DocumentCode
1303156
Title
GPS/machine vision navigation system for aircraft
Author
Chatterji, G.B. ; Menon, P.K. ; Sridhar, B.
Author_Institution
Sterling Software Inc., NASA Ames Res. Center, Moffett Field, CA, USA
Volume
33
Issue
3
fYear
1997
fDate
7/1/1997 12:00:00 AM
Firstpage
1012
Lastpage
1025
Abstract
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.
Keywords
Global Positioning System; Kalman filters; aircraft landing guidance; computer vision; sensor fusion; GPS; Kalman filter; aircraft; airport lights; attitude indicator; general aviation aircraft; machine vision; multiple sensor fusion method; navigation system; night landing; night takeoff; position estimates; video images; Acceleration; Accidents; Aerodynamics; Aircraft navigation; Airports; Cameras; Global Positioning System; Kalman filters; Machine vision; Sensor fusion;
fLanguage
English
Journal_Title
Aerospace and Electronic Systems, IEEE Transactions on
Publisher
ieee
ISSN
0018-9251
Type
jour
DOI
10.1109/7.599326
Filename
599326
Link To Document