Header logo is ei

Homing by parameterized scene matching

1997

Conference Paper

ei


In visual homing tasks, animals as well as robots can compute their movements from the current view and a snapshot taken at a home position. Solving this problem exactly would require knowledge about the distances to visible landmarks, information, which is not directly available to passive vision systems. We propose a homing scheme that dispenses with accurate distance information by using parameterized disparity fields. These are obtained from an approximation that incorporates prior knowledge about perspective distortions of the visual environment. A mathematical analysis proves that the approximation does not prevent the scheme from approaching the goal with arbitrary accuracy. Mobile robot experiments are used to demonstrate the practical feasibility of the approach.

Author(s): Franz, MO. and Schölkopf, B. and Bülthoff, HH.
Journal: Proceedings of the 4th European Conference on Artificial Life, (Eds.) P. Husbands, I. Harvey. MIT Press, Cambridge 1997
Pages: 236-245
Year: 1997
Month: July
Day: 0
Editors: P Husbands and I Harvey
Publisher: MIT Press

Department(s): Empirical Inference
Bibtex Type: Conference Paper (inproceedings)

Event Name: 4th European Conference on Artificial Life (ECAL97)
Event Place: Brighton, UK

Address: Cambridge, MA, USA
Digital: 0
ISBN: 0-262-58157-4
Organization: Max-Planck-Gesellschaft
School: Biologische Kybernetik

Links: PDF

BibTex

@inproceedings{357,
  title = {Homing by parameterized scene matching},
  author = {Franz, MO. and Sch{\"o}lkopf, B. and B{\"u}lthoff, HH.},
  journal = {Proceedings of the 4th European Conference on Artificial Life, (Eds.) P. Husbands, I. Harvey. MIT Press, Cambridge 1997},
  pages = {236-245},
  editors = {P Husbands and I Harvey},
  publisher = {MIT Press},
  organization = {Max-Planck-Gesellschaft},
  school = {Biologische Kybernetik},
  address = {Cambridge, MA, USA},
  month = jul,
  year = {1997},
  month_numeric = {7}
}