Automatic driving steering system based on BP neural network and safe distance line moving working condition and control method thereof

Abstract

The invention discloses an automatic driving steering system based on a BP neural network and a safe distance line moving working condition and a control method thereof. The automatic driving steeringsystem is composed of a data acquisition system, a safety early warning system, a neural network control system and an executing mechanism. The control method comprises the steps that environmental information and vehicle status information during vehicle driving are acquired through the data acquisition system, the acquired environmental information and vehicle status information are input intothe safety early warning system to determine whether a vehicle needs lateral maneuvering to avoid risk or not, when the lateral maneuvering is needed, the acquired information is input into a neural network control model, and the neural network control model is used for obtaining the required maneuvering input of the vehicle; and finally, the obtained manipulating input is used for controlling theexecuting mechanism to complete the control task. The automatic driving steering system meets the driving requirements of the automatic driving vehicle and can continuously learn and improve in the actual process. The control system improves the safety and rapidity of longitudinal and lateral movement.

Description

technical field [0001] The invention belongs to the technical field of automatic driving control systems for intelligent vehicles, and in particular relates to an automatic driving steering system and a control method thereof based on a BP neural network and a safety distance shifting working condition. Background technique [0002] With the rapid development of the economy in recent years, the number of cars in my country has increased year by year, urban road congestion, frequent traffic accidents, etc. have become a major problem in my country's road safety control. In the analysis of traffic accidents, the driver is undoubtedly the weakest link in the human-vehicle-road link. Therefore, reducing the driver's impact on driving safety has become everyone's primary consideration. Based on this, the development of self-driving cars has become a goal pursued by major companies. [0003] However, the autonomous driving technology currently available on the market is still in...

AI Technical Summary

Problems solved by technology

[0003] However, the autonomous driving technology currently available on the market is still in its infancy, and there are some shortcomings

On the one hand, its degree of automatic driving is low, and it only controls the longitudinal speed of the vehicle, and cannot realize the coordinated control of vehicle steering, acceleration and deceleration, and cannot realize the lateral control function of the vehicle; "driver model to control the car, but due to the differences in the preview time and reaction time of different drivers, it is difficult to establish a unified driver model to solve the different driver's manipulation input

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