Research on Risk Avoidance Path Planning for Unmanned Vehicle Based on Genetic Algorithm and Bezier Curve

Research on Risk Avoidance Path Planning for Unmanned Vehicle Based on Genetic Algorithm and Bezier Curve

In the process of autonomous driving, the identification and avoidance of risk points is of great significance for the safe and efficient navigation of unmanned vehicles. To solve this problem, a new strategy combining a Bezier curve and the genetic algorithm is proposed in this paper. Firstly, in o...

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Bibliographic Details
Main Authors: Gaoyang Xie, Liqing Fang, Xujun Su, Deqing Guo, Ziyuan Qi, Yanan Li, Jinli Che
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Drones
Subjects:
unmanned vehicle
path planning
Bezier curve
artificial potential field
genetic algorithm
Online Access:https://www.mdpi.com/2504-446X/9/2/126
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