DocumentCode :
313714
Title :
A sub-optimal algorithm for automatic map building
Author :
Csorba, Michael ; Uhlmann, Jeffrey K. ; Durrant-Whyte, Hugh F.
Author_Institution :
Oxford Univ., UK
Volume :
1
fYear :
1997
fDate :
4-6 Jun 1997
Firstpage :
537
Abstract :
This paper examines the problem of automatically constructing a map of an unknown environment from a vehicle whose location is also unknown. The application of the Kalman filter to this problem is briefly described and the practical limitation of the filter in this context is discussed. A suboptimal algorithm, the relative filter, is introduced that avoids many of the computational and practical problems of the direct Kalman filter approach to this problem. The performance of the full Kalman filter and the relative filter is compared in a real map building scenario
Keywords :
covariance matrices; filtering theory; mobile robots; navigation; path planning; position control; state estimation; vehicles; Kalman filter; automatic map building; covariance matrix; position control; relative filter; state estimation; suboptimal algorithm; vehicle; Covariance matrix; Error correction; Filters; Goniometers; Laboratories; Position measurement; State estimation; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 1997. Proceedings of the 1997
Conference_Location :
Albuquerque, NM
ISSN :
0743-1619
Print_ISBN :
0-7803-3832-4
Type :
conf
DOI :
10.1109/ACC.1997.611857
Filename :
611857
Link To Document :
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