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Automatic driving mode intelligent switching system based on driver state monitoring

A technology of driver status and automatic driving, which is applied in the directions of driver input parameters, control devices, transportation and packaging, etc. It can solve problems such as potential safety hazards, fewer monitoring scopes and objects, and driver fatigue, so as to improve safety and reduce The effect on the probability of traffic accidents

Inactive Publication Date: 2019-04-02
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Existing automatic driving systems basically require the driver to turn on manually. In many cases, the driver’s hands may be temporarily removed from the steering wheel or Line of sight deviated from driving direction
Due to the time-consuming and cumbersome switching between the two driving modes of existing self-driving vehicles, many drivers will find it troublesome and unwilling to manually turn on the automatic driving system first, and then operate other equipment; There is a great security risk
[0006] Another problem is that driver distraction (such as looking around, talking to passengers, etc.) or driver fatigue will cause the vehicle to be in a short unmanned state, which will also lead to great safety hazards
Existing vehicles are generally not equipped with equipment to monitor the driver's state, and the existing driver monitoring equipment has a relatively small monitoring range and objects, and cannot accurately monitor the driver's state, which leads to distraction and fatigue when the driver is in a state of fatigue. , self-driving vehicles cannot take corresponding safety measures

Method used

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  • Automatic driving mode intelligent switching system based on driver state monitoring
  • Automatic driving mode intelligent switching system based on driver state monitoring
  • Automatic driving mode intelligent switching system based on driver state monitoring

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Embodiment 1

[0035] The first embodiment of the present invention proposes a driver state monitoring system, the flow of which is as follows figure 1 shown, including:

[0036] Step 101: Obtain the driver's face and head information in real time through the camera placed in the car facing the driver.

[0037] Step 102: The real-time image processing system 102 extracts facial features through facial information, and checks the driver's eye position, eye opening and closing, and nose position. It also checks the driver's head orientation.

[0038] Wherein, the real-time image processing system 102 includes:

[0039] Driver's face extraction module 107: its function is to extract the driver's face from the image acquired by the camera.

[0040] Facial feature extraction module 108: its function is to further extract more detailed facial features from the driver's facial image obtained in module 107, these features include: the position of two eyes, the opening and closing of eyes, the posi...

Embodiment 2

[0045]The second embodiment of the present invention proposes an image processing and image filtering method, the process of which is as follows figure 2 shown, including:

[0046] Step 201: As mentioned above, the driver status monitoring system includes a camera 101, and the camera 101 captures an image of the driver's face. The camera is connected to a real-time image processing device, and the image processing device performs face feature extraction and processing in step 201 through an image segmentation method based on edge detection. The specific process is as follows:

[0047] First, a 5x5 convolution kernel is used to spatially filter the input image pixel by pixel, in order to detect edges in the four directions of horizontal direction, +45 degrees, vertical direction and -45 degrees. A pixel's edge flag indicates the pixel's orientation in any of the four directions. A 64-dimensional feature vector is generated from the feature vector using the histogram of the ...

Embodiment 3

[0057] The third embodiment of the present invention proposes an intelligent switching system for automatic driving mode based on driver state detection, the process of which is as follows image 3 shown, including:

[0058] Step 301: Detect whether the driver status monitoring system sends a signal, if the driver status monitoring system does not send a signal, the step ends. Otherwise, further judgment is made on the received signal.

[0059] Step 302: Determine what kind of warning the signal in 301 is, and if it is a driver fatigue warning or a driver distraction warning, turn on the automatic driving system. Otherwise, the step ends.

[0060] The automatic driving mode intelligent switching system proposed by the embodiment of the present invention can be perfectly connected with the above-mentioned driver status monitoring system. Increase the safety of driving to a great extent and reduce the risk of driving.

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Abstract

The invention provides an automatic driving mode intelligent switching system based on driver state monitoring, and belongs to the technical field of automobile safety. The automatic driving mode intelligent switching system detects the state of a driver in real time through a driving state monitoring system, and automatically turns on an automatic driving system when detecting that the driver isin a fatigued state or a distracted driving state. Compared with the prior art, the automatic driving mode intelligent switching system can effectively prevent traffic accidents caused by driver fatigue and distraction, thereby improving driving safety.

Description

technical field [0001] The invention relates to the technical field of automobile safety, in particular to an automatic driving mode intelligent switching system based on driver state monitoring. Background technique [0002] Autopilot technology has always been a research hotspot for major automobile companies and institutions, striving to make vehicle driving easier and more humane. In order to improve the driving experience, many vehicles are now equipped with automatic driving systems. [0003] Self-driving vehicles (also known as driverless vehicles) typically have an autonomous driving mode and a manual driving mode. In the automatic driving mode, the control system of the vehicle has the right to control the vehicle, and controls the operation of the vehicle according to the information collected by the information collection device and the camera on the vehicle. In manual driving mode, the driver has control over the vehicle and controls the movement of the vehicle...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): B60W30/182B60W40/08B60W40/09
CPCB60W30/182B60W40/08B60W40/09B60W2040/0818B60W2540/26
Inventor 杨峰宋永端李瑞李鹏史林波李思雨潘盛涛
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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