Abstract

To enhance the road intelligent ability and enable it actively perceive vehicles, an architecture based on Multi-access Computing (MEC) technology and lidar equipment is designed. Firstly, the full coverage of regional perception is realized through multi-lidar combination. The point cloud data of traffic participants sensed by lidar is analyzed in real time by edge computing unit. After processing, the structured data of traffic participants are obtained, which are transmitted to visual interface through middleware system. At the same time, the virtual ID and physical ID of the traffic participants are matched through manual or dynamic pairing scheme, so that the administrators of the closed area can accurately obtain the track information of traffic participants without the OBUs.

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