NDLI: Aircraft push back direction indicator

Content Provider	IEEE Xplore Digital Library
Author	Gellaboina, M.K. Sridhar, D. Swaminathan, G. Mohideen, I.
Copyright Year	2013
Description	Author affiliation: Adv. Technol. Labs., Honeywell Technol. Solutions, Bangalore, India (Gellaboina, M.K.; Sridhar, D.; Swaminathan, G.; Mohideen, I.)
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).
Starting Page	4559
Ending Page	4563
File Size	760046
Page Count	5
File Format	PDF
ISBN	9781479923410
DOI	10.1109/ICIP.2013.6738939
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-09-15
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Visual docking Pushback Motion History Image Optical flow Orientation Histogram HDR
Content Type	Text
Resource Type	Article

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