• DocumentCode
    3081427
  • Title

    Combined generation of road marking and road sign databases applied to consistency checking of pedestrian crossings

  • Author

    Hazelhoff, Lykele ; Creusen, Ivo ; Woudsma, Thomas ; Xinfeng Bao ; de With, Peter H. N.

  • Author_Institution
    CycloMedia Technol. B.V., Zaltbommel, Netherlands
  • fYear
    2015
  • fDate
    18-22 May 2015
  • Firstpage
    439
  • Lastpage
    442
  • Abstract
    Combined road marking and traffic sign databases are beneficial for both road maintenance and for usage within navigation devices and autonomous driving vehicles. The combination of both markings and signs completely provides all instructions and legislation for drivers. This paper presents a conceptual system for the automated creation of such combined databases and investigates the benefit of this combination for the specific case of pedestrian crossings. Evaluations on 62 km of road have shown that individual detection of road signs and markings indicating pedestrian crossings is very accurate (≥ 95%), enabling selective safety analysis towards these specific locations. Combining both approaches enables very accurate identification of crosswalks and additionally leads to the retrieval of crossings with undetectable markings or signs, such that maintenance can be directed specifically towards these potentially dangerous crosswalks.
  • Keywords
    computerised navigation; image recognition; image retrieval; intelligent transportation systems; legislation; pedestrians; road safety; road vehicles; traffic engineering computing; visual databases; autonomous driving vehicles; crosswalks; distance 62 km; navigation devices; pedestrian crossings; road maintenance; road marking; road sign databases; safety analysis; Databases; Feature extraction; Image recognition; Roads; Safety; Three-dimensional displays; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Vision Applications (MVA), 2015 14th IAPR International Conference on
  • Conference_Location
    Tokyo
  • Type

    conf

  • DOI
    10.1109/MVA.2015.7153105
  • Filename
    7153105