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Set membership localization of mobile robots via angle measurements

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2 Author(s)
Garulli, A. ; Dipt. di Ingegneria dell''Inf., Siena Univ., Italy ; Vicino, A.

This paper addresses the localization problem for a mobile robot navigating in an unstructured outdoor environment. A new technique is introduced, for computing an estimate of the position of the robot and the related uncertainty region, in the presence of visual angle measurements affected by bounded errors. The proposed set membership estimation procedure exploits the structure of the static set estimator, to solve recursively the dynamic localization problem

Published in:

Robotics and Automation, IEEE Transactions on  (Volume:17 ,  Issue: 4 )

Date of Publication:

Aug 2001

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