@COMMENT This file was generated by bib2html.pl <https://sourceforge.net/projects/bib2html/> version 0.94
@COMMENT written by Patrick Riley <http://sourceforge.net/users/patstg/>
@COMMENT This file came from Patrick Beeson's publication pages at
@COMMENT http://personal.traclabs.com/~pbeeson/publications
@InProceedings{Modayil-iros-04,
  author =	 {Joseph Modayil and Patrick Beeson and Benjamin
                  Kuipers},
  title =	 {Using the topological skeleton for scalable, global,
                  metrical map-building},
  booktitle =	 {Proceedings of the IEEE/RSJ Conference on
                  Intelligent Robots and Systems (IROS)},
  year =	 2004,
  address =	 {Sendai, Japan},
  month =	 {September},
  pages =	 {1530--1536},
  abstract =	 {Most simultaneous localization and mapping (SLAM)
                  approaches focus on purely metrical approaches to
                  map-building. We present a method for computing the
                  global metrical map that builds on the structure
                  provided by the topological map. This allows us to
                  factor the uncertainty in the map into local
                  metrical uncertainty (which is handled well by
                  existing SLAM methods), global topological
                  uncertainty (which is handled well by existing
                  topological map-learning methods), and global
                  metrical uncertainty (which can be handled
                  effectively once the other types of uncertainty are
                  factored out). We believe that this method for
                  building the global metrical map will be scalable to
                  very large environments.},
  bib2html_pubtype ={Refereed Conference},
  bib2html_rescat ={Simultaneous Localization and Mapping (SLAM)},
}