Region Coverage Path Planning of Multiple Disconnected Convex Polygons Based on Simulated Annealing Algorithm

Xuecong Chen, Jinchao Chen, Chenglie Du, Yongqiang Xu

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

12 Scopus citations

Abstract

Over the past decades, Unmanned Aerial Vehicles (UAVs) have been widely used in both industrial and military operations around the world. As part of mission planning, path planning will play a key role in improving the viability and mission capabilities of UAVs. However, the problem of multi-region coverage path planning is limited by many factors such as UAV's performance, endurance and target region. In this paper, an improved simulated annealing algorithm (ISA) has been proposed to solve the problem. The ISA method uses simulated annealing algorithm to determine the access order of regions, takes minimum-distance-first strategy to select the entry of region, and uses back-and-forth path (BFP) to cover the convex polygon region. The effectiveness of the proposed method is verified through simulation experiments with randomly generated targets.

Original languageEnglish
Title of host publication2021 IEEE 4th International Conference on Computer and Communication Engineering Technology, CCET 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages238-242
Number of pages5
ISBN (Electronic)9781665438902
DOIs
StatePublished - 13 Aug 2021
Event4th IEEE International Conference on Computer and Communication Engineering Technology, CCET 2021 - Virtual, Beijing, China
Duration: 13 Aug 202115 Aug 2021

Publication series

Name2021 IEEE 4th International Conference on Computer and Communication Engineering Technology, CCET 2021

Conference

Conference4th IEEE International Conference on Computer and Communication Engineering Technology, CCET 2021
Country/TerritoryChina
CityVirtual, Beijing
Period13/08/2115/08/21

Keywords

  • coverage path planning
  • simulation annealing algorithm
  • UAV

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