%0 Conference Paper %1 martin2:2001:gecco %A Martin, Martin C. %B Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001) %C San Francisco, California, USA %D 2001 %E Spector, Lee %E Goodman, Erik D. %E Wu, Annie %E Langdon, W. B. %E Voigt, Hans-Michael %E Gen, Mitsuo %E Sen, Sandip %E Dorigo, Marco %E Pezeshk, Shahram %E Garzon, Max H. %E Burke, Edmund %I Morgan Kaufmann %K Avoidance, Computer Obstacle Vision algorithms, evolutionary genetic programming, robotics, %P 1107--1113 %T Visual Obstacle Avoidance Using Genetic Programming: First Results %U http://www.cs.bham.ac.uk/~wbl/biblio/gecco2001/d17.pdf %X 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. %@ 1-55860-774-9

@inproceedings{martin2:2001:gecco, 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.}, added-at = {2008-06-19T17:35:00.000+0200}, address = {San Francisco, California, USA}, author = {Martin, Martin C.}, biburl = {https://www.bibsonomy.org/bibtex/2fec55febd0ba098d0698ce3a406781a5/brazovayeye}, booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001)}, editor = {Spector, Lee and Goodman, Erik D. and Wu, Annie and Langdon, W. B. and Voigt, Hans-Michael and Gen, Mitsuo and Sen, Sandip and Dorigo, Marco and Pezeshk, Shahram and Garzon, Max H. and Burke, Edmund}, interhash = {3a0430fc43721ccfe1866b3f2f302994}, intrahash = {fec55febd0ba098d0698ce3a406781a5}, isbn = {1-55860-774-9}, keywords = {Avoidance, Computer Obstacle Vision algorithms, evolutionary genetic programming, robotics,}, month = {7-11 July}, 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}}, pages = {1107--1113}, publisher = {Morgan Kaufmann}, publisher_address = {San Francisco, CA 94104, USA}, timestamp = {2008-06-19T17:46:23.000+0200}, title = {Visual Obstacle Avoidance Using Genetic Programming: First Results}, url = {http://www.cs.bham.ac.uk/~wbl/biblio/gecco2001/d17.pdf}, year = 2001 }