Autonomous Robot Navigation with Automatic Learning of Visual Landmarks

@inproceedings{Madsen1999AutonomousRN,
  title={Autonomous Robot Navigation with Automatic Learning of Visual Landmarks},
  author={Claus B. Madsen},
  year={1999}
}
By observing visual landmarks it is possible to continuously update an estimated robot position while the robot is moving. In particular, using a triangulation algorithm based on three landmarks the robot position can be estimated each time three landmarks are observed. If the selected landmark triplet is an optimal triplet, the estimated robot position is accurate and errors do not accumulate. In order to make the system autonomous, both acquisition and observation of landmarks have to be… CONTINUE READING

References

Publications referenced by this paper.
Showing 1-10 of 13 references

Optimization of robot self-localization accuracy by automatic visual-landmark selection

  • S. Livatino, C. B. Madsen
  • Scandinavian Conference on Image Analysis (SCIA),
  • 1999
Highly Influential
5 Excerpts

A

  • P. Zingarett
  • Carbonaro. Route following based on adaptive…
  • 1998
1 Excerpt

A Framework for Control of a Camera Head

  • C. S. Andersen
  • PhD thesis, Aalborg University, Denmark,
  • 1996
2 Excerpts

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