Mars Terrain Image Classification using Cartesian Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{leitner2012marsterrain,
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author = "J. Leitner and S. Harding and A. Forster and
J. Schmidhuber",
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title = "Mars Terrain Image Classification using Cartesian
Genetic Programming",
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booktitle = "11th International Symposium on Artificial
Intelligence, Robotics and Automation in Space
(i-SAIRAS)",
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year = "2012",
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address = "Turin, Italy",
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month = "4-6 " # sep,
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organisation = "European Space Agency",
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keywords = "genetic algorithms, genetic programming, Cartesian
Genetic Programming",
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URL = "http://juxi.net/papers/isairas2012leitner.pdf",
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size = "8 pages",
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abstract = "Automatically classifying terrain such as rocks, sand
and gravel from images is a challenging machine vision
problem. In addition to human designed approaches, a
great deal of progress has been made using machine
learning techniques to perform classification from
images. In this work, we demonstrate the first known
use of Cartesian Genetic Programming (CGP) to this
problem.
Our CGP for Image Processing (CGP-IP) system quickly
learns classifiers and detectors for certain terrain
types. The learnt program outperforms currently used
techniques for classification tasks performed on a
panorama image collected by the Mars Exploration Rover
Spirit.",
-
date-added = "2012-05-28 16:31:09 +0200",
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date-modified = "2012-05-28 16:31:09 +0200",
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notes = "fitness = MCC, classify rocks, sand and gravel from
Mars.
Broken July 2020
http://robotics.estec.esa.int/i-SAIRAS/?q=node/6
http://robotics.estec.esa.int/i-SAIRAS/isairas2012/i-SAIRAS2012.pdf",
- }
Genetic Programming entries for
Juergen Leitner
Simon Harding
Alexander Forster
Jurgen Schmidhuber
Citations