UAV path planning based on improved A * and artificial potential field algorithm-Reference-Cited by-同舟云学术

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UAV path planning based on improved A * and artificial potential field algorithm

Published:2024-05-25 Issue: Volume:45 Page:5471-5476
ISSN:
Container-title:2024 36th Chinese Control and Decision Conference (CCDC)
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Author:

Guo Luji¹,Zhao Chenbo¹,Li Jiacheng¹,Yan Qichen²,Li Wen¹,Chen Pengyun¹

Affiliation:

1. North University of China,School of Aerospace Engineering,Taiyuan,China

2. North University of China,School of Mechanical and Electrical Engineering,Taiyuan,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10587298/10587321/10587400.pdf?arnumber=10587400

Reference28 articles.

1. Research and Implementation of Multi robot Formation Control Algorithm [D];HUANG,2011

2. Improved A * algorithm and artificial potential field method for path planning [J/OL];YU;Journal of System Simulation,2023

3. Obstacle avoidance path planning for unmanned ships using dynamic artificial potential field method [J];LUI;Ship Science and Technology,2023

4. Robot path planning based on improved ant colony algorithm using state transition rules [J];WANG;Combination machine tools and automated machining technology,2023

5. Research on Full Coverage Path Planning for Mobile Robots Based on Genetic Algorithm [J];CHEN;Journal of Minjiang University,2023

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