Cloud-based auxiliary driving control system and method

Abstract

The invention belongs to the technical field of automatic driving, particularly relates to a cloud-based auxiliary driving control system and method, and aims to solve the problem that one-to-many vehicle takeover control and scheduling cannot be realized when a driver operates a driving simulator to perform remote auxiliary driving control. The system comprises a cloud end arranged on a remote server and a vehicle end arranged on a controlled vehicle. The vehicle end is connected with the cloud end through a wireless communication link; the vehicle terminal is configured to obtain vehicle driving environment data and vehicle driving behavior data and send the vehicle driving environment data and the vehicle driving behavior data to the cloud terminal when switching to a remote control state based on the control state switching instruction, and obtain vehicle control data sent by the cloud terminal so as to control the vehicle; and the cloud terminal is configured to receive the vehicle driving environment data and the vehicle driving behavior data, acquire vehicle control data corresponding to the controlled vehicle based on a preset automatic driving control model, and send the vehicle control data to the corresponding vehicle terminal. According to the invention, one-to-many vehicle takeover control and scheduling are realized through the cloud.

Description

Technical field [0001] The invention belongs to the field of automatic driving technology, and specifically relates to a cloud-based auxiliary driving control system and method. Background technique [0002] In recent years, autonomous driving technology has developed rapidly. By transforming traditional vehicles with sensors such as cameras, lidars, and high-precision positioning devices, autonomous driving in simple environments can be realized. However, due to the limitations of the vehicle's own computing resources and power consumption, it is difficult for a single vehicle to process sensor data efficiently in real time for autonomous driving decision planning calculations, which limits the development of the single autonomous driving function. In addition, in some autonomous vehicles in specific scenarios, such as mines, ports, and long-distance logistics and transportation, often face complex road conditions, which makes individual vehicles unable to have the ability to dr...

AI Technical Summary

Problems solved by technology

[0005] In order to solve the above-mentioned problems in the prior art, that is, in order to solve the problem that the driver operates the driving simulator for remote assisted driving control and cannot realize the takeover control and scheduling of one-to-many vehicles, the first aspect of the present invention proposes a cloud-based An assisted driving control system, the system includes a cloud set on a remote server and a vehicle end set on a controlled vehicle; the vehicle end is connected to the cloud through a wireless communication link;

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