Motion Control of Autonomous Vehicle with Domain-Centralized Electronic and Electrical Architecture based on Predictive Reinforcement Learning Control Method-Reference-Cited by-同舟云学术

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Motion Control of Autonomous Vehicle with Domain-Centralized Electronic and Electrical Architecture based on Predictive Reinforcement Learning Control Method

Published:2024-06-02 Issue: Volume:23 Page:1409-1416
ISSN:
Container-title:2024 IEEE Intelligent Vehicles Symposium (IV)
language:
Short-container-title:

Author:

Du Guodong¹,Zou Yuan²,Zhang Xudong²,Zhao Kaiyu²

Affiliation:

1. ETH Zurich,Institute of Dynamic System and Control,Zurich,Switzerland,8092

2. Beijing Institute of Technology,National Engineering Laboratory for Electric Vehicles, School of Mechanical Engineering, and Collaborative Innovation Center of Electric Vehicles in Beijing,Beijing,China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10587320/10588370/10588626.pdf?arnumber=10588626

Reference17 articles.

1. Deep Reinforcement Learning for Intelligent Transportation Systems: A Survey

2. Path Tracking and Handling Stability Control Strategy With Collision Avoidance for the Autonomous Vehicle Under Extreme Conditions

3. The Lateral Tracking Control for the Intelligent Vehicle Based on Adaptive PID Neural Network

4. A Review of some Pure-Pursuit based Path Tracking Techniques for Control of Autonomous Vehicle

5. Experimental Verification of a Drift Controller for Autonomous Vehicle Tracking: a Circular Trajectory Using LQR Method

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