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

Created by W.Langdon from gp-bibliography.bib Revision:1.8129

@InProceedings{Radvanyi:2009:ECCTD,

• 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

Citations