Sonar Localisation for Mobile Robots: A Model-Based Approach

Abstract : We advocate a probabilistic, model-based approach to sensing, using the sonar localisation of an autonomous robot vehicle as an example. Our method stresses the thorough mathematical modelling of the sensing process, and in particular the careful statistical modelling of likely error sources and failure modes. We claim that reliable sonar localisation can be achieved in this way, by combining sensor physics with robust probabilistic data fusion techniques.
Type de document :
Communication dans un congrès
IEEE International Workshop Emerging Technologies for Factory Automation (ETFA '92), Aug 1992, Melbourne, Australia. IEEE Computer Society, pp.387--392, 1992, 〈http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=683285〉. 〈10.1109/ETFA.1992.683285〉
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Soumis le : lundi 20 décembre 2010 - 08:44:50
Dernière modification le : mardi 4 janvier 2011 - 14:08:10

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Bill Triggs, Stephen Cameron. Sonar Localisation for Mobile Robots: A Model-Based Approach. IEEE International Workshop Emerging Technologies for Factory Automation (ETFA '92), Aug 1992, Melbourne, Australia. IEEE Computer Society, pp.387--392, 1992, 〈http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=683285〉. 〈10.1109/ETFA.1992.683285〉. 〈inria-00548436〉

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