Path Planning for the Autonomous Inspection of Voxelized Structures
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.
Authors
- Raphael Hagmanns
- Boitumelo Ruf (ORCID: https://orcid.org/0000-0003-2627-3202)
- Jürgen Beyerer (ORCID: https://orcid.org/0000-0003-3556-7181)
- Manfred Weisser
- Rabanus Bockmühl
Institutions
- Karlsruhe Institute of Technology (DE)
- Fraunhofer Institute of Optronics, System Technologies and Image Exploitation (DE)
Publication Details
- Published
- 2024-11-12
- DOI
- https://doi.org/10.1109/ssrr62954.2024.10770050
- Primary Topic
- Robotic Path Planning Algorithms
- Type
- article
- Field-Weighted Citation Impact
- 0.00