Ground and airborne localization over rough terrain using random environmental range-measurements

Author

Yacoob, Yaser ; Davis, Larry

Author_Institution

Comput. Vision Lab., Maryland Univ., College Park, MD, USA

fYear

1992

fDate

30 Aug-3 Sep 1992

Firstpage

403

Lastpage

406

Abstract

The authors propose an approach for autonomous localization of ground systems on natural terrain. The localization problem is solved using measurements including altitude, heading and distances to specific environmental points. The algorithm utilizes random acquisition of distance measurements to prune the possible location(s) of the viewer. The proposed approach is also applicable to airborne localization. Experiments on a 512×512 terrain are provided

Keywords

computerised pattern recognition; computerised picture processing; position measurement; 262144 pixels; 512 pixels; airborne localization; altitude measurements; autonomous localization; distance measurements; ground localization; heading measurements; natural terrain; random environmental range-measurements; rough terrain; Computer vision; Data acquisition; Educational institutions; Image analysis; Instruments; Parallel processing; Performance evaluation; Sea level; Sea measurements; Sea surface;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 1992. Vol.I. Conference A: Computer Vision and Applications, Proceedings., 11th IAPR International Conference on

Conference_Location

The Hague

Print_ISBN

0-8186-2910-X

Type

conf

DOI

10.1109/ICPR.1992.201586

Filename

201586