Controllable probability-limited and learning-based human-like vehicle behavior and trajectory generation for autonomous driving testing in highway scenario

Author:

Wei ChengORCID,Hui FeiORCID,Khattak Asad J.ORCID,Zhang Yutan,Wang WenboORCID

Funder

Key Industry Innovation Chain of Shaanxi

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Cited by 6 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

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2. Dance of the ADS: Orchestrating Failures through Historically-Informed Scenario Fuzzing;Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis;2024-09-11

3. Toward Personalized Car-Following Behaviors From Driver Data Using Learned and Hybrid Control Strategies;2024 International Conference on System Science and Engineering (ICSSE);2024-06-26

4. Generalization of Autonomous Driving Simulation Scenarios with Monte Carlo Sampling;2023 8th International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS);2023-11-23

5. A Neural Network-Based Model with Conditional-Deactivation Structure for Autonomous Vehicle Motivation Prediction at Intersections;2023 International Conference on Power, Communication, Computing and Networking Technologies;2023-09-24

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