Self-localization using sporadic features

Author:

Kraetzschmar Gerhard K.,Enderle Stefan

Publisher

Elsevier BV

Subject

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

Reference10 articles.

1. K. Chung, Markov Chains with Stationary Transition Probabilities, Springer, Berlin, 1960.

2. T. Dean, M. Boddy, An analysis of time-dependent planning, in: Proceedings of the AAAI-88, St. Paul, MN, 1988, pp. 49–54.

3. F. Dellaert, W. Burgard, D. Fox, S. Thrun, Using the condensation algorithm for robust, vision-based mobile robot localization, in: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1999, pp. 588–594.

4. D. Fox, Markov localization: A probabilistic framework for mobile robot localization and navigation, Ph.D. Thesis, University of Bonn, Bonn, Germany, December 1998.

5. D. Fox, W. Burgard, F. Dellaert, S. Thrun, Monte Carlo localization: Efficient position estimation for mobile robots, in: Proceedings of the AAAI-99, Orlando, FL, 1999, pp. 343–349.

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