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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 11
3211-3217

Review of research on path planning methods for autonomous vehicles based on reinforcement learning

Xu Hongxin1
Wu Zhizhou1,2
Liang Yunyi3
1. College of Mechanical Engineering, Xinjiang University, Urumqi 830017, China
2. College of Transportation Engineering, Tongji University, Shanghai 201804, China
3. School of Engineering & Design, Technical University of Munich, Munich 999035, Germany
DOI: 10.19734/j.issn.1001-3695.2023.03.0131

Abstract

As a key technology of autonomous driving, path planning has broad application prospects and scientific research value. This paper explored ways to solve the path planning problem for autonomous vehicles, focusing on reinforcement lear-ning-based path planning methods. On the basis of expounding the path planning technology based on conventional method and reinforcement learning method, this paper focused on summarizing the algorithm based on reinforcement learning and deep reinforcement learning method to solve the path planning problem of autonomous vehicles, classified the algorithm according to value-based and policy-based methods, analyzed the characteristics, benefits and drawbacks, and improvement measures of each type of algorithms. Finally, this paper looked forward to the future development direction of path planning technology based on reinforcement learning.

Foundation Support

国家自然科学基金资助项目(52172330,52002281)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.03.0131
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 11
Section: Survey
Pages: 3211-3217
Serial Number: 1001-3695(2023)11-002-3211-07

Publish History

[2023-06-07] Accepted Paper
[2023-11-05] Printed Article

Cite This Article

许宏鑫, 吴志周, 梁韵逸. 基于强化学习的自动驾驶汽车路径规划方法研究综述 [J]. 计算机应用研究, 2023, 40 (11): 3211-3217. (Xu Hongxin, Wu Zhizhou, Liang Yunyi. Review of research on path planning methods for autonomous vehicles based on reinforcement learning [J]. Application Research of Computers, 2023, 40 (11): 3211-3217. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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