DocumentCode :
681443
Title :
Aircraft push back direction indicator
Author :
Gellaboina, Mahesh Kumar ; Sridhar, D. ; Swaminathan, G. ; Mohideen, Ibrahim
Author_Institution :
Adv. Technol. Labs., Honeywell Technol. Solutions, Bangalore, India
fYear :
2013
fDate :
15-18 Sept. 2013
Firstpage :
4559
Lastpage :
4563
Abstract :
One of the common ramp activities in an airport is the push-back operation. It involves an aircraft being pushed back off the airport terminal gates (in the apron area) and aligning it towards a taxiway leading to the designated runway prior to departure. The aircraft is assigned a designated taxiway depending on traffic conditions and once the aircraft is aligned with the corresponding taxiway, the taxiway is activated for taxing using ground lighting. There is a need to automatically identify the direction of the aircraft alignment after pushback so as to ensure correct alignment and also to activate the corresponding taxiway. In this paper, a novel real-time solution is proposed for automatically detecting the aircraft pushback direction time using feeds from existing video cameras installed at the gates. The algorithm achieves this objective by obtaining the most stable and significant optical flows from the scene sequence using motion-based segmentation and simultaneous calculation of their orientation direction. Algorithm is designed to perform well during day/nightconditions, in deteriorating climatic conditions with very poor visibility and at low resolution (160×120) and low fps (less than 5 fps).
Keywords :
aerospace computing; aircraft; airports; computerised instrumentation; image motion analysis; image resolution; image segmentation; image sensors; image sequences; road traffic; roads; video cameras; aircraft push back direction indicator; aircraft pushback direction time detection; airport terminal gate; apron area; ground lighting; motion-based segmentation; optical flow; runway; scene sequence; taxiway; traffic condition; video camera; HDR; Motion History Image; Optical flow; Orientation Histogram; Pushback; Visual docking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2013 20th IEEE International Conference on
Conference_Location :
Melbourne, VIC
Type :
conf
DOI :
10.1109/ICIP.2013.6738939
Filename :
6738939
Link To Document :
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