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Proceedings Paper

Infrared augmentation system for collision avoidance on airport surfaces
Author(s): Elizabeth Ann Berman
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Paper Abstract

The Federal Aviation Administration is examining a variety of technologies for augmenting surface radar detection at airports. This paper describes the testing of infrared cameras and operational concepts to improve detection and tracking of targets on airport surfaces. Three different cameras were tested during summer and winter months and during inclement weather. Two operational concepts were tested at Dulles International Airport. A prototype image processing system is described that extracts target coordinates from camera video output and passes them to an AMASS simulator for fusion with radar and other target tracking data. All three cameras evaluated were able to detect and recognize a variety of targets on a runway surface including humans, vehicles, and small and large airplanes. The range to detection and recognition varies with each camera's instantaneous FOV, thermal sensitivity, atmospheric conditions and operating conditions. Each camera was found to meet specific FAA requirements in unique ways.

Paper Details

Date Published: 17 July 1998
PDF: 10 pages
Proc. SPIE 3374, Signal Processing, Sensor Fusion, and Target Recognition VII, (17 July 1998); doi: 10.1117/12.327105
Show Author Affiliations
Elizabeth Ann Berman, Tri-Space, Inc. (United States)

Published in SPIE Proceedings Vol. 3374:
Signal Processing, Sensor Fusion, and Target Recognition VII
Ivan Kadar, Editor(s)

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