Urban positioning using the Global Positioning System (GPS) is challenging because of multipath. Urban canyons limit open sky visibility, and cause signal reflection and diffraction, resulting in significant satellite range measurement errors. The investigations reported here have been carried out in a French project called Inturb (an acronym derived from integrity and urban positioning). So far, the project has had two phases: first, a simple Three-Dimensional (3D) geometrical city modelling, called "Urban Trench", has been developed and engineered manually from data sets collected in different cities. Positioning improvement in terms of accuracy was quantified where the model could be applied. Second, this modelling has been automated, based on the standard national BD Topo ® map database for France, with promising results. This geometrical modelling makes it possible to distinguish between line-of-sight satellite signals and those from non-line-of-sight. The latter, apparently bona fide, signals are caused by strong reflections, usually from buildings with a lot of steel and glass in their construction. A correction of the pseudo-range measurements of the latter is also computed and applied in the position estimator. Positioning accuracy is improved, whilst availability is kept at its maximum. In the study both manual and automatic 3D models are used in extensive experimental campaigns. Results are: first, the possibility to cover entirely any urban area in the country; second, the reduction of the median error in 3D by more than 50% on data collected in Nantes, Paris and Toulouse for a total duration of nearly ten hours; third, the compliance with standards used in most embedded maps and geographical information systems, including an assessment of the trade-off between the model simplicity and the positioning improvement.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Applying Standard Digital Map Data in Map-aided, Lane-level GNSS Location



    Published in:

    Publication date :

    2015




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English



    Classification :

    BKL:    53.84 Ortungstechnik, Radartechnik / 53.84 / 55.54 Flugführung / 42.89 / 55.20 / 55.44 / 55.86 / 55.54 / 55.86 Schiffsverkehr, Schifffahrt / 55.20 Straßenfahrzeugtechnik / 42.89 Zoologie: Sonstiges / 55.44 Schiffsführung
    Local classification TIB:    275/5680/7035



    Vehicular Lane-Level Positioning using Low-Cost Map-Aided GNSS/MEMS IMU Sensors Integration

    Atia, Mohamed M. / Hilal, Allaa | British Library Conference Proceedings | 2018



    GNSS/INS-based vehicle lane-change estimation using IMM and lane-level road map

    Jiang Liu / Baigen Cai / Wang, Jian et al. | IEEE | 2013


    Eagleye: A Lane-Level Localization Using Low-Cost GNSS/IMU

    Takanose, Aoki / Kitsukawa, Yuki / Megruo, Junichi et al. | IEEE | 2021


    REVERSIBLE LANE ACTIVE DIRECTION DETECTION BASED ON GNSS PROBE DATA

    FOWE JAMES / PELLOLIO FILIPPO / RADOMY SAM | European Patent Office | 2018

    Free access