DocumentCode
3206249
Title
Computational ground and airborne localization over rough terrain
Author
Yacoob, Yaser ; Davis, Larry
Author_Institution
Comput. Vision Lab., Maryland Univ., College Park, MD, USA
fYear
1992
fDate
15-18 Jun 1992
Firstpage
781
Lastpage
783
Abstract
An approach for autonomous localization of ground vehicles on natural terrain is proposed. The localization problem is solved using measurements including attitude, 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 approach is also applicable to airborne localization
Keywords
image recognition; navigation; airborne localization; attitude; environmental points; ground vehicles; heading; natural terrain; rough terrain; Computer vision; Distance measurement; Educational institutions; Image analysis; Laboratories; Land vehicles; Performance evaluation; Sea level; Sea measurements; Sea surface;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 1992. Proceedings CVPR '92., 1992 IEEE Computer Society Conference on
Conference_Location
Champaign, IL
ISSN
1063-6919
Print_ISBN
0-8186-2855-3
Type
conf
DOI
10.1109/CVPR.1992.223174
Filename
223174
Link To Document