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Watch their Moves: Applying Probabilistic Multiple Object Tracking to Autonomous Robot Soccer (bibtex) [pdf]
@inproceedings{Sch02Wat,
  author    = "Thorsten Schmitt and Michael Beetz and Robert Hanek and Sebastian Buck",
  title     = "Watch their Moves: Applying Probabilistic Multiple Object Tracking to Autonomous Robot Soccer",
  booktitle = "The Eighteenth National Conference on Artificial Intelligence",
  address   = "Edmonton, Canada",
  year      = {2002},
  bib2html_pubtype  = {Refereed Conference Paper},
  bib2html_rescat   = {State Estimation, Robot Vision, RoboCup},
  bib2html_groups   = {AGILO},
  bib2html_funding  = {AGILO},
  bib2html_keywords = {Robot, Vision, State Estimation},
  abstract = {In many autonomous robot applications robots must be capable of estimating the positions and
              motions of moving objects in their environments. In this paper, we apply probabilistic multiple
              object tracking to estimating the positions of opponent players in autonomous robot soccer. We
              extend an existing tracking algorithm to handle multiple mobile sensors with uncertain positions,
              discuss the specification of probabilistic models needed by the algorithm, and describe the
              required vision-interpretation algorithms. The multiple object tracking has been successfully
              applied throughout the RoboCup 2001 world championship.}
}
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Last edited 09.03.2013 19:45 by goron