HVUE Planner: 3D UAV Path Planner Using Hierarchical Visibility Graph in Unknown Environments

  • Jiaxue Pang
  • , Liming Chen
  • , Yijie Jia
  • , Weihuang Chen
  • , Xuchong Zhang
  • , Hongbin Sun

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

Abstract

In recent years, research on UAV path planning in known environments has matured. However, the demand for planning techniques in unknown environments is increasing in practical engineering applications, where numerous planning needs arise in unknown environments. In such scenarios, the related technologies remain challenging. This paper introduces an efficient 3D UAV Path Planner for Unknown Environments that utilizes a single-layer visibility graph to efficiently handle not only unknown but also partially known environments. It supplements local obstacle handling by using 2D projection maps, aiming to address the high map update storage and computational complexity issues in traditional methods. Extensive experimental results have been tested in a moderately sized virtual campus simulation environment and show that our method is highly efficient with less computational load and map storage compared to state-of-the-art planning methods.

Original languageEnglish
Title of host publicationIntelligent Robotics and Applications - 17th International Conference, ICIRA 2024, Proceedings
EditorsXuguang Lan, Xuesong Mei, Caigui Jiang, Fei Zhao, Zhiqiang Tian
PublisherSpringer Science and Business Media Deutschland GmbH
Pages107-121
Number of pages15
ISBN (Print)9789819607853
DOIs
StatePublished - 2025
Event17th International Conference on Intelligent Robotics and Applications, ICIRA 2024 - Xi'an, China
Duration: 31 Jul 20242 Aug 2024

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume15210 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference17th International Conference on Intelligent Robotics and Applications, ICIRA 2024
Country/TerritoryChina
CityXi'an
Period31/07/242/08/24

Keywords

  • Aerial Systems
  • Path Planning
  • Unknow Enviroment-based Planning
  • Visibility Graph

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