A lightweight attention deep learning method for human-vehicle recognition based on wireless sensing technology

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SUMMARY

    INTELLIGENT Traffic Systems (ITS) is an important part of smart city (Santos et_al, 2018; Jin and Ma, 2019; Zhao et_al, 2019; Choy et_al, 2020; de Oliveira et_al, 2020), providing reliable, safe, and convenient services for road users (e_g, cars, motorcycle, pedestrians, etc.). To improve the performance of ITSs and relieve traffic pressure, the measurement of traffic parameters including road user behavior has become a research hotspot (Jiang et_al, 2021; Park et_al, 2021; Zhao and Huang, 2021). As the foundation of road user behavior detection, the accuracy of humanvehicle recognition determines the performance of traffic . . .

     

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