Correspondence and clustering methods for image-based wing-tip collision avoidance techniques

Gauci, J, Zammit-Mangion, D and Sabatini, R 2012, 'Correspondence and clustering methods for image-based wing-tip collision avoidance techniques', in Professor I Grant (ed.) Proceedings of the 28th International Congress of the Aeronautical Sciences, Brisbane, Australia, 23-28 September 2012, pp. 1-13.


Document type: Conference Paper
Collection: Conference Papers

Title Correspondence and clustering methods for image-based wing-tip collision avoidance techniques
Author(s) Gauci, J
Zammit-Mangion, D
Sabatini, R
Year 2012
Conference name ICAS 2012
Conference location Brisbane, Australia
Conference dates 23-28 September 2012
Proceedings title Proceedings of the 28th International Congress of the Aeronautical Sciences
Editor(s) Professor I Grant
Publisher International Council of the Aeronautical Science
Place of publication Bonn, Germany
Start page 1
End page 13
Total pages 13
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.
Subjects Avionics
Navigation and Position Fixing
Control Systems, Robotics and Automation
Engineering Instrumentation
Aerospace Engineering not elsewhere classified
Aircraft Performance and Flight Control Systems
Automation and Control Engineering
Applied Mathematics not elsewhere classified
Keyword(s) Correspondence
clustering
stereo vision
obstacle detection
Copyright notice © 2013 ICAS
ISBN 9780956533319
Versions
Version Filter Type
Citation counts: Scopus Citation Count Cited 0 times in Scopus Article
Access Statistics: 45 Abstract Views  -  Detailed Statistics
Created: Tue, 20 Jan 2015, 10:22:00 EST by Catalyst Administrator
© 2014 RMIT Research Repository • Powered by Fez SoftwareContact us