Flowdometry: An Optical Flow and Deep Learning Based Approach to Visual Odometry

Cite

Text

Muller and Savakis. "Flowdometry: An Optical Flow and Deep Learning Based Approach to Visual Odometry." IEEE/CVF Winter Conference on Applications of Computer Vision, 2017. doi:10.1109/WACV.2017.75

Markdown

[Muller and Savakis. "Flowdometry: An Optical Flow and Deep Learning Based Approach to Visual Odometry." IEEE/CVF Winter Conference on Applications of Computer Vision, 2017.](https://mlanthology.org/wacv/2017/muller2017wacv-flowdometry/) doi:10.1109/WACV.2017.75

BibTeX

@inproceedings{muller2017wacv-flowdometry,
  title     = {{Flowdometry: An Optical Flow and Deep Learning Based Approach to Visual Odometry}},
  author    = {Muller, Peter and Savakis, Andreas E.},
  booktitle = {IEEE/CVF Winter Conference on Applications of Computer Vision},
  year      = {2017},
  pages     = {624-631},
  doi       = {10.1109/WACV.2017.75},
  url       = {https://mlanthology.org/wacv/2017/muller2017wacv-flowdometry/}
}