Collision Avoidance Testing for Autonomous Driving Systems on Complete Maps-Reference-Cited by-同舟云学术

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Collision Avoidance Testing for Autonomous Driving Systems on Complete Maps

Published:2021-07-11 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE Intelligent Vehicles Symposium (IV)
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Author:

Tang Yun,Zhou Yuan,Liu Yang,Sun Jun,Wang Gang

Funder

Singapore Ministry of Education (MOE)

Singapore National Research Foundation (NRF)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9575127/9575130/09575536.pdf?arnumber=9575536

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. ODD-based Query-time Scenario Mutation Framework for Autonomous Driving Scenario databases;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

2. Identifying and Explaining Safety-critical Scenarios for Autonomous Vehicles via Key Features;ACM Transactions on Software Engineering and Methodology;2024-04-18

3. TraModeAVTest: Modeling Scenario and Violation Testing for Autonomous Driving Systems Based on Traffic Regulations;Electronics;2024-03-25

4. Pedestrian Collision Avoidance in Autonomous Vehicles: A Review;Computers;2024-03-16

5. Towards Reliable AI: Adequacy Metrics for Ensuring the Quality of System-level Testing of Autonomous Vehicles;Proceedings of the IEEE/ACM 46th International Conference on Software Engineering;2024-02-06

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