November 28th, 2019

All about the IPCV-LAB's Visual Odometry Algorithm


The poster above in high resolution can be downloaded in the following link:


IAPR MVA-2017 poster Geovanni_Martinez Visual Odometry_IPCV-LAB.pdf


Published papers:

  1. G. Martinez, "Extending the Measurement Error Model of a Direct Visual Odometry Algorithm to Improve its Accuracy for Planetary Rover Navigation", IEEE International Conference on Applied Science and Advanced Technology (IEEE iSACAT 2019), Queretaro, Mexico, November 27-29, 2019.
  2. G. Martinez, "Experimental results of testing a direct monocular visual odometry algorithm outdoors on flat terrain under severe global illumination changes for Planetary Exploration Rovers", Computación y Sistemas, an International Journal of Computing Science and Applications, Vol. 22, No. 4,  pp. 1581-1593, 2018.
  3. G. Martinez, "Improving the Robustness of a Direct Visual Odometry Algorithm for Planetary Rovers", IEEE International Conference on Electrical Engineering, Computing Science and Automatic Control (IEEE CCE-2018), Mexico, City, Mexico, September 5-7, 2018.
  4. G. Martinez, "Field tests on flat ground of an Intensity-difference Based Monocular Visual Odometry Algorithm for Planetary Rovers", 15th IAPR International Conference on Machive Vision Applications (IAPR MVA-2017), Nagoya, Japan, May 08-12, 2017.
  5. G. Martinez, “Intensity-Difference Based Monocular Visual Odometry for Planetary Rovers”, New Development in Robot Vision, Book Series: Cognitive Systems Monographs, Vol. 23, Springer, ISBN: 978-3-662-43858-9, pages 1181-198, 2014.
  6. G. Martinez, "Monocular Visual Odometry from Frame to Frame Intensity Differences for Planetary Exploration Mobile Robots", IEEE Worshop on Robot Vision (IEEE WoRV), Tampa Bay, Florida, USA, 16-17 January, 2013.