Genetic Programming for Robot Vision
Created by W.Langdon from
gp-bibliography.bib Revision:1.8051
- @InProceedings{oai:CiteSeerPSU:547772,
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title = "Genetic Programming for Robot Vision",
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author = "Martin C. Martin",
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year = "2002",
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booktitle = "The Seventh International Conference on the Simulation
of Adaptive Behavior (SAB'02)",
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editor = "Bridget Hallam and Dario Floreano",
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address = "Edinburgh, UK",
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month = "9-11 " # aug,
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keywords = "genetic algorithms, genetic programming",
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citeseer-isreferencedby = "oai:CiteSeerPSU:90959",
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citeseer-references = "oai:CiteSeerPSU:218933; oai:CiteSeerPSU:57892;
oai:CiteSeerPSU:23206; oai:CiteSeerPSU:124886;
oai:CiteSeerPSU:50260; oai:CiteSeerPSU:212034;
oai:CiteSeerPSU:368283; oai:CiteSeerPSU:544929;
oai:CiteSeerPSU:40597; oai:CiteSeerPSU:14506;
oai:CiteSeerPSU:72759; oai:CiteSeerPSU:294737;
oai:CiteSeerPSU:26627; oai:CiteSeerPSU:295170",
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annote = "The Pennsylvania State University CiteSeer Archives",
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language = "en",
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oai = "oai:CiteSeerPSU:547772",
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rights = "unrestricted",
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URL = "
http://www.martincmartin.com/Dissertation/GeneticProgrammingForRobotVisionSAB2002Martin.pdf",
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URL = "
http://citeseer.ist.psu.edu/547772.html",
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abstract = "Genetic Programming was used to create the vision
subsystem of a reactive obstacle avoidance system for
an autonomous mobile robot. The representation of
algorithms was specifically chosen to capture the
spirit of existing, hand written vision algorithms.
Traditional computer vision operators such as Sobel
gradient magnitude, median filters and the Moravec
interest operator were combined arbitrarily. Images
from an office hallway were used as training data. The
evolved programs took a black and white camera image as
input and estimated the location of the lowest
non-ground pixel in a given column. The computed
estimates were then given to a handwritten obstacle
avoidance algorithm and used to control the robot in
real time. Evolved programs successfully navigated in
unstructured hallways, performing on par with
hand-crafted systems.",
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notes = "http://www.isab.org.uk/sab02/program/",
- }
Genetic Programming entries for
Martin C Martin
Citations
