This work demonstrates the potential use of Google Street View (GSV) in engineering measurements. An investigation was conducted to assess the geopositioning accuracy of traffic signs extracted from GSV. A direct linear transformation (DLT) model is used to establish the relationship between the GSV image coordinate system and the ground coordinate system with the aid of ground control points (GCPs). The ground coordinates of the traffic sign can be retrieved by using the solved DLT coefficients. It is found that the root-mean-square (RMS) error of the extracted traffic sign's location is less than 1 m in general. By increasing the number of GSV images and GCPs, the RMS error can be further reduced to 0.5 m or less. This preliminary study demonstrates a viable solution to extract the location of traffic signs from GSV.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Potential Accuracy of Traffic Signs' Positions Extracted From Google Street View


    Beteiligte:
    Wai Yeung Yan (Autor:in) / Shaker, A. (Autor:in) / Easa, S. (Autor:in)


    Erscheinungsdatum :

    01.06.2013


    Format / Umfang :

    1288098 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    TRAFFIC SIGN INVENTORY FROM GOOGLE STREET VIEW IMAGES

    V. J. D. Tsai / J.-H. Chen / H.-S. Huang | DOAJ | 2016

    Freier Zugriff

    Adequate street traffic signs

    Burch, J.S. | Engineering Index Backfile | 1940


    Forecasting Traffic Speed during Daytime from Google Street View Images using Deep Learning

    Jiao, Junfeng / Wang, Huihai | Transportation Research Record | 2023

    Freier Zugriff

    Street traffic signs, signals and markings

    Engineering Index Backfile | 1929