Density gradient-RRT: An improved rapidly exploring random tree algorithm for UAV path planning-Reference-Cited by-同舟云学术

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Density gradient-RRT: An improved rapidly exploring random tree algorithm for UAV path planning

Published:2024-10 Issue: Volume:252 Page:124121
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Huang Tai^ORCID,Fan Kuangang^ORCID,Sun Wen^ORCID

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference23 articles.

1. A note on two problems in connexion with graphs;Dijkstra,2022

2. An improved RRT* algorithm for robot path planning based on path expansion heuristic sampling;Ding;Journal of Computer Science,2023

3. Informed RRT*: Optimal sampling-based path planning focused via direct sampling of an admissible ellipsoidal heuristic;Gammell,2014

4. FC-RRT*: An improved path planning algorithm for UAV in 3D complex environment;Guo;ISPRS International Journal of Geo-Information,2022

5. A formal basis for the heuristic determination of minimum cost paths;Hart;IEEE transactions on Systems Science and Cybernetics,1968

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An improve crested porcupine algorithm for UAV delivery path planning in challenging environments;Scientific Reports;2024-09-03

2. An Improve Crested Porcupine Algorithm for UAV Delivery Path Planning in Challenging Environments;2024-08-14

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