The Improved A* Algorithm for Quadrotor UAVs under Forest Obstacle Avoidance Path Planning

The Improved A* Algorithm for Quadrotor UAVs under Forest Obstacle Avoidance Path Planning

In order to improve the obstacle avoidance and endurance capability of quadrotor UAVs performing tasks such as forest inspection and rescue search, this paper proposes improvements to address the problems of too many traversed nodes, too many redundant corners, too-large turning angles and unsmooth...

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Bibliographic Details
Main Authors: Jiale Li, Feng Kang, Chongchong Chen, Siyuan Tong, Yalan Jia, Chenxi Zhang, Yaxiong Wang
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Applied Sciences
Subjects:
UAV
improved A* algorithm
path planning
remove redundant turning points
path smoothing
Online Access:https://www.mdpi.com/2076-3417/13/7/4290

Internet

https://www.mdpi.com/2076-3417/13/7/4290

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