Decision-Making Technology for Autonomous Vehicles

Learning-Based Methods, Applications and Future Outlook

Conference Paper (2021)
Author(s)

Qi Liu (Beijing Institute of Technology)

Xueyuan Li (Beijing Institute of Technology)

Shihua Yuan (Beijing Institute of Technology)

Z. Li (Beijing Institute of Technology, TU Delft - Transport and Planning)

Transport and Planning
DOI related publication
https://doi.org/10.1109/ITSC48978.2021.9564580
More Info
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Publication Year
2021
Language
English
Transport and Planning
Pages (from-to)
30-37
ISBN (print)
978-1-7281-9143-0
ISBN (electronic)
978-1-7281-9142-3

Abstract

Autonomous vehicles have a great potential in the application of both civil and military fields, and have become the focus of research with the rapid development of science and economy. This article proposes a brief review on learning-based decision-making technology for autonomous vehicles since it is significant for safer and efficient performance of autonomous vehicles. Firstly, the basic outline of decision-making technology is provided. Secondly, related works about learning-based decision-making methods for autonomous vehicles are mainly reviewed with the comparison to classical decision-making methods. In addition, applications of decision-making methods in existing autonomous vehicles are summarized. Finally, promising research topics in the future study of decision-making technology for autonomous vehicles are prospected.

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