dc.contributor.author Jefferies, M.
dc.contributor.author Cosgrove, M.
dc.contributor.author Baker, J.
dc.contributor.author Yeap, W.
dc.date.accessioned 2009-05-27T22:22:16Z
dc.date.available 2009-05-27T22:22:16Z
dc.date.copyright 2004
dc.date.created 2004
dc.date.issued 2009-05-27T22:22:16Z
dc.identifier.uri http://hdl.handle.net/10292/638
dc.description.abstract In Simultaneous Localisation and Mapping (SLAM) the correspondence problem, specifically detecting cycles, is one of the most difficult challenges for an autonomous mobile robot. In this paper we show how significant cycles in a topological map can be identified with a companion absolute global metric map. A tight coupling of the basic unit of representation in the two maps is the key to the method. Each local space visited is represented, with its own frame of reference, as a node in the topological map. In the global absolute metric map these local space representations from the topological map are described within a single global frame of reference. The method exploits the overlap which occurs when duplicate representations are computed from different vantage points for the same local space. The representations need not be exactly aligned and can thus tolerate a limited amount of accumulated error. We show how false positive overlaps which are the result of a misaligned map, can be discounted. © Springer-Verlag 2004.
dc.publisher Springer
dc.publisher AUT University
dc.relation.uri http://dx.doi.org/10.1007/b100909
dc.rights The original publication is available at www.springerlink.com.
dc.source Lecture Notes in Computer Science, 3213, 232-239
dc.title The correspondence problem in topological metric mapping - using absolute metric maps to close cycles
dc.type Journal Article
dc.rights.accessrights OpenAccess

Search Scholarly Commons


Advanced Search

Browse

Theses and Dissertations

About Scholarly Commons

Usage Statistics

Share

  • Bookmark and Share