V2X Holographic Road Perception System Based on Microwave Radar Sensor

2021-12-24 739

V2X-based microwave radar sensor system holographic road perception system, the core technology of vehicle networking C-V2X is: roadside intelligence, low communication delay, improved traffic safety; auxiliary automatic driving, the typical function of V2X is To improve transportation efficiency, unmanned driving must be autonomous and intelligent driving of cars, vehicle-road coordination, and three precise maps have three coordinations. Autonomous intelligence is to make the car smarter, and vehicle coordination is to make the captain "clair eyes and ears", height The precise map turns the car into an experienced "veteran driver", and the cooperation of the three aspects can make intelligent driving easier to land.


At present, road traffic control is mostly based on video systems and microwave speed sensors to achieve global detection and positioning (vectorization) of road targets. Both the "traffic brain" at this stage or the future vehicle-road collaboration are based on all road targets that need to be quantified in real time. This paper proposes a global vectorized traffic big data algorithm, which realizes the correct analysis and management of traffic. V2X vehicle-road collaboration is based on global vectorized targets, which can predict the occurrence of danger and notify autonomous vehicles through the car network.


In order to solve the above problems, this paper proposes a high-resolution roadside mine vision fusion intelligent detection scheme based on microwave radar sensor.


Using microwave radar sensing and networking to achieve full road coverage. On this basis, through active discovery, identification and tracking, the vectorization of all targets on the road is realized. Observe all objects on the road with God’s eyes, including all kinds of cars, two-wheeled vehicles, pedestrians, and movable objects. Roadside microwave radar sensors have the advantages of all-weather, full-time coverage, and low vector quantization cost.