Computational Ground and Airborne Localization over Rough Terrain
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.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Cite
Text
Yacoob and Davis. "Computational Ground and Airborne Localization over Rough Terrain." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1992. doi:10.1109/CVPR.1992.223174Markdown
[Yacoob and Davis. "Computational Ground and Airborne Localization over Rough Terrain." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1992.](https://mlanthology.org/cvpr/1992/yacoob1992cvpr-computational/) doi:10.1109/CVPR.1992.223174BibTeX
@inproceedings{yacoob1992cvpr-computational,
title = {{Computational Ground and Airborne Localization over Rough Terrain}},
author = {Yacoob, Yaser and Davis, Larry S.},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year = {1992},
pages = {781-783},
doi = {10.1109/CVPR.1992.223174},
url = {https://mlanthology.org/cvpr/1992/yacoob1992cvpr-computational/}
}