Vehicles in the near future will be equipped with dedicated short-range communications (DSRC) transceiver which holds great promise of significantly reducing vehicle collisions by enabling vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications. In addition, modern vehicles will be equipped with different on-board sensors such as GPS receivers and ranging sensors (e.g., cameras, radars, and lidars). Using these technologies, this paper proposes a comprehensive system design to improve the positioning of a host vehicle based on Kalman filters. In this approach, the host vehicle fuses its own position information obtained by the on-board GPS receiver with position information of nearby vehicles collected by the on-board ranging sensor(s) and the messages received via the DSRC transceiver from other equipped vehicles. This process also involves performing track matching using a multi-sensor multi-target track association algorithm. We provide insights on the system design and present simulation results that show significant performance gains of the proposed method in terms of localization accuracy and matching accuracy.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Cooperative localization via DSRC and multi-sensor multi-target track association


    Contributors:


    Publication date :

    2016-11-01


    Size :

    457813 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Absolute Localization via DSRC Signal Strength

    Al-Stouhi, Samir / Miucic, Radovan | IEEE | 2016


    Cooperative Longitudinal Positioning at Intersections Using DSRC

    Zhang, Haiyang / Schaufele, Bernd / Hark, Johann Nikolai et al. | IEEE | 2018


    Clustering track pairs for multi-sensor track association

    IMRAN SYED ASIF | European Patent Office | 2024

    Free access


    Clustering Track Pairs for Multi-Sensor Track Association

    IMRAN SYED ASIF | European Patent Office | 2023

    Free access