An Evolutionary Approach to Visual Sensing for Vehicle Navigation

This paper presents an evolutionary approach able to process a digital image and detect tracks left by preceding vehicles on ice and snow in Antarctica. Biologically inspired by a colony of ants able to interact and cooperate to determine the shortest path to the food, this approach is based on auto...

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Bibliographic Details
Main Authors: Alberto Broggi, Associate Member, Massimo Cellario, Paolo Lombardi, Marco Porta
Other Authors: The Pennsylvania State University CiteSeerX Archives
Format: Text
Language:English
Published: 2003
Subjects:
Antarc*
Antarctica
Online Access:http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.9.1115
http://www.ce.unipr.it/people/broggi/publications/ieee.trans.ie.pdf
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Summary:This paper presents an evolutionary approach able to process a digital image and detect tracks left by preceding vehicles on ice and snow in Antarctica. Biologically inspired by a colony of ants able to interact and cooperate to determine the shortest path to the food, this approach is based on autonomous agents moving along the image pixels and iteratively improving an initial coarse solution.

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