Deriving and matching image fingerprint sequences for mobile robot localization

@inproceedings{Lamon2001DerivingAM,
  title={Deriving and matching image fingerprint sequences for mobile robot localization},
  author={Pierre Lamon and Illah R. Nourbakhsh and Bj{\"o}rn Jensen and Roland Siegwart},
  booktitle={ICRA},
  year={2001}
}
This paper proposes a method for creating unique identifiers, called fingerprint sequences, for visually distinct locations by recovering statistically significant features in panoramic color images. Fingerprint sequences are expressive enough for mobile robot localization, as demonstrated using a minimum energy sequence-matching algorithm that is described. Empirical results in two different places demonstrate the reliability of the system for global localization on a Nomad Scout mobile robot. 
Highly Cited
This paper has 81 citations. REVIEW CITATIONS
53 Citations
15 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 53 extracted citations

82 Citations

051015'01'04'08'12'16
Citations per Year
Semantic Scholar estimates that this publication has 82 citations based on the available data.

See our FAQ for additional information.

Similar Papers

Loading similar papers…