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
fDate :
7/1/1997 12:00:00 AM
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;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
