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

Created by W.Langdon from gp-bibliography.bib Revision:1.4221

  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
  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