Receiver modules in Global Navigation Satellite Systems (GNSS) are capable of providing positioning and velocity estimations that are sufficiently accurate for the purpose of road navigation. However, even in optimal open-sky conditions, GNSS-based positioning carries an average error of 2–4 m. This imposes an effective limitation on GNSS-based vehicle lane detection, a desired functionality for various navigation and safety applications. In this paper, we present a novel framework for lane-level accuracy using GNSS devices and 3-D shadow matching. The suggested framework is based on detection and analysis of rapid changes in navigation satellites' signal strength, which are caused by momentary blockages due to utility and light poles. A method for detecting such momentary changes between line of sight and non line of sight is presented, followed by a geometric algorithm that improves location accuracy of commercial GNSS devices. We have tested the framework's applicability using both simulations and field experiments. We provide the results of these tests and discuss receiver-side sampling rate requirements for high-performance lane-level positioning.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    GNSS Accuracy Improvement Using Rapid Shadow Transitions


    Contributors:


    Publication date :

    2014-06-01


    Size :

    1517994 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    VEHICLE MOTION ESTIMATION USING A LOW COST GNSS/IMU ACCURACY IMPROVEMENT BY IMU CORRECTION USING GNSS

    Takanose, Aoki / Atsumi, Yoshiki / Takikawa, Kanamu et al. | British Library Conference Proceedings | 2020


    GNSS Shadow Matching: Improving Urban Positioning Accuracy Using a 3D City Model with Optimized Visibility Scoring Scheme

    Wang, L. / Groves, P. D. / Ziebart, M. K. | British Library Online Contents | 2013


    A Robust Shadow Matching Algorithm for GNSS Positioning

    Yozevitch, Roi | Online Contents | 2015


    A Robust Shadow Matching Algorithm for GNSS Positioning

    Yozevitch, Roi | Online Contents | 2015