The Robotics Institute

Carnegie Mellon Robotics Institute

Copyright notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.

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",
}

The Robotics Institute

Menu