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Driver monitoring method and system based on structured light

A driver and structured light technology, applied to instruments, character and pattern recognition, signal devices, etc., can solve the problems of low accuracy and large errors, and achieve the effect of simplifying the detection algorithm

Pending Publication Date: 2021-04-30
福瑞泰克智能系统有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The inventive method utilizes the bagging algorithm to detect and analyze whether the driver is in a fatigue driving state. The accuracy of the method is low and the error is relatively large.

Method used

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  • Driver monitoring method and system based on structured light
  • Driver monitoring method and system based on structured light
  • Driver monitoring method and system based on structured light

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0031] figure 1 A logical processing block diagram of the driver's attention information detection system is illustrated.

[0032] like figure 1 The driver attention information detection system shown in this embodiment includes a structured light emitter and a detection device or sensor, such as a camera.

[0033] Step S101 The driver detection system is selected to be turned on.

[0034] Step S102 codes the structured light transmitter to send the structured light to the area where the driver is located. A structured light emitter emits light with a specific phase encoding, which includes but is not limited to temporal encoding, direct encoding, and spatial encoding.

[0035]Step S103 The sensor or camera receives the image information of the area where the driver is located, compares it with the signal phase when light is projected without an object, and obtains the phase difference at the same pixel position, and then calculates the coordinate information of the corresp...

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Abstract

The invention mainly describes a driver monitoring method which mainly comprises the steps of acquiring point cloud data of a monitored area, filtering the point cloud data, acquiring human face point cloud data, performing curve fitting on the face point cloud data, acquiring curve fitting data, extracting and estimating smooth point cloud data, and acquiring a normal direction of the smooth point cloud data. According to the obtained information, the face depth of the driver can be accurately sensed, the attention of the driver can be more accurately judged, the vehicle can be controlled in time through the auxiliary system, and corresponding warning information can be sent out in time.

Description

Technical field: [0001] The invention belongs to the technical field of driving fatigue detection, in particular to a method and system for driver fatigue detection and attention detection. Background technique: [0002] With the rapid development of the economy and the steady increase of national income, cars have gradually entered ordinary households, the number of road vehicles has increased rapidly, and road safety accidents are increasing. More methods are needed to reduce traffic accidents. On January 11 this year, the Ministry of Public Security announced that in 2018, there were 31.72 million newly registered motor vehicles nationwide, and the number of cars in the country exceeded 200 million for the first time in that year. In 2017, there were 203,049 traffic accidents nationwide, and the death toll reached 63,772. , the number of traffic deaths accounts for 70% of the national total, and the vast majority of traffic accidents are caused by inattention when driving...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/20G06K9/40B60Q9/00
CPCB60Q9/00G06V20/597G06V10/145G06V10/30
Inventor 王贤宇
Owner 福瑞泰克智能系统有限公司
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