Original numerical method for autonomous navigation

Hubert M. J. Cantalloube; Carole E. Nahum

doi:10.1117/12.179599

13 July 1994 Original numerical method for autonomous navigation

Hubert M. J. Cantalloube, Carole E. Nahum

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Proceedings Volume 2220, Sensing, Imaging, and Vision for Control and Guidance of Aerospace Vehicles; (1994) https://doi.org/10.1117/12.179599
Event: SPIE's International Symposium on Optical Engineering and Photonics in Aerospace Sensing, 1994, Orlando, FL, United States

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.

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Hubert M. J. Cantalloube and Carole E. Nahum "Original numerical method for autonomous navigation", Proc. SPIE 2220, Sensing, Imaging, and Vision for Control and Guidance of Aerospace Vehicles, (13 July 1994); https://doi.org/10.1117/12.179599

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