ML Anthology

Visual Odometry Using Commodity Optical Flow

Jason Campbell, Rahul Sukthankar, Illah R. Nourbakhsh
AAAI 2004 pp. 1008-1009
/aaai/2004/campbell2004aaai-visual/

Abstract

A wide variety of techniques for visual navigation using robot-mounted cameras have been described over the past several decades, yet adoption of optical flow navigation techniques has been slow. This demo illustrates what visual navigation has to offer: robust hazard detection (including precipices and obstacles), high-accuracy open-loop odometry, and stable closed-loop motion control implemented via an optical flow based visual odometry system. This work is based on 1) open source vision code, 2) common computing hardware, and 3) inexpensive, consumer-quality cameras, and as such should be accessible to many robot builders. Demo Overview Optical flow field and camera ego-motion estimation have

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Text

Campbell et al. "Visual Odometry Using Commodity Optical Flow." AAAI Conference on Artificial Intelligence, 2004.

Markdown

[Campbell et al. "Visual Odometry Using Commodity Optical Flow." AAAI Conference on Artificial Intelligence, 2004.](https://mlanthology.org/aaai/2004/campbell2004aaai-visual/)

BibTeX

@inproceedings{campbell2004aaai-visual,
  title     = {{Visual Odometry Using Commodity Optical Flow}},
  author    = {Campbell, Jason and Sukthankar, Rahul and Nourbakhsh, Illah R.},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2004},
  pages     = {1008-1009},
  url       = {https://mlanthology.org/aaai/2004/campbell2004aaai-visual/}
}