TRR: Automatic Background Filtering Method for Roadside LiDAR Data

The high-resolution micro traffic data (HRMTD) of all roadway users is important for serving the connected-vehicle system in mixed traffic situations. The roadside LiDAR sensor gives a solution to providing HRMTD from real-time 3D point clouds of its scanned objects.

"Automatic Background Filtering Method for Roadside LiDAR Data" proposed an algorithm based on the spatial distribution of laser points, which filters both static and moving background efficiently.

From 2018, by Jianqing Wu, Hao Xu, Yuan Sun, Jianying Zheng, and Rui Yuethis, this study was 2019's fifth-most cited article from Transportation Research Record.