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Improved Techniques for Grid Mapping with Rao ...

1. Improved Techniques for Grid Mapping with Rao-Blackwellized Particle Filters Giorgio Grisetti Cyrill Stachniss Wolfram Burgard . University of Freiburg, Dept. of Computer Science, Georges-Ko hler-Allee 79, D-79110 Freiburg, Germany Dipartimento Informatica e Sistemistica, Universita La Sapienza , Via Salaria 113, I-00198 Rome, Italy Eidgeno ssische Technische Hochschule Zurich (ETH), IRIS, ASL, 8092 Zurich, Switzerland Abstract Recently, Rao-Blackwellized particle filters have An adaptive resampling technique which maintains a been introduced as an effective means to solve the simultaneous reasonable variety of particles and in this way enables localization and Mapping problem.

robots. In the literature, the mobile robot mapping problem is often referred to as the simultaneous localization and mapping (SLAM) problem [4, 6, 9, 15, 16, 26, 29, 32, 39]. It is considered to be a complex problem, because for localization a robot needs a consistent map and for acquiring a map a robot requires a good estimate of its location.

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  Mapping, Slam, Localization

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