UAV Path Planning for Complete Structural Inspection using Mixed Viewpoint Generation

Ho Wang Tong, Boyang Li, Hailong Huang, Chih-yung Wen

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

7 Citations (Scopus)

Abstract

A sensor-equipped Unmanned Aerial Vehicle (UAV) can be used to gather surface information of a structure, performing an autonomous inspection. It can significantly improve the efficiency of the visual inspection tasks and reduce the operating cost and the human risks involved in the tasks. A complete inspection coverage path generating method comprising two sets of viewpoints is presented in this research. The first set of viewpoints, revolving viewpoints, is generated based on the geometry of the inspection target and revolving around the target. The second set of viewpoints, gap-filling viewpoints, is generated to compensate for the insufficiency of the revolving viewpoints, filling all the unseen surface patches and guaranteeing full coverage. The system's scalability was proven by the planning outcomes for two different structures on different scales, which met both requirements of close-up inspection and photogrammetry.
Original languageEnglish
Title of host publicationUAV Path Planning for Complete Structural Inspection using Mixed Viewpoint Generation
Place of PublicationSingapore
PublisherIEEE Press
Pages727-732
ISBN (Electronic)978-1-6654-7687-4, 978-1-6654-7685-0
ISBN (Print)978-1-6654-7688-1
DOIs
Publication statusPublished - 11 Dec 2022
Event2022 17th International Conference on Control, Automation, Robotics and Vision (ICARCV) - , Singapore
Duration: 11 Dec 202213 Dec 2022
https://www.icarcv.sg/

Conference

Conference2022 17th International Conference on Control, Automation, Robotics and Vision (ICARCV)
Country/TerritorySingapore
Period11/12/2213/12/22
Internet address

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