The Robotics Institute

Carnegie Mellon Robotics Institute

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Abstract

Visual inspection is the most widely used method in commercial aircraft surface inspection. We have developed a prototype remote visual inspection system, designed to facilitate testing the feasibility and advantages of remote visual inspection of aircraft surfaces. We describe experiments with image understanding algorithms to aid remote visual inspection by enhancing and recognizing surface cracks and corrosion from live imagery. Also described are the supporting mobile robot platform that delivers the imagery, and the inspection console through which the inspector accesses it. We discuss initial results of the image understanding algorithms and speculate on their future use in aircraft surface inspection.

Keywords

enhanced remote robotic visual inspection, stereoscopic, multiresolution, ANDI, CIMP,

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

Mel Siegel and Priyan Gunatilake, "Enhanced Remote Visual Inspection of Aircraft Skin," Proceedings of the Intelligent NDE Sciences for Aging and Futuristic Aircraft Workshop, September, 1997, pp. 101 - 112.

BibTeX Reference

@inproceedings{Siegel_1997_1317,
   author = "Mel Siegel and Priyan Gunatilake",
   title = "Enhanced Remote Visual Inspection of Aircraft Skin",
   booktitle = "Proceedings of the Intelligent NDE Sciences for Aging and Futuristic Aircraft Workshop",
   pages = "101 - 112",
   month = "September",
   year = "1997",
}

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