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  4. Path Planning for the Autonomous Inspection of Voxelized Structures
 
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2024
Conference Paper
Title

Path Planning for the Autonomous Inspection of Voxelized Structures

Abstract
We present an infrastructure and model inspection planning approach for known structures in unknown environments. The utilized voxel-based model representations increase the input model flexibility and allow to include environment maps of the surroundings in the planning problem. By simultaneously optimizing both coverage and path length using a GTSP representation, we are able to outperform other state-of-the-art inspection planning routines in both runtime and path length while achieving equivalent coverage.
Author(s)
Hagmanns, Raphael
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Ruf, Boitumelo  
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Bockmühl, Rabanus
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Weißer, Max
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Beyerer, Jürgen  
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Mainwork
IEEE International Symposium on Safety, Security, and Rescue Robotics, SSRR 2024  
Conference
International Symposium on Safety Security Rescue Robotics 2024  
DOI
10.1109/SSRR62954.2024.10770050
Language
English
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Keyword(s)
  • Runtime

  • Inspection

  • Path planning

  • Safety

  • Security

  • Robots

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