Critical Concrete Scenario Generation Using Scenario-Based Falsification
Author:
Affiliation:
1. Australian Centre for Field Robotics (ACFR) at the University of Sydney (NSW, Australia)
Funder
Australian Centre for Field Robotics
University of Sydney
Australian Government
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9989529/9989561/09989690.pdf?arnumber=9989690
Reference29 articles.
1. Adaptive Stress Testing for Autonomous Vehicles
2. A Reinforcement Learning Benchmark for Autonomous Driving in Intersection Scenarios
3. On a formal model of safe and scalable self-driving cars;shalev-shwartz;CoRR,2017
4. Accelerated Evaluation of Automated Vehicles Safety in Lane-Change Scenarios Based on Importance Sampling Techniques
5. Requirements-Driven Test Generation for Autonomous Vehicles With Machine Learning Components
Cited by 1 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. Generating Edge Cases for Testing Autonomous Vehicles Using Real-World Data;Sensors;2023-12-25
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