Fatigue driving monitoring, reminding and early warning method and system based on computer vision technology

A computer vision and fatigue driving technology, applied in computer parts, calculations, alarms, etc., can solve problems such as misjudgment, poor real-time performance, and inadequate control of fatigue drivers, achieving good interference effects and reducing driving time , strong warning effect

Active Publication Date: 2021-08-06
XI'AN UNIVERSITY OF ARCHITECTURE AND TECHNOLOGY
View PDF6 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

There are two problems in this process: In the process of fatigue driving control, we cannot define the driver's fatigue state. See Article 62 of the "Road Traffic Safety Law Implementation Regulations" "Continuously driving a motor vehicle for more than 4 hours, halfway Driving without stopping for a rest or stopping for a rest for less than 20 minutes is considered fatigue driving
However, at present, the driving recorder in the car and the camera on the highway are still storing and calculating a large amount of invalid data. The existing monitoring methods generally have problems of poor real-time performance and misjudgment, which have great hidden dangers and loopholes.
[0004]Through the above analysis, it can be concluded that the problem of fatigue driving of expressway drivers is relatively serious at present, and the existing monitoring technology is not perfect enough, resulting in insufficient control of fatigue drivers in place

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Fatigue driving monitoring, reminding and early warning method and system based on computer vision technology
  • Fatigue driving monitoring, reminding and early warning method and system based on computer vision technology
  • Fatigue driving monitoring, reminding and early warning method and system based on computer vision technology

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0057] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0058] The invention assists the traffic management department to manage and control the fatigue drivers of the expressway from three aspects.

[0059] The first aspect starts from the perspective of the driver, placing an ordinary camera in the vehicle cab to collect real-time driving video information of the driver, such as the driver's fatigue characteristic state, and then calculates the driver's reasonable driving force through a certain algorithm through the built-in module of the camera. Fatigue value. Make a certain "disturbance" to the driver through the given fatigue value. This "disturbance" is given according to the driver's fatigue value to achieve the purpose of keeping the driver awake for a period of time and maintain the driver's arrival at the navigation given. rest area.

[0060] The second aspect starts from the perspectiv...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a fatigue driving monitoring, reminding and early warning method and system based on a computer vision technology, and the system comprises a fatigue value real-time monitoring system, a fatigue value automatic reminding system and a fatigue value information early warning system.The fatigue value real-time monitoring system is used for identifying the fatigue characteristic posture of the driver and obtaining a fatigue value grade according to the occurrence frequency of the fatigue feature posture and the driving time; the automatic fatigue value reminding system is used for receiving the fatigue value grade, obtaining real-time position information of the vehicle and reminding a driver of the corresponding grade according to the fatigue value grade; the fatigue value information early warning system is used for receiving the fatigue value grade information and the vehicle real-time position information to obtain a fatigue safety index, obtaining a fatigue road condition cloud picture according to the fatigue safety index, and sharing the fatigue road condition cloud picture to all traffic management departments and all drivers on the expressway for early warning. The condition of fatigue driving on the highway is reduced, and the hazard of traffic safety accidents caused by fatigue driving is reduced.

Description

technical field [0001] The invention belongs to the technical field of intelligent transportation, in particular to a method and system for monitoring, reminding and early warning of fatigue driving based on computer vision technology. Background technique [0002] Expressways have the advantages of convenience, rapidity, and direct access. The development of cities and the construction of expressways in economic regions have played a decisive role. However, the number of deaths due to traffic accidents has increased year by year, and traffic accidents caused by driver fatigue and other behaviors account for the majority. most. Cars not only bring great convenience to people's travel, especially the continuous development of the logistics industry, the rapid increase in the number of online shoppers, the sharp increase in the frequency and number of purchases, all of which have made the number of vehicles on the highway and the number of vehicles driving The duration has in...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G08B21/06G06K9/00
CPCG08B21/06G06V20/597B60N2/90B60N2002/981G06V40/103G08B25/08G08B27/006B60H1/00742B60H1/00785B60Q9/00G01C21/3476G01C21/3484G08G1/0112
Inventor 杨斌金大程刘朋举郭钰耀成孝刚李安桂
Owner XI'AN UNIVERSITY OF ARCHITECTURE AND TECHNOLOGY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products