Stefan Enderle, Marcus Ritter, Dieter Fox, Stefan Sablatnög, Gerhard Kraetzschmar, Günther Palm  Home/Search
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Abstract: Knowing its position in an environment is an essential capability for any useful mobile robot. Monte-Carlo Localization (MCL) has become a popular framework for solving the self-localization problem in mobile robots. The known methods exploit sensor data obtained from laser range nders or sonar rings to estimate robot positions and are quite reliable and robust against noise. An open question is whether comparable localization performance can be achieved using only camera images, especially if ... (Update)
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BibTeX entry: (Update)
Enderle, S., Ritter, M., Fox, D., Sablatnog, S., Kraetzschmar, G., Palm, G.: Soccer robot localization using sporadic visual features. In et al., E.P., ed.: International Conference on Intelligent Autonomous Systems 6 (IAS-6). (2000) 959--966 http://citeseer.ist.psu.edu/enderle00soccerrobot.html More
@misc{ enderle00soccer,
author = "S. Enderle and M. Ritter and D. Fox and S. Sablatnog and G. Kraetzschmar
and G. Palm",
title = "Soccer robot localization using sporadic visual features",
text = "Enderle, S., Ritter, M., Fox, D., Sablatnog, S., Kraetzschmar, G., Palm,
G.: Soccer robot localization using sporadic visual features. In et al.,
E.P., ed.: International Conference on Intelligent Autonomous Systems 6
(IAS-6). (2000) 959--966",
year = "2000",
url = "citeseer.ist.psu.edu/enderle00soccerrobot.html" }
Citations (may not include all citations):109 Robocup a challenge problem for ai (context) - Kitano, Asada et al. - 1997
83 Markov chains with stationary transition probabilitites (context) - Chung - 1960
73 Bayesian statistics without tears: A samplingresampling pers.. (context) - Smith, Gelfand - 1992
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47 The Kalman Filter: An Introduction to Concepts (context) - Maybeck - 1990
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27 Markov Localization: A Probabilistic Framework for Mobile Ro.. - Fox - 1998
3 Visual feature detection for robot localization and object r.. (context) - Neubeck, Ritter et al. - 2000
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