I’m pleased to share another demonstration video of our stereo visual odometry algorithm, primarily developed by my student Mohamed Aladem who is wrapping up his master’s at the University of Michigan – Dearborn. Near term goals for our lab using this framework are: navigating mobile robots (namely an autonomous snowplow for the ION Autonomous Snowplow Competition – see previous post to this one), navigating a multi-copter, and explore solutions for automotive driver assistance systems and future autonomous vehicles.
Publications:
- Mohamed Aladem, Samir Rawashdeh, Nathir Rawashdeh, “Evaluation of a Stereo Visual Odometry Algorithm for Road Vehicle Navigation”, SAE World Congress, April 2017 Detroit, MI
- S. A. Rawashdeh, M. Aladem, “Toward Autonomous Stereo-Vision Control of Micro Aerial Vehicles”, Proceedings of the IEEE National Aerospace and Electronics Conference, July 2016, Dayton, OH
- Journal article pending.