Research and Analysis of Obstacle Avoidance Path Planning for Autonomous Vehicles

Abstract

Obstacle avoidance path planning is a key technology for autonomous vehicles in identifying obstacles and avoiding obstacles, which is of great significance to the development of autonomous driving technology. This article gives an overview of traditional algorithms and intelligent algorithms related to obstacle avoidance path planning technology for autonomous vehicles, analyzes, compares and summarizes the advantages and disadvantages of each algorithm, and introduces their combined application. Comprehensively considering the advantages and disadvantages of using a single algorithm to plan obstacle avoidance paths in practical applications, it is found that a single algorithm shows drawbacks in a dynamic environment, such as poor computing power. Therefore, it is concluded that the use of multiple algorithms can make up for the shortcomings of a single algorithm, which has many advantages and will be focus of automatic obstacle avoidance research in the future.