Is depth information and optical flow helpful for visual control?

Created by W.Langdon from gp-bibliography.bib Revision:1.4496

  author =       "Johannes Hansen and Marc Ebner",
  title =        "Is depth information and optical flow helpful for
                 visual control?",
  journal =      "Bio-Algorithms and Med-Systems",
  year =         "2016",
  volume =       "12",
  number =       "1",
  pages =        "9--18",
  month =        mar,
  keywords =     "genetic algorithms, genetic programming, depth map,
                 optical flow, visual control, ECJ, game play",
  ISSN =         "1895-9091",
  publisher =    "De Gruyter, Berlin",
  DOI =          "doi:10.1515/bams-2015-0044",
  size =         "10 pages",
  abstract =     "The human visual system was shaped through natural
                 evolution. We have used artificial evolution to
                 investigate whether depth information and optical flow
                 are helpful for visual control. Our experiments were
                 carried out in simulation. The task was controlling a
                 simulated racing car. We have used The Open Racing Car
                 Simulator for our experiments. Genetic programming was
                 used to evolve visual algorithms that transform input
                 images (colour, optical flow, or depth information) to
                 control commands for a simulated racing car. We found
                 that significantly better solutions were found when
                 color, depth, and optical flow were available as input
                 together compared with colour, depth, or optical flow
  notes =        "openCV, torcs

                 p17 'in our experiments, we found that significantly
                 better results in driving a racing car along its track
                 are obtained when colour, depth, and optical flow are
                 provided together.'",

Genetic Programming entries for Johannes Hansen Marc Ebner