Certifiable Evaluation for Autonomous Vehicle Perception Systems using Deep Importance Sampling (Deep IS)

Author:

Arief Mansur1,Cen Zhepeng1,Liu Zhenyuan2,Huang Zhiyuan3,Li Bo4,Lam Henry2,Zhao Ding1

Affiliation:

1. Carnegie Mellon University,Department of Mechanical Engineering,Pittsburgh,PA,USA,15213

2. Columbia University,Department of Industrial Engineering and Operations Research,New York,NY,USA,10027

3. Tongji University,Department of Management Science and Engineering,Shanghai,China

4. University of Illinois Urbana Champaign,Department of Computer Science,Urbana Champaign,IL,USA

Funder

National Science Foundation

Publisher

IEEE

Reference42 articles.

1. Survey on Scenario-Based Safety Assessment of Automated Vehicles

2. Adaptive Stress Testing for Autonomous Vehicles

3. Development of a safety assurance process for autonomous vehicles in japan;jacobo;Proceedings of ESV conference,0

4. Conducting the Mcity ABC Test: A Testing Method for Highly Automated Vehicles;peng;Mcity,2020

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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. Risk-Sensitive Ordinal Optimization;2023 Winter Simulation Conference (WSC);2023-12-10

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