SVO has been tested under ROS Groovy, Hydro and Indigo with Ubuntu 12.04, 13.04 and 14.04. This is research code, any fitness for a particular purpose is disclaimed.

Licence

The source code is released under a GPLv3 licence. A closed-source professional edition is available for commercial purposes. In this case, please contact the authors for further info.

Citing

If you use SVO in an academic context, please cite the following publication:

@inproceedings{Forster2014ICRA,
  author = {Forster, Christian and Pizzoli, Matia and Scaramuzza, Davide},
  title = {{SVO}: Fast Semi-Direct Monocular Visual Odometry},
  booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
  year = {2014}
}

Documentation

The API is documented here: http://uzh-rpg.github.io/rpg_svo/doc/ The GTSAM documentation https://gtsam.org/tutorials/

Instructions

See the Wiki for more instructions. https://github.com/uzh-rpg/rpg_svo/wiki and https://gtsam.org/get_started/

Contributing

You are very welcome to contribute to SVO by opening a pull request via Github. I try to follow the ROS C++ style guide http://wiki.ros.org/CppStyleGuide