Vehicle-to-vehicle communication system based on LED vehicle lamp

Abstract

The invention relates to the field of internet of vehicles and intelligent driving, in particular to a vehicle-to-vehicle communication system based on an LED vehicle lamp. The vehicle-to-vehicle communication system comprises a CAN transceiver, a controller, an LED driver, the LED vehicle lamp, an optical receiver and a photoelectric converter. The CAN transceiver of a vehicle at the transmittingend resolves the vehicle speed, braking and steering information of a CAN message, the vehicle speed, braking and steering information of the CAN message is sent to the controller to be encoded to bea message, and the message controls the LED driver to drive the LED vehicle lamp to flicker through high and low levels; and the photoelectric converter of the vehicle at the receiving end converts an optical signal received by the optical receiver and including the vehicle speed, braking and steering information of the vehicle at the transmitting end to a level signal, the controller decodes thelevel signal, and the vehicle speed, braking and steering information of the vehicle are resolved, and then packed to be a CAN message to be sent to a vehicle body CAN bus of the vehicle at the receiving end through the CAN transceiver. According to the vehicle-to-vehicle communication system, vehicle-to-vehicle two-way transmission of a running state of the vehicle through the optical signal isachieved, data is accurate, and the practicability is high.

Description

technical field [0001] The invention relates to the field of Internet of Vehicles and intelligent driving, in particular to a vehicle-to-vehicle communication system based on LED lights, which uses headlights and taillights of automobiles and uses light transmission signals to realize communication between vehicles. Background technique [0002] At present, intelligent driving mainly uses radar and camera to identify the position of front and rear vehicles, and controls the speed, braking and direction of the vehicle according to the relative position of surrounding vehicles. However, since the vehicle is moving, the radar and the camera can only judge the current state, and cannot perform pre-judgment, which will lead to low real-time performance of vehicle control. Most of the current research focus is on the accuracy of radar and the processing ability of camera images, but only by receiving the motion information of adjacent vehicles can the real-time performance of auto...

AI Technical Summary

Problems solved by technology

[0003] The present invention aims at the problem in the prior art that the motion state of surrounding vehicles cannot be predicted through radar and camera, resulting in low real-time control of intelligent

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