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This paper introduces CRITICAL, a novel closed-loop framework for autonomous vehicle (AV) training and testing.
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2018
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2018
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2018
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R. Krajewski, J. Bock, L. Kloeker, and L. Eckstein, “The highd dataset: A drone dataset of naturalistic vehicle trajectories on german highways for validation of highly automated driving systems,” in 2018 21st International Conference on Intelligent Transportation Systems (ITSC) , 2018, pp. 2118–2125
2018
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2018
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Y. Feng, S. Pickering, E. Chappell, P. Iravani, and C. Brace, “Driving style analysis by classifying real-world data with support vector clustering,” in 2018 3rd IEEE International Conference on Intelligent Transportation Engineering (ICITE) , 2018, pp. 264–268
2018
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2019
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2019
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2019
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T. Ponn, M. Breitfuß, X. Yu, and F. Diermeyer, “Identification of challenging highway-scenarios for the safety validation of automated vehicles based on real driving data,” in 2020 Fifteenth International Conference on Ecological Vehicles and Renewable Energies (EVER) . IEEE, 2020, pp. 1–10
2020
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J. Fang, D. Zhou, F. Yan, T. Zhao, F. Zhang, Y. Ma, L. Wang, and R. Yang, “Augmented lidar simulator for autonomous driving,” IEEE Robotics and Automation Letters , vol. 5, no. 2, pp. 1931–1938, 2020
2020
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G. Li, Y. Li, S. Jha, T. Tsai, M. Sullivan, S. K. S. Hari, Z. Kalbarczyk, and R. Iyer, “Av-fuzzer: Finding safety violations in autonomous driving systems,” in 2020 IEEE 31st International Symposium on Software Reliability Engineering (ISSRE) , 2020, pp. 25–36
2020
Cited alongside, same era.
M. Klischat, E. I. Liu, F. Holtke, and M. Althoff, “Scenario factory: Creating safety-critical traffic scenarios for automated vehicles,” in 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC) , 2020, pp. 1–7
2020
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F. L. David and G. Emilia, “Trustworthy autonomous vehicles,” Joint Research Centre (Seville site), Tech. Rep., 2021
2021
Cited alongside, same era.
K. Hao, L. Liu, W. Cui, J. Zhang, S. Yan, Y. Pan, and Z. Yang, “Bridging data-driven and knowledge-driven approaches for safety-critical scenario generation in automated vehicle validation,” 2023
2023
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2023
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2023
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2023
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M. Abdelfattah, K. Yuan, Z. J. Wang, and R. Ward, “Towards universal physical attacks on cascaded camera-lidar 3d object detection models,” in 2021 IEEE International Conference on Image Processing (ICIP) . IEEE, 2021, pp. 3592–3596
2021
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B. Chen, X. Chen, Q. Wu, and L. Li, “Adversarial evaluation of autonomous vehicles in lane-change scenarios,” IEEE transactions on intelligent transportation systems , vol. 23, no. 8, pp. 10 333–10 342, 2021
2021
Cited alongside, same era.
B. Lester, R. Al-Rfou, and N. Constant, “The power of scale for parameter-efficient prompt tuning,” in Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing . Online and Punta Cana, Dominican Republic: Association for Computational Linguistics, Nov. 2021, pp. 3045–3059. [Online]. Available: https://aclanthology.org/2021.emnlp-main.243
2021
Cited alongside, same era.
2021
Cited alongside, same era.
J. Sun, H. Zhang, H. Zhou, R. Yu, and Y. Tian, “Scenario-based test automation for highly automated vehicles: A review and paving the way for systematic safety assurance,” IEEE transactions on intelligent transportation systems , vol. 23, no. 9, pp. 14 088–14 103, 2021
2021
Cited alongside, same era.
2021
Cited alongside, same era.
B. R. Kiran, I. Sobh, V. Talpaert, P. Mannion, A. A. A. Sallab, S. Yogamani, and P. Pérez, “Deep reinforcement learning for autonomous driving: A survey,” IEEE Transactions on Intelligent Transportation Systems , vol. 23, no. 6, pp. 4909–4926, 2022
2022
Cited alongside, same era.
A. Madaan, S. Zhou, U. Alon, Y. Yang, and G. Neubig, “Language models of code are few-shot commonsense learners,” 2022
2022
Cited alongside, same era.
T. Kojima, S. S. Gu, M. Reid, Y. Matsuo, and Y. Iwasawa, “Large language models are zero-shot reasoners,” 2023
2023
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2023
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L. Wen, D. Fu, X. Li, X. Cai, T. Ma, P. Cai, M. Dou, B. Shi, L. He, and Y. Qiao, “Dilu: A knowledge-driven approach to autonomous driving with large language models,” 2023
2023
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2023
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E. Nassif, H. Tian, E. Candela, Y. Feng, P. Angeloudis, and W. Y. Ochieng, “Safety standards for autonomous vehicles: Challenges and way forward,” in 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC) . IEEE, 2023, pp. 3004–3009
2023
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2023
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L. Vater, M. Sonntag, J. Hiller, P. Schaudt, and L. Eckstein, “A systematic approach towards the definition of the terms edge case and corner case for automated driving,” in 2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) . IEEE, 2023, pp. 1–6
2023
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M. Kwon, S. M. Xie, K. Bullard, and D. Sadigh, “Reward design with language models,” 2023
2023
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L. M. Leandro Parada, Eduardo Candela and P. Angeloudis, “Safe and efficient manoeuvring for emergency vehicles in autonomous traffic using multi-agent proximal policy optimisation,” Transportmetrica A: Transport Science , vol. 0, no. 0, pp. 1–29, 2023. [Online]. Available: https://doi.org/10.1080/23249935.2023.2246586
2023
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2023
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J. Cai, W. Deng, H. Guang, Y. Wang, J. Li, and J. Ding, “A survey on data-driven scenario generation for automated vehicle testing,” Machines , vol. 10, no. 11, 2022. [Online]. Available: https://www.mdpi.com/2075-1702/10/11/1101
2075
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