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Cooperative Robotic Path Planning for Comprehensive Bridge Inspection with LiDAR Technology: Navigating Unknown Structures

Ben Bartlett, Matheus Santos, Marco Moreno-Ibarra, Sagar Dalai, Cillian Fahy, Alexander Dow, Hector Gonzalez, Petar Trslić, James Riordan, Edin Omerdić, Daniel Toal, Gerard Dooly

Year
2024
Citations
4

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.

Keywords

LidarMotion planningBridge (graph theory)Computer sciencePath (computing)Computer visionArtificial intelligenceMobile robotRobotRemote sensing

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