WO2018098947A1 - Method and device for monitoring state of driver - Google Patents

Method and device for monitoring state of driver Download PDF

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Publication number
WO2018098947A1
WO2018098947A1 PCT/CN2017/078423 CN2017078423W WO2018098947A1 WO 2018098947 A1 WO2018098947 A1 WO 2018098947A1 CN 2017078423 W CN2017078423 W CN 2017078423W WO 2018098947 A1 WO2018098947 A1 WO 2018098947A1
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WO
WIPO (PCT)
Prior art keywords
driver
state
driving
vehicle
mental
Prior art date
Application number
PCT/CN2017/078423
Other languages
French (fr)
Chinese (zh)
Inventor
刘均
宋朝忠
欧阳张鹏
Original Assignee
深圳市元征科技股份有限公司
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Publication of WO2018098947A1 publication Critical patent/WO2018098947A1/en

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Classifications

    • 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
    • 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
    • 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

Definitions

  • the present invention relates to the field of driver state monitoring technologies, and in particular, to a driver state monitoring method and a driver state monitoring device.
  • the means for implementing the driver status monitoring function is generally a wristband.
  • the driver wears the wristband and monitors the driver's heart rate and other data by using the sensor monitoring function of the wristband.
  • the heart rate is greater than a certain threshold, the driver is judged to be in a state of mental disentrance, and a reminder signal is issued to prompt the driver to pay attention to driving safety.
  • the main object of the present invention is to provide a driver state monitoring method and a driver state monitoring device, which are intended to solve the problem that the driver cannot accurately monitor the driving state of the driver during driving, and the driving process is safe. There are no technical issues to guarantee.
  • an embodiment of the present invention provides a driver status monitoring method, where the driver status monitoring method includes:
  • the driving state of the vehicle is controlled to ensure driving safety.
  • the facial feature data includes a blink frequency, a closed eye duration, a low frequency,
  • the step of detecting whether the driving state of the driver is in a mentally unfocused state according to the facial feature data further includes:
  • the driver's driving state is judged to be in spirit Concentrated state.
  • the step of detecting whether the driving state of the driver is in a mentally unfocused state according to the facial feature data further includes:
  • the step of controlling the driving state of the vehicle to ensure driving safety when the driving state of the driver is detected to be in a state of mental disenteration further includes:
  • the driving speed of the vehicle driving state is lowered and/or the automatic driving function of the vehicle is started to control the driving state of the vehicle to ensure driving safety.
  • the step of controlling the driving state of the vehicle to ensure driving safety when the driving state of the driver is detected to be in a state of mental disenteration further includes:
  • a warning signal is sent to the driver to alert the driver to driving safety, and an early warning signal is sent to other vehicles around the driver's vehicle.
  • the present invention also provides a driver state monitoring device, and the driver state monitoring device includes:
  • An acquisition module configured to collect facial feature data of the driver when detecting that the driver is in a driving state
  • a detecting module configured to detect, according to the facial feature data, whether a driving state of the driver is in a state of mental disentrance
  • the control module is configured to control the driving state of the vehicle to ensure driving safety when detecting that the driving state of the driver is in a state of mental disentrance.
  • the facial feature data includes a blink frequency, a closed eye duration, and a low frequency
  • the detecting module is further configured to:
  • the driver's driving state is judged to be in spirit Concentrated state.
  • the detecting module further includes:
  • a detecting unit configured to detect whether a driving time of the driver is greater than a preset threshold
  • the determining unit is configured to determine that the driving state of the driver is in a state of mental disentrance when detecting that the driving time of the driver is greater than a preset threshold.
  • control module is further configured to:
  • the driving speed of the vehicle driving state is lowered and/or the automatic driving function of the vehicle is started to control the driving state of the vehicle to ensure driving safety.
  • control module is further configured to:
  • a warning signal is sent to the driver to alert the driver to driving safety, and an early warning signal is sent to other vehicles around the driver's vehicle.
  • the driving state of the vehicle is controlled to ensure driving safety.
  • the driving state of the driver can be accurately monitored during the driving of the vehicle, the driver's driving state is truly reflected, and the vehicle is controlled according to the driving state of the driver to ensure the driver is driving. Driving safety in the process.
  • FIG. 1 is a schematic diagram of an alternative scenario of each embodiment of a driver state monitoring method according to the present invention
  • FIG. 2 is a schematic flow chart of a first embodiment of a driver state monitoring method according to the present invention
  • FIG. 3 is a schematic flowchart of a step of detecting, according to the facial feature data, whether a driving state of a driver is in a state of mental disentrance according to the third embodiment of the driver state monitoring method of the present invention
  • FIG. 4 is a schematic block diagram of a first embodiment of a driver state monitoring device according to the present invention.
  • FIG. 5 is a schematic diagram of a refinement module of a detection module in a third embodiment of the driver state monitoring device of the present invention.
  • the present invention provides a driver state monitoring method, which is mainly applied to a driver state monitoring device.
  • the driver state monitoring method includes :
  • Step S10 collecting facial feature data of the driver when detecting that the driver is in a driving state
  • FIG. 1 is a schematic diagram of a scene according to various embodiments of the present invention, where A is a driver state monitoring device, B is a driver, and C is a vehicle.
  • the driver state monitoring device A may be an in-vehicle camera device, a closed-circuit monitoring device, etc., and the driver state monitoring device A is generally equipped with a camera and an analysis processing component, wherein the camera is mainly used for detecting and collecting the driver B during driving.
  • the facial feature data is mainly used to analyze the facial feature data detected and collected by the camera to obtain the analysis result of the mental state of the driver B by the driver state monitoring device A.
  • the driving state refers to a state in which the driver B controls the vehicle C to start exercising, and the main object is the driver B.
  • the facial feature data is an important reference data in the technical solution of the present invention, including but not limited to the following examples: closed eye duration, blink frequency, yawning frequency, and the like. Examples of these facial features have general facial features and representations.
  • the collection of facial features data of the driver B enables the driver state monitoring device A to more accurately analyze the driving state of the driver B, which is performed on the next function. Prerequisites.
  • Step S20 detecting, according to the facial feature data, whether the driving state of the driver is in a state of mental disentrance
  • the driver state monitoring device can detect the facial feature data to obtain the driving state of the driver, and by analyzing the driving state of the driver, whether the driving state of the driver is in the spirit Not concentrated.
  • the driver's facial features can truly reflect the driver's mental state. In real life, if the driver frequently yawns, it means that the driver's state of driving the vehicle is already in a state of fatigue; if the driver's eyes are always closed, the driver is proved to be driving. The driver did not pay attention to the front of the vehicle in the driving direction, and the driver was in a dangerous driving state.
  • the above example is only an explanation of some scenes in real life, and the above scene is quantized into a detection function in the driver state monitoring device, which is equivalent to detecting the frequency of the driver's yawning or the driver's closed eye time, through the pre-existing driver.
  • the reference data in the state monitoring device is compared to obtain whether the driving state of the driver is in a state of mental disentrance.
  • step S30 when it is detected that the driving state of the driver is in a state of mental disentrance, the driving state of the vehicle is controlled to ensure driving safety.
  • the driver state monitoring device detects that the driver's driving state is in a state of mental disentrance, it is assumed that the driver's driving safety is threatened at this time. At this time, since the driver's driving state cannot be quickly adjusted, and the driver may be unconscious about his own driving state, that is, the driver has not realized that the driving safety of the vehicle may be threatened, so the driver state monitoring The device needs to make certain adjustments to the driving state of the vehicle to assist in controlling the driving state of the vehicle and to ensure driving safety of the driver and the vehicle.
  • the driving state of the vehicle is controlled to ensure driving safety.
  • the driving state of the driver can be accurately monitored during the driving of the vehicle, the driver's driving state is truly reflected, and the vehicle is controlled according to the driving state of the driver to ensure the driver is driving. Driving safety in the state.
  • the face Characteristic data includes blink frequency, closed eye duration, and low frequency.
  • the step of detecting whether the driving state of the driver is in a mentally unfocused state according to the facial feature data further includes:
  • the driver's driving state is judged to be in spirit Concentrated state.
  • the facial feature data collected by the driver state monitoring device includes characteristic data such as blink frequency, closed eye duration, and head frequency.
  • the blink frequency refers to the number of times the driver blinks in a unit time.
  • the length of the closed eye refers to the length of time that the driver passes each time the eye is closed during the driving of the vehicle, including the length of time during which the eye is closed to open the eye during the blinking operation, and the driver is The length of time that is passed during the process of closing the eye to opening the eye when the eye is not blinking.
  • the head frequency refers to the number of times the driver bows in unit time.
  • the vehicle is still advancing and is in a driving state, and these actions invisibly affect or reflect the driving state of the driver's driving vehicle.
  • the driver's blinking frequency collected by the driver's condition monitoring device is too frequent, the length of the closed eye is too long, or the frequency of the head is frequent, it is proved that the driver's eyes may be in a state of fatigue. If the eye length is too long, the driver may be mentally ill. Confused or even dozing off, the lowering frequency is greater than the preset low frequency means that the driver does not focus on the condition of the road ahead in the driving state, and the above situation will seriously threaten the driving safety of the driver and the vehicle itself.
  • the preset blink frequency, the preset closed eye duration, and the preset low frequency need to be set in the driver state monitoring device, and when the blink frequency is greater than the preset blink frequency, the closed eye duration is greater than the preset closed eye.
  • the duration and the lower frequency are greater than the preset low frequency, it means that the driving safety of the vehicle will be threatened under the current situation, and the driver cannot concentrate and pay attention to drive the vehicle, that is, it cannot be normal. Safely performing the work of driving the vehicle is in a state of mental distraction.
  • the step of detecting whether the driving state of the driver is in a state of mental disenteration according to the facial feature data further includes:
  • Step S21 detecting whether the driving time of the driver is greater than a preset threshold
  • step S22 when it is detected that the driving time of the driver is greater than a preset threshold, it is determined that the driving state of the driver is in a state of mental disentrance.
  • the driving time refers to the length of time that the driver passes in the driving state from the time when the vehicle is started to drive to the time point when the vehicle is currently driving. For example, the driver starts driving at 7:00 in the morning and is in the driving state at 9 o'clock in the morning, then the whole process lasts for one hour, assuming that the preset preset threshold of the current driver state monitoring device is one. In the hour, when the driver state monitoring device detects that the driving time of the driver is greater than a preset threshold, it is determined that the driver's current driving state is in a state of mental disentrance.
  • a fourth embodiment of the driver state monitoring method is proposed.
  • the difference between the fourth embodiment and the first embodiment is that the The step of controlling the driving state of the vehicle to ensure driving safety when detecting that the driving state of the driver is in a state of mental discomfort further includes:
  • the driving speed of the vehicle driving state is lowered and/or the automatic driving function of the vehicle is started to control the driving state of the vehicle to ensure driving safety.
  • the driver state monitoring device is required to make preventive measures to assist in controlling the driving state of the vehicle to ensure driving safety.
  • the method of ensuring driving safety can be divided into two types, which can reduce the driving speed of the vehicle in the driving state, or start the automatic driving function of the vehicle, and control the driving state of the vehicle through the intelligent program system, thereby eliminating the driving state of the driver. Determine the non-controllable factors, complete the automatic driving operation, and maximize the driving safety in the driving state.
  • the driver state monitoring device can control the vehicle based on the CAN bus protocol, as an international standardized serial communication protocol, the CAN bus protocol has security, comfort, convenience, low pollution and low cost. Advantages can provide powerful technical support for embodiments of the present invention.
  • the above method for controlling the driving state of the vehicle can enable the driver to perceive the driver state monitoring device to judge the current driving safety in a short time, thereby improving the driver's vigilance, focusing on the current driving state and driving safety of the vehicle. .
  • a fifth embodiment of the driver state monitoring method is proposed.
  • the difference between the fifth embodiment and the fourth embodiment is that the The step of controlling the driving state of the vehicle to ensure driving safety when detecting that the driving state of the driver is in a state of mental discomfort further includes:
  • a warning signal is sent to the driver to alert the driver to driving safety, and an early warning signal is sent to other vehicles around the driver's vehicle.
  • the driver state monitoring device Since the driver state monitoring device performs the detection function and the analysis function of the driver's driving state in real time, the function of controlling the driving state of the vehicle is also performed in real time, in which the driver's mental state is not concentrated, and the reaction The ability is also reduced. Therefore, the driver state monitoring device needs to prompt the driver to issue a warning signal that the driver can perceive, prompting the driver to pay attention to driving safety.
  • the prompt signal can be a voice prompt, a light prompt, etc., so that the driver can quickly adjust his driving state, improve alertness, and pay attention to driving safety.
  • the driver status monitoring device can also send an early warning signal to other vehicles around the vehicle where the driver is located, for example, by flashing lights, voice reminders or external display of the vehicle for text warning to remind other vehicles to stay with the driver's vehicle. A certain distance between the vehicles will further ensure the driving safety of the vehicle.
  • the present invention also provides a driver state monitoring device.
  • the driver state monitoring device includes:
  • the collecting module 10 is configured to collect facial feature data of the driver when detecting that the driver is in a driving state
  • FIG. 1 is a schematic diagram of a scene according to various embodiments of the present invention, where A is a driver state monitoring device, B is a driver, and C is a vehicle.
  • the driver state monitoring device A may be an in-vehicle camera device, a closed-circuit monitoring device, etc., and the driver state monitoring device A is generally equipped with a camera and an analysis processing component, wherein the camera is mainly used for detecting and collecting the driver B during driving.
  • the facial feature data is mainly used to analyze the facial feature data detected and collected by the camera to obtain the analysis result of the mental state of the driver B by the driver state monitoring device A.
  • the driving state refers to a state in which the driver B controls the vehicle C to start exercising, and the main object is the driver B.
  • the facial feature data is an important reference data in the technical solution of the present invention, including but not limited to the following examples: closed eye duration, blink frequency, yawning frequency, and the like. Examples of these facial features have general facial features and representations.
  • the collection of facial features data of the driver B enables the driver state monitoring device A to more accurately analyze the driving state of the driver B, which is performed on the next function. Prerequisites.
  • the detecting module 20 is configured to detect, according to the facial feature data, whether the driving state of the driver is in a state of mental disentrance;
  • the driver state monitoring device can detect the facial feature data to obtain the driving state of the driver, and by analyzing the driving state of the driver, whether the driving state of the driver is in the spirit Not concentrated.
  • the driver's facial features can truly reflect the driver's mental state. In real life, if the driver frequently yawns, it means that the driver's state of driving the vehicle is already in a state of fatigue; if the driver's eyes are always closed, the driver is proved to be driving. The driver did not pay attention to the front of the vehicle in the driving direction, and the driver was in a dangerous driving state.
  • the above examples are only explanations of some scenes in real life, and quantifying the above scenes into the detection function in the driver state monitoring device is equivalent to detecting the frequency of the driver's yawning and the driver's closed eye time, through the pre-existing driver.
  • the reference thresholds in the state monitoring device are compared to obtain whether the driver's driving state is in a state of mental disentrance.
  • the control module 30 is configured to control the driving state of the vehicle to ensure driving safety when detecting that the driving state of the driver is in a state of mental disentrance.
  • the driver state monitoring device detects that the driver's driving state is in a state of mental disentrance, it is assumed that the driver's driving safety is threatened at this time. At this time, since the driver's driving state cannot be quickly adjusted, and the driver may be unconscious about his own driving state, that is, the driver has not realized that the driving safety of the vehicle may be threatened, so the driver state monitoring The device needs to make certain adjustments to the driving state of the vehicle to assist in controlling the driving state of the vehicle and to ensure driving safety of the driver and the vehicle.
  • the driving state of the vehicle is controlled to ensure driving safety.
  • the driving state of the driver can be accurately monitored during the driving of the vehicle, the driver's driving state is truly reflected, and the vehicle is controlled according to the driving state of the driver to ensure the driver is driving. Driving safety in the state.
  • the detection module 20 is further configured to:
  • the driver's driving state is judged to be in spirit Concentrated state.
  • the facial feature data collected by the driver state monitoring device includes characteristic data such as blink frequency, closed eye duration, and head frequency.
  • the blink frequency refers to the number of times the driver blinks in a unit time.
  • the length of the closed eye refers to the length of time that the driver passes each time the eye is closed during the driving of the vehicle, including the length of time during which the eye is closed to open the eye during the blinking operation, and the driver is The length of time that is passed during the process of closing the eye to opening the eye when the eye is not blinking.
  • the head frequency refers to the number of times the driver bows in unit time.
  • the vehicle is still advancing and is in a driving state, and these actions invisibly affect or reflect the driving state of the driver's driving vehicle.
  • the driver's blinking frequency collected by the driver's condition monitoring device is too frequent, the length of the closed eye is too long, or the frequency of the head is frequent, it is proved that the driver's eyes may be in a state of fatigue. If the eye length is too long, the driver may be mentally ill. Confused or even dozing off, the lowering frequency is greater than the preset low frequency means that the driver does not focus on the condition of the road ahead in the driving state, and the above situation will seriously threaten the driving safety of the driver and the vehicle itself.
  • the preset blink frequency, the preset closed eye duration, and the preset low frequency need to be set in the driver state monitoring device, and when the blink frequency is greater than the preset blink frequency, the closed eye duration is greater than the preset closed eye.
  • the duration and the lower frequency are greater than the preset low frequency, it means that the driving safety of the vehicle will be threatened under the current situation, and the driver cannot concentrate and pay attention to drive the vehicle, that is, it cannot be normal. Safely performing the work of driving the vehicle is in a state of mental distraction.
  • the detecting module 20 includes:
  • the detecting unit 21 is configured to detect whether the driving time of the driver is greater than a preset threshold
  • the determining unit 22 is configured to determine that the driving state of the driver is in a state of mental disentanglement when it is detected that the driving time of the driver is greater than a preset threshold.
  • the driving time refers to the length of time that the driver passes in the driving state from the time when the vehicle is started to drive to the time point when the vehicle is currently driving. For example, the driver starts driving at 7:00 in the morning and is in the driving state at 9 o'clock in the morning, then the whole process lasts for one hour, assuming that the preset preset threshold of the current driver state monitoring device is one. In the hour, when the driver state monitoring device detects that the driving time of the driver is greater than a preset threshold, it is determined that the driver's current driving state is in a state of mental disentrance.
  • a fourth embodiment of the driver state monitoring device is proposed, and the difference between the fourth embodiment and the first embodiment is that the control Module 30 is also used to:
  • the driving speed of the vehicle driving state is lowered and/or the automatic driving function of the vehicle is started to control the driving state of the vehicle to ensure driving safety.
  • the driver state monitoring device is required to make preventive measures to assist in controlling the driving state of the vehicle to ensure driving safety.
  • the method of ensuring driving safety can be divided into two types, which can reduce the driving speed of the vehicle in the driving state, or start the automatic driving function of the vehicle, and control the driving state of the vehicle through the intelligent program system, thereby eliminating the driving state of the driver. Determine the non-controllable factors, complete the automatic driving operation, and maximize the driving safety in the driving state.
  • the driver state monitoring device can control the vehicle based on the CAN bus protocol, as an international standardized serial communication protocol, the CAN bus protocol has security, comfort, convenience, low pollution and low cost. Advantages can provide powerful technical support for embodiments of the present invention.
  • the above method for controlling the driving state of the vehicle can enable the driver to perceive the driver state monitoring device to judge the current driving safety in a short time, thereby improving the driver's vigilance, focusing on the current driving state and driving safety of the vehicle. .
  • a fifth embodiment of the driver state monitoring device is proposed.
  • the difference between the fifth embodiment and the fourth embodiment is that the control Module 30 is also used to:
  • a warning signal is sent to the driver to alert the driver to driving safety, and an early warning signal is sent to other vehicles around the driver's vehicle.
  • the driver state monitoring device Since the driver state monitoring device performs the detection function and the analysis function of the driver's driving state in real time, the function of controlling the driving state of the vehicle is also performed in real time, in which the driver's mental state is not concentrated, and the reaction The ability is also reduced. Therefore, the driver state monitoring device needs to prompt the driver to issue a warning signal that the driver can perceive, prompting the driver to pay attention to driving safety.
  • the prompt signal can be a voice prompt, a light prompt, etc., so that the driver can quickly adjust his driving state, improve alertness, and pay attention to driving safety.
  • the driver status monitoring device can also send an early warning signal to other vehicles around the vehicle where the driver is located, for example, by flashing lights, voice reminders or external display of the vehicle for text warning to remind other vehicles to stay with the driver's vehicle. A certain distance between the vehicles will further ensure the driving safety of the vehicle.
  • the foregoing embodiment method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be through hardware, but in many cases, the former is better.
  • Implementation Based on such understanding, the technical solution of the present invention, which is essential or contributes to the prior art, may be embodied in the form of a software product stored in a storage medium (such as ROM/RAM, disk,
  • the optical disc includes a number of instructions for causing a terminal device (which may be a cell phone, a computer, a server, an air conditioner, or a network device, etc.) to perform the methods described in various embodiments of the present invention.

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  • 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

Provided are a method and device for monitoring a state of a driver. The method for monitoring a state of a driver comprises: when a driver is detected to be in a driving state, acquiring facial feature data of the driver; detecting, according to the facial feature data, whether the driver is in a distracted driving state; and if so, controlling a motion state of a vehicle to ensure safety of the driver. The present invention collects a facial feature of a driver to detect a driving state of the driver, and provides auxiliary control with respect to a motion state of a vehicle, thereby maximizing driving safety for the driver.

Description

驾驶员状态监控方法及驾驶员状态监控装置  Driver status monitoring method and driver status monitoring device
技术领域Technical field
本发明涉及驾驶员状态监控技术领域,尤其涉及一种驾驶员状态监控方法及驾驶员状态监控装置。The present invention relates to the field of driver state monitoring technologies, and in particular, to a driver state monitoring method and a driver state monitoring device.
背景技术Background technique
现实生活中,驾驶员在驾驶车辆时,其驾驶状态是影响到驾驶安全问题的重要因素。为保障驾驶过程中的驾驶安全,需要对驾驶员的驾驶状态进行监测,并依据其监测结果协调控制车辆的行车状态。In real life, when a driver drives a vehicle, his driving state is an important factor affecting driving safety issues. In order to ensure driving safety during driving, it is necessary to monitor the driving state of the driver and coordinately control the driving state of the vehicle according to the monitoring result.
在现有技术中,实现驾驶员状态监控功能的装置一般是手环。驾驶员佩戴该手环,利用手环的传感器监控功能监控驾驶员的心率等数据,当心率大于某一阈值时,则判断驾驶员处于精神不集中状态,发出提醒信号提示驾驶员注意驾驶安全。In the prior art, the means for implementing the driver status monitoring function is generally a wristband. The driver wears the wristband and monitors the driver's heart rate and other data by using the sensor monitoring function of the wristband. When the heart rate is greater than a certain threshold, the driver is judged to be in a state of mental disentrance, and a reminder signal is issued to prompt the driver to pay attention to driving safety.
但是,上述方法存在一个缺陷,驾驶员在驾驶车辆的过程中,其身体特征数据影响因素较大,例如驾驶员的情绪变化,气温的变化等等,都会引起驾驶员的心率等数据的波动,导致手环测得的数据并不严谨,使得基于这些数据的判断结果的可靠性不高,无法真实地反应出驾驶员真实的驾驶状态,造成无法准确地对驾驶员的驾驶状态进行监控,极大地影响了驾驶过程中的驾驶安全。However, there is a drawback in the above method. In the process of driving the vehicle, the driver has a large influence factor on the body characteristic data, such as the driver's emotional changes, temperature changes, etc., which may cause fluctuations in the driver's heart rate and the like. The data measured by the bracelet is not rigorous, so the reliability of the judgment based on these data is not high enough to truly reflect the driver's true driving state, which makes it impossible to accurately monitor the driver's driving state. The earth affects driving safety during driving.
发明内容Summary of the invention
本发明的主要目的在于提供一种驾驶员状态监控方法及驾驶员状态监控装置,旨在解决驾驶员在驾驶过程中,无法准确地对驾驶员的驾驶状态进行监控,导致驾驶过程中驾驶安全得不到保障的技术问题。The main object of the present invention is to provide a driver state monitoring method and a driver state monitoring device, which are intended to solve the problem that the driver cannot accurately monitor the driving state of the driver during driving, and the driving process is safe. There are no technical issues to guarantee.
为实现上述目的,本发明实施例提供一种驾驶员状态监控方法,所述驾驶员状态监控方法包括:To achieve the above objective, an embodiment of the present invention provides a driver status monitoring method, where the driver status monitoring method includes:
当检测到驾驶员处于驾驶状态时,采集驾驶员的面部特征数据;Collecting facial feature data of the driver when detecting that the driver is in a driving state;
根据所述面部特征数据,检测驾驶员的驾驶状态是否处于精神不集中状态;Determining, according to the facial feature data, whether the driving state of the driver is in a state of mental disentrance;
当检测到驾驶员的驾驶状态处于精神不集中状态时,控制车辆的行车状态,以保障驾驶安全。When it is detected that the driving state of the driver is in a state of mental disentrance, the driving state of the vehicle is controlled to ensure driving safety.
可选地,,所述面部特征数据包括眨眼频率、闭眼时长、低头频率,Optionally, the facial feature data includes a blink frequency, a closed eye duration, a low frequency,
所述根据所述面部特征数据,检测驾驶员的驾驶状态是否处于精神不集中状态的步骤还包括:The step of detecting whether the driving state of the driver is in a mentally unfocused state according to the facial feature data further includes:
当检测到所述眨眼频率大于预设眨眼频率、闭眼时长大于预设闭眼时长、低头频率大于预设低头频率中的一个条件或多个条件成立时,判断驾驶员的驾驶状态处于精神不集中状态。When it is detected that the blink frequency is greater than the preset blink frequency, the closed eye duration is greater than the preset closed eye duration, the lower frequency is greater than the preset low frequency, or a plurality of conditions are satisfied, the driver's driving state is judged to be in spirit Concentrated state.
可选地,所述根据所述面部特征数据,检测驾驶员的驾驶状态是否处于精神不集中状态的步骤还包括:Optionally, the step of detecting whether the driving state of the driver is in a mentally unfocused state according to the facial feature data further includes:
检测驾驶员的驾驶时间是否大于预设阈值;Detecting whether the driving time of the driver is greater than a preset threshold;
当检测到驾驶员的驾驶时间大于预设阈值时,则判断驾驶员的驾驶状态处于精神不集中状态。When it is detected that the driving time of the driver is greater than a preset threshold, it is determined that the driving state of the driver is in a state of mental disentrance.
可选地,所述当检测到驾驶员的驾驶状态处于精神不集中状态时,控制车辆的行车状态,以保障驾驶安全的步骤还包括:Optionally, the step of controlling the driving state of the vehicle to ensure driving safety when the driving state of the driver is detected to be in a state of mental disenteration further includes:
当检测到驾驶员的驾驶状态处于精神不集中状态,则降低车辆行车状态的行车速度和/或启动车辆的自动驾驶功能,以控制车辆的行车状态,保障驾驶安全。When it is detected that the driving state of the driver is in a state of mental disentrance, the driving speed of the vehicle driving state is lowered and/or the automatic driving function of the vehicle is started to control the driving state of the vehicle to ensure driving safety.
可选地,所述当检测到驾驶员的驾驶状态处于精神不集中状态时,控制车辆的行车状态,以保障驾驶安全的步骤还包括:Optionally, the step of controlling the driving state of the vehicle to ensure driving safety when the driving state of the driver is detected to be in a state of mental disenteration further includes:
当检测到驾驶员的驾驶状态处于精神不集中状态时,向驾驶员发出提示信号以提示驾驶员注意驾驶安全,并向驾驶员所在车辆周围的其他车辆发出预警信号。When it is detected that the driver's driving state is in a state of mental disentrance, a warning signal is sent to the driver to alert the driver to driving safety, and an early warning signal is sent to other vehicles around the driver's vehicle.
此外,为实现上述目的,本发明还提供一种驾驶员状态监控装置,所述驾驶员状态监控装置包括:In addition, in order to achieve the above object, the present invention also provides a driver state monitoring device, and the driver state monitoring device includes:
采集模块,用于当检测到驾驶员处于驾驶状态时,采集驾驶员的面部特征数据;An acquisition module, configured to collect facial feature data of the driver when detecting that the driver is in a driving state;
检测模块,用于根据所述面部特征数据,检测驾驶员的驾驶状态是否处于精神不集中状态;a detecting module, configured to detect, according to the facial feature data, whether a driving state of the driver is in a state of mental disentrance;
控制模块,用于当检测到驾驶员的驾驶状态处于精神不集中状态时,控制车辆的行车状态,以保障驾驶安全。The control module is configured to control the driving state of the vehicle to ensure driving safety when detecting that the driving state of the driver is in a state of mental disentrance.
可选地,所述面部特征数据包括眨眼频率、闭眼时长、低头频率,所述检测模块还用于:Optionally, the facial feature data includes a blink frequency, a closed eye duration, and a low frequency, and the detecting module is further configured to:
当检测到所述眨眼频率大于预设眨眼频率、闭眼时长大于预设闭眼时长、低头频率大于预设低头频率中的一个条件或多个条件成立时,判断驾驶员的驾驶状态处于精神不集中状态。When it is detected that the blink frequency is greater than the preset blink frequency, the closed eye duration is greater than the preset closed eye duration, the lower frequency is greater than the preset low frequency, or a plurality of conditions are satisfied, the driver's driving state is judged to be in spirit Concentrated state.
可选地,所述检测模块还包括:Optionally, the detecting module further includes:
检测单元,用于检测驾驶员的驾驶时间是否大于预设阈值;a detecting unit, configured to detect whether a driving time of the driver is greater than a preset threshold;
判断单元,用于当检测到驾驶员的驾驶时间大于预设阈值时,则判断驾驶员的驾驶状态处于精神不集中状态。The determining unit is configured to determine that the driving state of the driver is in a state of mental disentrance when detecting that the driving time of the driver is greater than a preset threshold.
可选地,所述控制模块还用于:Optionally, the control module is further configured to:
当检测到驾驶员的驾驶状态处于精神不集中状态,则降低车辆行车状态的行车速度和/或启动车辆的自动驾驶功能,以控制车辆的行车状态,保障驾驶安全。When it is detected that the driving state of the driver is in a state of mental disentrance, the driving speed of the vehicle driving state is lowered and/or the automatic driving function of the vehicle is started to control the driving state of the vehicle to ensure driving safety.
可选地,所述控制模块还用于:Optionally, the control module is further configured to:
当检测到驾驶员的驾驶状态处于精神不集中状态时,向驾驶员发出提示信号以提示驾驶员注意驾驶安全,并向驾驶员所在车辆周围的其他车辆发出预警信号。When it is detected that the driver's driving state is in a state of mental disentrance, a warning signal is sent to the driver to alert the driver to driving safety, and an early warning signal is sent to other vehicles around the driver's vehicle.
在本发明技术方案中,首先当检测到驾驶员处于驾驶状态时,采集驾驶员的面部特征数据;然后根据所述面部特征数据,检测驾驶员的驾驶状态是否处于精神不集中状态;最后当检测到驾驶员的驾驶状态处于精神不集中状态时,控制车辆的行车状态,以保障驾驶安全。通过上述方式,在驾驶车辆的过程中能够对驾驶员的驾驶状态进行准确监控,真实反应驾驶员的驾驶状态,并对根据驾驶员的驾驶状态对车辆做出相应的控制,保障驾驶员在驾驶过程中的驾驶安全。In the technical solution of the present invention, first, when detecting that the driver is in a driving state, collecting facial feature data of the driver; and then detecting, according to the facial feature data, whether the driving state of the driver is in a state of mental disentrance; When the driving state of the driver is in a state of mental disentrance, the driving state of the vehicle is controlled to ensure driving safety. In the above manner, the driving state of the driver can be accurately monitored during the driving of the vehicle, the driver's driving state is truly reflected, and the vehicle is controlled according to the driving state of the driver to ensure the driver is driving. Driving safety in the process.
附图说明DRAWINGS
图1为本发明驾驶员状态监控方法中各个实施例可选的场景示意图;FIG. 1 is a schematic diagram of an alternative scenario of each embodiment of a driver state monitoring method according to the present invention; FIG.
图2为本发明驾驶员状态监控方法第一实施例的流程示意图;2 is a schematic flow chart of a first embodiment of a driver state monitoring method according to the present invention;
图3为本发明驾驶员状态监控方法第三实施例中所述根据所述面部特征数据,检测驾驶员的驾驶状态是否处于精神不集中状态的步骤的流程示意图;3 is a schematic flowchart of a step of detecting, according to the facial feature data, whether a driving state of a driver is in a state of mental disentrance according to the third embodiment of the driver state monitoring method of the present invention;
图4为本发明驾驶员状态监控装置第一实施例的模块示意图;4 is a schematic block diagram of a first embodiment of a driver state monitoring device according to the present invention;
图5是本发明驾驶员状态监控装置第三实施例中检测模块的细化模块示意图。FIG. 5 is a schematic diagram of a refinement module of a detection module in a third embodiment of the driver state monitoring device of the present invention.
本发明目的的实现、功能特点及优点将结合实施例,参考附图做进一步说明。The implementation, functional features and advantages of the present invention will be further described with reference to the accompanying drawings.
具体实施方式detailed description
应当理解,此处所描述的具体实施例仅仅用以解释本发明,并不用于限定本发明。It is understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
现在将参考附图描述实现本发明各个实施例的驾驶员状态监控装置。在后续的描述中,使用用于表示元件的诸如“模块”、“部件”或“单元”的后缀仅为了有利于本发明的说明,其本身并没有特定的意义。因此,“模块”与“部件”可以混合地使用。A driver state monitoring device that implements various embodiments of the present invention will now be described with reference to the accompanying drawings. In the following description, the use of suffixes such as "module", "component" or "unit" for indicating an element is merely an explanation for facilitating the present invention, and does not have a specific meaning per se. Therefore, "module" and "component" can be used in combination.
参考图2,本发明提供一种驾驶员状态监控方法,该驾驶员状态监控方法主要应用于驾驶员状态监控装置上,在驾驶员状态监控方法第一实施例中,该驾驶员状态监控方法包括:Referring to FIG. 2, the present invention provides a driver state monitoring method, which is mainly applied to a driver state monitoring device. In a first embodiment of a driver state monitoring method, the driver state monitoring method includes :
步骤S10,当检测到驾驶员处于驾驶状态时,采集驾驶员的面部特征数据;Step S10, collecting facial feature data of the driver when detecting that the driver is in a driving state;
参照图1,图1为本发明各个实施例的一场景示意图,A为驾驶员状态监控装置,B为驾驶员,C为车辆。上述驾驶员状态监控装置A可以为车载摄像装置、闭路监控装置等设备,该驾驶员状态监控装置A一般配备有摄像头和分析处理元件,其中摄像头主要应用于检测和采集驾驶员B在驾驶过程中的面部特征数据,而分析处理元件主要应用于分析摄像头所检测和采集到的面部特征数据,以获得驾驶员状态监控装置A对驾驶员B精神状态的分析结果。在本实施例中,所述驾驶状态指的是驾驶员B控制车辆C开始行使的状态,其主体对象为驾驶员B。所述面部特征数据是本发明技术方案中重要的参考数据,包括但不限于以下所举的例子:闭眼时长、眨眼频率、打呵欠的频率等等。这些面部特征的举例具有普遍的面部特征及代表性,对驾驶员B面部特征数据的采集,能够使得驾驶员状态监控装置A更精准地分析驾驶员B的驾驶状态,是对下一步功能执行的前提条件。Referring to FIG. 1, FIG. 1 is a schematic diagram of a scene according to various embodiments of the present invention, where A is a driver state monitoring device, B is a driver, and C is a vehicle. The driver state monitoring device A may be an in-vehicle camera device, a closed-circuit monitoring device, etc., and the driver state monitoring device A is generally equipped with a camera and an analysis processing component, wherein the camera is mainly used for detecting and collecting the driver B during driving. The facial feature data is mainly used to analyze the facial feature data detected and collected by the camera to obtain the analysis result of the mental state of the driver B by the driver state monitoring device A. In the present embodiment, the driving state refers to a state in which the driver B controls the vehicle C to start exercising, and the main object is the driver B. The facial feature data is an important reference data in the technical solution of the present invention, including but not limited to the following examples: closed eye duration, blink frequency, yawning frequency, and the like. Examples of these facial features have general facial features and representations. The collection of facial features data of the driver B enables the driver state monitoring device A to more accurately analyze the driving state of the driver B, which is performed on the next function. Prerequisites.
步骤S20,根据所述面部特征数据,检测驾驶员的驾驶状态是否处于精神不集中状态;Step S20, detecting, according to the facial feature data, whether the driving state of the driver is in a state of mental disentrance;
根据采集到的驾驶员的面部特征数据,驾驶员状态监控装置能够检测所述面部特征数据,以获得驾驶员的驾驶状态,通过对驾驶员驾驶状态的分析,获知驾驶员的驾驶状态是否处于精神不集中状态。驾驶员的面部特征能够真实反应驾驶员的精神状态,现实生活中,若驾驶员频繁打哈欠,意味着驾驶员驾驶车辆的状态已经处于疲劳状态中;若驾驶员双眼一直紧闭,则证明驾驶员在驾驶过程中没有关注车辆行进方向的正前方,此时驾驶员处于危险驾驶的状态中。以上举例只是现实生活中部分场景的解释说明,而将上述场景量化为驾驶员状态监控装置中的检测功能,相当于检测驾驶员打呵欠的频率或驾驶员闭眼时间,通过与预存在驾驶员状态监控装置中的参考数据进行比对,从而对应获得驾驶员的驾驶状态是否处于精神不集中状态。According to the collected facial feature data of the driver, the driver state monitoring device can detect the facial feature data to obtain the driving state of the driver, and by analyzing the driving state of the driver, whether the driving state of the driver is in the spirit Not concentrated. The driver's facial features can truly reflect the driver's mental state. In real life, if the driver frequently yawns, it means that the driver's state of driving the vehicle is already in a state of fatigue; if the driver's eyes are always closed, the driver is proved to be driving. The driver did not pay attention to the front of the vehicle in the driving direction, and the driver was in a dangerous driving state. The above example is only an explanation of some scenes in real life, and the above scene is quantized into a detection function in the driver state monitoring device, which is equivalent to detecting the frequency of the driver's yawning or the driver's closed eye time, through the pre-existing driver. The reference data in the state monitoring device is compared to obtain whether the driving state of the driver is in a state of mental disentrance.
步骤S30,当检测到驾驶员的驾驶状态处于精神不集中状态时,控制车辆的行车状态,以保障驾驶安全。In step S30, when it is detected that the driving state of the driver is in a state of mental disentrance, the driving state of the vehicle is controlled to ensure driving safety.
若驾驶员状态监控装置检测到驾驶员的驾驶状态处于精神不集中状态,那么以为着此时驾驶员的驾驶安全受到一定的威胁。此时,由于驾驶员的驾驶状态是无法快速进行调整的,而驾驶员对自己本身的驾驶状态可能是无意识的,即驾驶员尚未意识到车辆的驾驶安全可能正遭受威胁,因此驾驶员状态监控装置需要对车辆的行车状态做出一定的调整,以辅助控制车辆的行车状态,保障驾驶员和车辆的驾驶安全。If the driver state monitoring device detects that the driver's driving state is in a state of mental disentrance, it is assumed that the driver's driving safety is threatened at this time. At this time, since the driver's driving state cannot be quickly adjusted, and the driver may be unconscious about his own driving state, that is, the driver has not realized that the driving safety of the vehicle may be threatened, so the driver state monitoring The device needs to make certain adjustments to the driving state of the vehicle to assist in controlling the driving state of the vehicle and to ensure driving safety of the driver and the vehicle.
本发明技术方案中,首先当检测到驾驶员处于驾驶状态时,采集驾驶员的面部特征数据;然后根据所述面部特征数据,检测驾驶员的驾驶状态是否处于精神不集中状态;最后当检测到驾驶员的驾驶状态处于精神不集中状态时,控制车辆的行车状态,以保障驾驶安全。通过上述方式,在驾驶车辆的过程中能够对驾驶员的驾驶状态进行准确监控,真实反应驾驶员的驾驶状态,并对根据驾驶员的驾驶状态对车辆做出相应的控制,保障驾驶员在行车状态中的驾驶安全。In the technical solution of the present invention, first, when detecting that the driver is in a driving state, collecting facial feature data of the driver; and then detecting, according to the facial feature data, whether the driving state of the driver is in a state of mental disentrance; When the driver's driving state is in a state of insufficiency, the driving state of the vehicle is controlled to ensure driving safety. In the above manner, the driving state of the driver can be accurately monitored during the driving of the vehicle, the driver's driving state is truly reflected, and the vehicle is controlled according to the driving state of the driver to ensure the driver is driving. Driving safety in the state.
进一步地,在本发明驾驶员状态监控方法第一实施例的基础上,提出驾驶员状态监控方法第二实施例,所述第二实施例与第一实施例之间的区别在于,所述面部特征数据包括眨眼频率、闭眼时长、低头频率,Further, based on the first embodiment of the driver state monitoring method of the present invention, a second embodiment of the driver state monitoring method is proposed. The difference between the second embodiment and the first embodiment is that the face Characteristic data includes blink frequency, closed eye duration, and low frequency.
所述根据所述面部特征数据,检测驾驶员的驾驶状态是否处于精神不集中状态的步骤还包括:The step of detecting whether the driving state of the driver is in a mentally unfocused state according to the facial feature data further includes:
当检测到所述眨眼频率大于预设眨眼频率、闭眼时长大于预设闭眼时长、低头频率大于预设低头频率中的一个条件或多个条件成立时,判断驾驶员的驾驶状态处于精神不集中状态。When it is detected that the blink frequency is greater than the preset blink frequency, the closed eye duration is greater than the preset closed eye duration, the lower frequency is greater than the preset low frequency, or a plurality of conditions are satisfied, the driver's driving state is judged to be in spirit Concentrated state.
在驾驶员状态监控装置采集的面部特征数据中,包括了眨眼频率、闭眼时长、低头频率等特征数据。当然,所述面部特征数据中并不仅仅只有以上所举的例子,其他能够被驾驶员状态监控装置所检测到的面部特征数据都属于本发明的专利保护范围当中。所述眨眼频率,指的是驾驶员在单位时间内眨眼的次数。所述闭眼时长,指的是驾驶员在驾驶车辆的过程中,每次闭上眼睛所经过的时长,包括眨眼动作中闭上眼睛到张开眼睛的过程中所经过的时长以及驾驶员在非眨眼动作时闭上眼睛到张开眼睛的过程中所经过的时长。所述低头频率,指的是驾驶员在单位时间内低头的次数。在驾驶员眨眼、闭眼、低头的过程中,车辆依旧正在前进,处于行车状态,而这些动作在无形中会影响或反映驾驶员驾驶车辆的驾驶状态。当驾驶员状态监控装置采集到的驾驶员的眨眼频率过于频繁、闭眼时长过长或低头频率频繁时,则证明驾驶员的眼睛可能处于疲劳状态,闭眼时长过长则表明驾驶员可能精神迷糊甚至正在打瞌睡,低头频率大于预设低头频率则意味着驾驶员没有专注于车辆在行车状态中前方道路的状况,以上情形都将严重威胁到驾驶员和车辆本身的行车安全。因此,需要在驾驶员状态监控装置中设置有预设眨眼频率、预设闭眼时长和预设低头频率,同时当检测到所述眨眼频率大于预设眨眼频率、闭眼时长大于预设闭眼时长、低头频率大于预设低头频率中的其中一个或多个条件成立时,则意味着当前情况下车辆的驾驶安全将遭到威胁,驾驶员无法集中精神和注意力来驾驶车辆,即无法正常安全地执行驾驶车辆的作业,处于精神不集中状态。The facial feature data collected by the driver state monitoring device includes characteristic data such as blink frequency, closed eye duration, and head frequency. Of course, the facial feature data is not limited to the above examples, and other facial feature data that can be detected by the driver state monitoring device belongs to the patent protection scope of the present invention. The blink frequency refers to the number of times the driver blinks in a unit time. The length of the closed eye refers to the length of time that the driver passes each time the eye is closed during the driving of the vehicle, including the length of time during which the eye is closed to open the eye during the blinking operation, and the driver is The length of time that is passed during the process of closing the eye to opening the eye when the eye is not blinking. The head frequency refers to the number of times the driver bows in unit time. During the blinking, closing, and bowing of the driver, the vehicle is still advancing and is in a driving state, and these actions invisibly affect or reflect the driving state of the driver's driving vehicle. When the driver's blinking frequency collected by the driver's condition monitoring device is too frequent, the length of the closed eye is too long, or the frequency of the head is frequent, it is proved that the driver's eyes may be in a state of fatigue. If the eye length is too long, the driver may be mentally ill. Confused or even dozing off, the lowering frequency is greater than the preset low frequency means that the driver does not focus on the condition of the road ahead in the driving state, and the above situation will seriously threaten the driving safety of the driver and the vehicle itself. Therefore, the preset blink frequency, the preset closed eye duration, and the preset low frequency need to be set in the driver state monitoring device, and when the blink frequency is greater than the preset blink frequency, the closed eye duration is greater than the preset closed eye. When one or more of the duration and the lower frequency are greater than the preset low frequency, it means that the driving safety of the vehicle will be threatened under the current situation, and the driver cannot concentrate and pay attention to drive the vehicle, that is, it cannot be normal. Safely performing the work of driving the vehicle is in a state of mental distraction.
进一步地,在本发明驾驶员状态监控方法第一实施例的基础上,提出驾驶员状态监控方法第三实施例,参考图3,所述第三实施例与第一实施例之间的区别在于,所述根据所述面部特征数据,检测驾驶员的驾驶状态是否处于精神不集中状态的步骤还包括:Further, based on the first embodiment of the driver state monitoring method of the present invention, a third embodiment of the driver state monitoring method is proposed. Referring to FIG. 3, the difference between the third embodiment and the first embodiment lies in The step of detecting whether the driving state of the driver is in a state of mental disenteration according to the facial feature data further includes:
步骤S21,检测驾驶员的驾驶时间是否大于预设阈值;Step S21, detecting whether the driving time of the driver is greater than a preset threshold;
步骤S22,当检测到驾驶员的驾驶时间大于预设阈值时,则判断驾驶员的驾驶状态处于精神不集中状态。In step S22, when it is detected that the driving time of the driver is greater than a preset threshold, it is determined that the driving state of the driver is in a state of mental disentrance.
除开对驾驶员的面部特征数据的检测分析,本发明实施例中还提供另外一种检测方式,即通过驾驶员状态监控检测驾驶员的驾驶时间的长度进行检测。所述驾驶时间,指的是驾驶员从开始驾驶车辆所在的时间点到当前驾驶车辆时所在的时间点整个过程中都处于驾驶状态中而所经过的时长。例如驾驶员是从早上七点钟开始驾驶车辆的,一直到当天早上九点钟都处于驾驶状态中,那么整个过程持续了一个小时,假设当前驾驶员状态监控装置预设的预设阈值为一小时,则在驾驶员状态监控装置检测到驾驶员的驾驶时间大于预设阈值时,判断驾驶员当前的驾驶状态处于精神不集中状态。In addition to detecting and analyzing the facial feature data of the driver, another detection method is also provided in the embodiment of the present invention, that is, detecting the length of the driver's driving time by the driver state monitoring. The driving time refers to the length of time that the driver passes in the driving state from the time when the vehicle is started to drive to the time point when the vehicle is currently driving. For example, the driver starts driving at 7:00 in the morning and is in the driving state at 9 o'clock in the morning, then the whole process lasts for one hour, assuming that the preset preset threshold of the current driver state monitoring device is one. In the hour, when the driver state monitoring device detects that the driving time of the driver is greater than a preset threshold, it is determined that the driver's current driving state is in a state of mental disentrance.
进一步地,在本发明驾驶员状态监控方法第一实施例的基础上,提出驾驶员状态监控方法第四实施例,所述第四实施例与第一实施例之间的区别在于,所述当检测到驾驶员的驾驶状态处于精神不集中状态时,控制车辆的行车状态,以保障驾驶安全的步骤还包括:Further, based on the first embodiment of the driver state monitoring method of the present invention, a fourth embodiment of the driver state monitoring method is proposed. The difference between the fourth embodiment and the first embodiment is that the The step of controlling the driving state of the vehicle to ensure driving safety when detecting that the driving state of the driver is in a state of mental discomfort further includes:
当检测到驾驶员的驾驶状态处于精神不集中状态,则降低车辆行车状态的行车速度和/或启动车辆的自动驾驶功能,以控制车辆的行车状态,保障驾驶安全。When it is detected that the driving state of the driver is in a state of mental disentrance, the driving speed of the vehicle driving state is lowered and/or the automatic driving function of the vehicle is started to control the driving state of the vehicle to ensure driving safety.
一旦检测到驾驶员的驾驶状态处于精神不集中状态,那么证明此时驾驶员的驾驶安全得不到保障,随时可能因驾驶员反应不及时而导致交通事故的发生。因此,除了依赖驾驶员对车辆进行控制之外,还需要驾驶员状态监控装置做出预防性措施,辅助控制车辆的行车状态,以保障驾驶安全。而保障驾驶安全的方法可以分为两种,降低车辆的在行车状态下的行车速度,或者启动车辆的自动驾驶功能,通过智能化的程序系统控制车辆的行车状态,排除了驾驶员驾驶状态不确定的非可控因素,完成自动驾驶作业,最大程度地保障行车状态中的驾驶安全。其中,驾驶员状态监控装置对车辆的控制技术可以是基于CAN总线协议,作为国际标准化的串行通信协议,CAN总线协议具备了安全性、舒适性、方便性、低公害和低成本等多种优势,可以为本发明实施例提供强大的技术支持。Once it is detected that the driver's driving state is in a state of mental disentrance, it proves that the driver's driving safety is not guaranteed at this time, and the traffic accident may occur due to the driver's unresponsiveness at any time. Therefore, in addition to relying on the driver to control the vehicle, the driver state monitoring device is required to make preventive measures to assist in controlling the driving state of the vehicle to ensure driving safety. The method of ensuring driving safety can be divided into two types, which can reduce the driving speed of the vehicle in the driving state, or start the automatic driving function of the vehicle, and control the driving state of the vehicle through the intelligent program system, thereby eliminating the driving state of the driver. Determine the non-controllable factors, complete the automatic driving operation, and maximize the driving safety in the driving state. Among them, the driver state monitoring device can control the vehicle based on the CAN bus protocol, as an international standardized serial communication protocol, the CAN bus protocol has security, comfort, convenience, low pollution and low cost. Advantages can provide powerful technical support for embodiments of the present invention.
以上控制车辆行车状态的方法皆可以让驾驶员在短时间内感知到驾驶员状态监控装置对当前驾驶安全的判断,从而提高驾驶员的警惕性,集中精神关注当前的车辆的行车状态和驾驶安全。The above method for controlling the driving state of the vehicle can enable the driver to perceive the driver state monitoring device to judge the current driving safety in a short time, thereby improving the driver's vigilance, focusing on the current driving state and driving safety of the vehicle. .
进一步地,在本发明驾驶员状态监控方法第四实施例的基础上,提出驾驶员状态监控方法第五实施例,所述第五实施例与第四实施例之间的区别在于,所述当检测到驾驶员的驾驶状态处于精神不集中状态时,控制车辆的行车状态,以保障驾驶安全的步骤还包括:Further, based on the fourth embodiment of the driver state monitoring method of the present invention, a fifth embodiment of the driver state monitoring method is proposed. The difference between the fifth embodiment and the fourth embodiment is that the The step of controlling the driving state of the vehicle to ensure driving safety when detecting that the driving state of the driver is in a state of mental discomfort further includes:
当检测到驾驶员的驾驶状态处于精神不集中状态时,向驾驶员发出提示信号以提示驾驶员注意驾驶安全,并向驾驶员所在车辆周围的其他车辆发出预警信号。When it is detected that the driver's driving state is in a state of mental disentrance, a warning signal is sent to the driver to alert the driver to driving safety, and an early warning signal is sent to other vehicles around the driver's vehicle.
由于驾驶员状态监控装置对驾驶员驾驶状态的检测功能和分析功能是实时执行的,因此其控制车辆的行车状态的功能也是实时执行,在这个过程中,驾驶员的精神状态不集中,其反应能力也随之下降,因此,驾驶员状态监控装置需要对驾驶员进行提示,可以发出驾驶员能够察觉的提示信号,提示驾驶员注意驾驶安全。为保障驾驶员能够方便快捷地接收所述提示信号,提示信号可以是语音提示,灯光提示等等,以便驾驶员能够快速调整自己的驾驶状态,提高警惕,注意驾驶安全。同时,驾驶员状态监控装置还可以向驾驶员所在的车辆周围的其他车辆发出预警信号,例如通过灯光闪烁、语音提醒或车辆外置显示屏进行文本预警,以提示其他车辆与驾驶员所在车辆保持一定的车距,进一步保障车辆的驾驶安全。Since the driver state monitoring device performs the detection function and the analysis function of the driver's driving state in real time, the function of controlling the driving state of the vehicle is also performed in real time, in which the driver's mental state is not concentrated, and the reaction The ability is also reduced. Therefore, the driver state monitoring device needs to prompt the driver to issue a warning signal that the driver can perceive, prompting the driver to pay attention to driving safety. In order to ensure that the driver can receive the prompt signal conveniently and quickly, the prompt signal can be a voice prompt, a light prompt, etc., so that the driver can quickly adjust his driving state, improve alertness, and pay attention to driving safety. At the same time, the driver status monitoring device can also send an early warning signal to other vehicles around the vehicle where the driver is located, for example, by flashing lights, voice reminders or external display of the vehicle for text warning to remind other vehicles to stay with the driver's vehicle. A certain distance between the vehicles will further ensure the driving safety of the vehicle.
本发明还提供一种驾驶员状态监控装置,在驾驶员状态监控装置第一实施例中,参考图4,所述驾驶员状态监控装置包括:The present invention also provides a driver state monitoring device. In the first embodiment of the driver state monitoring device, referring to FIG. 4, the driver state monitoring device includes:
采集模块10,用于当检测到驾驶员处于驾驶状态时,采集驾驶员的面部特征数据;The collecting module 10 is configured to collect facial feature data of the driver when detecting that the driver is in a driving state;
参照图1,图1为本发明各个实施例的一场景示意图,A为驾驶员状态监控装置,B为驾驶员,C为车辆。上述驾驶员状态监控装置A可以为车载摄像装置、闭路监控装置等设备,该驾驶员状态监控装置A一般配备有摄像头和分析处理元件,其中摄像头主要应用于检测和采集驾驶员B在驾驶过程中的面部特征数据,而分析处理元件主要应用于分析摄像头所检测和采集到的面部特征数据,以获得驾驶员状态监控装置A对驾驶员B精神状态的分析结果。在本实施例中,所述驾驶状态指的是驾驶员B控制车辆C开始行使的状态,其主体对象为驾驶员B。所述面部特征数据是本发明技术方案中重要的参考数据,包括但不限于以下所举的例子:闭眼时长、眨眼频率、打呵欠的频率等等。这些面部特征的举例具有普遍的面部特征及代表性,对驾驶员B面部特征数据的采集,能够使得驾驶员状态监控装置A更精准地分析驾驶员B的驾驶状态,是对下一步功能执行的前提条件。Referring to FIG. 1, FIG. 1 is a schematic diagram of a scene according to various embodiments of the present invention, where A is a driver state monitoring device, B is a driver, and C is a vehicle. The driver state monitoring device A may be an in-vehicle camera device, a closed-circuit monitoring device, etc., and the driver state monitoring device A is generally equipped with a camera and an analysis processing component, wherein the camera is mainly used for detecting and collecting the driver B during driving. The facial feature data is mainly used to analyze the facial feature data detected and collected by the camera to obtain the analysis result of the mental state of the driver B by the driver state monitoring device A. In the present embodiment, the driving state refers to a state in which the driver B controls the vehicle C to start exercising, and the main object is the driver B. The facial feature data is an important reference data in the technical solution of the present invention, including but not limited to the following examples: closed eye duration, blink frequency, yawning frequency, and the like. Examples of these facial features have general facial features and representations. The collection of facial features data of the driver B enables the driver state monitoring device A to more accurately analyze the driving state of the driver B, which is performed on the next function. Prerequisites.
检测模块20,用于根据所述面部特征数据,检测驾驶员的驾驶状态是否处于精神不集中状态;The detecting module 20 is configured to detect, according to the facial feature data, whether the driving state of the driver is in a state of mental disentrance;
根据采集到的驾驶员的面部特征数据,驾驶员状态监控装置能够检测所述面部特征数据,以获得驾驶员的驾驶状态,通过对驾驶员驾驶状态的分析,获知驾驶员的驾驶状态是否处于精神不集中状态。驾驶员的面部特征能够真实反应驾驶员的精神状态,现实生活中,若驾驶员频繁打哈欠,意味着驾驶员驾驶车辆的状态已经处于疲劳状态中;若驾驶员双眼一直紧闭,则证明驾驶员在驾驶过程中没有关注车辆行进方向的正前方,此时驾驶员处于危险驾驶的状态中。以上举例只是现实生活中部分场景的解释说明,而将上述场景量化为驾驶员状态监控装置中的检测功能,相当于检测驾驶员打呵欠的频率和驾驶员闭眼时间,通过与预存在驾驶员状态监控装置中的参考阈值进行比对,从而对应获得驾驶员的驾驶状态是否处于精神不集中状态。According to the collected facial feature data of the driver, the driver state monitoring device can detect the facial feature data to obtain the driving state of the driver, and by analyzing the driving state of the driver, whether the driving state of the driver is in the spirit Not concentrated. The driver's facial features can truly reflect the driver's mental state. In real life, if the driver frequently yawns, it means that the driver's state of driving the vehicle is already in a state of fatigue; if the driver's eyes are always closed, the driver is proved to be driving. The driver did not pay attention to the front of the vehicle in the driving direction, and the driver was in a dangerous driving state. The above examples are only explanations of some scenes in real life, and quantifying the above scenes into the detection function in the driver state monitoring device is equivalent to detecting the frequency of the driver's yawning and the driver's closed eye time, through the pre-existing driver. The reference thresholds in the state monitoring device are compared to obtain whether the driver's driving state is in a state of mental disentrance.
控制模块30,用于当检测到驾驶员的驾驶状态处于精神不集中状态时,控制车辆的行车状态,以保障驾驶安全。The control module 30 is configured to control the driving state of the vehicle to ensure driving safety when detecting that the driving state of the driver is in a state of mental disentrance.
若驾驶员状态监控装置检测到驾驶员的驾驶状态处于精神不集中状态,那么以为着此时驾驶员的驾驶安全受到一定的威胁。此时,由于驾驶员的驾驶状态是无法快速进行调整的,而驾驶员对自己本身的驾驶状态可能是无意识的,即驾驶员尚未意识到车辆的驾驶安全可能正遭受威胁,因此驾驶员状态监控装置需要对车辆的行车状态做出一定的调整,以辅助控制车辆的行车状态,保障驾驶员和车辆的驾驶安全。If the driver state monitoring device detects that the driver's driving state is in a state of mental disentrance, it is assumed that the driver's driving safety is threatened at this time. At this time, since the driver's driving state cannot be quickly adjusted, and the driver may be unconscious about his own driving state, that is, the driver has not realized that the driving safety of the vehicle may be threatened, so the driver state monitoring The device needs to make certain adjustments to the driving state of the vehicle to assist in controlling the driving state of the vehicle and to ensure driving safety of the driver and the vehicle.
本发明技术方案中,首先当检测到驾驶员处于驾驶状态时,采集驾驶员的面部特征数据;然后根据所述面部特征数据,检测驾驶员的驾驶状态是否处于精神不集中状态;最后当检测到驾驶员的驾驶状态处于精神不集中状态时,控制车辆的行车状态,以保障驾驶安全。通过上述方式,在驾驶车辆的过程中能够对驾驶员的驾驶状态进行准确监控,真实反应驾驶员的驾驶状态,并对根据驾驶员的驾驶状态对车辆做出相应的控制,保障驾驶员在行车状态中的驾驶安全。In the technical solution of the present invention, first, when detecting that the driver is in a driving state, collecting facial feature data of the driver; and then detecting, according to the facial feature data, whether the driving state of the driver is in a state of mental disentrance; When the driver's driving state is in a state of insufficiency, the driving state of the vehicle is controlled to ensure driving safety. In the above manner, the driving state of the driver can be accurately monitored during the driving of the vehicle, the driver's driving state is truly reflected, and the vehicle is controlled according to the driving state of the driver to ensure the driver is driving. Driving safety in the state.
进一步地,在本发明驾驶员状态监控装置第一实施例的基础上,提出驾驶员状态监控装置第二实施例,所述第二实施例与第一实施例之间的区别在于,所述面部特征数据包括眨眼频率、闭眼时长、低头频率,所述检测模块20还用于:Further, based on the first embodiment of the driver state monitoring device of the present invention, a second embodiment of the driver state monitoring device is proposed. The difference between the second embodiment and the first embodiment is that the face The feature data includes a blink frequency, a closed eye duration, and a low frequency. The detection module 20 is further configured to:
当检测到所述眨眼频率大于预设眨眼频率、闭眼时长大于预设闭眼时长、低头频率大于预设低头频率中的一个条件或多个条件成立时,判断驾驶员的驾驶状态处于精神不集中状态。When it is detected that the blink frequency is greater than the preset blink frequency, the closed eye duration is greater than the preset closed eye duration, the lower frequency is greater than the preset low frequency, or a plurality of conditions are satisfied, the driver's driving state is judged to be in spirit Concentrated state.
在驾驶员状态监控装置采集的面部特征数据中,包括了眨眼频率、闭眼时长、低头频率等特征数据。当然,所述面部特征数据中并不仅仅只有以上所举的例子,其他能够被驾驶员状态监控装置所检测到的面部特征数据都属于本发明的专利保护范围当中。所述眨眼频率,指的是驾驶员在单位时间内眨眼的次数。所述闭眼时长,指的是驾驶员在驾驶车辆的过程中,每次闭上眼睛所经过的时长,包括眨眼动作中闭上眼睛到张开眼睛的过程中所经过的时长以及驾驶员在非眨眼动作时闭上眼睛到张开眼睛的过程中所经过的时长。所述低头频率,指的是驾驶员在单位时间内低头的次数。在驾驶员眨眼、闭眼、低头的过程中,车辆依旧正在前进,处于行车状态,而这些动作在无形中会影响或反映驾驶员驾驶车辆的驾驶状态。当驾驶员状态监控装置采集到的驾驶员的眨眼频率过于频繁、闭眼时长过长或低头频率频繁时,则证明驾驶员的眼睛可能处于疲劳状态,闭眼时长过长则表明驾驶员可能精神迷糊甚至正在打瞌睡,低头频率大于预设低头频率则意味着驾驶员没有专注于车辆在行车状态中前方道路的状况,以上情形都将严重威胁到驾驶员和车辆本身的行车安全。因此,需要在驾驶员状态监控装置中设置有预设眨眼频率、预设闭眼时长和预设低头频率,同时当检测到所述眨眼频率大于预设眨眼频率、闭眼时长大于预设闭眼时长、低头频率大于预设低头频率中的其中一个或多个条件成立时,则意味着当前情况下车辆的驾驶安全将遭到威胁,驾驶员无法集中精神和注意力来驾驶车辆,即无法正常安全地执行驾驶车辆的作业,处于精神不集中状态。The facial feature data collected by the driver state monitoring device includes characteristic data such as blink frequency, closed eye duration, and head frequency. Of course, the facial feature data is not limited to the above examples, and other facial feature data that can be detected by the driver state monitoring device belongs to the patent protection scope of the present invention. The blink frequency refers to the number of times the driver blinks in a unit time. The length of the closed eye refers to the length of time that the driver passes each time the eye is closed during the driving of the vehicle, including the length of time during which the eye is closed to open the eye during the blinking operation, and the driver is The length of time that is passed during the process of closing the eye to opening the eye when the eye is not blinking. The head frequency refers to the number of times the driver bows in unit time. During the blinking, closing, and bowing of the driver, the vehicle is still advancing and is in a driving state, and these actions invisibly affect or reflect the driving state of the driver's driving vehicle. When the driver's blinking frequency collected by the driver's condition monitoring device is too frequent, the length of the closed eye is too long, or the frequency of the head is frequent, it is proved that the driver's eyes may be in a state of fatigue. If the eye length is too long, the driver may be mentally ill. Confused or even dozing off, the lowering frequency is greater than the preset low frequency means that the driver does not focus on the condition of the road ahead in the driving state, and the above situation will seriously threaten the driving safety of the driver and the vehicle itself. Therefore, the preset blink frequency, the preset closed eye duration, and the preset low frequency need to be set in the driver state monitoring device, and when the blink frequency is greater than the preset blink frequency, the closed eye duration is greater than the preset closed eye. When one or more of the duration and the lower frequency are greater than the preset low frequency, it means that the driving safety of the vehicle will be threatened under the current situation, and the driver cannot concentrate and pay attention to drive the vehicle, that is, it cannot be normal. Safely performing the work of driving the vehicle is in a state of mental distraction.
进一步地,在本发明驾驶员状态监控装置第一实施例的基础上,提出驾驶员状态监控装置第三实施例,参考图5,所述第三实施例与第一实施例之间的区别在于,所述检测模块20包括:Further, based on the first embodiment of the driver state monitoring device of the present invention, a third embodiment of the driver state monitoring device is proposed. Referring to FIG. 5, the difference between the third embodiment and the first embodiment lies in The detecting module 20 includes:
检测单元21,用于检测驾驶员的驾驶时间是否大于预设阈值;The detecting unit 21 is configured to detect whether the driving time of the driver is greater than a preset threshold;
判断单元22,用于当检测到驾驶员的驾驶时间大于预设阈值时,则判断驾驶员的驾驶状态处于精神不集中状态。The determining unit 22 is configured to determine that the driving state of the driver is in a state of mental disentanglement when it is detected that the driving time of the driver is greater than a preset threshold.
除开对驾驶员的面部特征数据的检测分析,本发明实施例中还提供另外一种检测方式,即通过驾驶员状态监控检测驾驶员的驾驶时间的长度进行检测。所述驾驶时间,指的是驾驶员从开始驾驶车辆所在的时间点到当前驾驶车辆时所在的时间点整个过程中都处于驾驶状态中而所经过的时长。例如驾驶员是从早上七点钟开始驾驶车辆的,一直到当天早上九点钟都处于驾驶状态中,那么整个过程持续了一个小时,假设当前驾驶员状态监控装置预设的预设阈值为一小时,则在驾驶员状态监控装置检测到驾驶员的驾驶时间大于预设阈值时,判断驾驶员当前的驾驶状态处于精神不集中状态。In addition to detecting and analyzing the facial feature data of the driver, another detection method is also provided in the embodiment of the present invention, that is, detecting the length of the driver's driving time by the driver state monitoring. The driving time refers to the length of time that the driver passes in the driving state from the time when the vehicle is started to drive to the time point when the vehicle is currently driving. For example, the driver starts driving at 7:00 in the morning and is in the driving state at 9 o'clock in the morning, then the whole process lasts for one hour, assuming that the preset preset threshold of the current driver state monitoring device is one. In the hour, when the driver state monitoring device detects that the driving time of the driver is greater than a preset threshold, it is determined that the driver's current driving state is in a state of mental disentrance.
进一步地,在本发明驾驶员状态监控装置第一实施例的基础上,提出驾驶员状态监控装置第四实施例,所述第四实施例与第一实施例之间的区别在于,所述控制模块30还用于:Further, based on the first embodiment of the driver state monitoring device of the present invention, a fourth embodiment of the driver state monitoring device is proposed, and the difference between the fourth embodiment and the first embodiment is that the control Module 30 is also used to:
当检测到驾驶员的驾驶状态处于精神不集中状态,则降低车辆行车状态的行车速度和/或启动车辆的自动驾驶功能,以控制车辆的行车状态,保障驾驶安全。When it is detected that the driving state of the driver is in a state of mental disentrance, the driving speed of the vehicle driving state is lowered and/or the automatic driving function of the vehicle is started to control the driving state of the vehicle to ensure driving safety.
一旦检测到驾驶员的驾驶状态处于精神不集中状态,那么证明此时驾驶员的驾驶安全得不到保障,随时可能因驾驶员反应不及时而导致交通事故的发生。因此,除了依赖驾驶员对车辆进行控制之外,还需要驾驶员状态监控装置做出预防性措施,辅助控制车辆的行车状态,以保障驾驶安全。而保障驾驶安全的方法可以分为两种,降低车辆的在行车状态下的行车速度,或者启动车辆的自动驾驶功能,通过智能化的程序系统控制车辆的行车状态,排除了驾驶员驾驶状态不确定的非可控因素,完成自动驾驶作业,最大程度地保障行车状态中的驾驶安全。其中,驾驶员状态监控装置对车辆的控制技术可以是基于CAN总线协议,作为国际标准化的串行通信协议,CAN总线协议具备了安全性、舒适性、方便性、低公害和低成本等多种优势,可以为本发明实施例提供强大的技术支持。Once it is detected that the driver's driving state is in a state of mental disentrance, it proves that the driver's driving safety is not guaranteed at this time, and the traffic accident may occur due to the driver's unresponsiveness at any time. Therefore, in addition to relying on the driver to control the vehicle, the driver state monitoring device is required to make preventive measures to assist in controlling the driving state of the vehicle to ensure driving safety. The method of ensuring driving safety can be divided into two types, which can reduce the driving speed of the vehicle in the driving state, or start the automatic driving function of the vehicle, and control the driving state of the vehicle through the intelligent program system, thereby eliminating the driving state of the driver. Determine the non-controllable factors, complete the automatic driving operation, and maximize the driving safety in the driving state. Among them, the driver state monitoring device can control the vehicle based on the CAN bus protocol, as an international standardized serial communication protocol, the CAN bus protocol has security, comfort, convenience, low pollution and low cost. Advantages can provide powerful technical support for embodiments of the present invention.
以上控制车辆行车状态的方法皆可以让驾驶员在短时间内感知到驾驶员状态监控装置对当前驾驶安全的判断,从而提高驾驶员的警惕性,集中精神关注当前的车辆的行车状态和驾驶安全。The above method for controlling the driving state of the vehicle can enable the driver to perceive the driver state monitoring device to judge the current driving safety in a short time, thereby improving the driver's vigilance, focusing on the current driving state and driving safety of the vehicle. .
进一步地,在本发明驾驶员状态监控装置第四实施例的基础上,提出驾驶员状态监控装置第五实施例,所述第五实施例与第四实施例之间的区别在于,所述控制模块30还用于:Further, based on the fourth embodiment of the driver state monitoring device of the present invention, a fifth embodiment of the driver state monitoring device is proposed. The difference between the fifth embodiment and the fourth embodiment is that the control Module 30 is also used to:
当检测到驾驶员的驾驶状态处于精神不集中状态时,向驾驶员发出提示信号以提示驾驶员注意驾驶安全,并向驾驶员所在车辆周围的其他车辆发出预警信号。When it is detected that the driver's driving state is in a state of mental disentrance, a warning signal is sent to the driver to alert the driver to driving safety, and an early warning signal is sent to other vehicles around the driver's vehicle.
由于驾驶员状态监控装置对驾驶员驾驶状态的检测功能和分析功能是实时执行的,因此其控制车辆的行车状态的功能也是实时执行,在这个过程中,驾驶员的精神状态不集中,其反应能力也随之下降,因此,驾驶员状态监控装置需要对驾驶员进行提示,可以发出驾驶员能够察觉的提示信号,提示驾驶员注意驾驶安全。为保障驾驶员能够方便快捷地接收所述提示信号,提示信号可以是语音提示,灯光提示等等,以便驾驶员能够快速调整自己的驾驶状态,提高警惕,注意驾驶安全。同时,驾驶员状态监控装置还可以向驾驶员所在的车辆周围的其他车辆发出预警信号,例如通过灯光闪烁、语音提醒或车辆外置显示屏进行文本预警,以提示其他车辆与驾驶员所在车辆保持一定的车距,进一步保障车辆的驾驶安全。Since the driver state monitoring device performs the detection function and the analysis function of the driver's driving state in real time, the function of controlling the driving state of the vehicle is also performed in real time, in which the driver's mental state is not concentrated, and the reaction The ability is also reduced. Therefore, the driver state monitoring device needs to prompt the driver to issue a warning signal that the driver can perceive, prompting the driver to pay attention to driving safety. In order to ensure that the driver can receive the prompt signal conveniently and quickly, the prompt signal can be a voice prompt, a light prompt, etc., so that the driver can quickly adjust his driving state, improve alertness, and pay attention to driving safety. At the same time, the driver status monitoring device can also send an early warning signal to other vehicles around the vehicle where the driver is located, for example, by flashing lights, voice reminders or external display of the vehicle for text warning to remind other vehicles to stay with the driver's vehicle. A certain distance between the vehicles will further ensure the driving safety of the vehicle.
需要说明的是,在本文中,术语“包括”、“包含”或者其任何其他变体意在涵盖非排他性的包含,从而使得包括一系列要素的过程、方法、物品或者装置不仅包括那些要素,而且还包括没有明确列出的其他要素,或者是还包括为这种过程、方法、物品或者装置所固有的要素。在没有更多限制的情况下,由语句“包括一个……”限定的要素,并不排除在包括该要素的过程、方法、物品或者装置中还存在另外的相同要素。It is to be understood that the term "comprises", "comprising", or any other variants thereof, is intended to encompass a non-exclusive inclusion, such that a process, method, article, or device comprising a series of elements includes those elements. It also includes other elements that are not explicitly listed, or elements that are inherent to such a process, method, article, or device. An element that is defined by the phrase "comprising a ..." does not exclude the presence of additional equivalent elements in the process, method, item, or device that comprises the element.
上述本发明实施例序号仅仅为了描述,不代表实施例的优劣。The serial numbers of the embodiments of the present invention are merely for the description, and do not represent the advantages and disadvantages of the embodiments.
通过以上的实施方式的描述,本领域的技术人员可以清楚地了解到上述实施例方法可借助软件加必需的通用硬件平台的方式来实现,当然也可以通过硬件,但很多情况下前者是更佳的实施方式。基于这样的理解,本发明的技术方案本质上或者说对现有技术做出贡献的部分可以以软件产品的形式体现出来,该计算机软件产品存储在一个存储介质(如ROM/RAM、磁碟、光盘)中,包括若干指令用以使得一台终端设备(可以是手机,计算机,服务器,空调器,或者网络设备等)执行本发明各个实施例所述的方法。Through the description of the above embodiments, those skilled in the art can clearly understand that the foregoing embodiment method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be through hardware, but in many cases, the former is better. Implementation. Based on such understanding, the technical solution of the present invention, which is essential or contributes to the prior art, may be embodied in the form of a software product stored in a storage medium (such as ROM/RAM, disk, The optical disc includes a number of instructions for causing a terminal device (which may be a cell phone, a computer, a server, an air conditioner, or a network device, etc.) to perform the methods described in various embodiments of the present invention.
以上仅为本发明的优选实施例,并非因此限制本发明的专利范围,凡是利用本发明说明书及附图内容所作的等效结构或等效流程变换,或直接或间接运用在其他相关的技术领域,均同理包括在本发明的专利保护范围内。The above are only the preferred embodiments of the present invention, and are not intended to limit the scope of the invention, and the equivalent structure or equivalent process transformations made by the description of the present invention and the drawings are directly or indirectly applied to other related technical fields. The same is included in the scope of patent protection of the present invention.

Claims (18)

  1. 一种驾驶员状态监控方法,其特征在于,所述驾驶员状态监控方法包括: A driver state monitoring method, characterized in that the driver state monitoring method comprises:
    当检测到驾驶员处于驾驶状态时,采集驾驶员的面部特征数据;Collecting facial feature data of the driver when detecting that the driver is in a driving state;
    根据所述面部特征数据,检测驾驶员的驾驶状态是否处于精神不集中状态;Determining, according to the facial feature data, whether the driving state of the driver is in a state of mental disentrance;
    当检测到驾驶员的驾驶状态处于精神不集中状态时,控制车辆的行车状态,以保障驾驶安全。When it is detected that the driving state of the driver is in a state of mental disentrance, the driving state of the vehicle is controlled to ensure driving safety.
  2. 如权利要求1所述的驾驶员状态监控方法,其特征在于,所述面部特征数据包括眨眼频率、闭眼时长、低头频率,The driver state monitoring method according to claim 1, wherein the facial feature data comprises a blink frequency, a closed eye duration, a head frequency,
    所述根据所述面部特征数据,检测驾驶员的驾驶状态是否处于精神不集中状态的步骤还包括:The step of detecting whether the driving state of the driver is in a mentally unfocused state according to the facial feature data further includes:
    当检测到所述眨眼频率大于预设眨眼频率、闭眼时长大于预设闭眼时长、低头频率大于预设低头频率中的一个条件或多个条件成立时,判断驾驶员的驾驶状态处于精神不集中状态。When it is detected that the blink frequency is greater than the preset blink frequency, the closed eye duration is greater than the preset closed eye duration, the lower frequency is greater than the preset low frequency, or a plurality of conditions are satisfied, the driver's driving state is judged to be in spirit Concentrated state.
  3. 如权利要求2所述的驾驶员状态监控方法,其特征在于,所述根据所述面部特征数据,检测驾驶员的驾驶状态是否处于精神不集中状态的步骤还包括:The driver state monitoring method according to claim 2, wherein the step of detecting whether the driving state of the driver is in a mentally unfocused state according to the facial feature data further comprises:
    检测驾驶员的驾驶时间是否大于预设阈值;Detecting whether the driving time of the driver is greater than a preset threshold;
    当检测到驾驶员的驾驶时间大于预设阈值时,则判断驾驶员的驾驶状态处于精神不集中状态。When it is detected that the driving time of the driver is greater than a preset threshold, it is determined that the driving state of the driver is in a state of mental disentrance.
  4. 如权利要求2所述的驾驶员状态监控方法,其特征在于,所述根据所述面部特征数据,检测驾驶员的驾驶状态是否处于精神不集中状态的步骤还包括:The driver state monitoring method according to claim 2, wherein the step of detecting whether the driving state of the driver is in a mentally unfocused state according to the facial feature data further comprises:
    当检测到驾驶员的驾驶状态处于精神不集中状态,则降低车辆行车状态的行车速度和/或启动车辆的自动驾驶功能,以控制车辆的行车状态,保障驾驶安全。When it is detected that the driving state of the driver is in a state of mental disentrance, the driving speed of the vehicle driving state is lowered and/or the automatic driving function of the vehicle is started to control the driving state of the vehicle to ensure driving safety.
  5. 如权利要求2所述的驾驶员状态监控方法,其特征在于,所述根据所述面部特征数据,检测驾驶员的驾驶状态是否处于精神不集中状态的步骤还包括:The driver state monitoring method according to claim 2, wherein the step of detecting whether the driving state of the driver is in a mentally unfocused state according to the facial feature data further comprises:
    当检测到驾驶员的驾驶状态处于精神不集中状态时,向驾驶员发出提示信号以提示驾驶员注意驾驶安全,并向驾驶员所在车辆周围的其他车辆发出预警信号。When it is detected that the driver's driving state is in a state of mental disentrance, a warning signal is sent to the driver to alert the driver to driving safety, and an early warning signal is sent to other vehicles around the driver's vehicle.
  6. 如权利要求1所述的驾驶员状态监控方法,其特征在于,所述根据所述面部特征数据,检测驾驶员的驾驶状态是否处于精神不集中状态的步骤还包括:The driver state monitoring method according to claim 1, wherein the step of detecting whether the driving state of the driver is in a mentally unfocused state according to the facial feature data further comprises:
    检测驾驶员的驾驶时间是否大于预设阈值;Detecting whether the driving time of the driver is greater than a preset threshold;
    当检测到驾驶员的驾驶时间大于预设阈值时,则判断驾驶员的驾驶状态处于精神不集中状态。When it is detected that the driving time of the driver is greater than a preset threshold, it is determined that the driving state of the driver is in a state of mental disentrance.
  7. 如权利要求1所述的驾驶员状态监控方法,其特征在于,所述当检测到驾驶员的驾驶状态处于精神不集中状态时,控制车辆的行车状态,以保障驾驶安全的步骤还包括:The driver state monitoring method according to claim 1, wherein the step of controlling the driving state of the vehicle to ensure driving safety when the driving state of the driver is detected to be in a state of mental disenteration further comprises:
    当检测到驾驶员的驾驶状态处于精神不集中状态,则降低车辆行车状态的行车速度和/或启动车辆的自动驾驶功能,以控制车辆的行车状态,保障驾驶安全。When it is detected that the driving state of the driver is in a state of mental disentrance, the driving speed of the vehicle driving state is lowered and/or the automatic driving function of the vehicle is started to control the driving state of the vehicle to ensure driving safety.
  8. 如权利要求1所述的驾驶员状态监控方法,其特征在于,所述当检测到驾驶员的驾驶状态处于精神不集中状态时,控制车辆的行车状态,以保障驾驶安全的步骤还包括:The driver state monitoring method according to claim 1, wherein the step of controlling the driving state of the vehicle to ensure driving safety when the driving state of the driver is detected to be in a state of mental disenteration further comprises:
    当检测到驾驶员的驾驶状态处于精神不集中状态时,向驾驶员发出提示信号以提示驾驶员注意驾驶安全,并向驾驶员所在车辆周围的其他车辆发出预警信号。When it is detected that the driver's driving state is in a state of mental disentrance, a warning signal is sent to the driver to alert the driver to driving safety, and an early warning signal is sent to other vehicles around the driver's vehicle.
  9. 如权利要求7所述的驾驶员状态监控方法,其特征在于,所述驾驶员状态监控方法还包括:The driver state monitoring method according to claim 7, wherein the driver state monitoring method further comprises:
    当检测到驾驶员的驾驶状态处于精神不集中状态时,向驾驶员发出提示信号以提示驾驶员注意驾驶安全,并向驾驶员所在车辆周围的其他车辆发出预警信号。When it is detected that the driver's driving state is in a state of mental disentrance, a warning signal is sent to the driver to alert the driver to driving safety, and an early warning signal is sent to other vehicles around the driver's vehicle.
  10. 一种驾驶员状态监控装置,其特征在于,所述驾驶员状态监控装置包括:A driver state monitoring device, wherein the driver state monitoring device comprises:
    采集模块,用于当检测到驾驶员处于驾驶状态时,采集驾驶员的面部特征数据;An acquisition module, configured to collect facial feature data of the driver when detecting that the driver is in a driving state;
    检测模块,用于根据所述面部特征数据,检测驾驶员的驾驶状态是否处于精神不集中状态;a detecting module, configured to detect, according to the facial feature data, whether a driving state of the driver is in a state of mental disentrance;
    控制模块,用于当检测到驾驶员的驾驶状态处于精神不集中状态时,控制车辆的行车状态,以保障驾驶安全。The control module is configured to control the driving state of the vehicle to ensure driving safety when detecting that the driving state of the driver is in a state of mental disentrance.
  11. 如权利要求10所述的驾驶员状态监控装置,其特征在于,所述面部特征数据包括眨眼频率、闭眼时长、低头频率,所述检测模块还用于:The driver state monitoring device according to claim 10, wherein the facial feature data comprises a blink frequency, a closed eye duration, and a low frequency, and the detecting module is further configured to:
    当检测到所述眨眼频率大于预设眨眼频率、闭眼时长大于预设闭眼时长、低头频率大于预设低头频率中的一个条件或多个条件成立时,判断驾驶员的驾驶状态处于精神不集中状态。When it is detected that the blink frequency is greater than the preset blink frequency, the closed eye duration is greater than the preset closed eye duration, the lower frequency is greater than the preset low frequency, or a plurality of conditions are satisfied, the driver's driving state is judged to be in spirit Concentrated state.
  12. 如权利要求11所述的驾驶员状态监控装置,其特征在于,所述检测模块还包括:The driver state monitoring device according to claim 11, wherein the detecting module further comprises:
    检测单元,用于检测驾驶员的驾驶时间是否大于预设阈值;a detecting unit, configured to detect whether a driving time of the driver is greater than a preset threshold;
    判断单元,用于当检测到驾驶员的驾驶时间大于预设阈值时,则判断驾驶员的驾驶状态处于精神不集中状态。The determining unit is configured to determine that the driving state of the driver is in a state of mental disentrance when detecting that the driving time of the driver is greater than a preset threshold.
  13. 如权利要求11所述的驾驶员状态监控装置,其特征在于,所述控制模块还用于:The driver state monitoring device according to claim 11, wherein the control module is further configured to:
    当检测到驾驶员的驾驶状态处于精神不集中状态,则降低车辆行车状态的行车速度和/或启动车辆的自动驾驶功能,以控制车辆的行车状态,保障驾驶安全。When it is detected that the driving state of the driver is in a state of mental disentrance, the driving speed of the vehicle driving state is lowered and/or the automatic driving function of the vehicle is started to control the driving state of the vehicle to ensure driving safety.
  14. 如权利要求11所述的驾驶员状态监控装置,其特征在于,所述控制模块还用于:The driver state monitoring device according to claim 11, wherein the control module is further configured to:
    当检测到驾驶员的驾驶状态处于精神不集中状态时,向驾驶员发出提示信号以提示驾驶员注意驾驶安全,并向驾驶员所在车辆周围的其他车辆发出预警信号。When it is detected that the driver's driving state is in a state of mental disentrance, a warning signal is sent to the driver to alert the driver to driving safety, and an early warning signal is sent to other vehicles around the driver's vehicle.
  15. 如权利要求10所述的驾驶员状态监控装置,其特征在于,所述检测模块还包括:The driver state monitoring device according to claim 10, wherein the detecting module further comprises:
    检测单元,用于检测驾驶员的驾驶时间是否大于预设阈值;a detecting unit, configured to detect whether a driving time of the driver is greater than a preset threshold;
    判断单元,用于当检测到驾驶员的驾驶时间大于预设阈值时,则判断驾驶员的驾驶状态处于精神不集中状态。The determining unit is configured to determine that the driving state of the driver is in a state of mental disentrance when detecting that the driving time of the driver is greater than a preset threshold.
  16. 如权利要求10所述的驾驶员状态监控装置,其特征在于,所述控制模块还用于:The driver state monitoring device according to claim 10, wherein the control module is further configured to:
    当检测到驾驶员的驾驶状态处于精神不集中状态,则降低车辆行车状态的行车速度和/或启动车辆的自动驾驶功能,以控制车辆的行车状态,保障驾驶安全。When it is detected that the driving state of the driver is in a state of mental disentrance, the driving speed of the vehicle driving state is lowered and/or the automatic driving function of the vehicle is started to control the driving state of the vehicle to ensure driving safety.
  17. 如权利要求10所述的驾驶员状态监控装置,其特征在于,所述控制模块还用于:The driver state monitoring device according to claim 10, wherein the control module is further configured to:
    当检测到驾驶员的驾驶状态处于精神不集中状态时,向驾驶员发出提示信号以提示驾驶员注意驾驶安全,并向驾驶员所在车辆周围的其他车辆发出预警信号。When it is detected that the driver's driving state is in a state of mental disentrance, a warning signal is sent to the driver to alert the driver to driving safety, and an early warning signal is sent to other vehicles around the driver's vehicle.
  18. 如权利要求16所述的驾驶员状态监控装置,其特征在于,所述控制模块还用于:The driver state monitoring device according to claim 16, wherein the control module is further configured to:
    当检测到驾驶员的驾驶状态处于精神不集中状态时,向驾驶员发出提示信号以提示驾驶员注意驾驶安全,并向驾驶员所在车辆周围的其他车辆发出预警信号。When it is detected that the driver's driving state is in a state of mental disentrance, a warning signal is sent to the driver to alert the driver to driving safety, and an early warning signal is sent to other vehicles around the driver's vehicle.
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Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109733280A (en) * 2018-12-05 2019-05-10 江苏大学 Safety device of vehicle and its control method based on driver's facial characteristics
CN112208544A (en) * 2020-10-21 2021-01-12 合肥工业大学 Driving capability judgment method for driver, safe driving method and system 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
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
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

Families Citing this family (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
WO2019056259A1 (en) * 2017-09-21 2019-03-28 深圳传音制造有限公司 Fatigue driving warning method and terminal
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
CN109334670B (en) * 2018-12-04 2019-06-28 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
CN110287838B (en) * 2019-06-17 2021-12-14 青岛民航凯亚系统集成有限公司 Method and system for monitoring behaviors of driving and playing mobile phone
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
CN112277955B (en) * 2020-10-30 2021-10-01 安徽江淮汽车集团股份有限公司 Driving assistance method, device, equipment and 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
CN1802273A (en) * 2003-06-06 2006-07-12 沃尔沃技术公司 Method and arrangement for controlling vehicular subsystems based on interpreted driver activity
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
CN105818812A (en) * 2015-01-23 2016-08-03 电装国际美国公司 Advanced driver assistance system for vehicle

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104318714B (en) * 2014-11-12 2018-06-15 沈阳美行科技有限公司 A kind of fatigue driving method for early warning
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

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1802273A (en) * 2003-06-06 2006-07-12 沃尔沃技术公司 Method and arrangement for controlling vehicular subsystems based on interpreted driver activity
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
CN105818812A (en) * 2015-01-23 2016-08-03 电装国际美国公司 Advanced driver assistance system for vehicle
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

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109733280A (en) * 2018-12-05 2019-05-10 江苏大学 Safety device of vehicle and its control method based on driver's facial characteristics
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
CN112208544A (en) * 2020-10-21 2021-01-12 合肥工业大学 Driving capability judgment method for driver, safe driving method and system thereof
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

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