Roadside unit-based mobile edge computing method, device and storage medium for autonomous driving

Abstract

The present invention relates to a roadside unit-based automatic driving mobile edge computing method, equipment, and storage medium, including: Step S1. Arrange a plurality of roadside units for network communication at equal intervals along the side of the road, and control each roadside Each unit is networked with the vehicles within its communication range; Step S2. Based on the mobile edge computing architecture, establish a local MEC server and a core network located in the cloud; Step S3. Control each roadside unit to periodically obtain the networked vehicle with it The speed of the vehicle is directly uploaded to the core network; Step S4. Control each roadside unit to obtain the driving image of the vehicle connected with it and temporarily store it in the MEC server. When the MEC server receives the driving image, it triggers the acquisition of the driving image to capture the current state of the vehicle. Speed, and selectively upload driving images to the core network according to the current speed. The present invention guarantees the timeliness of vehicle speed update through the distributed processing of calculation amount, ensures high-speed communication of road network monitoring data, and realizes ultra-low time delay.

Description

technical field [0001] The present invention relates to the field of automatic driving, in particular to a roadside unit-based automatic driving mobile edge computing method, device, and storage medium. Background technique [0002] In the current 4G era, each terminal communicates based on the traditional cloud computing model, which puts all computing tasks in the cloud for centralized processing, and the terminal only performs output and input. In the case of a small amount of data transmission in the mobile communication network in the 4G era, this There is no problem with the mode, but with the advent of the 5G era, the increase in network bandwidth can be expected to bring about a surge in data volume. At this time, if a single cloud computing mode is still adopted, the data communication speed will not be guaranteed. Based on this, Mobile Edge Computing (Mobile Edge Computing) came into being, which can improve data communication speed and ensure super Low latency, s...

AI Technical Summary

Problems solved by technology

[0002] In the current 4G era, each terminal communicates based on the traditional cloud computing model, which puts all computing tasks in the cloud for centralized processing, and the terminal only performs output and input. In the case of a small amount of data transmission in the mobile communication network in the 4G era, this There is no problem with the mode, but with the advent of the 5G era, the increase in network bandwidth can be expected to bring about a surge in data volume. At this time, if a single cloud computing mode is still used, the data communication speed will not be guaranteed

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