Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/110282
Title: Correspondence and clustering methods for image-based wing-tip collision avoidance techniques
Authors: Gauci, Jason
Zammit-Mangion, David
Sabatini, R.
Keywords: Taxiways
Airplanes -- Taxiing
Airports
Airplanes -- Collision avoidance
Aeronautics -- Safety measures
Issue Date: 2012
Publisher: The International Council of the Aeronautical Science
Citation: Gauci, J., Zammit-Mangion, D., & Sabatini, R. (2012, September). Correspondence and clustering methods for image-based wing-tip collision avoidance techniques. 28th International Congress of the Aeronautical Sciences (ICAS 2012). Austria. 4545-4557.
Abstract: Ramp and taxiway regions are the most congested areas of an aerodrome. High levels of activity are associated with these areas and aircraft are frequently surrounded by several types of obstacles, including other aircraft and vehicles. This paper discusses the correspondence and clustering techniques of a stereo vision system that can be installed on board an aircraft to detect and track generic obstacles around the aircraft during ground manoeuvres.
URI: https://www.um.edu.mt/library/oar/handle/123456789/110282
Appears in Collections:Scholarly works - InsAT

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