Visual Obstacle Avoidance Using Genetic Programming: First Results

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{martin2:2001:gecco,

• title = "Visual Obstacle Avoidance Using Genetic Programming: First Results",
• author = "Martin C. Martin",
• pages = "1107--1113",
• year = "2001",
• publisher = "Morgan Kaufmann",
• booktitle = "Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001)",
• editor = "Lee Spector and Erik D. Goodman and Annie Wu and W. B. Langdon and Hans-Michael Voigt and Mitsuo Gen and Sandip Sen and Marco Dorigo and Shahram Pezeshk and Max H. Garzon and Edmund Burke",
• address = "San Francisco, California, USA",
• publisher_address = "San Francisco, CA 94104, USA",
• month = "7-11 " # jul,
• keywords = "genetic algorithms, genetic programming, evolutionary robotics, Obstacle Avoidance, Computer Vision",
• ISBN = "1-55860-774-9",
• URL = "http://www.martincmartin.com/Dissertation/VisualObstacleAvoidanceGP.pdf",
• URL = "http://citeseer.ist.psu.edu/545038.html",
• URL = "http://gpbib.cs.ucl.ac.uk/gecco2001/d17.pdf",
• abstract = "Genetic Programming is used to create a reactive obstacle avoidance system for an autonomous mobile robot. The evolved programs take a black and white camera image as input and estimate the location of the lowest nonground pixel in a given column. Traditional computer vision operators such as Sobel gradient magnitude, median filters and the Moravec interest operator are combined arbitrarily. Five memory locations can also be read or written to. The first evolved program is now controlling the robot.",
• notes = "GECCO-2001 A joint meeting of the tenth International Conference on Genetic Algorithms (ICGA-2001) and the sixth Annual Genetic Programming Conference (GP-2001) Part of \cite{spector:2001:GECCO}",

}

Genetic Programming entries for Martin C Martin

Citations