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Cooperative robotic path planning for comprehensive bridge inspection with LiDAR technology: navigating unknown structures

  • Ben Bartlett*
  • , Matheus Santos
  • , Marco Moreno
  • , Sagar Dalai
  • , Cillian Fahy
  • , Alexander Dow
  • , Hector Gonzalez
  • , Petar Trslic
  • , James Riordan
  • , Edin Omerdic
  • , Daniel Toal
  • , Gerard Dooly
  • *Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    25 Downloads (Pure)

    Abstract

    This paper presents a new automated workflow designed for 3D reconstruction of previously unsurveyed bridges, developed within the EU-funded RAPID project. A cooperative approach, where Unmanned Aerial Vehicles (UAVs) and Un-manned Surface Vehicles (USVs) collaborate is employed to en-sure the safe execution of inspections in unknown environments. In this proposed approach, a survey is first performed using a UAV. The mapped environment serves to plan a path for a USV, addressing safety concerns associated with the UAV flight path. This collaboration enables a secure mapping of the underside features of the bridge. Real-world environment tests, conducted with one of the most popular commercial UAS platforms and a novel research USV, demonstrate the feasibility of the developed system in autonomous bridge inspections.
    Original languageEnglish
    Title of host publicationOCEANS 2024 - Singapore 15-18 April 2024
    PublisherIEEE
    Number of pages7
    ISBN (Electronic)9798350362077, 9798350362084
    DOIs
    Publication statusPublished - 24 Sept 2024

    Keywords

    • UAV
    • USV
    • autonomous inspection
    • 3D reconstruction
    • LiDAR
    • unknown environments
    • cooperative robots

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