Safe Reinforcement Learning of Lane Change Decision Making with Risk-Fused Constraint-Reference-Cited by-同舟云学术

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Safe Reinforcement Learning of Lane Change Decision Making with Risk-Fused Constraint

Published:2023-09-24 Issue: Volume: Page:1313-1319
ISSN:
Container-title:2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)
language:
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Author:

Li Zhuoren¹,Xiong Lu¹,Leng Bo¹,Xu Puhang¹,Fu Zhiqing¹

Affiliation:

1. School of Automotive Studies, Tongji University,Shanghai,China

Funder

National Natural Science Foundation of China

National Key R&D Program of China

Science and Technology Commission of Shanghai

Fundamental Research Funds for the Central Universities

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10420842/10420843/10422331.pdf?arnumber=10422331

Reference31 articles.

1. A Unified Trajectory Planning and Tracking Control Framework for Autonomous Overtaking Based on Hierarchical MPC

2. A Novel Local Motion Planning Framework for Autonomous Vehicles Based on Resistance Network and Model Predictive Control

3. Human-Like Decision Making for Autonomous Driving: A Noncooperative Game Theoretic Approach

4. A Review of Motion Planning for Highway Autonomous Driving

5. If, When, and How to Perform Lane Change Maneuvers on Highways

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