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Proceedings Paper

3D point cloud analysis for automatic inspection of aeronautical mechanical assemblies
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Paper Abstract

In this paper, we address the problem of automatic robotic inspection in two parts: first, automatic selection of informative viewpoints before the inspection process is started, and, second, automatic treatment of the acquired 3D point cloud from said viewpoints. We apply our system to detecting defects on aircraft Electrical Wiring Interconnection System (EWIS) in order to comply with the growing amount of safety regulations such as interference and allowable bend radius of cables in mechanical assemblies.

Paper Details

Date Published: 16 July 2019
PDF: 9 pages
Proc. SPIE 11172, Fourteenth International Conference on Quality Control by Artificial Vision, 111720U (16 July 2019); doi: 10.1117/12.2521715
Show Author Affiliations
Hamdi Ben Adallah, Institut Clément Ader, Univ. de Toulouse, CNRS (France)
DiotaSoft (France)
Jean-José Orteu, Institut Clément Ader, Univ. de Toulouse, CNRS (France)
Benoit Dolives, DiotaSoft (France)
Igor Jovančević, DiotaSoft (France)


Published in SPIE Proceedings Vol. 11172:
Fourteenth International Conference on Quality Control by Artificial Vision
Christophe Cudel; Stéphane Bazeille; Nicolas Verrier, Editor(s)

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