CN106218405A - Fatigue driving monitoring method and cloud server - Google Patents
Fatigue driving monitoring method and cloud server Download PDFInfo
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- CN106218405A CN106218405A CN201610666315.9A CN201610666315A CN106218405A CN 106218405 A CN106218405 A CN 106218405A CN 201610666315 A CN201610666315 A CN 201610666315A CN 106218405 A CN106218405 A CN 106218405A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60K—ARRANGEMENT OR MOUNTING OF PROPULSION UNITS OR OF TRANSMISSIONS IN VEHICLES; ARRANGEMENT OR MOUNTING OF PLURAL DIVERSE PRIME-MOVERS IN VEHICLES; AUXILIARY DRIVES FOR VEHICLES; INSTRUMENTATION OR DASHBOARDS FOR VEHICLES; ARRANGEMENTS IN CONNECTION WITH COOLING, AIR INTAKE, GAS EXHAUST OR FUEL SUPPLY OF PROPULSION UNITS IN VEHICLES
- B60K28/00—Safety devices for propulsion-unit control, specially adapted for, or arranged in, vehicles, e.g. preventing fuel supply or ignition in the event of potentially dangerous conditions
- B60K28/02—Safety devices for propulsion-unit control, specially adapted for, or arranged in, vehicles, e.g. preventing fuel supply or ignition in the event of potentially dangerous conditions responsive to conditions relating to the driver
- B60K28/06—Safety devices for propulsion-unit control, specially adapted for, or arranged in, vehicles, e.g. preventing fuel supply or ignition in the event of potentially dangerous conditions responsive to conditions relating to the driver responsive to incapacity of driver
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R16/00—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for
- B60R16/02—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements
- B60R16/023—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements for transmission of signals between vehicle parts or subsystems
- B60R16/0231—Circuits relating to the driving or the functioning of the vehicle
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- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Transportation (AREA)
- Automation & Control Theory (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
- Traffic Control Systems (AREA)
Abstract
The open a kind of fatigue driving monitoring method of the present invention and cloud server, this fatigue driving monitoring method includes receiving the fatigue state decision request that intelligent terminal sends, and described fatigue state decision request comprises the current sign information of driver；It is analyzed described current sign information processing, determines the driving condition of described driver；When determining that driver is currently at fatigue driving state, then generate control instruction according to described fatigue driving state, and send described control instruction to intelligent terminal.The fatigue state of driver can be monitored by the present invention, is once in driver tired driving, then force vehicle control device to perform control instruction, such as, make vehicle deceleration and stop；Thus it is inherently eliminated the potential safety hazard that fatigue driving brings.
Description
Technical field
The present invention relates to a kind of vehicle monitoring technical field, especially a kind of fatigue driving monitoring method and cloud service
Device.
Background technology
At present, along with the popularity of automobile is more and more higher, car steering factor the potential safety hazard brought the most more is come
The most.
How human pilot, on the run, causes the situation of Traffic Accidents to happen occasionally because of physical fatigue
The sleepy state such as weak that whether is in of human pilot can be grasped and controlled vehicle deceleration in time and stops and become urgently
Problem to be solved.
Prior art has and stops after driving a vehicle several hours continuously have a rest with warning or alerting pattern prompting human pilot
A period of time drives again, but this mode functions only as suggesting effect, and does not possess restraining forces, if human pilot is not realized
Taking the mode ignored, human pilot can not be forced to have a rest, potential safety hazard is difficult to eliminate.
Summary of the invention
The main object of the present invention is to provide a kind of fatigue driving monitoring method and cloud server, it is intended to fundamentally disappear
Except the potential safety hazard brought because of driver tired driving.
For achieving the above object, the fatigue driving monitoring method that the present invention proposes, comprise the following steps:
Receiving the fatigue state decision request that intelligent terminal sends, it is current that described fatigue state decision request comprises driver
Sign information；
It is analyzed described current sign information processing, determines the driving condition of described driver；
When determining that driver is currently at fatigue driving state, then generate control according to described fatigue driving state and refer to
Order, and send described control instruction to intelligent terminal.
Preferably, described when determining that driver is currently at fatigue driving state, then according to described fatigue driving state
Generate control instruction, and send described control instruction to intelligent terminal and include: when driver is currently at fatigue driving state,
The fatigue driving state of described driver is compared with default driving fatigue grade, sends and described default driving fatigue etc.
The control instruction that level is corresponding.
As preferred embodiment one, described current sign information is to comprise described driver head, face or hand
Video image, described be analyzed described current sign information processes, and determines that the driving condition of described driver includes:
Described video image is detected, positions the characteristic image in described video image；
Described characteristic image is analyzed, determines the characteristic information of described characteristic image；
The characteristic information of described characteristic image is compared with default statistical model, determines the driving shape of described driver
State；
Described sample data, as sample data, is analyzed by the characteristic image of collection predetermined number according to preset algorithm
After obtain described default statistical model.
As preferred embodiment two, described current sign information is to comprise described Variation of Drivers ' Heart Rate, breathing or blood pressure
Pulse signal；Described be analyzed described current sign information processes, and determines that the driving condition of described driver includes:
Described pulse signal is processed, and is converted to digital signal；
Judge that whether the value of described digital signal exceeds the duration of threshold value more than the first preset duration；
If the duration beyond threshold value is more than the first preset duration, it is judged that the driving condition of driver is fatigue driving shape
State.
The present invention also proposes a kind of fatigue driving monitoring method, comprises the following steps:
Gather the information comprising the current sign of driver；
The fatigue state decision request of sign information before deserving is comprised to cloud server transmission；
Described cloud server receives described fatigue state decision request, and described fatigue state decision request comprises driver
Current sign information；
It is analyzed described current sign information processing, determines the driving condition of described driver；
When determining that driver is currently at fatigue driving state, then generate control according to described fatigue driving state and refer to
Order；
Control instruction described in intelligent terminal for reception, and send this control instruction to vehicle control device.
The present invention also provides for a kind of cloud server, including:
Remotely receiving port, for receiving the fatigue state decision request that intelligent terminal sends, described fatigue state judges
Request comprises the information of the current sign of driver；
Judge module, for described current sign information is analyzed process, determines the driving condition of described driver；
Described instruction module, for when determining that driver is currently at fatigue driving state, according to described fatigue driving
State generates control instruction, and sends this control instruction to intelligent terminal.
Preferably, described instruction module also includes:
When determining that driver is currently at fatigue driving state, it is used for the fatigue driving state of described driver with pre-
If driving fatigue grade is compared, send the control instruction corresponding with described default driving fatigue grade.
As the presently preferred embodiments one, described current sign information is to comprise regarding of described driver head, face or hand
Frequently image, the most described judge module also includes:
Locator module, for detecting described video image, positions the characteristic image in described video image；
Analyze submodule, for described characteristic image is analyzed, determine the characteristic information of described characteristic image；
Determine submodule, for being compared with described default statistical model by described characteristic information, determine described driving
The driving condition of member.
As the presently preferred embodiments two, described current sign information is the arteries and veins comprising described Variation of Drivers ' Heart Rate, breathing or blood pressure
Rushing signal, the most described judge module includes:
Transform subblock, for processing described pulse signal, and is converted to digital signal；
Comparison sub-module, the most default more than first beyond the duration of threshold value for judging the value of described digital signal
Duration；
Judge submodule, be more than the first preset duration for exceeding the duration of threshold value in the value of described digital signal,
The driving condition judging driver is fatigue driving state.
In technical solution of the present invention, by comprising the information of the current sign of driver in intelligent vehicle-carried cell side collection, and
Send to cloud server, after cloud server receives this information, judge the most whether driver is in fatigue according to this information
State, and generate corresponding control instruction according to the grade of fatigue state, and send intelligent vehicle-carried unit to, intelligent terminal should
Control instruction is sent to vehicle control device, performs corresponding control instruction；Hereby it is possible to the fatigue state of driver is supervised
Control, is once in fatigue driving, then force vehicle control device to perform control instruction, such as, make vehicle deceleration and stop；Thus from
Fundamentally allaying tiredness drives the potential safety hazard brought.
Accompanying drawing explanation
In order to be illustrated more clearly that the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
In having technology to describe, the required accompanying drawing used is briefly described, it should be apparent that, the accompanying drawing in describing below is only this
Some embodiments of invention, for those of ordinary skill in the art, on the premise of not paying creative work, it is also possible to
Other accompanying drawing is obtained according to the structure shown in these accompanying drawings.
Fig. 1 is the module frame schematic diagram of cloud server one embodiment of the present invention；
Fig. 2 is the module frame schematic diagram of another embodiment of cloud server of the present invention；
Fig. 3 is the flow chart of fatigue driving monitoring method one embodiment of the present invention；
Fig. 4 is the module frame schematic diagram of cloud server another embodiment of the present invention.
The realization of the object of the invention, functional characteristics and advantage will in conjunction with the embodiments, are described further referring to the drawings.
Detailed description of the invention
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Describe, it is clear that described embodiment is only a part of embodiment of the present invention rather than whole embodiments wholely.Base
Embodiment in the present invention, those of ordinary skill in the art obtained under not making creative work premise all its
His embodiment, broadly falls into the scope of protection of the invention.
It is to be appreciated that directional instruction in the embodiment of the present invention (such as up, down, left, right, before and after ...) is only used
In explaining relative position relation between each parts, motion conditions etc. under a certain particular pose (as shown in drawings), if should
When particular pose changes, then directionality instruction changes the most therewith.
It addition, in the present invention such as relating to the description of " first ", " second " etc. be only used for describe purpose, and it is not intended that
Indicate or imply its relative importance or the implicit quantity indicating indicated technical characteristic.Thus, define " first ",
The feature of " second " can express or implicitly include at least one this feature.In describing the invention, the containing of " multiple "
Justice is at least two, such as two, three etc., unless otherwise expressly limited specifically.
In the present invention, unless otherwise clearly defined and limited, term " connects ", " fixing " etc. should be interpreted broadly,
Such as, " fixing " can be fixing connection, it is also possible to be to removably connect, or integral；Can be to be mechanically connected, it is also possible to be
Electrical connection；Can be to be joined directly together, it is also possible to be indirectly connected to by intermediary, can be the connection or two of two element internals
The interaction relationship of individual element, unless otherwise clear and definite restriction.For the ordinary skill in the art, can basis
Concrete condition understands above-mentioned term concrete meaning in the present invention.
It addition, the technical scheme between each embodiment of the present invention can be combined with each other, but must be general with this area
Based on logical technical staff is capable of, when technical scheme combination occur conflicting maybe cannot realize time will be understood that this
The combination of technical scheme does not exists, the most not within the protection domain of application claims.
The fatigue driving monitoring system of one embodiment of the invention is referred to shown in Fig. 1, Fig. 2.This framework can relate to:
Information gathering element, for continuously generating the information data comprising driver's sign, can use photographic head or heart rate
The wearable sensors such as sensor, pressure transducer, respiration pickup, photographic head may be provided on vehicle, just to driver
Arrange to scan the figure of driver；Sensor can be embedded in seat belt；Can be realized by network or bluetooth with intelligent terminal
Radio communication；
Intelligent terminal, can be intelligent vehicle-carried unit, it is also possible to be mobile terminal；Board units may be disposed on vehicle,
Realize communicating with the media device on vehicle and controller by CAN, realize logical by wireless network and cloud server
Letter；Can be specifically the vehicle-mounted computer system T-BOX (Telematics BOX) of employing wireless communication technology, onboard diagnostic system
OBD (On-Board Diagnostic) etc.；Mobile terminal can be specifically mobile phone, panel computer, Intelligent bracelet, intelligent watch
Deng, realize radio communication by the media device on wireless network and vehicle and controller, cloud server；
Cloud server, sets up communication by remote interface and network with intelligent terminal.It is configured with memorizer and processor；
Memorizer, for storing the executable instruction of processor；Processor, includes regarding of driver's sign for obtaining
Frequently image or pulse data；Video image is detected, the characteristic image in positioning video image；Characteristic image is carried out point
Analysis, determines the characteristic information of characteristic image；According to characteristic information, determine the driving condition of driver；At number of pulses evidence
Reason and conversion, according to the data after conversion, determine the driving condition of driver.
Below based on said system framework, the fatigue driving monitoring method of the embodiment of the present invention is described in detail.
With reference to Fig. 3, the fatigue driving monitoring method that present example provides includes:
Step S10, receives the fatigue state decision request that intelligent terminal sends, and described fatigue state decision request comprises drives
The current sign information of the person of sailing；
Cloud server receives fatigue state request by long-range receiving interface, and fatigue state request includes that driver is current
The information data of sign；And by above-mentioned request and information data storing in memorizer.The information of the current sign of driver is concrete
Can be the video image of the aspectual character comprising driver, video image specifically can comprise the facial characteristics of driver, head
Portion's feature or hand-characteristic；Can also is that the heart rate of the vital signs comprising driver, blood pressure, breathing rate isopulse signal.
Step S20, is analyzed described current sign information processing, determines the driving condition of described driver；
Call above-mentioned data, and data are analyzed and processed accordingly, finally determine the driving condition of driver；It is in
Fatigue driving state or non-fatigue driving state.
Step S30, when determining that driver is currently at fatigue driving state, then generates according to described fatigue driving state
Control instruction, and send described control instruction to intelligent terminal.
Once judge that driver is in fatigue driving state, then generate different grades of according to the grade of fatigue driving state
Control instruction, control instruction here can be general Reduced Speed Now signal or emergency brake signal；Cloud server is the most permissible
By wireless network, control instruction is sent to intelligent terminal.
In technical solution of the present invention, by comprising the information of the current sign of driver in intelligent vehicle-carried cell side collection, and
Send to cloud server, after cloud server receives this information, judge the most whether driver is in fatigue according to this information
State, and generate corresponding control instruction according to the grade of fatigue state, and send intelligent vehicle-carried unit to, intelligent terminal should
Control instruction is sent to vehicle control device, performs corresponding control instruction；Hereby it is possible to the fatigue state of driver is supervised
Control, is once in fatigue driving, then force vehicle control device to perform control instruction, such as, make vehicle deceleration and stop；Thus from
Fundamentally allaying tiredness drives the potential safety hazard brought.
Further, above-mentioned current sign information is different, and the mode of corresponding generation control instruction is the most different, below to this
It is described in detail:
In in one way in which, described fatigue driving monitoring method includes:
Step 101, the fatigue state receiving intelligent terminal judges request, and this request comprises the letter of the current sign of driver
Breath；Current sign information is the video image comprising described driver head, face or hand；
Recorded the video image including driver's sign by photographic head, this video image at least should include driving
The facial image of member, thus by the analysis to driver's facial image, it is determined that whether the driver in video is in tired shape
State, such as doze state, uncomfortable state etc..The hand image of driver can also be included, as driver both hands whether
It is placed on steering wheel, if both hands off-direction dish, it is also possible to judge that now driver is in fatigue state, thus send out to controller
Go out Reduced Speed Now or brake hard, to prevent the traffic safety hidden danger caused because of driver fatigue.
Step 201, is analyzed above-mentioned current sign information processing, determines the driving condition of described driver；
In order to automatically identify the driver occurred in video, needs are extraction two field picture from video, and further
Extract the two field picture including facial image, then these two field pictures utilize preset algorithm carry out facial image identification, identify
Go out the driver information in video.Specifically, disclosure embodiment based on the identification model being previously obtained, Face datection and with
Track technology determines the driver information in video, and then the driver information that will identify that presents to the user of viewing video；
Step 201a, detects described video image, positions the characteristic image in described video image；
If the method is applied in the server in high in the clouds, then can be sent by the video that photographic head is shot by wireless network
In cloud server, the cloud server locator module video image to receiving carry out detection and analyze, if the method
It is applied in the terminal (client device) of driver, the client of this method for detecting fatigue driving can be installed in this photographic head
End application, or by the terminal unit of driver, carry out wired or wireless connection with this photographic head such as mobile phone etc., by answering in mobile phone
With software, this video image is carried out follow-up analysis.First analysis process is to detect video image, and video image is
It is made up of two field picture one by one, the detection process to video image, it is simply that the process that every frame two field picture is detected,
Every frame two field picture is scanned, the characteristic image occurred is positioned, mark characteristic image and be positioned at this frame in two field picture
Position coordinates in image, to determine the positional information of characteristic image.
Step 201b, is analyzed described characteristic image, determines the characteristic information of described characteristic image；
Characteristic image is different according to the judgment basis of the driving condition to driver, can have plurality of classes, such as, head
Image, eye image, mouth image, include the hand images of steering wheel；According to the resolution of photographic head, in eye image also
Iris image, pupil image etc. can be subdivided into.Analysis submodule is according to its respective attribute character of characteristic image, to characteristic pattern
As being analyzed, and determine the characteristic information included in characteristic image.Such as, if characteristic image is eye image, then special
Reference breath can include: go up the opening value between palpebra inferior, pupil aperture characteristic parameter, eyeball overall size value etc..
Step 201c, compares the characteristic information of described characteristic image with default statistical model, determines described driving
The driving condition of member；If driver is in fatigue driving state, then carry out step 301, if being in non-fatigue driving state,
Then return step 101, the information data of subsequent time is monitored；
Described sample data, as sample data, is analyzed by the characteristic image of collection predetermined number according to preset algorithm
After obtain described default statistical model；The interaction flow of signal is with reference to Fig. 1.
Both can be individually according to characteristic information in this step, it is determined that the driving condition of driver；Can also be by characteristic information
After comparing with reference to information, it is determined that the driving condition of driver.Driving condition further for driver, it is also possible to according to
Demand carries out the setting of various states, such as waking state (non-fatigue driving state), fatigue state (fatigue driving state), half tired
Labor state (fatigue driving state) etc.；
Default statistical model may include that driver head's moving range threshold value；Characteristic image may include that head figure
Picture.Specifically can be determined by submodule and judge that whether the motion track of the elements of a fix is beyond driver head's moving range threshold
Value, if the duration beyond threshold value is more than the first preset duration, it is judged that the driving condition of driver is fatigue driving state.Driver
Head moving range threshold value can be to drive a vehicle after video information in a large number by gathering driver, analyzes, models and drive meeting of obtaining
The head moving range threshold value of the person's of sailing individuality driving habits, such as, some driver likes listening song when driving, then head can be with pleasure
Song rocks, and some driver then belongs to the absorbed type driven of not moving at all, then to head determined by above-mentioned two class drivers
Portion's moving range threshold value can be different.When head moving range is beyond the range threshold of default statistical model, and when being one section
Between persistently beyond threshold value, such as, the first preset duration is 4 seconds, then it is believed that driver head's lowly time more than 4 seconds,
Now, it is more likely that be low head owing to driver dozes off, it is judged that it is fatigue driving state.
Or, default statistical model may include that eyes aperture threshold value；Characteristic image may include that eyes image.Specifically
Submodule can be determined by and judge that eyes aperture characteristic parameter, whether less than presetting eyes aperture threshold value, presets eyes if being less than
The duration of aperture threshold value is more than the second preset duration, it is judged that the driving condition of driver is fatigue driving state.Such as, drive
The person of sailing is micro-eyes that close due to fatigue, then detect that the aperture of eyes diminishes, and aperture is less than presetting eyes aperture threshold value, and
Continue for a period of time less than the duration of aperture threshold value, such as, the second preset duration is 5 seconds, then may determine that driver is micro-and close
Eyes 5 seconds, it is determined that driver enters fatigue driving state.
To sum up, the present embodiment divides by video image carries out default step-length, extracts two field picture to be detected, and treats
Detection two field picture is analyzed, thus greatly reduces the data analysis quantity of video image, improves the determination effect of driving condition
Rate；Compare with default statistical model also by by the characteristic information in the characteristic image such as head image, eyes image, thus
Quickly and accurately judge the driving condition representated by characteristic information.
Step 301, if it is determined that driver is currently at fatigue driving state, then generate according to described fatigue driving state
Control instruction, and send this control instruction to intelligent terminal.
Preferably, step 301 also includes: when determining that driver is currently at fatigue driving state, by described driver
Fatigue driving state compare with default driving fatigue grade, and send the control corresponding with described default driving fatigue grade
System instruction.
Judge that driver is in fatigue driving state according to current sign information, the driving condition of driver is driven with presetting
Sail level of fatigue to compare, send the control instruction corresponding with presetting driving fatigue grade.It implements can be by right
Default statistical model arranges and multiple compares threshold value, when the characteristic parameter in characteristic image belongs to different comparison threshold ranges
Time, it is judged that obtain the different driving conditions that difference compares in threshold range.Such as, eyes aperture threshold value is divided into 80%, 50%；In advance
If driving fatigue grade can should be mutually and not send deceleration instruction, send deceleration instruction, transmission emergency brake instruction；Assume driver
Eyes aperture is more than 80%, then it is assumed that it is waking state, does not send deceleration instruction；When driver's eyes aperture 80%～
Hover between 50%, then it is assumed that it is the tired state of semiconsciousness half, can send warning, to remind driver whether to stop rest
After travel again；When driver's eyes aperture is less than 50%, then sends deceleration instruction, and remind driver again inspire enthusiasm or build
Discuss its braking to have a rest；Further, when detecting that driver's eyes aperture is 0, i.e. eyes closed, then can send emergency brake
Instruction is with abrupt deceleration vehicle, with the security incident preventing fatigue driving from causing.
In another way, described fatigue driving monitoring method includes:
Step 102, receives the information that intelligent terminal comprises the current sign of driver；Current sign information is driven described in comprising
The pulse signal of the person's of sailing heart rate, breathing or blood pressure；
It is that current sign information is for comprising described Variation of Drivers ' Heart Rate, breathing or blood pressure with the difference of above-described embodiment
Pulse signal；By including the pulse signal of the signs such as Variation of Drivers ' Heart Rate, breathing or blood pressure under sensor record, by right
The heart rate of driver, breathing or analysis of blood pressure, it is determined that whether driver is in fatigue or uncomfortable state, as heart rate more than 160 times/
Minute, or less than 40 beats/min, then it is assumed that cardiopalmus that driver causes because of heart disease, the uncomfortable state etc. such as uncomfortable in chest.Also may be used
To include the breathing of driver, if the respiratory frequency of driver is more than 24 beats/min, or less than 12 beats/min, it is also possible to judge now
Driver is in fatigue or uncomfortable state；The blood pressure of driver can also be included, as the contraction of driver is pressed higher than 150mmHg,
Diastolic pressure is higher than 120mmHg, or contraction is forced down in 80Kpa, and diastolic pressure is less than 50mmHg, it is also possible to judge now driver
It is in fatigue or uncomfortable state；Thus send brake hard to controller, to prevent the row caused because driver is uncomfortable
Car potential safety hazard.
Step 202, is analyzed above-mentioned current sign information processing, determines the driving condition of described driver；
Step 202R, processes described pulse signal, and is converted to digital signal；
First processing procedure is to be amplified pulse electrical signal, filter noise reduction etc. and process, can with improve sampled signal
Reliability, changes the signal of telecommunication the most again, obtains digital signal, the above-mentioned heart of the value size direct reaction of this digital signal
Rate, respiratory frequency or blood pressure height；Transform subblock specifically can include amplifying circuit, filter circuit and analog-digital converter.
Step 202S, it is judged that whether the value of described digital signal is beyond threshold value, and judges that the duration exceeding threshold value is
No it is more than the first preset duration；
Comparison sub-module calls above-mentioned digital signal, and is compared with presetting threshold value by this digital signal value, example
As heart rate threshold is set as 40～160, if digital signal value is 180, through comparing, beyond threshold value, then timing；If next
Data are through comparing, and still beyond threshold value, until N group data, just less than threshold value, then calculate the sampling from N-1 group data
Time, beyond the time interval between the sampling time of the data of threshold value, (value of digital signal continued beyond threshold value for the first time
Duration), if this time interval is less than the first preset duration, then returns and next data is compared；If this time interval
More than or equal to the first preset duration, then carry out step 202T；
Step 202T, if the duration beyond threshold value is more than the first preset duration, it is judged that the driving condition of driver is tired
Driving condition；
If the duration beyond threshold value continues 1 minute more than the first preset duration, such as heart rate 180 beats/min, then it is assumed that drive
The person's of sailing condition is not good enough, is in fatigue driving state；
Step 302, if driver is in fatigue driving state, then generates control according to described fatigue driving state and refers to
Order, and send this control instruction to intelligent terminal.The interaction flow of signal is with reference to Fig. 2.
Once judge that driver is in fatigue driving state, then the grade different grades of control of generation of fatigue state refers to
Order, control instruction here can be general Reduced Speed Now signal or emergency brake signal；Cloud server then can pass through nothing
Control instruction is sent by gauze network to intelligent terminal.
Preferably, when determining that driver is currently at fatigue driving state, by the fatigue driving state of described driver
Compare with default driving fatigue grade, send the control instruction corresponding with described default driving fatigue grade.
According to current sign information, determine that driver is in fatigue driving state, by the driving condition of driver with default
Driving fatigue grade is compared, and sends the control instruction corresponding with presetting driving fatigue grade.It implements and can pass through
Default statistical model is arranged and multiple compares threshold value, when the characteristic parameter in characteristic image belongs to different comparison threshold ranges
Time, it is judged that obtain the different driving conditions that difference compares in threshold range.Such as, blood pressure thresholds be divided into 80%, 100%,
120%；Default driving fatigue grade can should be mutually and not send deceleration instruction, send deceleration instruction, transmission emergency brake instruction；False
If driver shrinks pressure more than the 80% of 150mmHg, then it is assumed that it is waking state, does not send deceleration instruction；When driver's
Shrink to be pressed between 80%～100% of 150mmHg and hover, then it is assumed that it is the tired state of semiconsciousness half, can send warning,
Travel again after having a rest to remind driver whether to stop；It is higher than the 100% of 150mmHg when driver shrinks pressure, then sends deceleration
Instruction, and remind driver again to inspire enthusiasm or advise that its braking is had a rest；Further, when detecting that driver shrinks pressure height
In the 120% of 150mmHg, then can send emergency brake and instruct with abrupt deceleration vehicle, with the safe thing preventing fatigue driving from causing
Therefore.
The present invention also provides for a kind of cloud server, sees Fig. 4, and cloud server includes long-range receiving port 10, judges
Module 20 and instruction module 30.
Remotely receiving port 10 is for receiving the fatigue state decision request that intelligent terminal sends, and described fatigue state judges
Request comprises the information of the current sign of driver；Cloud server receives fatigue by long-range receiving interface 10 by wireless network
State decision request, fatigue state decision request includes the information data of the current sign of driver；And by above-mentioned request and information
Data are stored in memorizer.
Judge module 20, for described current sign information is analyzed process, determines the driving shape of described driver
State；Call above-mentioned data, and data are analyzed and processed accordingly, finally determine the driving condition of driver；Driving here
The state of sailing includes being in fatigue driving state or being in non-fatigue driving state.
Instruction module 30 is for when determining that driver is currently at fatigue driving state, according to described fatigue driving state
Generate control instruction, and send this control instruction to intelligent terminal.
Once judge that driver is in fatigue driving state, then generate different grades of according to the grade of fatigue driving state
Control instruction, control instruction here can be general Reduced Speed Now signal or emergency brake signal；Cloud server is the most permissible
By wireless network, control instruction is sent to intelligent terminal.
Further, when determining that driver is currently at fatigue driving state, can carry out the grade of fatigue state drawing
Point, to generate the control command corresponding with fatigue state grade；In the present embodiment, instruction module 30 is specifically for driving described
The fatigue driving state of the person of sailing is compared with default driving fatigue grade, sends corresponding with described default driving fatigue grade
Control instruction.Grade and the corresponding control instruction of fatigue state can be configured according to actual needs.It is specifically real
Now multiple can compare threshold value, when the characteristic parameter in characteristic image belongs to different ratios by default statistical model is arranged
Relatively during threshold range, it is judged that obtain the different driving conditions that difference compares in threshold range.
In technical solution of the present invention, by comprising the information of the current sign of driver in intelligent vehicle-carried cell side collection, and
Send to cloud server, after cloud server receives this information, judge the most whether driver is in fatigue according to this information
State, and generate corresponding control instruction according to the grade of fatigue state, and send intelligent vehicle-carried unit to, intelligent terminal should
Control instruction is sent to vehicle control device, performs corresponding control instruction；Hereby it is possible to the fatigue state of driver is supervised
Control, is once in fatigue driving, then force vehicle control device to perform control instruction, such as, make vehicle deceleration and stop；Thus from
Fundamentally allaying tiredness drives the potential safety hazard brought.
Further, above-mentioned current sign information is different, and the concrete framework of corresponding judge module 20 is the most different, the most right
This is described in detail:
In an embodiment of the present invention, as it is shown in figure 1, described current sign information is for comprising described driver head, face
Portion or the video image of hand, the most described judge module 20 also includes locator module 201, analyzes submodule 202 and really
Stator modules 203.
The information of the current sign of driver is the video image of the aspectual character comprising driver, specifically may be used in video image
Comprise the facial characteristics of driver, head feature or hand-characteristic；Intelligent terminal is set up with photographic head by acquisition module timing
Communication connection, gathers above-mentioned video image, is then connected to network by sending module by network interface, this sign to be believed
Cease and transmit to cloud server together with fatigue state request；Sending module and remotely receiving port 10 can specially input
Output (I/O) interface.
In the present embodiment, in order to the driver occurred in video is identified automatically, need to extract frame figure from video
Picture, onestep extraction of going forward side by side goes out to include the two field picture of facial image, then utilizes preset algorithm to carry out face figure these two field pictures
As identifying, identify the driver information in video.Specifically, the present embodiment is based on the identification model being previously obtained, face
Detection and tracking technique determine the driver information in video, and then the driver information that will identify that is to the use of viewing video
Family presents.
Locator module 201, for detecting described video image, positions the characteristic image in described video image；
First detecting video image, video image is to be made up of two field picture one by one, the detection to video image
Journey, it is simply that the process detecting every frame two field picture, is scanned every frame two field picture, to the characteristic pattern occurred in two field picture
As positioning, mark the position coordinates that characteristic image is positioned in this two field picture, to determine the positional information of characteristic image.
Analyze submodule 202 to be used for described characteristic image is analyzed, determine the characteristic information of described characteristic image；Special
Levy image different according to the judgment basis of the driving condition to driver, can have plurality of classes, such as, head image, eyes
Image, mouth image, include the hand images of steering wheel；According to the resolution of photographic head, eye image can also segment
For iris image, pupil image etc..Analyze submodule according to its respective attribute character of characteristic image, characteristic image is carried out point
Analysis, and determine the characteristic information included in characteristic image.Such as, if characteristic image is eye image, then in characteristic information
Can include: go up the opening value between palpebra inferior, pupil aperture characteristic parameter, eyeball overall size value etc..
Determine submodule 203 for described characteristic information is compared with described default statistical model, determine described in drive
The driving condition of the person of sailing.If driver is in fatigue driving state, then triggering command module 30, if being in non-fatigue driving
State；Then return long-range receiving port 10, the information data of subsequent time is monitored.
In another embodiment of cloud server of the present invention, as in figure 2 it is shown, exist with the difference of above-described embodiment
In, described current sign information is the pulse signal comprising described Variation of Drivers ' Heart Rate, breathing or blood pressure, the most described judgement mould
Block 20 includes transform subblock 204, comparison sub-module 205 and judges submodule 206.
Transform subblock 204 is for processing described pulse signal, and is converted to digital signal；Remembered by sensor
Record includes the pulse signal of the signs such as Variation of Drivers ' Heart Rate, breathing or blood pressure, is first amplified pulse electrical signal, filters fall
Make an uproar etc. and to process, to improve the credibility of sampled signal, the most again the signal of telecommunication is changed, obtain digital signal, this numeral
The above-mentioned heart rate of the value size direct reaction of signal, respiratory frequency or blood pressure height；Transform subblock 204 specifically can include amplifying
Circuit, filter circuit and analog-digital converter etc..
Comparison sub-module 205 is the most pre-more than first beyond the duration of threshold value for the value judging described digital signal
If duration；Comparison sub-module calls above-mentioned digital signal, and is compared with threshold value set in advance by this digital signal value, as
Really the value of this digital signal is beyond the duration of threshold value less than the first preset duration, then return and compare next data；
If the value of this digital signal is more than or equal to the first preset duration beyond the duration of threshold value, then trigger judge module 206.
Judge that submodule 206 is when the duration exceeding threshold value in the value of described digital signal is preset more than first
Long, it is judged that the driving condition of driver is fatigue driving state, and triggering command module 30.
The foregoing is only the preferred embodiments of the present invention, not thereby limit the scope of the claims of the present invention, every at this
Under the inventive concept of invention, utilize the equivalent structure transformation that description of the invention and accompanying drawing content are made, or directly/indirectly use
The technical field relevant at other is included in the scope of patent protection of the present invention.
Claims (8)
1. a fatigue driving monitoring method, it is characterised in that comprise the following steps:
Receiving the fatigue state decision request that intelligent terminal sends, described fatigue state decision request comprises the current sign of driver
Information；
It is analyzed described current sign information processing, determines the driving condition of described driver；
When determining that driver is currently at fatigue driving state, then generate control instruction according to described fatigue driving state, and
Described control instruction is sent to intelligent terminal.
2. fatigue driving monitoring method as claimed in claim 1, it is characterised in that described tired when determining that driver is currently at
During labor driving condition, then generate control instruction according to described fatigue driving state, and send described control instruction to intelligent terminal
Including:
When driver is currently at fatigue driving state, by the fatigue driving state of described driver and default driving fatigue etc.
Level is compared, and sends the control instruction corresponding to the driving fatigue grade mated with current driving condition.
3. fatigue driving monitoring method as claimed in claim 2, it is characterised in that described current sign information is described for comprising
The video image of driver head, face or hand, described described current sign information is analyzed process, determine described in drive
The driving condition of the person of sailing includes:
Described video image is detected, positions the characteristic image in described video image；
Described characteristic image is analyzed, determines the characteristic information of described characteristic image；
The characteristic information of described characteristic image is compared with default statistical model, determines the driving condition of described driver；
Wherein,
The characteristic image of collection predetermined number, as sample data, obtains after being analyzed described sample data according to preset algorithm
To described default statistical model.
4. fatigue driving monitoring method as claimed in claim 2, it is characterised in that described current sign information is described for comprising
The pulse signal of Variation of Drivers ' Heart Rate, breathing or blood pressure；Described described current sign information is analyzed process, determine described in drive
The driving condition of the person of sailing includes:
Described pulse signal is processed, and is converted to digital signal；
Judge that whether the value of described digital signal exceeds the duration of threshold value more than the first preset duration；
If the duration beyond threshold value is more than the first preset duration, it is judged that the driving condition of driver is fatigue driving state.
5. a cloud server, it is characterised in that including:
Remotely receiving port, for receiving the fatigue state decision request that intelligent terminal sends, described fatigue state decision request
Comprise the information of the current sign of driver；
Judge module, for described current sign information is analyzed process, determines the driving condition of described driver；
Described instruction module, for when determining that driver is currently at fatigue driving state, according to described fatigue driving state
Generate control instruction, and send this control instruction to intelligent terminal.
6. cloud server as claimed in claim 5, it is characterised in that described instruction module also includes:
When determining that driver is currently at fatigue driving state, for the fatigue driving state of described driver is driven with presetting
Sail level of fatigue to compare, send the control instruction corresponding with described default driving fatigue grade.
7. cloud server as claimed in claim 6, it is characterised in that described current sign information is for comprising described driver
The video image of head, face or hand, the most described judge module also includes:
Locator module, for detecting described video image, positions the characteristic image in described video image；
Analyze submodule, for described characteristic image is analyzed, determine the characteristic information of described characteristic image；
Determine submodule, for being compared with described default statistical model by described characteristic information, determine described driver's
Driving condition.
8. cloud server as claimed in claim 6, it is characterised in that described current sign information is for comprising described driver
The pulse signal of heart rate, breathing or blood pressure, the most described judge module includes:
Transform subblock, for processing described pulse signal, and is converted to digital signal；
Comparison sub-module, during for judging whether the value of described digital signal is preset more than first beyond the duration of threshold value
Long；
Judge submodule, for exceeding the duration of threshold value in the value of described digital signal more than the first preset duration, it is judged that
The driving condition of driver is fatigue driving state.
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| CN201610666315.9A CN106218405A (en) | 2016-08-12 | 2016-08-12 | Fatigue driving monitoring method and cloud server |
| PCT/CN2016/105631 WO2018028068A1 (en) | 2016-08-12 | 2016-11-14 | Fatigue driving monitoring method and cloud server |
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| CN201610666315.9A CN106218405A (en) | 2016-08-12 | 2016-08-12 | Fatigue driving monitoring method and cloud server |
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