Snowcat Track Detection in Snowy Environments

This paper describes the image processing techniques designed to localize tracks of snowcats for the Italian mission in Antarctica within the ENEA R.A.S. (Surface Antarctic Robot) project for the autonomous driving of intelligent snowcats. The final goal is to enable snowcats to automatically follow...

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Bibliographic Details
Main Authors: Alberto Broggi, Virginio Cantoni, Ugo Vallone, Alessandra Fascioli, Ugo Vallone Aless, Ra Fascioli
Other Authors: The Pennsylvania State University CiteSeerX Archives
Format: Text
Language:English
Published: 2001
Subjects:
Antarctic
Antarc*
Antarctica
Online Access:http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.22.9604
http://www.ce.unipr.it/people/broggi/publications/iv2001.pdf
Description
Summary:This paper describes the image processing techniques designed to localize tracks of snowcats for the Italian mission in Antarctica within the ENEA R.A.S. (Surface Antarctic Robot) project for the autonomous driving of intelligent snowcats. The final goal is to enable snowcats to automatically follow preceding ones. A camera is used to acquire images of the scene in realtime; the image sequence is analyzed by a computer vision system which identifies the tracks and produces a high level description of the scene. This data is forwarded to a further software module in charge of the control of the snowcat movement. A further optional representation, in which markers highlighting the tracks are superimposed onto the acquired image, is transmitted to a human supervisor located off-board. 1

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