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OnlineLearningGround

OnlineLearningGround (OLG) is a MATLAB program with c++ mex files for demonstrating a non-holonomic ground vehicle motion computation up to the scale via ground prediction/classification on the KITTI benchmark dataset. For details of the algorithm, please refer to the following related publication:

B. Lee, K. Daniilidis, and Daniel D. Lee (2015) Online self-supervised monocular visual odometry for ground vehicles, IEEE ICRA '15.

A video demonstration can be found at http://youtu.be/lpYHxgBTpxA

If you find this software useful or if you use this software for your research, we would be happy if you cite this publication.

Requirement

  • MATLAB (R2014 and up) with Image Processing Toolbox
  • Intel CPU msse3 supported

Tested only on Ubuntu 12.04, 14.04, 16.04

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Online Self-Supervised Monocular Visual Odometry for Ground Vehicles (ICRA15)

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