Across-sensor tracking is an important technology to realize global perception in the field of next-generation intelligent transportation. However, identifying targets within an overlapping area and merging trajectories from different sensors remain challenging. Previous methods require high labor costs to manually identify an overlapping area and neglect the problem of noise and occlusion when data present inconsistency. To address these issues, this paper proposes a novel across-sensor tracking method at intersection. The proposed method adaptively identifies the target set for the overlapping area based on the Gaussian product of target states from two sensors and fuses trajectories based on Arithmetic Average algorithm. Additionally, the paper improves the birth model of the Poisson Multi-Bernoulli Mixture filter in order to handle complex intersection situations. Extensive simulation and real-world experiments evaluate the method's effectiveness, and its superior performance compared to previous methods.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Continuous Trajectory Tracking Across Sensors at Intersection using Dynamic Target Set within the Overlapping Area


    Contributors:
    Cheng, Xianning (author) / Deng, Jiayin (author) / Hu, Zhiqun (author) / Lu, Zhaoming (author) / Wen, Xiangming (author)


    Publication date :

    2023-09-24


    Size :

    2226557 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Cooperative Trajectory Planning for Multi-target Tracking Using Passive Sensors

    Yang, Xiwen / He, Shaoming / Lin, Defu et al. | TIBKAT | 2022


    Cooperative Trajectory Planning for Multi-target Tracking Using Passive Sensors

    Yang, Xiwen / He, Shaoming / Lin, Defu et al. | AIAA | 2022


    Vehicle trajectory prediction across non-overlapping camera networks

    Huang, Ching-Chun / Manh, Hung-Nguyen / Hwang, Tai-Hwei | IEEE | 2013


    Continuous Tracking within and across Camera Streams

    Kang, J. / Cohen, I. / Medioni, G. et al. | British Library Conference Proceedings | 2003


    Continuous tracking within and across camera streams

    Jinman Kang, / Cohen, I. / Medioni, G. | IEEE | 2003