A Dynamic Collaborative Planning Method for Multi-vehicles in the Autonomous Driving Platform of the DeepRacer-Reference-Cited by-同舟云学术

A Dynamic Collaborative Planning Method for Multi-vehicles in the Autonomous Driving Platform of the DeepRacer

Author:

Du Haikuo¹,Zhu Moyan²,Zhu Wenjie²,Liu Yanbo³,Zhao Anbei⁴,Xu Wenchao⁵,Sun Weiqi⁶,Du Chunrun⁷

Affiliation:

1. Shanghai Jiaotong Univeristy,Department of Automation of SEIEE,Shanghai,200240

2. Shanghai Jiaotong Univeristy,Department of Electrical & Automation of SEIEE,Shanghai,200240

3. Teaching development and Student Innovation Center of SEIEE, Shanghai Jiao Tong University,Shanghai,200240

4. AWS Solutions Architect Sector, Amazon Web Service Inc,Beijing,100016

5. East China Normal University,Shanghai Key Laboratory of Multidimensional Information Processing,Shanghai,200240

6. Xin Dong Interactive Entertainment Company Ltd,Shanghai,200070

7. Summer Son Smart Technology Company Ltd,Shanghai,200240

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

Reference15 articles.

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3. Poster: Unraveling Reward Functions for Head-to-Head Autonomous Racing in AWS DeepRacer;Proceedings of the Twenty-fourth International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing;2023-10-16