Remote Enhanced Visual Inspection of Aircraft by a Mobile Robot

Priyan Gunatilake and Mel Siegel
Proceedings of the 1998 IMTC Conference, May, 1998, pp. 49 - 58.


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Abstract
Aircraft skin ispection methodology, and the technical and economic advantages that can be expected from doing it with the aid of robotics, automation, and computer vision technologies, are reviewed. Robots for deployment of inspection systems are described briefly. Computer vision methods and algorithms for detection of cracks, surface corrosion, and subsurface corrosion are then discussed in detail. Cracks and surface corrosion are both detected by algorithms that pipeline preprocessing/enhancement, multiresolution/wavelet based feature extraction, and neural net based feature vector classification; subsurface corrosion is detected by a structured laser light surface profiling technique for the pillowing that subsurface corrosion causes. Functionality is illustrated by application to current data.

Notes
Associated Center(s) / Consortia: Center for Integrated Manfacturing Decision Systems
Associated Lab(s) / Group(s): Intelligent Sensor, Measurement, and Control Lab
Associated Project(s): Crown Inspection Mobile Platform

Text Reference
Priyan Gunatilake and Mel Siegel, "Remote Enhanced Visual Inspection of Aircraft by a Mobile Robot," Proceedings of the 1998 IMTC Conference, May, 1998, pp. 49 - 58.

BibTeX Reference
@inproceedings{Gunatilake_1998_1316,
   author = "Priyan Gunatilake and Mel Siegel",
   title = "Remote Enhanced Visual Inspection of Aircraft by a Mobile Robot",
   booktitle = "Proceedings of the 1998 IMTC Conference",
   pages = "49 - 58",
   publisher = "IEEE",
   month = "May",
   year = "1998",
}