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Proceedings Paper

Original numerical method for autonomous navigation
Author(s): Hubert M. J. Cantalloube; Carole E. Nahum
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Paper Abstract

The navigation of autonomous aerial vehicles is achieved via an original numerical technique. The algorithm, which generalizes Kalman filter and the probabilistic data association filter (PDAF) to unnecessary Gaussian states, allows a high level of ambiguity in the observations (confusions, false alarms, and nondetections). Its efficiency and its low complexity are illustrated by a realistic simulation.

Paper Details

Date Published: 13 July 1994
PDF: 11 pages
Proc. SPIE 2220, Sensing, Imaging, and Vision for Control and Guidance of Aerospace Vehicles, (13 July 1994); doi: 10.1117/12.179599
Show Author Affiliations
Hubert M. J. Cantalloube, Office National d'Etudes et de Recherches Aerospatiales (France)
Carole E. Nahum, Office National d'Etudes et de Recherches Aerospatiales (France)


Published in SPIE Proceedings Vol. 2220:
Sensing, Imaging, and Vision for Control and Guidance of Aerospace Vehicles
Jacques G. Verly; Sharon S. Welch, Editor(s)

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