Vehicle auxiliary driving control method, system, equipment and medium

A technology of vehicle assistance and control methods, applied in the direction of reasoning methods, mechanical equipment, and fuzzy logic-based systems, etc., can solve the problems of critical safety distance adjustment, single function, and poor practicability of driving assistance systems, so as to improve accuracy and effectiveness High performance, guaranteed control accuracy, and low computational complexity

Pending Publication Date: 2022-04-15
SUN YAT SEN UNIV
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Problems solved by technology

[0004] However, the existing driving assistance system usually only considers the early warning problem during the driving of the vehicle, and exists independently of the vehicle control system. Its function cannot achieve the expected effect of intelligent control. The existing driving assistance system has the following problems:
[0005] (1) When calculating important parameters such as time to collision (TTC), the influence of driver fatigue on its reaction time is not considered, the function is relatively single, and the timing of activation is not accurate

Method used

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  • Vehicle auxiliary driving control method, system, equipment and medium
  • Vehicle auxiliary driving control method, system, equipment and medium
  • Vehicle auxiliary driving control method, system, equipment and medium

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[0056] The embodiments of the present invention will be specifically clarified in conjunction with the accompanying drawings. Restrictions, the present invention can be carried out in many changes in the spirit of the invention.

[0057] refer to figure 1 , The embodiment of the present invention provides a method of auxiliary driving control, such as figure 1 As shown, the method includes:

[0058] S1. Access the eye closure feature and nozzle opening feature based on the collected face image.

[0059] In one embodiment, the steps of acquiring eye closure feature and nozzle according to the acquired face image include:

[0060] Enter the collected face image into the neural network to obtain the driver's facial area;

[0061] Positioning facial features of the driver's facial area to obtain the driver's eye feature point and the mouth feature point;

[0062] By elliptical fitting of the driver's eye feature point and the mouth feature point, the number of closed eyes and the numb...

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Abstract

The invention relates to the technical field of intelligent automobiles, in particular to a vehicle auxiliary driving control method, system and device and a medium, and the method comprises the steps that the fatigue response time of a driver is obtained through the eye closing characteristic and the mouth opening characteristic; the expected speed of the host vehicle is obtained through the fatigue response time and the optimization prediction model; obtaining a control error of the nonsingular terminal sliding mode controller according to the expected speed and the actual speed of the host vehicle; determining a control law of a nonsingular terminal sliding mode controller according to the control error and the selected sliding mode approaching rate; and according to the control law, the expected torque and the expected brake pressure of the engine are obtained so as to perform brake control on the host vehicle. According to the method, vehicle aided driving work is achieved based on the driver fatigue degree and nonlinear model optimal prediction control, the problem that an existing vehicle aided driving control method lacks monitoring on the driver fatigue degree and adaptability is solved, and the adaptability of a system to different driver states is effectively improved.

Description

technical field [0001] The present invention relates to the technical field of smart cars, in particular to a vehicle auxiliary driving control method, system, equipment and medium. Background technique [0002] With the development of environmental perception and intelligent autonomous driving technology, the degree of automation of intelligent networked vehicles is increasing day by day. Among them, the development of intelligent vehicles is divided into four stages: autonomous driving assistance, networked assistance, human-machine co-driving, and highly automatic However, due to the consideration of environmental constraints, traffic safety, policy control and many other factors, the current ICV mainly uses the form of man-machine co-driving to complete the driving task, for example: in some specific scenarios, the driver Assistance systems control the vehicle jointly with the driver. The existing driving assistance systems mainly include: automatic parking system (APS)...

Claims

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Application Information

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IPC IPC(8): B60W40/08B60W40/09B60W40/10B60W40/105B60W10/06G06V20/59G06V40/70G06V10/82G06N3/04G06N5/04G06N7/02
CPCY02T10/40
Inventor 张荣辉王子涵
Owner SUN YAT SEN UNIV
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