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Proceedings Paper

Vehicle localization on gravity maps
Author(s): Behzad Kamgar-Parsi; Behrooz Kamgar-Parsi
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Paper Abstract

Efforts are underway to develop the capability for small unmanned underwater vehicles to use the Earth's gravitational field for autonomous navigation. A main aspect of navigation is vehicle localization on an existing gravity map. We have developed machine vision-like algorithms that match the onboard gravimeter measurements to the map values. In gravity maps there are typically a dearth of distinctive topographic features such as peaks, ridges, ravines, etc. Moreover, because the gravity field can only be measured in-place, probing for such features is infeasible as it would require extensive surveys. These factors, make the commonly used feature matching approach impractical. The localization algorithms we have developed are based on matching with contours of constant field value. These algorithms are tested on simulated data with encouraging results. Although these algorithms are developed for underwater navigation using gravity maps, they are equally applicable to other domains, for example vehicle localization on an existing terrain map.

Paper Details

Date Published: 22 July 1999
PDF: 10 pages
Proc. SPIE 3693, Unmanned Ground Vehicle Technology, (22 July 1999); doi: 10.1117/12.354447
Show Author Affiliations
Behzad Kamgar-Parsi, Naval Research Lab. (United States)
Behrooz Kamgar-Parsi, Naval Research Lab. (United States)

Published in SPIE Proceedings Vol. 3693:
Unmanned Ground Vehicle Technology
Grant R. Gerhart; Robert W. Gunderson; Chuck M. Shoemaker, Editor(s)

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