Driving mode switching method and system based on Internet of Vehicles, equipment and storage medium

Abstract

The invention provides a driving mode switching method and system based on the Internet of Vehicles, equipment and a storage medium. The method includes the following steps that an automatic driving module receives a navigation path based on a navigation map; at least one automatic driving area is established according to part of the navigation path overlapped with the high-precision map area in the navigation map, and at least one manual driving area is established according to the remaining navigation path; when driving into the automatic driving area on the navigation path, transmission connection between a steering wheel and a steering shaft of a vehicle is disconnected, and the steering shaft is driven only by the automatic driving module; and when the distance between the vehicle andthe manual driving area to be traversed is less than a preset threshold, the steering wheel drive is connected with the steering shaft of the vehicle in a transmission mode, the steering shaft is driven by the automatic driving module, and when the situation that the steering wheel is operated by external force is detected, the steering wheel is operated only by the external force to drive the steering shaft. The driving mode switching method and system can automatically switch or drive-assist at different boundary limits according to the high-precision map, and gives corresponding remindersto drivers, and the traffic safety is ensured.

Description

technical field [0001] The present invention relates to the field of automatic driving, in particular to a driving mode switching method, system, device and storage medium based on Internet of Vehicles. Background technique [0002] Self-driving vehicles (Autonomous vehicles; Self-driving automobile), also known as unmanned vehicles, computer-driven vehicles, or wheeled mobile robots, are intelligent vehicles that realize unmanned driving through computer systems. Self-driving cars rely on artificial intelligence, visual computing, radar, monitoring devices, and global positioning systems to work together to allow computers to automatically and safely operate motor vehicles without any active human intervention. [0003] A high-precision map refers to a high-precision, finely defined map, and its precision needs to reach the decimeter level to be able to distinguish each lane. Nowadays, with the development of positioning technology, high-precision positioning has become po...

AI Technical Summary

Problems solved by technology

[0008] However, after the driver sets the destination, not all roads can carry out automatic driving. It is affected by many factors such as sensors and road environment. Unclear understanding of the boundary to the misuse of various car accidents such as Tesla's AutoPIlot function; it is very necessary that when the driver has set a certain place on the navigation, the autopilot controller will give the driver which section according to a series of decision logic The section of the road where automatic driving can be turned on can assist driving to help the driver obtain sufficient driving responsibility information

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