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
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;
Conference_Titel :
Computer Vision and Pattern Recognition, 1992. Proceedings CVPR '92., 1992 IEEE Computer Society Conference on
Conference_Location :
Champaign, IL
Print_ISBN :
0-8186-2855-3
DOI :
10.1109/CVPR.1992.223174
