Automatic driving system based on 5G vehicle-road cooperation

Abstract

The invention discloses an automatic driving system based on 5G vehicle-road cooperation. The system comprises: an automatic driving system used for obtaining vehicle attitude information, vehicle sensing environment information and a driving intention through a plurality of sensors disposed on a vehicle body, carrying out interaction with a roadside system and a cloud platform, and controlling the operation of the vehicle; the roadside system comprising a sensor group, an edge calculation unit and a roadside unit, wherein the sensor group is used for acquiring road information and meteorological data of a local scene, the edge calculation unit is used for receiving and processing the sensing data of sensors and acquiring map information and road condition information of the local scene, and the roadside unit is used for uploading the map information and the road condition information, and issuing a business task and a cooperative scheduling instruction to the automatic driving system; and the cloud platform used for globally carrying out decision planning on the road and vehicle operation in the local scene. According to the invention, automatic driving is reliably realized, and the dependence of the passenger car on a high-precision sensor is effectively reduced.

Description

technical field [0001] The invention relates to the technical field of vehicle automatic driving, in particular to an automatic driving system based on 5G vehicle-road coordination. Background technique [0002] The passenger car industry involves public transportation, which is a transportation mode that the state encourages and develops first. Self-driving buses are equipped with advanced on-board sensors, controllers, actuators and other devices, and integrate modern communication and network technologies to realize intelligent information exchange and sharing between vehicles and X (vehicles, roads, people, clouds, etc.), and have complex environment perception , intelligent decision-making, collaborative control and other functions can realize "safe, efficient, comfortable and energy-saving" driving, which plays a vital role in reducing traffic safety accidents, improving traffic travel efficiency and improving urban environmental pollution. [0003] But at this stage,...

AI Technical Summary

Problems solved by technology

[0003] But at this stage, most of the self-driving buses are based on the technical solution of single-vehicle intelligence to realize the automatic driving function. The data further increases the requirements for computing power. In addition, extreme environments will interfere with the stability of sensors or cause decision-making lag of the automatic driving system, resulting in poor reliability and stability of autonomous driving buses.

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