Evolutionary Optimisation for Obstacle Detection and Avoidance in Mobile Robotics

Bibtex entry :

@article { PLLF05,
    author = { Pauplin, O. and Louchet, J. and Lutton, E. and de La Fortelle, A. },
    title = { Evolutionary Optimisation for Obstacle Detection and Avoidance in Mobile Robotics },
    journal = { Journal of Advanced Computational Intelligence and Intelligent Informatics },
    year = { 2005 },
    volume = { 9 },
    pages = { 622-629 },
    number = { 6 },
    abstract = { This paper presents an artificial evolution-based method for stereo image analysis and its application to real-time obstacle detection and avoidance for a mobile robot. It uses the Parisian approach, which consists here in splitting the representation of the robot's environment into a large number of simple primitives, the "flies", which are evolved according to a biologically inspired scheme. Results obtained on real scene with different fitness functions are presented and discussed, and an exploitation for obstacle avoidance in mobile robotics is proposed. },
    affiliation = { IMARA [INRIA Rocquencourt] - COMPLEX [INRIA Rocquencourt] },
    owner = { La Fortelle },
    publisher = { Fuji Technology Press },
    timestamp = { 2007.12.03 },
    url = { http://hal.inria.fr/inria-00000495/fr/ },
}