ML Anthology

Large-Scale mAP-Making

Kurt Konolige
AAAI 2004 pp. 457-463
/aaai/2004/konolige2004aaai-large/

Abstract

Current mapping algorithms using Consistent Pose Estimation (CPE) algorithms can successfully map areas of 104 square meters, using thousands of poses. However, the computation to construct the map grows as O(n log n), so larger maps get increasingly difficult to build. We present an abstraction method for postponing the growth in computation. This method solves a much smaller problem in the space of the connection graph of the map.

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Cite

Text

Konolige. "Large-Scale mAP-Making." AAAI Conference on Artificial Intelligence, 2004.

Markdown

[Konolige. "Large-Scale mAP-Making." AAAI Conference on Artificial Intelligence, 2004.](https://mlanthology.org/aaai/2004/konolige2004aaai-large/)

BibTeX

@inproceedings{konolige2004aaai-large,
  title     = {{Large-Scale mAP-Making}},
  author    = {Konolige, Kurt},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2004},
  pages     = {457-463},
  url       = {https://mlanthology.org/aaai/2004/konolige2004aaai-large/}
}