Path prediction is the only way that an active safety system can predict a driver's intention. In this paper, a model-based description of the traffic environment is presented - both vehicles and infrastructure - in order to provide, in real time, sufficient information for an accurate prediction of the ego-vehicle's path. The proposed approach is a hierarchical-structured algorithm that fuses traffic environment data with car dynamics in order to accurately predict the trajectory of the ego-vehicle, allowing the active safety system to inform, warn the driver, or intervene when critical situations occur. The algorithms are tested with real data, under normal conditions, for collision warning (CW) and vision-enhancement applications. The results clearly show that this approach allows a dynamic situation and threat assessment and can enhance the capabilities of adaptive cruise control and CW functions by reducing the false alarm rate.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Sensor fusion for predicting vehicles' path for collision avoidance systems


    Beteiligte:
    Polychronopoulos, A. (Autor:in) / Tsogas, M. (Autor:in) / Amditis, A.J. (Autor:in) / Andreone, L. (Autor:in)


    Erscheinungsdatum :

    2007


    Format / Umfang :

    14 Seiten, 12 Quellen




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Print


    Sprache :

    Englisch





    Sensor Fusion for Predicting Vehicles' Path for Collision Avoidance Systems

    Polychronopoulos, A. / Tsogas, M. / Amditis, A.J. et al. | IEEE | 2007


    Collision Avoidance in Vehicles Using Ultrasonic Sensor

    Bhuvaneswary, N. / Jayapriya, V. / Mounika, V. et al. | Springer Verlag | 2021


    Converging path collision avoidance

    GOUDY ROY / PROBERT NEAL / CHAMBERS JEREMY et al. | Europäisches Patentamt | 2019

    Freier Zugriff

    Collision avoidance among vehicles

    LANGGOOD JOHN K / LEWIS THOMAS F / REINBERG KEVIN M et al. | Europäisches Patentamt | 2016

    Freier Zugriff