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Localization and mapping in urban environments using mobile Robots

Journal of the Brazilian Computer Society volume 13, pages 69–79 (2007)Cite this article

Abstract

Mapping is a basic capability for mobile robots. Most applications demand some level of knowledge about the environment to be accomplished. Most mapping approaches in the literature are designed to perform in small structured (indoor) environments. This paper addresses the problems of localization and mapping in large urban (outdoor) environments. Due to their complexity, lack of structure and dimensions, urban environments presents several difficulties for the mapping task. Our approach has been extensively tested and validated in realistic situations. Our experimental results include maps of several city blocks and a performance analysis of the algorithms proposed.

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Authors and Affiliations

  1. Department Computer Systems Institute of Mathematics and Computer Science, University of São Paulo, P.O.Box 668, Zip 13560-970, São Carlos, SP, BRAZIL

    Denis F. Wolf

  2. Robotic Embedded Systems Laboratory Department of Computer Science, University of Southern California, Zip 90089-0781, Los Angeles, CA, USA

    Gaurav S. Sukhatme

Authors
  1. Denis F. Wolf
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  2. Gaurav S. Sukhatme
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Correspondence to Denis F. Wolf.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License ( https://creativecommons.org/licenses/by/2.0 ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Wolf, D.F., Sukhatme, G.S. Localization and mapping in urban environments using mobile Robots. J Braz Comp Soc 13, 69–79 (2007). https://doi.org/10.1007/BF03194257

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  • DOI: https://doi.org/10.1007/BF03194257

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