CN206863768U - A kind of tired driver detection means based on steering wheel image - Google Patents
A kind of tired driver detection means based on steering wheel image Download PDFInfo
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- CN206863768U CN206863768U CN201720454816.0U CN201720454816U CN206863768U CN 206863768 U CN206863768 U CN 206863768U CN 201720454816 U CN201720454816 U CN 201720454816U CN 206863768 U CN206863768 U CN 206863768U
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- steering wheel
- camera
- center processor
- image
- detection means
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Abstract
The utility model is a kind of tired driver detection means based on steering wheel image, and present apparatus camera is installed on cab roof, and camera is connected with center processor；Center processor is also connected with alarm module.Center processor obtains steering wheel image according to camera, by characteristic point on steering wheel, tries to achieve the angle that present frame and next frame steering wheel rotate；It is poor to calculate the zero-speed percentage of steering wheel in certain period of time and angular standard；Judge whether current driver is in fatigue state according to the two indexs with prior art；Detect that driver is in fatigue state, center processor sends instructions to alarm module, the flicker of its alarm lamp or buzzer rings.The utility model is simple to operate, and measurement result is accurate, can calculate the steering wheel angle more than one week, and the scope of application is wider.
Description
Technical field
It the utility model is related to vehicle drivers fatigue detecting field, specially a kind of tired driver based on steering wheel image
Detection means.
Background technology
With increasing for vehicles number, traffic accident also continues to increase.Statistics shows that China is every year due to fatigue
The people of death toll caused by driving about 9000, huge personnel and property loss are brought to country.Statistics shows, driver
Traffic accident caused by fatigue accounts for 20% or so of traffic accident sum, accounts for more than the 40% of especially big traffic accident number.If energy
Early warning is given at initial stage caused by tired driver, then the generation of traffic accident will be reduced, it is significant to traffic safety.
Existing tired driver detection is much to be based on face technology, since it is desired that normal condition and tired shape to driver
Discriminant classification is identified in the feature of state, and hardware cost is higher, and algorithm is complicated, and live effect is poor, it is difficult to realize, and because of some departments
The fatigue of machine does not reflect especially in face, is influenceed by personal characteristics bigger.
Research finds that steering wheel angle data can reflect the mode of operation of driver in real time, when driver is in fatigue state,
Its perception to environment, judgement and actual manipulation ability can all decline, and its steering wheel angle directly manipulated can go out
Existing unusual fluctuations.
By the real-time change for detecting steering wheel angle, you can judge the fatigue state of driver.Wherein key is to direction
The measurement of disk corner.At present, the measuring method installing angle sensor of steering wheel angle, the anglec of rotation of measurement direction disk.Than
It is more representational such as Application No. 201310068176.6, entitled《Fatigue detection method based on steering wheel angle data
And detection means》Application for a patent for invention and Application No. 201510113007.9, entitled《Based on steering wheel angle information
Driver fatigue condition detection method》Application for a patent for invention, although their scheme has efficiently extracted steering wheel angle
Fatigue characteristic information and the fatigue state for effectively detecting driver, but there is also obvious problem：
1st, steering wheel angle sensor needs to be directly anchored on steering wheel for vehicle or is fixed on steering wheel shaft, corner
Sensor shield portions instrument board, the sight for the instrument that driver watches are blocked, the biography on another aspect steering wheel or its rotating shaft
Sensor influences normal driving operations it is also possible to the rotation of influence steering wheel；
2nd, existing steering wheel angle sensor does not have angle memory function, therefore when steering wheel turn ranges are more than one week
When, rotary angle transmitter can not obtain correct angle data；
3rd, steering wheel angle sensor installation difficulty, it usually needs steering wheel or rotating shaft are fixedly installed in before automobile dispatches from the factory
On, and be inconvenient to dismantle, transplantability is poor, can not meet the needs of existing vehicle drivers fatigue state detection.
The Application No. 201210343216.9 occurred again for this is entitled《A kind of steering wheel for vehicle corner based on image
Detection method and detection means》Scheme, it pastes two kinds of marks at the back side of steering wheel without installation direction disk rotary angle transmitter
Note patch and tag line, with steering wheel original state image compared with the image after rotating, are calculated steering wheel angle.But its
Mark is excessively cumbersome, and tag line has six steering wheel is divided into six areas, to paste the mark of triangle in each area by regulation
Patch and arc mark patch, implement more difficult；In steering wheel back side binding mark, light is poor, influences image definition, and driver holds
Meeting shield portions mark, also influences Detection results when steering wheel operation.Therefore also it is difficult to practicality.
Traditional tired driver based on steering wheel angle information differentiates it is to use fisher linear discriminant algorithms, the method
The traveling of vehicle is considered as straight-line travelling, using angular standard difference σ and zero-speed percentage PNS the two indexs, with fisher lines
Property distinguished number differentiate driver fatigue state.But the actual travel of vehicle walk serpentine, overtake other vehicles lane change situations such as.With angle
It is substantially unreasonable as the standards for judging fatigue more than 1.2 ° to spend standard deviation sigma.Therefore traditional department based on steering wheel angle information
Machine fatigue method of discrimination accuracy rate is not high.
Have not yet to see its a kind of effective simple and easy tired driver condition checkout gear based on image.
Utility model content
The purpose of this utility model is to propose a kind of tired driver detection means based on steering wheel image, including at center
Reason device, camera and alarm module, camera are installed on the top in driver's cabin, and steering wheel is in the view-finder of camera,
The vision signal output line of camera and the center processor of the present apparatus connect；Center processor is also connected with alarm module.Shooting
Head gathers steering wheel image in real time, is matched with realtime graphic by template image using template matching algorithm, is obtained by image procossing
To steering wheel rotational angle, calculate current zero-speed percentage and angular standard is poor, judge the state of current driver accordingly.The present apparatus
It is simple to operate, practical and accurate to driver's state-detection.
A kind of tired driver detection means based on steering wheel image of the utility model design, including center processor,
Camera and alarm module, the camera is installed on the top in driver's cabin, and above steering wheel, whole steering wheel is in
In the view-finder of camera, the vision signal output line of camera and the center processor of the present apparatus connect；The center processing
Device is furnished with memory module and power supply module, is also connected with alarm module, and the alarm module is alarm lamp or buzzer；
The center processor connects image processing module, image processing module connection camera through data transmission module.
Camera collection steering wheel image transmits the image processing module into center processor, and image processing module is to image
Video data is handled, and is sent into memory module storage through data transmission module, and extract data and be sent into center processor, center
Current steering wheel image compared with template image, is obtained current steering wheel rotational angle by processor, tries to achieve current zero-speed hundred
It is poorer than with angular standard to divide, and can determine whether current driver is in fatigue state according to the two indexs with prior art；Inspection
Measure driver and be in fatigue state, center processor sends instructions to alarm module, the flicker of its alarm lamp or buzzer rings.
The camera is installed on the N points for driving indoor top, and N points are in and indulged through the steering wheel center of circle, perpendicular to car body
The vertical guide rear of axle, and be less than or equal to 20cm with the distance of the vertical guide, N points with through the steering wheel center of circle, parallel to car
The distance of the vertical guide of the body longitudinal axis is less than or equal to 15cm.
Before vehicle launch, a blank sheet of paper is put below steering wheel, the projection of steering wheel is located on blank sheet of paper, and steering wheel is in
During static original state, camera collects the steering wheel image under the original state of white background；It is sent to center
Processor, center processor store this as initial pictures；To obtain clearly steering wheel initial pictures.
Compared with prior art, the advantages of a kind of tired driver detection means based on steering wheel image of the utility model
For：1st, it is simple to operate, steering wheel angle is detected in real time according to the realtime graphic of steering wheel, measurement result is accurate, and works as
When the angle that steering wheel rotates is more than one week, the angle of steering wheel rotation can also be obtained；2nd, camera is installed on top, does not hinder
The sight that gear driver watches the instruments, nor affects on the rotation of steering wheel, the normal driving of driver is hindered；3rd, center processor is adopted
With ripe software processing image, practicality is good, and the scope of application is wider, is no longer limited to the tired driver in the case of straight-line travelling
Condition discrimination；4th, camera easy installation and removal, transplantability is strong, and practicality is good, can be installed on existing various vehicles, satisfaction department
The needs of machine fatigue detecting.
Brief description of the drawings
Fig. 1 is the camera and steering wheel installation relation based on the tired driver detection means embodiment of steering wheel image
Schematic diagram；
Fig. 2 is the tired driver structure of the detecting device block diagram based on steering wheel image.
In figure：
1- steering wheel 2- cameras.
Embodiment
Specific embodiment of the present utility model is described in further detail below in conjunction with the accompanying drawings.
Based on the tired driver detection means embodiment of steering wheel image, including center processor, camera and alarm
Module, as shown in figure 1, camera is installed on the top in driver's cabin, above steering wheel, whole steering wheel is in camera
View-finder in, the center processor of the vision signal output line of camera and the present apparatus connects；Transmit acquired image number
According to.
As shown in figure 1, camera is installed on the N points for driving indoor top, this example N points are in through the steering wheel center of circle, hung down
Directly in the vertical guide rear of the car body longitudinal axis, and be 15cm with the distance of the vertical guide, N points with through the steering wheel center of circle, parallel to
The distance of the vertical guide of the car body longitudinal axis is 5cm.
As shown in Fig. 2 this example center processor is furnished with memory module and power supply module, alarm module is also connected with, in this reality
Apply alarm module in example and use buzzer.
This example center processor connects image processing module through data transmission module.Image processing module connects camera,
The steering wheel image of camera collection is sent to image processing module.Image processing module is handled image/video data,
Memory module storage is sent into through data transmission module, and extracts data and is sent into center processor, center processor will work as front direction
Disk image obtains current steering wheel rotational angle θ compared with template image, tries to achieve current zero-speed percentage PNS and angle mark
Accurate poor σ, judges whether current driver is in fatigue state with prior art according to the two indexs；Detect that driver is in tired
Labor state, center processor send instructions to alarm module, its buzzer rings.
Above-described embodiment, only the purpose of this utility model, technical scheme and beneficial effect are further described
Specific case, the utility model are not limited to this.All any modifications made within scope of disclosure of the present utility model,
Equivalent substitution, improvement etc., are all contained within the scope of protection of the utility model.
Claims (3)
1. a kind of tired driver detection means based on steering wheel image, including center processor, camera and alarm module, its
It is characterised by：
The camera is installed on the top in driver's cabin, and above steering wheel, whole steering wheel is in finding a view for camera
Inframe, the vision signal output line of camera and the center processor of the present apparatus connect；The center processor is equipped with storage mould
Block and power supply module, are also connected with alarm module, and the alarm module is alarm lamp or buzzer；
The center processor connects image processing module, image processing module connection camera through data transmission module.
2. the tired driver detection means according to claim 1 based on steering wheel image, it is characterised in that：
The camera is installed on the N points for driving indoor top, and N points are in through the steering wheel center of circle, perpendicular to the car body longitudinal axis
Vertical guide rear, and it is less than or equal to 20cm with the distance of the vertical guide, N points through the steering wheel center of circle, parallel to car body with indulging
The distance of the vertical guide of axle is less than or equal to 15cm.
3. the tired driver detection means according to claim 1 based on steering wheel image, it is characterised in that：
When camera gathers steering wheel initial pictures, there is a blank sheet of paper below steering wheel, the projection of steering wheel is located at blank sheet of paper
On.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201720454816.0U CN206863768U (en) | 2017-04-26 | 2017-04-26 | A kind of tired driver detection means based on steering wheel image |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201720454816.0U CN206863768U (en) | 2017-04-26 | 2017-04-26 | A kind of tired driver detection means based on steering wheel image |
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| CN206863768U true CN206863768U (en) | 2018-01-09 |
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| CN201720454816.0U Expired - Fee Related CN206863768U (en) | 2017-04-26 | 2017-04-26 | A kind of tired driver detection means based on steering wheel image |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111986488A (en) * | 2020-09-14 | 2020-11-24 | 湖南三一中型起重机械有限公司 | Fatigue driving detection method and device, electronic equipment and storage medium |
| CN112329731A (en) * | 2020-11-27 | 2021-02-05 | 华南理工大学 | Operation behavior detection method and system for forklift driver practical operation examination and coaching |
| CN113076874A (en) * | 2021-04-01 | 2021-07-06 | 安徽嘻哈网络技术有限公司 | Steering wheel angle detection system |
-
2017
- 2017-04-26 CN CN201720454816.0U patent/CN206863768U/en not_active Expired - Fee Related
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111986488A (en) * | 2020-09-14 | 2020-11-24 | 湖南三一中型起重机械有限公司 | Fatigue driving detection method and device, electronic equipment and storage medium |
| CN111986488B (en) * | 2020-09-14 | 2021-11-30 | 湖南三一中型起重机械有限公司 | Fatigue driving detection method and device, electronic equipment and storage medium |
| CN112329731A (en) * | 2020-11-27 | 2021-02-05 | 华南理工大学 | Operation behavior detection method and system for forklift driver practical operation examination and coaching |
| CN112329731B (en) * | 2020-11-27 | 2023-09-05 | 华南理工大学 | Operation behavior detection method and system for forklift driver real operation assessment and coaching |
| CN113076874A (en) * | 2021-04-01 | 2021-07-06 | 安徽嘻哈网络技术有限公司 | Steering wheel angle detection system |
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| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20180109 Termination date: 20210426 |