Shape Matching for Robot Mapping

  • Diedrich Wolter
  • Longin J. Latecki
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3157)


We present a novel geometric model for robot mapping based on shape. Shape similarity measure and matching techniques originating from computer vision are specially redesigned for matching range scans. The fundamental geometric representation is a structural one, polygonal lines are ordered according to the cyclic order of visibility. This approach is an improvement of the underlying geometric models of today’s SLAM implementations, where shape matching allows us to disregard pose estimations. The object-centered approach allows for compact representations that are well-suited to bridge the gap from metric information needed in path planning to more abstract, i.e. topological or qualitative spatial knowledge desired in complex navigational tasks.


Shape Information Shape Match Polygonal Line Occupancy Grid Basic Similarity Measure 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Diedrich Wolter
    • 1
  • Longin J. Latecki
    • 2
  1. 1.FB 3 – Cognitive SystemsUniversity of BremenBremenGermany
  2. 2.CIS DepartmentTemple UniversityPhiladelphiaUSA

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