles, Stress, Biomedical monitoring, Safety, Biometrics (access control), Telemetry, Roads, Vehicle driving, emotion recognition BibRef

Sun, J.[Jian], Zhang, H.[He], Zhou, H.J.[Hua-Jun], Yu, R.J.[Rong-Jie], Tian, Y.[Ye],
Scenario-Based Test Automation for Highly Automated Vehicles: A Review and Paving the Way for Systematic Safety Assurance,
ITS(23), No. 9, September 2022, pp. 14088-14103.
IEEE DOI 2209
Testing, Automation, Safety, Systematics, Roads, Accidents, Software, Highly automated vehicles, test automation, safety assurance, traffic scenarios BibRef

Li, X.R.[Xin-Ran], Lin, K.Y.[Kuo-Yi], Meng, M.[Min], Li, X.X.[Xiu-Xian], Li, L.[Li], Hong, Y.G.[Yi-Guang], Chen, J.[Jie],
A Survey of ADAS Perceptions With Development in China,
ITS(23), No. 9, September 2022, pp. 14188-14203.
IEEE DOI 2209
Laser radar, Hardware, Intelligent sensors, Safety, Sensor phenomena and characterization, Standards, Sensor systems, automated driving regulations in China BibRef

Li, W.Y.[Wen-Yu], Li, Q.K.[Qing-Kun], Li, S.B.E.[Sheng-Bo Eben], Li, R.J.[Ren-Jie], Ren, Y.G.[Yan-Gang], Wang, W.J.[Wen-Jun],
Indirect Shared Control Through Non-Zero Sum Differential Game for Cooperative Automated Driving,
ITS(23), No. 9, September 2022, pp. 15980-15992.
IEEE DOI 2209
Vehicles, Vehicle dynamics, Wheels, Differential games, Nonlinear dynamical systems, Games, Safety, shared control BibRef

Chia, W.M.D.[Wei Ming Dan], Keoh, S.L.[Sye Loong], Goh, C.[Cindy], Johnson, C.[Christopher],
Risk Assessment Methodologies for Autonomous Driving: A Survey,
ITS(23), No. 10, October 2022, pp. 16923-16939.
IEEE DOI 2210
Safety, Automation, Standards, Vehicles, Autonomous vehicles, ISO Standards, Automotive engineering, Autonomous vehicle, vehicle safety management BibRef

Zhang, E.[Ethan], Masoud, N.[Neda], Bandegi, M.[Mahdi], Malhan, R.K.[Rajesh K.],
Predicting Risky Driving in a Connected Vehicle Environment,
ITS(23), No. 10, October 2022, pp. 17177-17188.
IEEE DOI 2210
Trajectory, Predictive models, Labeling, Safety, Connected vehicles, Time series analysis, Manuals, Connected vehicles, intersection safety BibRef

Shi, X.P.[Xiu-Peng], Wong, Y.D.[Yiik Diew], Chai, C.[Chen], Li, M.Z.F.[Michael Zhi-Feng], Chen, T.Y.[Tian-Yi], Zeng, Z.[Zeng],
Automatic Clustering for Unsupervised Risk Diagnosis of Vehicle Driving for Smart Road,
ITS(23), No. 10, October 2022, pp. 17451-17465.
IEEE DOI 2210
Clustering algorithms, Feature extraction, Accidents, Roads, Safety, Anomaly detection, Risk management, Automatic clustering, risk indicator BibRef

Formosa, N.[Nicolette], Quddus, M.[Mohammed], Ison, S.[Stephen], Timmis, A.[Andrew],
A New Modeling Approach for Predicting Vehicle-Based Safety Threats,
ITS(23), No. 10, October 2022, pp. 18175-18185.
IEEE DOI 2210
Safety, Uncertainty, Sensors, Data models, Predictive models, Vehicles, Deep learning, Advanced driver assistant systems, deep learning, traffic conflicts BibRef

Wei, R.[Ran], McDonald, A.D.[Anthony D.], Garcia, A.[Alfredo], Alambeigi, H.[Hananeh],
Modeling Driver Responses to Automation Failures With Active Inference,
ITS(23), No. 10, October 2022, pp. 18064-18075.
IEEE DOI 2210
Vehicles, Visualization, Predictive models, Automation, Accidents, Probability distribution, Decision making, Active inference, trust BibRef

Yekkehkhany, A.[Ali], Nagi, R.[Rakesh],
Risk-Averse Equilibria for Vehicle Navigation in Stochastic Congestion Games,
ITS(23), No. 10, October 2022, pp. 18719-18735.
IEEE DOI 2210
Games, Delays, Navigation, Uncertainty, Stochastic processes, Reliability, Random variables, Stochastic congestion games, risk-averse equilibrium BibRef

Wang, X.W.[Xin-Wei], Alonso-Mora, J.[Javier], Wang, M.[Meng],
Probabilistic Risk Metric for Highway Driving Leveraging Multi-Modal Trajectory Predictions,
ITS(23), No. 10, October 2022, pp. 19399-19412.
IEEE DOI 2210
Trajectory, Predictive models, Measurement, Accidents, Safety, Uncertainty, Computational modeling, trajectory prediction BibRef

Liu, X.L.[Xu-Lei], Wang, Y.[Yafei], Jiang, K.[Kun], Zhou, Z.S.[Zhi-Song], Nam, K.[Kanghyun], Yin, C.L.[Cheng-Liang],
Interactive Trajectory Prediction Using a Driving Risk Map-Integrated Deep Learning Method for Surrounding Vehicles on Highways,
ITS(23), No. 10, October 2022, pp. 19076-19087.
IEEE DOI 2210
Trajectory, Uncertainty, Roads, Predictive models, Deep learning, Vehicles, Safety, Automated vehicles, trajectory prediction, deep learning BibRef

Brito, B.[Bruno], Agarwal, A.[Achin], Alonso-Mora, J.[Javier],
Learning Interaction-Aware Guidance for Trajectory Optimization in Dense Traffic Scenarios,
ITS(23), No. 10, October 2022, pp. 18808-18821.
IEEE DOI 2210
Planning, Autonomous vehicles, Safety, Merging, Predictive models, Navigation, Games, Deep reinforcement learning, dense traffic, trajectory optimization BibRef

de Gelder, E.[Erwin], Hof, J.[Jasper], Cator, E.[Eric], Paardekooper, J.P.[Jan-Pieter], den Camp, O.O.[Olaf Op], Ploeg, J.[Jeroen], de Schutter, B.[Bart],
Scenario Parameter Generation Method and Scenario Representativeness Metric for Scenario-Based Assessment of Automated Vehicles,
ITS(23), No. 10, October 2022, pp. 18794-18807.
IEEE DOI 2210
Measurement, Probability density function, Time series analysis, Safety, Estimation, Roads, Monte Carlo methods, Intelligent vehicles, automatic testing BibRef

Akai, N.[Naoki], Akagi, Y.[Yasuhiro], Hirayama, T.[Takatsugu], Morikawa, T.[Takayuki], Murase, H.[Hiroshi],
Detection of Localization Failures Using Markov Random Fields With Fully Connected Latent Variables for Safe LiDAR-Based Automated Driving,
ITS(23), No. 10, October 2022, pp. 17130-17142.
IEEE DOI 2210
Location awareness, Measurement uncertainty, Robot sensing systems, Detectors, Proposals, Particle measurements, autonomous driving BibRef


Hanselmann, N.[Niklas], Renz, K.[Katrin], Chitta, K.[Kashyap], Bhattacharyya, A.[Apratim], Geiger, A.[Andreas],
KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients,
ECCV22(XXXVIII:335-352).
Springer DOI 2211
BibRef

Jing, T.T.[Tao-Tao], Xia, H.F.[Hai-Feng], Tian, R.[Renran], Ding, H.R.[Hao-Ran], Luo, X.[Xiao], Domeyer, J.[Joshua], Sherony, R.[Rini], Ding, Z.M.[Zheng-Ming],
InAction: Interpretable Action Decision Making for Autonomous Driving,
ECCV22(XXXVIII:370-387).
Springer DOI 2211
BibRef

Hazard, C.[Christopher], Bhagat, A.[Akshay], Buddharaju, B.R.[Balarama Raju], Liu, Z.[Zhongtao], Shao, Y.M.[Yun-Ming], Lu, L.[Lu], Omari, S.[Sammy], Cui, H.G.[Heng-Gang],
Importance is in your attention: Agent importance prediction for autonomous driving,
Precognition22(2531-2534)
IEEE DOI 2210
Conferences, Predictive models, Trajectory, Pattern recognition, Task analysis, Autonomous vehicles BibRef

Chen, Y.Q.[Yi-Qiang], Liu, F.[Feng], Pei, K.[Ke],
Cross-modal Matching CNN for Autonomous Driving Sensor Data Monitoring,
AVVision21(3103-3112)
IEEE DOI 2112
Measurement, Laser radar, Fault detection, Data integrity, Safety, Quality assessment BibRef

Wang, J.K.[Jing-Kang], Pun, A.[Ava], Tu, J.[James], Manivasagam, S.[Sivabalan], Sadat, A.[Abbas], Casas, S.[Sergio], Ren, M.[Mengye], Urtasun, R.[Raquel],
AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles,
CVPR21(9904-9913)
IEEE DOI 2111
Training, Laser radar, Robustness, Safety, Trajectory, Planning BibRef

Singh, V.[Vasu], Hari, S.K.S.[Siva Kumar Sastry], Tsai, T.[Timothy], Pitale, M.[Mandar],
Simulation Driven Design and Test for Safety of AI Based Autonomous Vehicles,
SAIAD21(122-128)
IEEE DOI 2109
Location awareness, Navigation, Computational modeling, Real-time systems, Safety, Trajectory, Planning BibRef

Rabe, M.[Martin], Milz, S.[Stefan], Mäder, P.[Patrick],
Development Methodologies for Safety Critical Machine Learning Applications in the Automotive Domain: A Survey,
SAIAD21(129-141)
IEEE DOI 2109
Training, Systematics, Machine learning, Tools, Network architecture, Data models, Software 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

Fang, P., Zecong, W., Zhang, X.,
Vehicle automatic driving system based on embedded and machine learning,
CVIDL20(281-284)
IEEE DOI 2102
embedded systems, learning (artificial intelligence), road accidents, road safety, road traffic, road vehicles, machine learning BibRef

Deo, N., Meoli, N., Rangesh, A., Trivedi, M.M.,
On Control Transitions in Autonomous Driving: A Framework and Analysis for Characterizing Scene Complexity,
ADW19(2422-2426)
IEEE DOI 2004
driver information systems, mobile robots, optical radar, road safety, road vehicles, traffic engineering computing, Control Transitions BibRef

Chowdhuri, S., Pankaj, T., Zipser, K.,
MultiNet: Multi-Modal Multi-Task Learning for Autonomous Driving,
WACV19(1496-1504)
IEEE DOI 1904
automobiles, learning (artificial intelligence), neural nets, remotely operated vehicles, road safety, roads, Kernel BibRef

Benenson, R., Fraichard, T., Parent, M.,
Achievable safety of driverless ground vehicles,
ICARCV08(515-521).
IEEE DOI 1109
BibRef

Chapter on Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following continues in
Underwater Autonomous Vehicles .


Last update:Nov 28, 2022 at 16:32:47