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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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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spelling ftciteseerx:oai:CiteSeerX.psu:10.1.1.9.1115 2023-05-15T13:48:36+02:00 An Evolutionary Approach to Visual Sensing for Vehicle Navigation Alberto Broggi Associate Member Massimo Cellario Paolo Lombardi Marco Porta The Pennsylvania State University CiteSeerX Archives 2003 application/pdf 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 en eng 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 Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://www.ce.unipr.it/people/broggi/publications/ieee.trans.ie.pdf text 2003 ftciteseerx 2016-01-08T19:41:45Z 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. Text Antarc* Antarctica Unknown
institution Open Polar
collection Unknown
op_collection_id ftciteseerx
language English
description 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.
author2 The Pennsylvania State University CiteSeerX Archives
format Text
author Alberto Broggi
Associate Member
Massimo Cellario
Paolo Lombardi
Marco Porta
spellingShingle Alberto Broggi
Associate Member
Massimo Cellario
Paolo Lombardi
Marco Porta
An Evolutionary Approach to Visual Sensing for Vehicle Navigation
author_facet Alberto Broggi
Associate Member
Massimo Cellario
Paolo Lombardi
Marco Porta
author_sort Alberto Broggi
title An Evolutionary Approach to Visual Sensing for Vehicle Navigation
title_short An Evolutionary Approach to Visual Sensing for Vehicle Navigation
title_full An Evolutionary Approach to Visual Sensing for Vehicle Navigation
title_fullStr An Evolutionary Approach to Visual Sensing for Vehicle Navigation
title_full_unstemmed An Evolutionary Approach to Visual Sensing for Vehicle Navigation
title_sort evolutionary approach to visual sensing for vehicle navigation
publishDate 2003
url 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
genre Antarc*
Antarctica
genre_facet Antarc*
Antarctica
op_source http://www.ce.unipr.it/people/broggi/publications/ieee.trans.ie.pdf
op_relation 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
op_rights Metadata may be used without restrictions as long as the oai identifier remains attached to it.
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