Dynamically Expanding Capacity of Autonomous Driving with Near-Miss Focused Training Framework-Reference-Cited by-同舟云学术

Dynamically Expanding Capacity of Autonomous Driving with Near-Miss Focused Training Framework

Published:2024-06-13 Issue: Volume:22 Page:616-626
ISSN:
Container-title:International Conference on Transportation and Development 2024
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Author:

Yang Ziyuan¹¹²³,Li Zhaoyang¹¹²³,Hu Jianming¹¹²³,Zhang Yi¹¹²³

Affiliation:

1. Dept. of Automation, Tsinghua Univ.

2. Associate Professor, Dept. of Automation, Tsinghua Univ.

3. Professor, Dept. of Automation, Tsinghua Univ.

Publisher

American Society of Civil Engineers

Link

https://ascelibrary.org/doi/pdf/10.1061/9780784485514.054

Reference15 articles.

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2. Ding, W., Xu, M., and Zhao, D. (2020, May). Cmts: A conditional multiple trajectory synthesizer for generating safety-critical driving scenarios. In 2020 IEEE International Conference on Robotics and Automation (ICRA) (pp. 4314–4321). IEEE.

3. A survey on safety-critical driving scenario generation—A methodological perspective;Ding W.;IEEE Transactions on Intelligent Transportation Systems,2023

4. Dosovitskiy, A., Ros, G., Codevilla, F., Lopez, A., and Koltun, V. (2017, October). CARLA: An open urban driving simulator. In Conference on robot learning (pp. 1–16). PMLR.

5. Testing scenario library generation for connected and automated vehicles, part I: Methodology;Feng S.;IEEE Transactions on Intelligent Transportation Systems,2020