CN106740862A - Driver status monitoring method and monitoring controller for driver state - Google Patents

Driver status monitoring method and monitoring controller for driver state Download PDF

Info

Publication number
CN106740862A
CN106740862A CN201611076757.4A CN201611076757A CN106740862A CN 106740862 A CN106740862 A CN 106740862A CN 201611076757 A CN201611076757 A CN 201611076757A CN 106740862 A CN106740862 A CN 106740862A
Authority
CN
China
Prior art keywords
driver
driving
state
vehicle
driving condition
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201611076757.4A
Other languages
Chinese (zh)
Inventor
刘均
宋朝忠
欧阳张鹏
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shenzhen Launch Technology Co Ltd
Original Assignee
Shenzhen Launch Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shenzhen Launch Technology Co Ltd filed Critical Shenzhen Launch Technology Co Ltd
Priority to CN201611076757.4A priority Critical patent/CN106740862A/en
Priority to PCT/CN2017/078423 priority patent/WO2018098947A1/en
Publication of CN106740862A publication Critical patent/CN106740862A/en
Pending legal-status Critical Current

Links

Classifications

    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W40/00Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
    • B60W40/08Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to drivers or passengers
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60QARRANGEMENT OF SIGNALLING OR LIGHTING DEVICES, THE MOUNTING OR SUPPORTING THEREOF OR CIRCUITS THEREFOR, FOR VEHICLES IN GENERAL
    • B60Q9/00Arrangement or adaptation of signal devices not provided for in one of main groups B60Q1/00 - B60Q7/00, e.g. haptic signalling
    • B60Q9/008Arrangement or adaptation of signal devices not provided for in one of main groups B60Q1/00 - B60Q7/00, e.g. haptic signalling for anti-collision purposes
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W50/00Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
    • B60W50/08Interaction between the driver and the control system
    • B60W50/14Means for informing the driver, warning the driver or prompting a driver intervention
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W40/00Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
    • B60W40/08Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to drivers or passengers
    • B60W2040/0818Inactivity or incapacity of driver
    • B60W2040/0827Inactivity or incapacity of driver due to sleepiness

Landscapes

  • Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • Automation & Control Theory (AREA)
  • Human Computer Interaction (AREA)
  • Transportation (AREA)
  • Physics & Mathematics (AREA)
  • Mathematical Physics (AREA)
  • Traffic Control Systems (AREA)

Abstract

The invention discloses a kind of driver status monitoring method and monitoring controller for driver state, the driver status monitoring method includes:When driver is detected in driving condition, the facial feature data of driver is gathered;According to the facial feature data, detect whether the driving condition of driver is in distraction state;When the driving condition for detecting driver is in distraction state, the driving states of vehicle are controlled, to ensure driving safety.The present invention detects driving condition of the driver in driving procedure by gathering the facial characteristics of driver, and driving states to vehicle carry out auxiliary control, have greatly ensured the driving safety in driving procedure.

Description

Driver status monitoring method and monitoring controller for driver state
Technical field
The present invention relates to driver status monitoring technology field, more particularly to a kind of driver status monitoring method and driving Member's state monitoring device.
Background technology
In actual life, driver drive vehicle when, its driving condition be have influence on driving safety problem it is important because Element.To ensure the driving safety in driving procedure, it is necessary to be monitored to the driving condition of driver, and according to its monitoring result Coordinate the driving states of control vehicle.
In the prior art, the device usually bracelet of driver status monitoring function is realized.Driver wears the bracelet, The data such as the heart rate of Sensor monitoring function monitor driver using bracelet, when heart rate is more than a certain threshold value, then judge to drive The person of sailing is in distraction state, sends alerting signal prompting driver and notes driving safety.
But, the above method exist a defect, driver drive vehicle during, its physical trait data influence Factor is larger, the emotional change of such as driver, change of temperature etc., can all cause the ripple of the data such as the heart rate of driver Dynamic, the data for causing bracelet to measure are not rigorous so that the reliability of the judged result based on these data is not high, it is impossible to true Reflect the real driving condition of driver, cause driving condition that cannot be exactly to driver to be monitored, greatly Have impact on the driving safety in driving procedure.
The content of the invention
It is a primary object of the present invention to provide a kind of driver status monitoring method and monitoring controller for driver state, purport Driver is being solved in driving procedure, it is impossible to which the driving condition to driver is monitored exactly, in causing driving procedure The technical problem that driving safety cannot be ensured.
To achieve the above object, the embodiment of the present invention provides a kind of driver status monitoring method, the driver status Monitoring method includes:
When driver is detected in driving condition, the facial feature data of driver is gathered;
According to the facial feature data, detect whether the driving condition of driver is in distraction state;
When the driving condition for detecting driver is in distraction state, the driving states of vehicle are controlled, to protect Barrier driving safety.
Alternatively, the facial feature data includes frequency of wink, eye-closing period, frequency of bowing,
It is described according to the facial feature data, detect the driving condition of driver whether in distraction state Step also includes:
It is more than default frequency of wink, eye-closing period more than default eye-closing period, frequency of bowing when the frequency of wink is detected When rate is set up more than a condition in default frequency of bowing or multiple conditions, judge that the driving condition of driver is in spirit not Collected state.
Alternatively, it is described according to the facial feature data, detect whether the driving condition of driver does not collect in spirit The step of middle state, also includes:
Detect whether the driving time of driver is more than predetermined threshold value;
When the driving time for detecting driver is more than predetermined threshold value, then judge that the driving condition of driver is in spirit Not collected state.
Alternatively, it is described when the driving condition for detecting driver is in distraction state, control the row of vehicle Car state, also includes the step of to ensure driving safety:
When the driving condition for detecting driver is in distraction state, then the driving speed of vehicle driving states is reduced The Function for Automatic Pilot of degree and/or startup vehicle, to control the driving states of vehicle, ensures driving safety.
Alternatively, it is described when the driving condition for detecting driver is in distraction state, control the row of vehicle Car state, also includes the step of to ensure driving safety:
When the driving condition for detecting driver is in distraction state, send cue to carry to driver Show that driver notes driving safety, and other vehicles to vehicle periphery where driver send early warning signal.
Additionally, to achieve the above object, the present invention also provides a kind of monitoring controller for driver state, the driver status Supervising device includes:
Acquisition module, for when driver is detected in driving condition, gathering the facial feature data of driver;
Detection module, for according to the facial feature data, detecting whether the driving condition of driver is in spirit not Collected state;
Control module, for when the driving condition for detecting driver is in distraction state, controlling vehicle Driving states, to ensure driving safety.
Alternatively, the facial feature data includes frequency of wink, eye-closing period, frequency of bowing, and the detection module is also For:
It is more than default frequency of wink, eye-closing period more than default eye-closing period, frequency of bowing when the frequency of wink is detected When rate is set up more than a condition in default frequency of bowing or multiple conditions, judge that the driving condition of driver is in spirit not Collected state.
Alternatively, the detection module also includes:
Detection unit, for detecting the driving time of driver whether more than predetermined threshold value;
Judging unit, for when the driving time for detecting driver is more than predetermined threshold value, then judging driving for driver Sail state and be in distraction state.
Alternatively, the control module is additionally operable to:
When the driving condition for detecting driver is in distraction state, then the driving speed of vehicle driving states is reduced The Function for Automatic Pilot of degree and/or startup vehicle, to control the driving states of vehicle, ensures driving safety.
Alternatively, the control module is additionally operable to:
When the driving condition for detecting driver is in distraction state, send cue to carry to driver Show that driver notes driving safety, and other vehicles to vehicle periphery where driver send early warning signal.
In technical solution of the present invention, first when driver is detected in driving condition, the face of driver is gathered Characteristic;Then according to the facial feature data, detect whether the driving condition of driver is in distraction state; Finally when the driving condition for detecting driver is in distraction state, the driving states of vehicle are controlled, driven with ensureing Sail safety.Through the above way, the driving condition of driver can accurately be monitored during vehicle is driven, truly The driving condition of driver is reacted, and makes corresponding control to vehicle to the driving condition according to driver, ensure driver Driving safety in driving procedure.
Brief description of the drawings
Fig. 1 is the optional schematic diagram of a scenario of each embodiment in driver status monitoring method of the present invention;
Fig. 2 is the schematic flow sheet of driver status monitoring method first embodiment of the present invention;
Fig. 3 is according to the facial feature data, inspection described in driver status monitoring method 3rd embodiment of the present invention The schematic flow sheet of the step of whether surveying the driving condition of driver in distraction state;
Fig. 4 is the module diagram of monitoring controller for driver state first embodiment of the present invention;
Fig. 5 is the refinement module schematic diagram of detection module in monitoring controller for driver state 3rd embodiment of the present invention.
The realization of the object of the invention, functional characteristics and advantage will in conjunction with the embodiments, and refer to the attached drawing is described further.
Specific embodiment
It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not intended to limit the present invention.
The monitoring controller for driver state of each embodiment of the invention is realized referring now to Description of Drawings.Retouched in follow-up In stating, using the suffix of such as " module ", " part " or " unit " for representing element only for being conducive to theory of the invention It is bright, itself do not have specific meaning.Therefore, " module " can be used mixedly with " part ".
With reference to Fig. 2, the present invention provides a kind of driver status monitoring method, and the driver status monitoring method is mainly applied In on monitoring controller for driver state, in driver status monitoring method first embodiment, the driver status monitoring method Including:
Step S10, when driver is detected in driving condition, gathers the facial feature data of driver;
Reference picture 1, Fig. 1 is a schematic diagram of a scenario of each embodiment of the invention, and A is monitoring controller for driver state, and B is Driver, C is vehicle.Above-mentioned monitoring controller for driver state A can be the equipment such as vehicle mounted imaging apparatus, closed-circuit control device, Monitoring controller for driver state A generally is equipped with camera and analyzing and processing element, and wherein camera is mainly used in detection With collection facial feature datas of the driver B in driving procedure, and analyze and process element and be mainly used in analysis camera institute The facial feature data for detecting and collecting, to obtain analysis knots of the monitoring controller for driver state A to driver's B state of mind Really.In the present embodiment, the driving condition refers to the state that driver B controls vehicle C starts to exercise, and its agent object is Driver B.The facial feature data is important reference data in technical solution of the present invention, including but not limited to following to be lifted Example:Eye-closing period, frequency of wink, the frequency yawned etc..The citing of these facial characteristics is special with universal face Levy and representative, the collection to driver's B facial feature datas enables to monitoring controller for driver state A more accurately to divide The driving condition of analysis driver B, is the precondition performed to next step function.
Step S20, according to the facial feature data, detects whether the driving condition of driver is in distraction shape State;
According to the facial feature data of the driver for collecting, monitoring controller for driver state can detect that the face is special Data are levied, to obtain the driving condition of driver, by the analysis to driver's driving condition, the driving condition of driver is known Whether distraction state is in.The facial characteristics of driver is capable of the state of mind of actual response driver, actual life In, if driver frequently yawns, it is meant that the state that driver drives vehicle has been in fatigue state;If driver is double Eye is closed always, then prove that driver is not concerned with the front of vehicle traveling direction in driving procedure, now at driver In the state of dangerous driving.Citing above is the explanation of actual life middle part branch scape, and above-mentioned scene is quantified It is the detection function in monitoring controller for driver state, when the frequency yawned equivalent to detection driver or driver close one's eyes Between, compare by with the reference data being pre-stored in monitoring controller for driver state, so that correspondence obtains driving for driver Whether state is sailed in distraction state.
Step S30, when the driving condition for detecting driver is in distraction state, controls the driving shape of vehicle State, to ensure driving safety.
If the driving condition that monitoring controller for driver state detects driver is in distraction state, then think The driving safety for now driver is subject to certain threat.Now, because the driving condition of driver is quickly to carry out Adjustment, and driver is probably unconscious to oneself driving condition in itself, i.e., driver not yet recognizes driving for vehicle Sailing safety may just be threatened, therefore monitoring controller for driver state needs to make the driving states of vehicle certain tune It is whole, to aid in controlling the driving states of vehicle, ensure the driving safety of driver and vehicle.
In technical solution of the present invention, first when driver is detected in driving condition, the face of collection driver is special Levy data;Then according to the facial feature data, detect whether the driving condition of driver is in distraction state;Most Afterwards when the driving condition for detecting driver is in distraction state, the driving states of vehicle are controlled, to ensure driving Safety.Through the above way, the driving condition of driver can accurately be monitored during vehicle is driven, it is true anti- The driving condition of driver is answered, and makes corresponding control to vehicle to the driving condition according to driver, ensure that driver exists Driving safety in driving states.
Further, on the basis of driver status monitoring method first embodiment of the present invention, driver status are proposed Monitoring method second embodiment, the difference between the second embodiment and first embodiment is, the facial feature data Including frequency of wink, eye-closing period, frequency of bowing,
It is described according to the facial feature data, detect the driving condition of driver whether in distraction state Step also includes:
It is more than default frequency of wink, eye-closing period more than default eye-closing period, frequency of bowing when the frequency of wink is detected When rate is set up more than a condition in default frequency of bowing or multiple conditions, judge that the driving condition of driver is in spirit not Collected state.
In the facial feature data of monitoring controller for driver state collection, include frequency of wink, eye-closing period, bow The characteristics such as frequency.Certainly, not merely there was only example provided above in the facial feature data, other can be driven Facial feature data detected by the person's of sailing state monitoring device is belonged in the middle of scope of patent protection of the invention.The blink Frequency, refers to the number of times that driver blinks within the unit interval.The eye-closing period, refers to driver and is driving vehicle During, close the duration that eyes are passed through every time, including eyes are closed in blink action to being passed through during opening eyes The duration and driver crossed close eyes to the duration passed through during opening eyes when non-blink is acted.It is described low Head frequency, refers to the number of times that driver bows within the unit interval.During blinking in driver, close one's eyes, bowing, vehicle Still advance, in driving states, and these actions can virtually influence or reflect that driver drives the driving of vehicle State.The frequency of wink of the driver collected when monitoring controller for driver state is excessively frequently, eye-closing period is long or bows When frequency is frequent, then prove that the eyes of driver are likely to be at fatigue state, eye-closing period is long, show that driver may essence God is dimmed or even is dozing off, and frequency of bowing then means that driver is not absorbed in vehicle and is expert at more than default frequency of bowing The situation of road ahead in car state, situation above all will seriously threaten driver and vehicle traffic safety in itself.Therefore, Needs are provided with default frequency of wink, default eye-closing period and default frequency of bowing in monitoring controller for driver state, while It is more than default frequency of wink, eye-closing period more than default eye-closing period, frequency of bowing more than pre- when the frequency of wink is detected If wherein one or more conditions in frequency of bowing are set up, then meaning the driving safety of vehicle under present case will suffer Threaten, driver cannot concentrate on driving vehicle with notice, i.e., cannot perform the operation for driving vehicle normal safe, In distraction state.
Further, on the basis of driver status monitoring method first embodiment of the present invention, driver status are proposed Monitoring method 3rd embodiment, with reference to Fig. 3, the difference between the 3rd embodiment and first embodiment is, the basis The facial feature data, detects that the step of whether driving condition of driver is in distraction state also includes:
Step S21, detects whether the driving time of driver is more than predetermined threshold value;
Step S22, when the driving time for detecting driver is more than predetermined threshold value, then judges the driving condition of driver In distraction state.
Another detection is also provided except the detection and analysis of the facial feature data to driver, in the embodiment of the present invention Mode, i.e., detected by the length of the driving time of driver status monitor and detection driver.The driving time, refers to Driver from the time point where starting to drive vehicle to it is current drive vehicle when where time point whole process in all from The duration passed through in driving condition.Such as driver is the driving vehicle since seven o'clock of morning, until the same day Nine o'clock of morning is all in driving condition, then whole process continue for a hour, it is assumed that current driver's condition monitoring The default predetermined threshold value of device is one hour, then the driving time of driver is detected in monitoring controller for driver state more than pre- If during threshold value, judging that the current driving condition of driver is in distraction state.
Further, on the basis of driver status monitoring method first embodiment of the present invention, driver status are proposed Monitoring method fourth embodiment, the difference between the fourth embodiment and first embodiment is, described to detect driving When the driving condition of member is in distraction state, the driving states of vehicle are controlled, also wrapped the step of to ensure driving safety Include:
When the driving condition for detecting driver is in distraction state, then the driving speed of vehicle driving states is reduced The Function for Automatic Pilot of degree and/or startup vehicle, to control the driving states of vehicle, ensures driving safety.
Once the driving condition for detecting driver is in distraction state, then prove the driving of now driver Cannot ensure safely, may cause the generation of traffic accident not in time because of driver's reaction at any time.Therefore, except dependence is driven Outside the person of sailing is controlled to vehicle, in addition it is also necessary to which monitoring controller for driver state makes preventive measure, auxiliary control vehicle Driving states, to ensure driving safety.And ensure that the method for driving safety can be divided into two kinds, reduce vehicle in driving states Under road speed, or start vehicle Function for Automatic Pilot, by intelligentized programming system control vehicle driving shape State, eliminates the uncertain noncontrollable factors of driver's driving condition, completes automatic Pilot operation, farthest ensures driving Driving safety in state.Wherein, monitoring controller for driver state can be based on CAN association to the control technology of vehicle View, used as the serial communication protocol of International standardization, CAN agreement possesses security, comfortableness, convenience, low nuisanceless With various advantages such as low cost, powerful technical support can be provided for the embodiment of the present invention.
The method of control vehicle driving states can all allow driver to perceive driver status in a short time and supervise above Judgement of the control device to current driving safety, so as to improve the vigilance of driver, concentrates on the row of the current vehicle of concern Car state and driving safety.
Further, on the basis of driver status monitoring method fourth embodiment of the present invention, driver status are proposed The embodiment of monitoring method the 5th, the difference between the 5th embodiment and fourth embodiment is, described to detect driving When the driving condition of member is in distraction state, the driving states of vehicle are controlled, also wrapped the step of to ensure driving safety Include:
When the driving condition for detecting driver is in distraction state, send cue to carry to driver Show that driver notes driving safety, and other vehicles to vehicle periphery where driver send early warning signal.
It is to perform in real time to the detection function and analytic function of driver's driving condition due to monitoring controller for driver state , therefore the function of the driving states of its control vehicle is also to perform in real time, in this process, the state of mind of driver is not Concentrate, its respond also declines therewith, therefore, monitoring controller for driver state needs to point out driver, Ke Yifa Go out the cue that driver can discover, point out driver to note driving safety.To ensure that driver can be conveniently and efficiently Receive the cue, cue can be voice message, light prompt etc., so as to driver can quickly adjust from Oneself driving condition, enhances your vigilance, and notes driving safety.Meanwhile, monitoring controller for driver state can also be to where driver Other vehicles of vehicle periphery send early warning signal, for example entered by light flash, voice reminder or vehicle external display screen Compose a piece of writing this early warning, to point out other vehicles to keep certain spacing, the driving of further support vehicles with vehicle where driver Safety.
The present invention also provides a kind of monitoring controller for driver state, in monitoring controller for driver state first embodiment, With reference to Fig. 4, the monitoring controller for driver state includes:
Acquisition module 10, for when driver is detected in driving condition, gathering the facial feature data of driver;
Reference picture 1, Fig. 1 is a schematic diagram of a scenario of each embodiment of the invention, and A is monitoring controller for driver state, and B is Driver, C is vehicle.Above-mentioned monitoring controller for driver state A can be the equipment such as vehicle mounted imaging apparatus, closed-circuit control device, Monitoring controller for driver state A generally is equipped with camera and analyzing and processing element, and wherein camera is mainly used in detection With collection facial feature datas of the driver B in driving procedure, and analyze and process element and be mainly used in analysis camera institute The facial feature data for detecting and collecting, to obtain analysis knots of the monitoring controller for driver state A to driver's B state of mind Really.In the present embodiment, the driving condition refers to the state that driver B controls vehicle C starts to exercise, and its agent object is Driver B.The facial feature data is important reference data in technical solution of the present invention, including but not limited to following to be lifted Example:Eye-closing period, frequency of wink, the frequency yawned etc..The citing of these facial characteristics is special with universal face Levy and representative, the collection to driver's B facial feature datas enables to monitoring controller for driver state A more accurately to divide The driving condition of analysis driver B, is the precondition performed to next step function.
Detection module 20, for according to the facial feature data, detecting the driving condition of driver whether in spirit Not collected state;
According to the facial feature data of the driver for collecting, monitoring controller for driver state can detect that the face is special Data are levied, to obtain the driving condition of driver, by the analysis to driver's driving condition, the driving condition of driver is known Whether distraction state is in.The facial characteristics of driver is capable of the state of mind of actual response driver, actual life In, if driver frequently yawns, it is meant that the state that driver drives vehicle has been in fatigue state;If driver is double Eye is closed always, then prove that driver is not concerned with the front of vehicle traveling direction in driving procedure, now at driver In the state of dangerous driving.Citing above is the explanation of actual life middle part branch scape, and above-mentioned scene is quantified It is the detection function in monitoring controller for driver state, when the frequency yawned equivalent to detection driver and driver close one's eyes Between, compare by with the reference threshold being pre-stored in monitoring controller for driver state, so that correspondence obtains driving for driver Whether state is sailed in distraction state.
Control module 30, for when the driving condition for detecting driver is in distraction state, controlling vehicle Driving states, to ensure driving safety.
If the driving condition that monitoring controller for driver state detects driver is in distraction state, then think The driving safety for now driver is subject to certain threat.Now, because the driving condition of driver is quickly to carry out Adjustment, and driver is probably unconscious to oneself driving condition in itself, i.e., driver not yet recognizes driving for vehicle Sailing safety may just be threatened, therefore monitoring controller for driver state needs to make the driving states of vehicle certain tune It is whole, to aid in controlling the driving states of vehicle, ensure the driving safety of driver and vehicle.
In technical solution of the present invention, first when driver is detected in driving condition, the face of collection driver is special Levy data;Then according to the facial feature data, detect whether the driving condition of driver is in distraction state;Most Afterwards when the driving condition for detecting driver is in distraction state, the driving states of vehicle are controlled, to ensure driving Safety.Through the above way, the driving condition of driver can accurately be monitored during vehicle is driven, it is true anti- The driving condition of driver is answered, and makes corresponding control to vehicle to the driving condition according to driver, ensure that driver exists Driving safety in driving states.
Further, on the basis of monitoring controller for driver state first embodiment of the present invention, driver status are proposed Supervising device second embodiment, the difference between the second embodiment and first embodiment is, the facial feature data Including frequency of wink, eye-closing period, frequency of bowing, the detection module 20 is additionally operable to:
It is more than default frequency of wink, eye-closing period more than default eye-closing period, frequency of bowing when the frequency of wink is detected When rate is set up more than a condition in default frequency of bowing or multiple conditions, judge that the driving condition of driver is in spirit not Collected state.
In the facial feature data of monitoring controller for driver state collection, include frequency of wink, eye-closing period, bow The characteristics such as frequency.Certainly, not merely there was only example provided above in the facial feature data, other can be driven Facial feature data detected by the person's of sailing state monitoring device is belonged in the middle of scope of patent protection of the invention.The blink Frequency, refers to the number of times that driver blinks within the unit interval.The eye-closing period, refers to driver and is driving vehicle During, close the duration that eyes are passed through every time, including eyes are closed in blink action to being passed through during opening eyes The duration and driver crossed close eyes to the duration passed through during opening eyes when non-blink is acted.It is described low Head frequency, refers to the number of times that driver bows within the unit interval.During blinking in driver, close one's eyes, bowing, vehicle Still advance, in driving states, and these actions can virtually influence or reflect that driver drives the driving of vehicle State.The frequency of wink of the driver collected when monitoring controller for driver state is excessively frequently, eye-closing period is long or bows When frequency is frequent, then prove that the eyes of driver are likely to be at fatigue state, eye-closing period is long, show that driver may essence God is dimmed or even is dozing off, and frequency of bowing then means that driver is not absorbed in vehicle and is expert at more than default frequency of bowing The situation of road ahead in car state, situation above all will seriously threaten driver and vehicle traffic safety in itself.Therefore, Needs are provided with default frequency of wink, default eye-closing period and default frequency of bowing in monitoring controller for driver state, while It is more than default frequency of wink, eye-closing period more than default eye-closing period, frequency of bowing more than pre- when the frequency of wink is detected If wherein one or more conditions in frequency of bowing are set up, then meaning the driving safety of vehicle under present case will suffer Threaten, driver cannot concentrate on driving vehicle with notice, i.e., cannot perform the operation for driving vehicle normal safe, In distraction state.
Further, on the basis of monitoring controller for driver state first embodiment of the present invention, driver status are proposed Supervising device 3rd embodiment, with reference to Fig. 5, the difference between the 3rd embodiment and first embodiment is, the detection Module 20 includes:
Detection unit 21, for detecting the driving time of driver whether more than predetermined threshold value;
Judging unit 22, for when the driving time for detecting driver is more than predetermined threshold value, then judging driver's Driving condition is in distraction state.
Another detection is also provided except the detection and analysis of the facial feature data to driver, in the embodiment of the present invention Mode, i.e., detected by the length of the driving time of driver status monitor and detection driver.The driving time, refers to Driver from the time point where starting to drive vehicle to it is current drive vehicle when where time point whole process in all from The duration passed through in driving condition.Such as driver is the driving vehicle since seven o'clock of morning, until the same day Nine o'clock of morning is all in driving condition, then whole process continue for a hour, it is assumed that current driver's condition monitoring The default predetermined threshold value of device is one hour, then the driving time of driver is detected in monitoring controller for driver state more than pre- If during threshold value, judging that the current driving condition of driver is in distraction state.
Further, on the basis of monitoring controller for driver state first embodiment of the present invention, driver status are proposed Supervising device fourth embodiment, the difference between the fourth embodiment and first embodiment is that the control module 30 is also For:
When the driving condition for detecting driver is in distraction state, then the driving speed of vehicle driving states is reduced The Function for Automatic Pilot of degree and/or startup vehicle, to control the driving states of vehicle, ensures driving safety.
Once the driving condition for detecting driver is in distraction state, then prove the driving of now driver Cannot ensure safely, may cause the generation of traffic accident not in time because of driver's reaction at any time.Therefore, except dependence is driven Outside the person of sailing is controlled to vehicle, in addition it is also necessary to which monitoring controller for driver state makes preventive measure, auxiliary control vehicle Driving states, to ensure driving safety.And ensure that the method for driving safety can be divided into two kinds, reduce vehicle in driving states Under road speed, or start vehicle Function for Automatic Pilot, by intelligentized programming system control vehicle driving shape State, eliminates the uncertain noncontrollable factors of driver's driving condition, completes automatic Pilot operation, farthest ensures driving Driving safety in state.Wherein, monitoring controller for driver state can be based on CAN association to the control technology of vehicle View, used as the serial communication protocol of International standardization, CAN agreement possesses security, comfortableness, convenience, low nuisanceless With various advantages such as low cost, powerful technical support can be provided for the embodiment of the present invention.
The method of control vehicle driving states can all allow driver to perceive driver status in a short time and supervise above Judgement of the control device to current driving safety, so as to improve the vigilance of driver, concentrates on the row of the current vehicle of concern Car state and driving safety.
Further, on the basis of monitoring controller for driver state fourth embodiment of the present invention, driver status are proposed The embodiment of supervising device the 5th, the difference between the 5th embodiment and fourth embodiment is that the control module 30 is also For:
When the driving condition for detecting driver is in distraction state, send cue to carry to driver Show that driver notes driving safety, and other vehicles to vehicle periphery where driver send early warning signal.
It is to perform in real time to the detection function and analytic function of driver's driving condition due to monitoring controller for driver state , therefore the function of the driving states of its control vehicle is also to perform in real time, in this process, the state of mind of driver is not Concentrate, its respond also declines therewith, therefore, monitoring controller for driver state needs to point out driver, Ke Yifa Go out the cue that driver can discover, point out driver to note driving safety.To ensure that driver can be conveniently and efficiently Receive the cue, cue can be voice message, light prompt etc., so as to driver can quickly adjust from Oneself driving condition, enhances your vigilance, and notes driving safety.Meanwhile, monitoring controller for driver state can also be to where driver Other vehicles of vehicle periphery send early warning signal, for example entered by light flash, voice reminder or vehicle external display screen Compose a piece of writing this early warning, to point out other vehicles to keep certain spacing, the driving of further support vehicles with vehicle where driver Safety.
It should be noted that herein, term " including ", "comprising" or its any other variant be intended to non-row His property is included, so that process, method, article or device including a series of key elements not only include those key elements, and And also include other key elements being not expressly set out, or also include for this process, method, article or device institute are intrinsic Key element.In the absence of more restrictions, the key element limited by sentence "including a ...", it is not excluded that including this Also there is other identical element in the process of key element, method, article or device.
The embodiments of the present invention are for illustration only, and the quality of embodiment is not represented.
Through the above description of the embodiments, those skilled in the art can be understood that above-described embodiment side Method can add the mode of required general hardware platform to realize by software, naturally it is also possible to by hardware, but in many cases The former is more preferably implementation method.Based on such understanding, technical scheme is substantially done to prior art in other words The part for going out contribution can be embodied in the form of software product, and the computer software product is stored in a storage medium In (such as ROM/RAM, magnetic disc, CD), including some instructions are used to so that a station terminal equipment (can be mobile phone, computer, clothes Business device, air-conditioner, or network equipment etc.) perform method described in each embodiment of the invention.
The preferred embodiments of the present invention are these are only, the scope of the claims of the invention is not thereby limited, it is every to utilize this hair Equivalent structure or equivalent flow conversion that bright specification and accompanying drawing content are made, or directly or indirectly it is used in other related skills Art field, is included within the scope of the present invention.

Claims (10)

1. a kind of driver status monitoring method, it is characterised in that the driver status monitoring method includes:
When driver is detected in driving condition, the facial feature data of driver is gathered;
According to the facial feature data, detect whether the driving condition of driver is in distraction state;
When the driving condition for detecting driver is in distraction state, the driving states of vehicle are controlled, driven with ensureing Sail safety.
2. driver status monitoring method as claimed in claim 1, it is characterised in that the facial feature data includes blink Frequency, eye-closing period, frequency of bowing,
It is described according to the facial feature data, the step of whether detect the driving condition of driver in distraction state Also include:
It is big more than default eye-closing period, frequency of bowing more than default frequency of wink, eye-closing period when the frequency of wink is detected When a condition or multiple conditions in default frequency of bowing are set up, judge that the driving condition of driver is in distraction State.
3. driver status monitoring method as claimed in claim 1, it is characterised in that described according to the facial characteristics number According to, detect driver driving condition whether in distraction state the step of also include:
Detect whether the driving time of driver is more than predetermined threshold value;
When the driving time for detecting driver is more than predetermined threshold value, then judge that the driving condition of driver is in spirit and does not collect Middle state.
4. driver status monitoring method as claimed in claim 1, it is characterised in that described when the driving that detect driver When state is in distraction state, the driving states of vehicle are controlled, also included the step of to ensure driving safety:
When the driving condition for detecting driver is in distraction state, then the road speed of vehicle driving states is reduced And/or the Function for Automatic Pilot of startup vehicle, to control the driving states of vehicle, ensure driving safety.
5. the driver status monitoring method as described in Claims 1-4 any one, it is characterised in that described when detecting When the driving condition of driver is in distraction state, the driving states of vehicle are controlled, the step of to ensure driving safety Also include:
When the driving condition for detecting driver is in distraction state, send cue to driver to point out to drive The person of sailing notes driving safety, and other vehicles to vehicle periphery where driver send early warning signal.
6. a kind of monitoring controller for driver state, it is characterised in that the monitoring controller for driver state includes:
Acquisition module, for when driver is detected in driving condition, gathering the facial feature data of driver;
Detection module, for according to the facial feature data, detecting whether the driving condition of driver is in distraction State;
Control module, for when the driving condition for detecting driver is in distraction state, controlling the driving of vehicle State, to ensure driving safety.
7. monitoring controller for driver state as claimed in claim 6, it is characterised in that the facial feature data includes blink Frequency, eye-closing period, frequency of bowing, the detection module are additionally operable to:
It is big more than default eye-closing period, frequency of bowing more than default frequency of wink, eye-closing period when the frequency of wink is detected When a condition or multiple conditions in default frequency of bowing are set up, judge that the driving condition of driver is in distraction State.
8. monitoring controller for driver state as claimed in claim 6, it is characterised in that the detection module also includes:
Detection unit, for detecting the driving time of driver whether more than predetermined threshold value;
Judging unit, for when the driving time for detecting driver is more than predetermined threshold value, then judging the driving shape of driver State is in distraction state.
9. monitoring controller for driver state as claimed in claim 6, it is characterised in that the control module is additionally operable to:
When the driving condition for detecting driver is in distraction state, then the road speed of vehicle driving states is reduced And/or the Function for Automatic Pilot of startup vehicle, to control the driving states of vehicle, ensure driving safety.
10. the monitoring controller for driver state as described in claim 6 to 9 any one, it is characterised in that the control module It is additionally operable to:
When the driving condition for detecting driver is in distraction state, send cue to driver to point out to drive The person of sailing notes driving safety, and other vehicles to vehicle periphery where driver send early warning signal.
CN201611076757.4A 2016-11-29 2016-11-29 Driver status monitoring method and monitoring controller for driver state Pending CN106740862A (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
CN201611076757.4A CN106740862A (en) 2016-11-29 2016-11-29 Driver status monitoring method and monitoring controller for driver state
PCT/CN2017/078423 WO2018098947A1 (en) 2016-11-29 2017-03-28 Method and device for monitoring state of driver

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201611076757.4A CN106740862A (en) 2016-11-29 2016-11-29 Driver status monitoring method and monitoring controller for driver state

Publications (1)

Publication Number Publication Date
CN106740862A true CN106740862A (en) 2017-05-31

Family

ID=58897909

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201611076757.4A Pending CN106740862A (en) 2016-11-29 2016-11-29 Driver status monitoring method and monitoring controller for driver state

Country Status (2)

Country Link
CN (1) CN106740862A (en)
WO (1) WO2018098947A1 (en)

Cited By (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107351842A (en) * 2017-06-05 2017-11-17 广西荣中科技有限责任公司 A kind of safety driving system
CN108417021A (en) * 2018-03-07 2018-08-17 京东方科技集团股份有限公司 Automobile-used information sharing system and method
CN109291794A (en) * 2018-09-28 2019-02-01 上汽通用五菱汽车股份有限公司 Driver status monitoring method, automobile and storage medium
CN109334670A (en) * 2018-12-04 2019-02-15 吉林大学 A kind of vehicle drive people monitoring and early warning method, system, equipment and storage medium
WO2019056259A1 (en) * 2017-09-21 2019-03-28 深圳传音制造有限公司 Fatigue driving warning method and terminal
CN109606375A (en) * 2018-12-26 2019-04-12 苏州智华汽车电子有限公司 A method of improving safe driving
CN109760690A (en) * 2019-01-18 2019-05-17 深圳市趣创科技有限公司 Method for detecting fatigue driving, system and storage medium
CN110287838A (en) * 2019-06-17 2019-09-27 韶关市启之信息技术有限公司 A kind of monitoring method and system for driving to play mobile phone behavior
CN110576861A (en) * 2019-08-11 2019-12-17 西藏宁算科技集团有限公司 Vehicle control method and system based on visual recognition combined with tactile recognition
CN112092898A (en) * 2019-06-17 2020-12-18 比亚迪股份有限公司 Vehicle and control method and device thereof
CN112277955A (en) * 2020-10-30 2021-01-29 安徽江淮汽车集团股份有限公司 Driving assistance method, device, equipment and storage medium

Families Citing this family (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109733280B (en) * 2018-12-05 2021-07-20 江苏大学 Vehicle safety device based on facial features of driver and control method thereof
CN112438728A (en) * 2019-08-28 2021-03-05 深圳市超捷通讯有限公司 Safe driving detection device and detection method
CN112208544B (en) * 2020-10-21 2022-10-14 合肥工业大学 Driving capability judgment method for driver, safe driving method and system thereof
CN113591533A (en) * 2021-04-27 2021-11-02 浙江工业大学之江学院 Anti-fatigue driving method, device, equipment and storage medium based on road monitoring
CN113537135A (en) * 2021-07-30 2021-10-22 三一重机有限公司 Driving monitoring method, device and system and readable storage medium

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20060011399A1 (en) * 2004-07-15 2006-01-19 International Business Machines Corporation System and method for controlling vehicle operation based on a user's facial expressions and physical state
CN104318714A (en) * 2014-11-12 2015-01-28 沈阳美行科技有限公司 Fatigue driving pre-warning method
CN105096528A (en) * 2015-08-05 2015-11-25 广州云从信息科技有限公司 Fatigue driving detection method and system
CN204801768U (en) * 2015-05-25 2015-11-25 浙江商业职业技术学院 Driver status monitoring device
CN105966404A (en) * 2015-11-06 2016-09-28 乐卡汽车智能科技(北京)有限公司 Method and device for evaluating driving behavior

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP4841425B2 (en) * 2003-06-06 2011-12-21 ボルボ テクノロジー コーポレイション Method and mechanism for controlling automobile subsystems based on driver behavior interpretation
US9308914B1 (en) * 2015-01-23 2016-04-12 Denso International America, Inc. Advanced driver assistance system for vehicle

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20060011399A1 (en) * 2004-07-15 2006-01-19 International Business Machines Corporation System and method for controlling vehicle operation based on a user's facial expressions and physical state
CN104318714A (en) * 2014-11-12 2015-01-28 沈阳美行科技有限公司 Fatigue driving pre-warning method
CN204801768U (en) * 2015-05-25 2015-11-25 浙江商业职业技术学院 Driver status monitoring device
CN105096528A (en) * 2015-08-05 2015-11-25 广州云从信息科技有限公司 Fatigue driving detection method and system
CN105966404A (en) * 2015-11-06 2016-09-28 乐卡汽车智能科技(北京)有限公司 Method and device for evaluating driving behavior

Cited By (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107351842A (en) * 2017-06-05 2017-11-17 广西荣中科技有限责任公司 A kind of safety driving system
WO2019056259A1 (en) * 2017-09-21 2019-03-28 深圳传音制造有限公司 Fatigue driving warning method and terminal
CN108417021A (en) * 2018-03-07 2018-08-17 京东方科技集团股份有限公司 Automobile-used information sharing system and method
CN108417021B (en) * 2018-03-07 2021-08-17 京东方科技集团股份有限公司 Vehicle information sharing system and method
CN109291794A (en) * 2018-09-28 2019-02-01 上汽通用五菱汽车股份有限公司 Driver status monitoring method, automobile and storage medium
CN109334670A (en) * 2018-12-04 2019-02-15 吉林大学 A kind of vehicle drive people monitoring and early warning method, system, equipment and storage medium
CN109606375A (en) * 2018-12-26 2019-04-12 苏州智华汽车电子有限公司 A method of improving safe driving
CN109760690A (en) * 2019-01-18 2019-05-17 深圳市趣创科技有限公司 Method for detecting fatigue driving, system and storage medium
CN110287838A (en) * 2019-06-17 2019-09-27 韶关市启之信息技术有限公司 A kind of monitoring method and system for driving to play mobile phone behavior
CN112092898A (en) * 2019-06-17 2020-12-18 比亚迪股份有限公司 Vehicle and control method and device thereof
CN110576861A (en) * 2019-08-11 2019-12-17 西藏宁算科技集团有限公司 Vehicle control method and system based on visual recognition combined with tactile recognition
CN112277955A (en) * 2020-10-30 2021-01-29 安徽江淮汽车集团股份有限公司 Driving assistance method, device, equipment and storage medium

Also Published As

Publication number Publication date
WO2018098947A1 (en) 2018-06-07

Similar Documents

Publication Publication Date Title
CN106740862A (en) Driver status monitoring method and monitoring controller for driver state
CN106709420B (en) Method for monitoring driving behavior of commercial vehicle driver
US9988055B1 (en) Vehicle occupant monitoring using infrared imaging
CN104146722B (en) Driving fatigue detecting and grading early warning method based on head signals
JP4845886B2 (en) Method and apparatus for generating personal alert level indications
US10538259B2 (en) Fit-for-duty detection and alerting system for rail and transit
CN106781284A (en) Trainman's driver fatigue monitor system based on Multi-information acquisition
CN106585624A (en) Driver state monitoring method and device
CN112016457A (en) Driver distraction and dangerous driving behavior recognition method, device and storage medium
CN105292125B (en) Driver state monitoring method
CN110211335A (en) The method and apparatus that the microsleep of driver used for vehicles is identified
CN109801475A (en) Method for detecting fatigue driving, device and computer readable storage medium
KR20190134909A (en) The apparatus and method for Driver Status Recognition based on Driving Status Decision Information
KR102525413B1 (en) Apparatus and method for estimating driver readiness and system and method for assisting driver
CN114463940A (en) Method and equipment for warning abnormal driving behavior of driver by lamplight
CN104376685A (en) Fatigue driving preventing vehicle control method
CN107640160A (en) Safe driving of vehicle accessory system and its control method
CN112319483A (en) Driving state improving device and driving state improving method
WO2019239658A1 (en) Cyber-attack notification device and notification method
EP3000395A1 (en) System and method for monitoring a subject's eye
CN113312958B (en) Method and device for adjusting dispatch priority based on driver state
WO2021193711A1 (en) Driving assistance device
KR101807615B1 (en) Drowsiness alert system and method for using the sleep time of the driver
Raja et al. Alcohol Detection and Emergency Alert System using IoT
KR20190009008A (en) Safety accident detection apparatus in vehicle and monitoring system comprising the same

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication

Application publication date: 20170531

RJ01 Rejection of invention patent application after publication