@article{2262,
  author = {Luis Armando Cruz Prospero, Luis Armando Mejía-Lavalle},
  title = {Visual Odometry based on Pulse-Coupled Neural Network},
  journal = {International Journal of Computational Linguistics Research},
  year = {2017},
  volume = {8},
  number = {1},
  doi = {},
  url = {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.},
}