GPS/machine vision navigation system for aircraft

GPS/machine vision navigation system for aircraft

A Kalman filter based multiple sensor fusion method for determining the position of a general aviation aircraft with respect to the runway during night landing and takeoff is discussed. Known structure of the airport lights, video images acquired by an onboard video camera, position estimates from a...

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Veröffentlicht in:IEEE transactions on aerospace and electronic systems 1997-07, Vol.33 (3), p.1012-1025
Hauptverfasser: Chatterji, G.B., Menon, P.K., Sridhar, B.
Format: Artikel
Sprache:eng
Schlagworte:
Acceleration
Accidents
Aerodynamics
Aircraft navigation
Airports
Applied sciences
Cameras
Exact sciences and technology
Global Positioning System
Kalman filters
Machine vision
Radiolocalization and radionavigation
Sensor fusion
Telecommunications
Telecommunications and information theory
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Beschreibung
Zusammenfassung:A Kalman filter based multiple sensor fusion method for determining the position of a general aviation aircraft with respect to the runway during night landing and takeoff is discussed. Known structure of the airport lights, video images acquired by an onboard video camera, position estimates from an onboard Global Positioning System (GPS), and data from an attitude indicator are integrated in a Kalman filtering algorithm. Simulation results are presented to demonstrate the feasibility of the proposed concept.
ISSN:0018-9251
1557-9603
DOI:10.1109/7.599326