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Proceedings Paper

Landing trajectory measurement using onboard video sensor and runway landmarks
Author(s): Hassan Mostafavi; Mark S. Malone
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Paper Abstract

This paper describes experiments that prove the feasibility of using a video sensor for image- based landing trajectory measurement for both data reduction and auto-landing guidance purpose. Video footage recorded with a forward-looking CCD camera mounted under the nose of a Boeing 737 was analyzed post test on a specially designed data reduction workstation. The combined image analysis and photogrammetric algorithms are capable of estimating and automatically tracking the six degrees of freedom (six DOF, or roll, pitch, yaw, and position coordinates) of a rigid body from a single camera view. The six DOF tracking algorithm locates fixed features of the runway in each video frame to estimate and track the six DOF of the camera in the runway reference coordinates. Runway lights were used as the fixed features in this case. The random measurement errors without temporal smoothing were estimated from measurement results. Although the vision-based approach has much smaller systematic error than GPS or inertial system, it can use these as secondary sensors for initial acquisition and maintaining continuous track. The approach is shown to be viable for a real-time auto- landing guidance vision system employing commercially-available hardware technology.

Paper Details

Date Published: 30 June 1995
PDF: 12 pages
Proc. SPIE 2463, Synthetic Vision for Vehicle Guidance and Control, (30 June 1995); doi: 10.1117/12.212735
Show Author Affiliations
Hassan Mostafavi, TAU Corp. (United States)
Mark S. Malone, Boeing Commericial Airplane Group (United States)


Published in SPIE Proceedings Vol. 2463:
Synthetic Vision for Vehicle Guidance and Control
Jacques G. Verly, Editor(s)

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