ROAIJul 2, 2021

Decision-Making Technology for Autonomous Vehicles Learning-Based Methods, Applications and Future Outlook

arXiv:2107.01110v186 citations
Originality Synthesis-oriented
AI Analysis

It addresses the need for safer and more efficient autonomous vehicles, but is incremental as it is a review article.

This paper provides a review of learning-based decision-making methods for autonomous vehicles, comparing them with classical approaches and summarizing their applications.

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.

Foundations

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