Autonomous vehicles need a real-time traffic tracking system in order to interact with multiple moving vehicles in urban situations. Most existing works rely on camera sensors to interpret the surrounding environment. However, camera sensors degrade in conditions of lighting, shadows, and extreme weathers such that they can hardly detect objects. The light detection and ranging (LiDAR) sensors promise to be a good substitute, as they enable highly precise and robust localization across a wide range of conditions. This paper presents a new LiDAR-based online multiple maneuvering vehicle tracking problem and proposes a novel online multi-model smooth variable structure filter to address the problem. The real-time experiments show that our method is able to deliver superior performance compared to other conventional methods.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Online Multiple Maneuvering Vehicle Tracking System Based on Multi-Model Smooth Variable Structure Filter


    Contributors:


    Publication date :

    2020-02-01


    Size :

    4994212 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Variable Dimension Filter for Maneuvering Target Tracking

    Bar-Shalom, Y. / Birmiwal, K. | IEEE | 1982





    Enhanced variable dimension filter for maneuvering target tracking

    Cloutier, J.R. / Lin, C.-F. / Yang, C. | IEEE | 1993