Unmanned driving control method based on GPS positioning and 5G technology

Abstract

The invention discloses an unmanned driving control method based on GPS positioning and a 5G technology. The unmanned driving control method comprises the steps that vehicle driving state data are collected through a sensing module arranged on a vehicle; receiving the state data through a state acquisition module which is in communication connection with the sensing module, classifying the received state data through a state classification module which is connected with the state acquisition module, and classifying the driving state data of the vehicle into a road condition state and a vehicle body state; a parameter adjustment module receives classification data of the state classification module, compares the received road condition state and the vehicle body state with corresponding standard parameters, and calculates an error; and the calculated error data is transmitted to the driving module, the driving module adjusts the driving parameters according to the error data so as to operate and drive the vehicle to run, and compared with a traditional automatic driving technology, the method is finer and safer.

Description

technical field [0001] The invention relates to the field of unmanned driving technology, in particular to an unmanned driving control method based on GPS positioning and 5G technology. Background technique [0002] Driverless car is a kind of smart car, also known as wheeled mobile robot, which mainly relies on the computer system-based smart driver in the car to achieve the purpose of driverless driving. In real life, GPS positioning is mainly used for A technology for remote real-time location monitoring of moving people, pets, vehicles and equipment. [0003] GPS positioning is a positioning technology that combines GPS technology, wireless communication technology, image processing technology and GIS technology. The fifth generation mobile communication technology is a new generation of broadband mobile communication technology with the characteristics of high speed, low delay and large connection. Network infrastructure for human-machine-thing interconnection. [000...

AI Technical Summary

Problems solved by technology

[0004] The unmanned driving in the prior art mainly performs vehicle prediction and parameter control through camera imaging, which is not accurate enough, that is, the ability to extract road condition data and plan routes is poor, and it can only monitor the surrounding vehicles through cameras. Grabbing with the terrain conditions resulted in too much extracted data, and it was impossible to compare the road conditions and vehicle body states with standard parameters to calculate the error, and it was impossible to adjust the parameters of the driving module according to the error, resulting in unmanned driving. The accuracy is not enough, and it is prone to dangerous problems when the error is too large

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