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    Data Registration with Ground Points for Roadside LiDAR Sensors 

    Yue, Rui; Xu, Hao; Wu, Jianqing; Sun, Renjuan; Yuan, Changwei (2019)
    The Light Detection and Ranging (LiDAR) sensors are being considered as new traffic infrastructure sensors to detect road users' trajectories for connected/autonomous vehicles and other traffic engineering applications. A ...
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    Deer Crossing Road Detection With Roadside LiDAR Sensor 

    Chen, Jingrong; Xu, Hao; Wu, Jianqing; Yue, Rui; Yuan, Changwei; Wang, Lu (2019)
    Deer crossing roads are a major concern of highway safety in rural and suburban areas in the United States. This paper provided an innovative approach to detecting deer crossing at highways using 3D light detection and ...
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    LiDAR-Enhanced Connected Infrastructures Sensing and Broadcasting High-Resolution Traffic Information Serving Smart Cities 

    Lv, Bin; Xu, Hao; Wu, Jianqing; Tian, Yuan; Zhang, Yongsheng; Zheng, Yichen; Yuan, Changwei; Tian, Sheng (2019)
    Connected-vehicle system is an important component of smart cities. The complete benefits of connected-vehicle technologies need the real-time information of all vehicles and other road users. However, the existing ...
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    Raster-Based Background Filtering for Roadside LiDAR Data 

    Lv, Bin; Xu, Hao; Wu, Jianqing; Tian, Yuan; Yuan, Changwei (2019)
    The roadside deployed light detecting and ranging (LiDAR) has been a solution to fill the data gap for the transition period from the unconnected-vehicles environment to the connected-vehicles system. For the roadside LiDAR ...