Biologically inspired visual odometry based on the computational model of grid cells
A biologically inspired visual odometry based on the computational model of grid cells, which is developed based on the the source code of the computational model of grid cells: http://clm.utexas.edu/fietelab/code.htm, and LIBVISO2: http://www.cvlibs.net/software/libviso/, by Huimin Lu, Junhao Xiao, Lilian Zhang, Shaowu Yang, Andreas Zell at NUDT.
More details about the biologically inspired visual odometry can be found at: Huimin Lu, Junhao Xiao, Lilian Zhang, Shaowu Yang, Andreas Zell. Biologically Inspired Visual Odometry Based on the Computational Model of Grid Cells for Mobile Robots. Proceedings of the 2016 IEEE Conference on Robotics and Biomimetics, Qingdao, China, December 3~7, 2016.
The open source is on GitHub (@nubot-nudt) https://github.com/nubot-nudt/Biologically-Inspired-Visual-Odometry .
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