Mobile Robot Sensor Fusion Using Flies

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "Amine M. Boumaza and Jean Louchet",
  title =        "Mobile Robot Sensor Fusion Using Flies",
  booktitle =    "Applications of Evolutionary Computing,
                 EvoWorkshops2003: Evo{BIO}, Evo{COP}, Evo{IASP},
                 Evo{MUSART}, Evo{ROB}, Evo{STIM}",
  year =         "2003",
  editor =       "G{\"u}nther R. Raidl and Stefano Cagnoni and 
                 Juan Jes\'us Romero Cardalda and David W. Corne and 
                 Jens Gottlieb and Agn\`es Guillot and Emma Hart and 
                 Colin G. Johnson and Elena Marchiori and Jean-Arcady Meyer and 
                 Martin Middendorf",
  volume =       "2611",
  series =       "LNCS",
  pages =        "357--367",
  address =      "University of Essex, England, UK",
  publisher_address = "Berlin",
  month =        "14-16 " # apr,
  organisation = "EvoNet",
  publisher =    "Springer-Verlag",
  keywords =     "genetic algorithms, genetic programming, evolutionary
                 computation, applications",
  isbn13 =       "978-3-540-00976-4",
  DOI =          "doi:10.1007/3-540-36605-9_33",
  abstract =     "The Fly algorithm is a fast artificial evolution-based
                 image processing technique. Previous work has shown how
                 to process stereo image sequences and use the evolving
                 population of 'flies' as a continuously updated
                 representation of the scene for obstacle avoidance in a
                 mobile robot. In this paper, we show that it is
                 possible to use several sensors providing independent
                 information sources on the surrounding scene and the
                 robot's position, and fuse them through the
                 introduction of corresponding additional terms into the
                 fitness function. This sensor fusion technique keeps
                 the main properties of the fly algorithm: asynchronous
                 processing. no low-level image pre-processing or costly
                 image segmentation, fast reaction to new events in the
                 scene. Simulation test results are presented.",
  notes =        "EvoWorkshops2003",

Genetic Programming entries for Amine M Boumaza Jean Louchet