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.

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Publication Details

Published
2024-11-12
DOI
https://doi.org/10.1109/ssrr62954.2024.10770050
Primary Topic
Robotic Path Planning Algorithms
Type
article
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article

Path Planning for the Autonomous Inspection of Voxelized Structures

Raphael Hagmanns, Boitumelo Ruf, Jürgen Beyerer, Manfred Weisser et al.
Robotic Path Planning Algorithms
article

Path Planning for the Autonomous Inspection of Voxelized Structures

Raphael Hagmanns, Boitumelo Ruf, Jürgen Beyerer, Manfred Weisser, Rabanus Bockmühl
article en

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.

Karlsruhe Institute of Technology (DE), Fraunhofer Institute of Optronics, System Technologies and Image Exploitation (DE)
Openalex Percentile: Top 78%
Robotic Path Planning Algorithms
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