Onboard Evolutionary Risk Recognition System for Automobiles Toward the Risk Map System

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@Article{Ogawa:2007:TIE,
  author =       "Genya Ogawa and Katsuyuki Kise and Tsuyoshi Torii and 
                 Tomoharu Nagao",
  title =        "Onboard Evolutionary Risk Recognition System for
                 Automobiles Toward the Risk Map System",
  journal =      "IEEE Transactions on Industrial Electronics",
  year =         "2007",
  volume =       "54",
  number =       "2",
  pages =        "878--886",
  month =        apr,
  keywords =     "genetic algorithms, genetic programming, automobiles,
                 image recognition, risk analysis automobiles, human
                 recognition, image recognition processing, on board
                 camera system, pedestrian detection, risk map system,
                 risk recognition system, vehicle driving",
  DOI =          "doi:10.1109/TIE.2007.891654",
  ISSN =         "0278-0046",
  size =         "9 pages",
  abstract =     "To achieve a system that improves the safety and
                 comfort of the vehicle driving, a recognition system
                 equivalent to the human recognition ability should be
                 developed. However, the vehicle environment is
                 complicated and involves situations so diverse that a
                 uniform recognition processing approach cannot function
                 sufficiently. For a solution to this problem, we have
                 been studying a comprehensive risk recognition system,
                 which we call the risk map system, with learning
                 capability. As part of this paper, a system has been
                 developed that autonomously obtains the image
                 recognition processing. This paper presents a system as
                 an example that automatically learns through genetic
                 programming to obtain the image processing of
                 pedestrians and vehicles taken by an onboard camera
                 system",
  notes =        "picking out pedestrian silhouettes from 256 gray level
                 CCD image sequences (4 frames). ACTIT. bloat size
                 penalty. 500 generations. Fuji Heavy Industries Ltd.",
}

Genetic Programming entries for Genya Ogawa Katsuyuki Kise Tsuyoshi Torii Tomoharu Nagao

Citations