Visual Odometry based on Pulse-Coupled Neural Network
Luis Armando Cruz Prospero, Luis Armando MejÃƒÂ­a-Lavalle
International Journal of Computational Linguistics Research, Vol. 8, No. 1, 2017.
DOI: 
Link: http://www.dline.info/jcl/fulltext/v8n1/jclv8n1_2.pdf
Abstract:
Visual Odometry novel technique is presented. It work through the abstraction of the information contained in
images in different times. Each pair of images is processed by a Pulse-Coupled Neural Network to perform the extraction
signature describing the scene and thereby estimating the position of a mobile robot in a route. The results of proposed
method is comparable with a traditional method.