Title :
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
fDate :
30 Aug-3 Sep 1992
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;
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
DOI :
10.1109/ICPR.1992.201586
