Evolutionary filter for robust mobile robot global localization

Author:

Moreno L.,Garrido S.,Muñoz M.L.

Publisher

Elsevier BV

Subject

Computer Science Applications,General Mathematics,Software,Control and Systems Engineering

Reference23 articles.

1. K. Arras, J.A. Castellanos, R. Siegwart, Feature-based multi-hypothesis localization and tracking for mobile robots using geometric constraints, in: Proc. of the Int. Conference on Robotics and Automation ICRA-02, Washington DC, USA, 2002, pp. 1371–1377

2. D.J. Austin, P. Jensfelt, Using multiple Gaussian hypotheses to represent probability distributions for mobile robot localization, in: Proc. of the Int. Conference on Robotics and Automation ICRA-00, San Francisco, CA, USA, 2000, pp. 1036–1041

3. Experiences with an interactive museum tour-guide robot;Burgard;Artificial Intelligence,1999

4. W. Burgard, D. Fox, D. Henning, T. Schmidt, Estimating the absolute position of a mobile robot using position probability drids, in: Proc. of the National Conference on Artificial Intelligence AAAI-96, Potland, Oregon, USA, 1996, pp. 896–901

5. Modeling a dynamic environment using a Bayesian multi hypothesis approach;Cox;Artificial Intelligence,1994

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