A Survey on Safety-Critical Driving Scenario Generation—A Methodological Perspective

Author:

Ding Wenhao1ORCID,Xu Chejian2ORCID,Arief Mansur1ORCID,Lin Haohong1,Li Bo2,Zhao Ding1ORCID

Affiliation:

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

2. Computer Science Department, University of Illinois at Urbana--Champaign, Urbana, IL, USA

Funder

National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Reference216 articles.

1. AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles

2. Causal discovery and inference: concepts and recent methodological advances

3. Generating and Characterizing Scenarios for Safety Testing of Autonomous Vehicles

4. Structured adversarial attack: Towards general implementation and better interpretability;xu;arXiv 1808 01664,2018

5. Intelligent driving intelligence test for autonomous vehicles with naturalistic and adversarial environment;feng;Nature Commun,2021

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