4.A Review of Research on Autonomous Obstacle Avoidance Algorithms for Intelligent Vehicle

Peng Lu, Haokang Wen
Tianjin University of Science and Technology, China
Pages 19–23
ABSTRACT
This paper systematically summarizes the current research status and development of obstacle avoidance algorithms. The characteristics of the unmanned vehicle obstacle avoidance algorithms are classified into traditional and intelligent algorithms. Based on the above classification, the representative research results in recent years are introduced, focusing on the advantages and disadvantages of various types of obstacle avoidance algorithms. The future development trend of the unmanned vehicle obstacle avoidance algorithm is also prospected in order to provide some ideas for the subsequent research.
Keywords: Avoiding obstacles, Unmanned vehicle control, Strategy algorithm

ARTICLE INFO
Article History
Received 22 November 2021
Accepted 02 May 2022

J-STAGE3104

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