Crosswalks recognition through CNNs for the bionic camera: Manual vs. automatic design

Created by W.Langdon from gp-bibliography.bib Revision:1.4192

  author =       "Mihaly Radvanyi and Giovanni E. Pazienza and 
                 Kristof Karacs",
  title =        "Crosswalks recognition through CNNs for the bionic
                 camera: Manual vs. automatic design",
  booktitle =    "European Conference on Circuit Theory and Design.
                 ECCTD 2009",
  year =         "2009",
  month =        aug,
  pages =        "315--318",
  keywords =     "genetic algorithms, genetic programming, CNN,
                 accessible pedestrian signals, bionic camera, bionic
                 eyeglass, crosswalks recognition, mobile navigation,
                 pedestrian crosswalks, visually impaired people,
                 cameras, handicapped aids, mobile computing,
                 navigation, traffic engineering computing",
  DOI =          "doi:10.1109/ECCTD.2009.5274981",
  abstract =     "Although accessible pedestrian signals are more and
                 more frequent at crosswalks in busy intersections,
                 visually impaired people will not be able to get about
                 independently until the infrastructure reaches full
                 coverage on the routes they are using. In this paper,
                 we present algorithms to detect and recognize
                 pedestrian crosswalks developed in the framework of the
                 research to create a Bionic Eyeglass, a mobile
                 navigation and orientation device for blind and
                 visually impaired people. We compare the results of
                 manually designed algorithms with ones automatically
                 generated via Genetic Programming.",
  notes =        "Zebra crossings. Road junctions, Pedestrian crossing.
                 Also known as \cite{5274981}",

Genetic Programming entries for Mihaly Radvanyi Giovanni Egidio Pazienza Kristof Karacs