Building Critical Testing Scenarios for Autonomous Driving from Real Accidents-Reference-Cited by-同舟云学术

Building Critical Testing Scenarios for Autonomous Driving from Real Accidents

Published:2023-07-12 Issue: Volume: Page:
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Container-title:Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis
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Author:

Zhang Xudong¹,Cai Yan¹

Affiliation:

1. Institute of Software at Chinese Academy of Sciences, China / University of Chinese Academy of Sciences, China

Funder

CAS Project for Young Scientists in Basic Research

National Natural Science Foundation of China (NSFC)

Key Research Program of Frontier Sciences, CAS

Youth Innovation Promotion Association of the Chinese Academy of Sciences (YICAS)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3597926.3598070

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3. Testing vision-based control systems using learnable evolutionary algorithms

4. M. Bertoncello and D. Wee. 2014. Ten ways autonomous driving could redefine the automotive world. https://www.mckinsey.com/industries/automotive-and-assembly/our-insights/ten-ways-autonomous-driving-could-redefine-the-automotive-world M. Bertoncello and D. Wee. 2014. Ten ways autonomous driving could redefine the automotive world. https://www.mckinsey.com/industries/automotive-and-assembly/our-insights/ten-ways-autonomous-driving-could-redefine-the-automotive-world

5. Simple online and realtime tracking

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