Motion Planning for Fixed-Wing UAV Using Modified Dubins-RRT* Algorithm

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Motion planning is a pivotal area of research for intelligent mobile robots, including unmanned aerial vehicles (UAVs). This paper focuses on the motion planning problem for fixed-wing UAVs and proposes a modified Dubins-Rapidly-Exploring Random Tree*(MD-RRT*) algorithm. The algorithm refines the sampling function by eliminating random angle sampling. It also enlarges the safety radius to reduce the computational load of collision detection. Then, a proof for the reasonable boundary value of the enlarged safety radius is provided. Additionally, it outlines the applicability conditions of the proposed algorithm compared to the original Dubins-RRT* algorithm. Through simulations, it demonstrates that the proposed algorithm enhances the overall computational efficiency of the algorithm at the expense of certain sampling boundaries and achieves shorter average paths.

Original languageEnglish
Title of host publicationAdvances in Guidance, Navigation and Control - Proceedings of 2024 International Conference on Guidance, Navigation and Control Volume 11
EditorsLiang Yan, Haibin Duan, Yimin Deng
PublisherSpringer Science and Business Media Deutschland GmbH
Pages128-138
Number of pages11
ISBN (Print)9789819622399
DOIs
Publication statusPublished - 2025
EventInternational Conference on Guidance, Navigation and Control, ICGNC 2024 - Changsha, China
Duration: 9 Aug 202411 Aug 2024

Publication series

NameLecture Notes in Electrical Engineering
Volume1347 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

ConferenceInternational Conference on Guidance, Navigation and Control, ICGNC 2024
Country/TerritoryChina
CityChangsha
Period9/08/2411/08/24

Keywords

  • Dubins-RRT*
  • Motion planning
  • fixed-wing UAV

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