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<record>
  <title>Visual Odometry based on Pulse-Coupled Neural Network</title>
  <journal>International Journal of Computational Linguistics Research</journal>
  <author>Luis Armando Cruz Prospero, Luis Armando MejÃ­a-Lavalle</author>
  <volume>8</volume>
  <issue>1</issue>
  <year>2017</year>
  <doi></doi>
  <url>http://www.dline.info/jcl/fulltext/v8n1/jclv8n1_2.pdf</url>
  <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.</abstract>
</record>
