WO2017054279A1 - 一种疲劳驾驶处理方法及装置 - Google Patents

一种疲劳驾驶处理方法及装置 Download PDF

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Publication number
WO2017054279A1
WO2017054279A1 PCT/CN2015/093463 CN2015093463W WO2017054279A1 WO 2017054279 A1 WO2017054279 A1 WO 2017054279A1 CN 2015093463 W CN2015093463 W CN 2015093463W WO 2017054279 A1 WO2017054279 A1 WO 2017054279A1
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Prior art keywords
driver
vehicle
information
driving
state
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PCT/CN2015/093463
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English (en)
French (fr)
Inventor
段勇
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宇龙计算机通信科技(深圳)有限公司
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Publication of WO2017054279A1 publication Critical patent/WO2017054279A1/zh

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    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/02—Alarms for ensuring the safety of persons
    • G08B21/06—Alarms for ensuring the safety of persons indicating a condition of sleep, e.g. anti-dozing alarms

Definitions

  • the present invention relates to the field of electronic technologies, and in particular, to a fatigue driving processing method and apparatus.
  • the terminal detects that the driver is in a fatigue driving state, the terminal emits an alarm sound or vibration to wake up the driver, and further connects the terminal with the vehicle control device, thereby controlling the emergency braking of the vehicle.
  • the problem with the prior art is that if the alarm issued by the terminal cannot quickly wake up the driver, the vehicle of the fatigued driver is in a dangerous state of driving and poses a safety threat to other vehicles.
  • the terminal controls the emergency braking of the vehicle while determining that the driver is driving fatigue, other vehicles may also cause the vehicle to collide due to a sudden incident, thereby causing a traffic accident.
  • the technical problem to be solved by the embodiments of the present invention is to provide a fatigue driving processing method and device, which can warn the connected vehicles in the vehicle network when detecting that the driver is in a fatigue driving state, thereby making the connected vehicles pay attention to avoiding, thereby further Effectively avoid the occurrence of traffic accidents.
  • Embodiments of the present invention provide a fatigue driving processing method, where the method includes:
  • the driving warning information is transmitted to the connected vehicle in the Internet of Vehicle to which the driver's vehicle belongs, and the driving warning information carries the location information and the vehicle identification of the vehicle where the driver is located.
  • an embodiment of the present invention provides a fatigue driving processing apparatus, where the apparatus includes:
  • a status module configured to determine the driving according to the acquired physical state information of the driver The person is in a state of fatigue driving
  • a warning module configured to send driving warning information to the connected vehicle in the Internet of Vehicle to which the driver is located, the driving warning information carrying location information and a vehicle identification of the vehicle where the driver is located.
  • the embodiment of the present invention When determining that the driver is in a fatigue driving state, the embodiment of the present invention sends driving warning information to the connected vehicle in the Internet of Vehicle to which the driver is located, and the driving warning information carries the location of the vehicle where the driver is located.
  • Information and vehicle identification compared with the prior art scheme of simply issuing warning or emergency operation to the driver or the driver's vehicle, the present invention pays more attention to sending traffic warning information to other vehicles in the vehicle network, so that other vehicles are driven according to the vehicle. The location information and the vehicle identification in the warning information are avoided, so that traffic accidents are more effectively avoided.
  • FIG. 1 is a schematic flow chart of a fatigue driving processing method according to an embodiment of the present invention.
  • FIG. 2 is a schematic flow chart of a fatigue driving processing method according to another embodiment of the present invention.
  • FIG. 3 is a structural diagram of a fatigue driving processing apparatus according to an embodiment of the present invention.
  • FIG. 4 is a structural diagram of the state module of FIG. 3 in the embodiment of the present invention.
  • FIG. 1 is a schematic flow chart of a fatigue driving processing method according to an embodiment of the present invention.
  • the method flow may be implemented by a fatigue driving processing device, which may be a user terminal or a software program running on a user terminal.
  • the user terminal may include a mobile phone, a notebook computer, a tablet computer, a car computer, a POS (Point Of Sales) machine, and the like.
  • the method as shown in the figure includes at least:
  • Step S101 obtaining physical state information of the driver.
  • the body state information may be the driver's facial feature information, the human eye feature information, the limb motion information, or the like, or may be the driver's pulse information, body motion information, respiratory frequency information, etc.
  • the terminal may capture the image through the camera.
  • body state information such as facial features or limb movements of the driver
  • physical information such as pulse information and body motion information recorded in the driver's wristband through an external device such as a smart bracelet worn by the driver or a smart watch.
  • the terminal may collect the image of the driver or the video image frame to collect the body state information of the driver, or obtain the driver's body state information after being connected with the smart bracelet or the smart watch.
  • Step S102 Determine, according to the acquired physical state information of the driver, that the driver is in a fatigue driving state.
  • the terminal may separately set the fatigue driving threshold for different body state information. If the currently collected driver's body state information does not meet the corresponding fatigue driving threshold, it may be determined that the driver is in a fatigue driving state. For example, if the driver's body state information acquired by the terminal is human eye information, it can be determined according to the human eye recognition algorithm or the video detection technology that the current driver is in the closed eye state, and the assumed fatigue driving threshold is 30 seconds, that is to say, If the terminal detects that the driver is in the closed eye state for more than 30 seconds, it is determined that the driver is in a fatigue driving state.
  • the driver's body state information acquired by the terminal is the pulse information of the driver acquired by the wristband, it is assumed that the acquired pulse information is 70 times per minute, and the set fatigue driving threshold is 60 times per minute, and the pulse information is Greater than the fatigue driving threshold can indicate that the current driver is not in a fatigue driving state.
  • the driver's body state information acquired by the terminal is facial feature information, it can be detected that the driver yawns 6 times within 5 minutes according to the facial feature information, assuming that the set fatigue driving threshold is 2 Once, you can be sure that the driver is in a fatigue driving state.
  • a plurality of different body state information may be acquired, different weight values are set, and the driver is comprehensively determined whether the driver is in a fatigue driving state.
  • the terminal can obtain the body motion information, the respiratory frequency information, the facial feature information, and the limb motion information of the driver, and assume that the weights of the driver's body motion information, respiratory frequency information, facial feature information, and limb motion information are respectively: 30%, 25%, 35%, 10%.
  • the current driver is in a fatigue driving state and can be set to 1
  • the driver is in a state of fatigue driving.
  • Step S103 sending driving warning information to the connected vehicle in the Internet of Vehicle to which the driver's vehicle belongs, the driving warning information carrying the location information and the vehicle identification of the vehicle where the driver is located.
  • the vehicle network to which the driver is located may be a pre-established connection relationship network between the driver's vehicle and other vehicles, and the vehicle where the driver is located may have an interconnection relationship with the vehicle in the vehicle network to which the driver belongs.
  • Vehicles in the Internet of Vehicles can share each other's location information, vehicle information, driving environment information, voice information, and the like.
  • the terminal when the terminal detects that the driver is in the fatigue driving state in step S102, the terminal may be triggered to send driving warning information to the vehicle in the vehicle network to which the terminal belongs, and the driving warning information carries the vehicle of the driver.
  • the location information and the vehicle identification so that when the other connected vehicles receive the driving warning information, the location information and the vehicle identification of the driver's vehicle may be avoided.
  • other connected vehicles may also send driving warning information to surrounding vehicles by means of broadcasting or the like, and may also forward the driving warning information to vehicles in other vehicle networks if the connected vehicles are also joined to other vehicle networks.
  • the terminal may first send a driving warning message to the vehicle networking server through the mobile wireless network, and then forward it to other connected vehicles in the vehicle network by the vehicle networking server, or obtain the terminal identifier of the other connected vehicle from the vehicle networking server.
  • Information via Bluetooth or other wireless broadcast form, to send driving warning messages to connected vehicles in the Internet of Vehicles.
  • the terminal may also obtain location information of other connected vehicles in the vehicle network through the vehicle networking server, set a distance threshold according to location information of other connected vehicles, and send a driving warning to the vehicle within a threshold range of the distance of the vehicle where the driver is located.
  • Information; the target networked vehicle that transmits the driving warning information may also be determined by the vehicle networking server according to the location information of the vehicle where the driver is located and the location information of other connected vehicles.
  • the driving warning information sent to the connected vehicle in the Internet of Vehicles may further carry a priority identifier, so that the connected vehicle may pause other receiving tasks or will be in the receiving queue as long as the priority identifier of the driving warning information is detected.
  • the queued receiving tasks are delayed and received, and the driving warning information is preferentially received.
  • vehicle and the terminal herein refer to an in-vehicle terminal mounted on the vehicle or a device built in the vehicle, and all have devices such as a sensor, a mobile communication module, a Bluetooth module, and a GPS positioning module.
  • the embodiment of the present invention When determining that the driver is in a fatigue driving state, the embodiment of the present invention sends driving warning information to the connected vehicle in the Internet of Vehicle to which the driver is located, and the driving warning information carries the location of the vehicle where the driver is located.
  • Information and vehicle identification compared with the prior art scheme of simply issuing warning or emergency operation to the driver or the driver's vehicle, the present invention pays more attention to sending traffic warning information to other vehicles in the vehicle network, so that other vehicles are driven according to the vehicle. The location information and the vehicle identification in the warning information are avoided, so that traffic accidents are more effectively avoided.
  • FIG. 2 is a schematic flow chart of a fatigue driving processing method according to another embodiment of the present invention, and the method as shown in the figure includes:
  • Step S201 determining, according to the human eye state information, that the driver is in a closed eye state.
  • the terminal may capture an image or a video containing the driver's eyes through the camera, and according to the captured image frame containing the image or video of the driver's eyes, the driver's eye state information may be collected according to the human eye recognition algorithm or Video detection technology can determine if the current driver is in a closed eye state.
  • the color parameter in the human eye state information may be used to determine whether the driver is in a closed eye state.
  • the color parameter is black
  • the driver may be considered to be in a blinking state, and when the color parameter is not biased.
  • black the driver can be considered to be in an eye-closed state.
  • it is also possible to determine whether the driver is in a closed-eye state by a method of detecting the position of the human eyelashes, the detection of the pattern of the eyelids of the human eye, or the like.
  • Step S202 If it is detected that the time when the driver is in the closed eye state exceeds a time threshold, it is determined that the driver is in a fatigue driving state.
  • the duration of the current closed eye state may be started, and the driver's human eye state information is continuously obtained, if it is detected that the driver is always in the In the closed eye state, and the duration of the closed eye state exceeds the preset time threshold before the terminal, it can be determined that the driver is in a fatigue driving state.
  • the set time threshold is 10 s
  • the terminal detects that the driver is in the closed-eye state it starts counting the time in which the driver is in the closed-eye state. If the driver detects that the driver is not in the closed-eye state, the timing is cleared. If it is detected that the driver has been in the closed-eye state and has not changed and the time exceeds the time threshold of 10 s, it can be determined that the driver is in a fatigue driving state.
  • step S202 is further configured to: determine, according to the body motion information, that the driver is in a fatigue driving state.
  • the terminal can also obtain the body motion information recorded in the driver's wristband through an external device such as a smart bracelet worn by the driver or a smart watch.
  • the body motion recorder in the wearable device can detect the tiny movement of the driver, and the terminal can obtain the body movement amplitude and the body movement time and other parameters by acquiring the body motion information, and then can determine whether the driver is in the body motion information.
  • Fatigue driving status For example, the body motion information obtained by the terminal in the driver's body motion information belongs to a small level, and the interval time of each body motion time is 30 s. If the body motion time threshold is 10 s, the driver may be in a fatigue driving state.
  • Step S203 acquiring location information of the vehicle where the driver is located.
  • the position information of the vehicle where the driver is located can be obtained.
  • Step S204 Receive location information of the connected vehicle in the car network sent by the server.
  • the connected vehicles in the Internet of Vehicles can upload their respective location information to the vehicle networking server in real time, and the vehicle networking server can transmit the summary information to the terminal of the vehicle where the driver is located.
  • the terminal may report the server after detecting that the driver is in a fatigue driving state, and trigger the server to send the connected vehicle location information to the terminal; or may send the networked vehicle location information request to the server, thereby receiving the vehicle network sent by the server.
  • the location information of the networked vehicle may be directly received by the vehicle network server to periodically transmit the location information of the connected vehicle in the real-time car network information sent to the terminal, which is not specifically limited herein.
  • Step S205 determining a distance between the connected vehicle and the vehicle where the driver is located according to the location information of the vehicle where the driver is located and the location information of the connected vehicle in the vehicle network.
  • the terminal may analyze and determine each connected vehicle by combining the map information or the road information pre-stored in the terminal.
  • the distance from the vehicle where the driver is located may be a linear distance determined according to the location information of the vehicle, or may be an analysis of the determined distance of the driving path after combining the road information or the map information.
  • Step S206 sending driving warning information to the target connected vehicle whose distance from the vehicle where the driver is located does not exceed the first distance threshold in the vehicle network to which the driver is located.
  • the terminal may set a first distance threshold, determine a target connected vehicle that does not exceed the first distance threshold according to the distance between each connected vehicle and the vehicle where the driver is located in step S205, and then send the driving to the target connected vehicle. Warning message.
  • the driving warning information carries the location information and the vehicle identification of the vehicle where the driver is located, and when the target connected vehicle receives the driving warning information, the driving can be performed according to the driving The location information of the vehicle where the driver is located and the vehicle identification are avoided. For example, the distance obtained by the terminal from the A-connected vehicle is 10km, the distance from the B-connected vehicle is 2km, and the distance from the C-connected vehicle is 800m. If the first distance threshold set by the terminal is 5km, the terminal only goes to B. , C networked vehicles send driving warning information.
  • the steps S203-S206 may further be: sending the driving warning information to the server, so that the server forwards the driving warning information to the target networked vehicle, where the driving warning information is used to determine The target vehicle connected to the vehicle where the driver is located does not exceed the second distance threshold.
  • the terminal may send a driving warning message to the vehicle networking server.
  • the server may use the location information and the server of the vehicle where the driver is located.
  • the position information uploaded by each connected vehicle received in advance determines the distance between the connected vehicle and the vehicle where the driver is located.
  • the server may preset a second distance threshold, determine a target connected vehicle that does not exceed the second distance threshold according to a distance between the networked vehicle and the vehicle where the driver is located, and forward the driving warning information sent by the terminal to the server to the target connected vehicle.
  • step S206 is further configured to: send, to the connected vehicle, the driving warning information that carries the priority identifier, so that the connected vehicle preferentially receives when receiving at least two pieces of information including the driving warning information.
  • the driving warning message is further configured to: send, to the connected vehicle, the driving warning information that carries the priority identifier, so that the connected vehicle preferentially receives when receiving at least two pieces of information including the driving warning information.
  • the driving warning information sent to the connected vehicle in the Internet of Vehicles may further carry a priority identifier, so that the connected vehicle may suspend other receiving tasks or queue in the receiving queue as long as the priority identifier of the driving warning information is detected.
  • the receiving task is delayed and received, and the driving warning information is preferentially received.
  • a networked vehicle is receiving a broadcast message, and another voice message is being queued for reception.
  • the connected vehicle receives the traffic warning message carrying the priority identifier, and can pause receiving the broadcast information, delay receiving the voice information, and preferentially receive the traffic warning. information.
  • the method further includes: sending a vibration wake-up command to the vehicle seat where the driver is located, the vibration wake-up command is used to trigger vibration of the vehicle seat where the driver is located.
  • the vibration wake-up command may be sent to the driver's vehicle seat, and the driver's vehicle seat receives the vibration wake-up command to vibrate to wake the driver. It should be noted that the terminal and the vehicle seat have previously established a connection relationship.
  • the method may further include: sending a fatigue alarm signal.
  • the type of the fatigue alarm signal can be set according to the driver's preference, and can be a vibration prompt, a ringtone prompt, a voice prompt, and the like.
  • the embodiment of the present invention When determining that the driver is in a fatigue driving state, the embodiment of the present invention sends driving warning information to the connected vehicle in the Internet of Vehicle to which the driver is located, and the driving warning information carries the location of the vehicle where the driver is located.
  • Information and vehicle identification compared with the prior art scheme of simply issuing warning or emergency operation to the driver or the driver's vehicle, the present invention pays more attention to sending driving warning information to nearby vehicles in the vehicle network, so that other vehicles are driven according to the vehicle. The location information and the vehicle identification in the warning information are avoided, so that traffic accidents are more effectively avoided.
  • FIG. 3 is a structural diagram of a fatigue driving processing apparatus according to an embodiment of the present invention, and the apparatus shown in the figure includes:
  • the obtaining module 310 is configured to obtain physical state information of the driver.
  • the body state information may be the driver's facial feature information, the human eye feature information, the limb motion information, or the like, or may be the driver's pulse information, body motion information, respiratory frequency information, etc.
  • the acquisition module 310 may pass the camera. Taking images or videos to obtain body state information such as facial features or limb movements of the driver, and acquiring pulse information, body motion information, etc. recorded in the driver's wristband through an external device such as a smart bracelet worn by the driver or a smart watch. Body status information.
  • the acquiring module 310 may collect the image information of the driver or the video image frame, and then collect the body state information of the driver, or obtain the driver's body state information after being connected with the smart bracelet or the smart watch. .
  • the status module 320 is configured to determine that the driver is in a fatigue driving state according to the acquired physical state information of the driver.
  • the status module 320 may separately set the fatigue driving threshold for different body state information. If the currently collected driver's body state information does not meet the corresponding fatigue driving threshold, it may be determined that the driver is in a fatigue driving state. For example, if the driver's body state information acquired by the terminal is human eye information, the state module 320 may determine that the current driver is in a closed eye state according to the human eye recognition algorithm or the video detection technology, assuming that the set fatigue driving threshold is 30 seconds. That is to say, if the terminal detects that the driver is in the closed-eye state for more than 30 seconds, it is determined that the driver is in a fatigue driving state.
  • the body state information of the driver acquired by the terminal is the pulse information of the driver acquired by the wristband
  • the acquired pulse information is 70 times per minute
  • the set fatigue driving threshold is 60 times per minute
  • the pulse letter is The interest rate is greater than the fatigue driving threshold, which indicates that the current driver is not in a fatigue driving state.
  • the state module 320 can detect that the driver yawns for 6 times within 5 minutes according to the facial feature information, assuming that the fatigue driving is set. With a threshold of 2, you can be sure that the driver is in a fatigue driving state.
  • a plurality of different body state information may be acquired, different weight values are set, and the driver is comprehensively determined whether the driver is in a fatigue driving state.
  • the terminal can obtain the body motion information, the respiratory frequency information, the facial feature information, and the limb motion information of the driver, and assume that the weights of the driver's body motion information, respiratory frequency information, facial feature information, and limb motion information are respectively: 30%, 25%, 35%, 10%.
  • the status module 320 is configured to: determine, according to the body motion information, that the driver is in a fatigue driving state.
  • the acquiring module 310 can obtain the body motion information recorded in the driver's wristband through an external device such as a smart wristband or a smart watch worn by the driver.
  • the body motion recorder in the wearable device can detect the minute movement of the driver, and the acquisition module 310 can obtain the body movement amplitude, the body movement time and the like by acquiring the body motion information, and the state module 320 can pass the body motion information.
  • the body motion information obtained in the driver's body motion information belongs to a small level, and the interval time of each body motion time is 30 s. If the body motion time threshold value is 10 s, it can be stated that the driver is in a fatigue driving state.
  • the status module 320 may include a closed eye unit 321 and a state determining unit 322, as shown in FIG.
  • the closed eye unit 321 is configured to determine, according to the human eye state information, that the driver is in a closed eye state.
  • the acquiring module 310 may capture an image or a video containing the driver's eyes through the camera, and may collect the human eye state information of the driver according to the captured image frame containing the image or video of the driver's eyes, and the closed eye unit 321 According to the human eye recognition algorithm or the video detection technology, it can be determined whether the current driver is in a closed eye state.
  • the closed-eye unit 321 can determine whether the driver is in the closed-eye state by using the color parameter in the human eye state information. When the color parameter is black, the driver can be considered to be in a blinking state. When the parameter is not black, you can think The driver is in a closed eye state. Further, the closed-eye unit 321 can also determine whether the driver is in the closed-eye state by detecting the position of the human eyelashes, the detection of the pattern of the eyelids of the human eye, or the like.
  • the state determining unit 322 is configured to determine that the driver is in a fatigue driving state if it is detected that the time when the driver is in the closed eye state exceeds a time threshold.
  • the state determining unit 322 may start timing the duration of the current closed eye state, and continue to periodically obtain the driver's human eye state information, if the detection When the driver is in the closed eye state and the duration of the closed eye state exceeds the preset time threshold before the terminal, it can be determined that the driver is in a fatigue driving state.
  • the set time threshold is 10 s
  • the terminal detects that the driver is in the closed-eye state it starts counting the time in which the driver is in the closed-eye state. If the driver detects that the driver is not in the closed-eye state, the timing is cleared. If it is detected that the driver has been in the closed-eye state and has not changed and the time exceeds the time threshold of 10 s, it can be determined that the driver is in a fatigue driving state.
  • the warning module 330 is configured to send driving warning information to the connected vehicle in the Internet of Vehicle to which the driver is located, the driving warning information carrying location information and a vehicle identification of the vehicle where the driver is located.
  • the vehicle network to which the driver is located may be a pre-established connection relationship network between the driver's vehicle and other vehicles, and the vehicle where the driver is located may have an interconnection relationship with the vehicle in the vehicle network to which the driver belongs.
  • Vehicles in the Internet of Vehicles can share each other's location information, vehicle information, driving environment information, voice information, and the like.
  • the warning module 330 may be triggered to send driving warning information to the vehicle in the vehicle network to which the driver belongs, the driving warning information carrying the driver's vehicle.
  • the location information and the vehicle identification so that when the other connected vehicles receive the driving warning information, the location information and the vehicle identification of the driver's vehicle may be avoided.
  • other connected vehicles may also send driving warning information to surrounding vehicles by means of broadcasting or the like, and may also forward the driving warning information to vehicles in other vehicle networks if the connected vehicles are also joined to other vehicle networks.
  • the warning module 330 may first send the driving warning information to the vehicle networking server through the mobile wireless network, and then forward it to other connected vehicles in the vehicle network by the vehicle networking server, or obtain other connected vehicles from the vehicle networking server.
  • the terminal identification information is sent to the connected vehicle in the vehicle network via the Bluetooth or other wireless broadcast form.
  • the warning module 330 may also obtain location information of other connected vehicles in the vehicle network through the vehicle networking server, set a distance threshold according to location information of other connected vehicles, and send the vehicle to a vehicle within a threshold range of the distance of the vehicle where the driver is located.
  • the driving warning information may also be determined by the vehicle networking server based on the location information of the vehicle where the driver is located and the location information of other connected vehicles to determine the target connected vehicle that transmits the driving warning information.
  • vehicle and the terminal herein refer to an in-vehicle terminal mounted on the vehicle or a device built in the vehicle, and all have devices such as a sensor, a mobile communication module, a Bluetooth module, and a GPS positioning module.
  • the warning module 330 is configured to: send the driving warning information to the target networked vehicle in the vehicle network to which the driver is located and the vehicle in which the driver is located does not exceed the first distance threshold.
  • the warning module 330 may set a first distance threshold, determine a target connected vehicle that does not exceed the first distance threshold according to the obtained distance between each connected vehicle and the vehicle where the driver is located, and then send a driving warning to the target connected vehicle. information.
  • the driving warning information carries the location information of the vehicle where the driver is located and the vehicle identification. When the target connected vehicle receives the driving warning information, the driving information may be avoided according to the location information of the driver and the vehicle identification.
  • the obtained distance from the A-connected vehicle is 10 km
  • the distance from the B-connected vehicle is 2 km
  • the distance from the C-connected vehicle is 800 m
  • the warning module 330 Only send traffic warning messages to B and C connected vehicles.
  • the warning module 330 is configured to: send the driving warning information to a server, so that the server forwards the driving warning information to the target networked vehicle, where the driving warning information is used to determine The target vehicle connected to the vehicle where the driver is located does not exceed the second distance threshold.
  • the warning module 330 may send the driving warning information to the vehicle networking server. Because the driving warning information carries the location information of the vehicle where the driver is located, the server may be based on the location information of the driver's vehicle. And the location information uploaded by each connected vehicle received by the server in advance, determining the distance between the connected vehicle and the vehicle where the driver is located. The server may preset a second distance threshold, determine a target connected vehicle that does not exceed the second distance threshold according to a distance between the networked vehicle and the vehicle where the driver is located, and forward the driving warning information sent by the terminal to the server to the target connected vehicle.
  • the warning module 330 is configured to: send the optimality to the connected vehicle
  • the driving warning information is first identified to cause the connected vehicle to preferentially receive the driving warning information when receiving at least two pieces of information including the driving warning information.
  • the driving warning information sent by the warning module 330 to the connected vehicle in the Internet of Vehicles may further carry a priority identifier, so that the connected vehicle may suspend other receiving tasks or will be in the receiving queue as long as the priority identifier of the driving warning information is detected.
  • the receiving task queued in the queue is delayed and received, and the driving warning message is preferentially received.
  • a networked vehicle is receiving a broadcast message, and another voice message is being queued for reception.
  • the connected vehicle receives the traffic warning message carrying the priority identifier, and can pause receiving the broadcast information, delay receiving the voice information, and preferentially receive the traffic warning. information.
  • the location obtaining module 340 is configured to acquire location information of the vehicle where the driver is located.
  • the location obtaining module 340 can acquire the location information of the vehicle where the driver is located.
  • the location receiving module 350 is configured to receive location information of the networked vehicle in the car network sent by the server.
  • the connected vehicles in the Internet of Vehicles can upload their respective location information to the vehicle networking server in real time, and the vehicle networking server can send the information to the location receiving module 350 of the vehicle where the driver is located after collecting the summary.
  • the terminal may report the server after detecting that the driver is in a fatigue driving state, and trigger the server to send the connected vehicle location information to the terminal; or may send the networked vehicle location information request to the server, thereby receiving the vehicle network sent by the server.
  • the location information of the networked vehicle may be directly received by the vehicle network server to periodically transmit the location information of the connected vehicle in the real-time car network information sent to the terminal, which is not specifically limited herein.
  • the distance module 360 is configured to determine a distance between the networked vehicle and a vehicle where the driver is located according to location information of the vehicle where the driver is located and location information of the connected vehicle in the vehicle network.
  • the distance module 360 may combine the map information or the road information pre-stored in the terminal.
  • the analysis determines the distance between each connected vehicle and the vehicle where the driver is located. It should be noted that the distance here may be a linear distance determined according to the location information of the vehicle, or may be an analysis of the determined distance of the driving path after combining the road information or the map information.
  • a vibration module 370 configured to send a vibration wake-up command to the vehicle seat where the driver is located, the vibration The wake-up command is used to trigger the vibration of the seat of the vehicle where the driver is located.
  • the vibration module 370 may send a vibration wake-up command to the vehicle seat where the driver is located, and the driver's vehicle seat receives the vibration wake-up command to vibrate to wake the driver. It should be noted that the vibration module 370 and the vehicle seat have previously established a connection relationship.
  • the alarm module 380 is configured to send a fatigue alarm signal.
  • the type of the fatigue alarm signal sent by the alarm module 380 can be set according to the driver's preference, and can be a vibration prompt, a ringtone prompt, a voice prompt, and the like.
  • the embodiment of the present invention When determining that the driver is in a fatigue driving state, the embodiment of the present invention sends driving warning information to the connected vehicle in the Internet of Vehicle to which the driver is located, and the driving warning information carries the location of the vehicle where the driver is located.
  • Information and vehicle identification compared with the prior art scheme of simply issuing warning or emergency operation to the driver or the driver's vehicle, the present invention pays more attention to sending driving warning information to nearby vehicles in the vehicle network, so that other vehicles are driven according to the vehicle. The location information and the vehicle identification in the warning information are avoided, so that traffic accidents are more effectively avoided.
  • the storage medium may be a magnetic disk, an optical disk, a read-only memory (ROM), or a random access memory (RAM).

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Abstract

一种疲劳驾驶处理方法及装置，所述方法包括：获取驾驶人的身体状态信息（S101）；根据获取到的所述驾驶人的身体状态信息，确定所述驾驶人处于疲劳驾驶状态（S102）；向所述驾驶人所在车辆所属的车联网中的联网车辆发送行车警告信息，所述行车警告信息携带所述驾驶人所在车辆的位置信息和车辆标识（S103）。本方法和装置可以在检测到驾驶人处于疲劳驾驶状态时，警告车联网中的联网车辆，进而使联网车辆注意避让，从而更有效的避免交通事故的产生。

Description

一种疲劳驾驶处理方法及装置 技术领域
本发明涉及电子技术领域，尤其涉及一种疲劳驾驶处理方法及装置。
背景技术
随着汽车越来越多的成为人们的代步工具之后，行车安全问题也越来越受到人们的关注，其中，疲劳驾驶就是行车安全问题中一个亟待解决的问题。在现有技术方案中，通过终端检测到驾驶人处于疲劳驾驶状态时，终端发出警报声或者振动的方法来唤醒驾驶人，还可以进一步将终端与车辆控制装置相连接，从而控制车辆紧急刹车。但是现有技术存在的问题是，如果终端发出的警报不能很快地唤醒驾驶人时，疲劳驾驶人所在车辆就处于行车危险状态，且对其他车辆也会造成安全威胁。类似地，终端如果在确定驾驶人疲劳驾驶时控制车辆紧急刹车，其他车辆也有可能因为事发突然而造成车辆冲撞，从而造成交通事故。
发明内容
本发明实施例所要解决的技术问题在于，提供一种疲劳驾驶处理方法及装置，可以在检测到驾驶人处于疲劳驾驶状态时，警告车联网中的联网车辆，进而使联网车辆注意避让，从而更有效的避免交通事故的产生。
本发明实施例提供了一种疲劳驾驶处理方法，所述方法包括：
获取驾驶人的身体状态信息；
根据获取到的所述驾驶人的身体状态信息，确定所述驾驶人处于疲劳驾驶状态；
向所述驾驶人所在车辆所属的车联网中的联网车辆发送行车警告信息，所述行车警告信息携带所述驾驶人所在车辆的位置信息和车辆标识。
相应地，本发明实施例提供了一种疲劳驾驶处理装置，所述装置包括：
获取模块，用于获取驾驶人的身体状态信息；
状态模块，用于根据获取到的所述驾驶人的身体状态信息，确定所述驾驶 人处于疲劳驾驶状态；
警告模块，用于向所述驾驶人所在车辆所属的车联网中的联网车辆发送行车警告信息，所述行车警告信息携带所述驾驶人所在车辆的位置信息和车辆标识。
本发明实施例在确定所述驾驶人处于疲劳驾驶状态时，向所述驾驶人所在车辆所属的车联网中的联网车辆发送行车警告信息，所述行车警告信息携带所述驾驶人所在车辆的位置信息和车辆标识，较现有技术中单纯向驾驶人或驾驶人所在车辆做出警告或紧急操作的方案，本发明更注重向车联网中的其他车辆发送行车警告信息，以使其他车辆根据行车警告信息中的位置信息和车辆标识进行避让，从而更有效的避免交通事故的产生。
附图说明
为了更清楚地说明本发明实施例或现有技术中的技术方案，下面将对实施例或现有技术描述中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本发明的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他的附图。
图1是本发明实施例中一种疲劳驾驶处理方法的流程示意图；
图2是本发明另一实施例中疲劳驾驶处理方法的流程示意图；
图3是本发明实施例中一种疲劳驾驶处理装置的组成结构图；
图4是本发明实施例中图3的状态模块的组成结构图。
具体实施方式
下面将结合本发明实施例中的附图，对本发明实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例仅仅是本发明一部分实施例，而不是全部的实施例。基于本发明中的实施例，本领域普通技术人员在没有作出创造性劳动前提下所获得的所有其他实施例，都属于本发明保护的范围。
图1是本发明实施例中一种疲劳驾驶处理方法的流程示意图，本方法流程可以由疲劳驾驶处理装置实施，所述疲劳驾驶处理装置可以为用户终端或运行在用户终端的软件程序，所述用户终端可以包括手机、笔记本电脑、平板电脑、车载电脑、POS(Point Of Sales，销售点)机等。如图所示所述方法至少包括：
步骤S101，获取驾驶人的身体状态信息。
具体的，身体状态信息可以是驾驶人的脸部特征信息、人眼特征信息、肢体动作信息等，也可以是驾驶人的脉搏信息、体动信息、呼吸频率信息等，终端可以通过摄像头拍摄图像或者视频，获取驾驶人的面部特征或肢体动作等身体状态信息，也可以通过驾驶人佩戴的智能手环或者智能手表等外部设备，获取驾驶人手环中记录的脉搏信息、体动信息等身体状态信息。具体实施中，终端可以通过对摄像头拍摄到的图像或者视频图像帧进行解析后，采集驾驶人的身体状态信息，也可以通过与智能手环或者智能手表连接之后获取驾驶人的身体状态信息。
步骤S102，根据获取到的所述驾驶人的身体状态信息，确定所述驾驶人处于疲劳驾驶状态。
具体的，终端可以针对不同身体状态信息分别设定疲劳驾驶阈值，若当前采集的驾驶人的身体状态信息不符合其对应的疲劳驾驶阈值，则可以确定驾驶人处于疲劳驾驶状态。例如，若终端获取的驾驶人的身体状态信息为人眼信息，则根据人眼识别算法或者视频检测技术可以确定当前驾驶人处于闭眼状态，假设设定的疲劳驾驶阈值为30秒，那么就是说若终端检测到驾驶人处于闭眼状态超过30秒，则确定驾驶人处于疲劳驾驶状态。又例如，若终端获取的驾驶人的身体状态信息为手环获取的驾驶人的脉搏信息，假设获取到的脉搏信息为每分钟70次，设定的疲劳驾驶阈值为每分钟60次，脉搏信息大于疲劳驾驶阈值则可以说明当前驾驶人不处于疲劳驾驶状态。再例如，若终端获取的驾驶人的身体状态信息为脸部特征信息，根据脸部特征信息可以检测到在5分钟之内，驾驶人打呵欠了6次，假设设定的疲劳驾驶阈值为2次，则可以确定驾驶人处于疲劳驾驶状态。
进一步地，还可以获取多个不同的身体状态信息，设定不同的权重值，综合确定驾驶人是否处于疲劳驾驶状态。例如，终端可以获取驾驶人的体动信息、呼吸频率信息、脸部特征信息以及肢体动作信息，假设驾驶人的体动信息、呼吸频率信息、脸部特征信息以及肢体动作信息的权重分别为：30％、25％、35％、10％。其中，根据体动信息和呼吸频率信息确定当前驾驶人处于疲劳驾驶状态可以设为1，而根据脸部特征信息和肢体动作信息确定当前驾驶人不处于疲劳驾驶状态可以设为0，那么根据30％*1+25％*1+35％*0+10％*0＝0.55，可以认为当前 驾驶人处于疲劳驾驶状态。
步骤S103，向所述驾驶人所在车辆所属的车联网中的联网车辆发送行车警告信息，所述行车警告信息携带所述驾驶人所在车辆的位置信息和车辆标识。
具体的，驾驶人所在车辆所属的车联网可以是驾驶人所在车辆与其他车辆预先建立的连接关系网络，驾驶人所在车辆与其所属的车联网中的车辆都可以存在互联关系。在车联网中的车辆都可以互相分享彼此的位置信息、车辆信息、行车环境信息、语音信息等等。
在本实施例中，当终端在步骤S102中检测到驾驶人处于疲劳驾驶状态后，可以触发终端向其所属的车联网中的车辆发送行车警告信息，该行车警告信息中携带驾驶人所在车辆的位置信息和车辆标识，从而当其他联网车辆收到该行车警告信息时，可以根据驾驶人所在车辆的位置信息和车辆标识进行避让。进一步地，其他联网车辆还可以通过广播等方式向周围的车辆发送行车警告信息，若联网车辆还加入了其他车联网，也可以向其他车辆网中的车辆转发此行车警告信息。
具体实施中，终端可以通过移动无线网络先向车联网服务器发送行车警告信息，然后由车联网服务器转发给该车联网中的其他联网车辆，也可以从车联网服务器中获取其他联网车辆的终端标识信息，通过蓝牙或其他无线广播形式，向车联网中的联网车辆发送行车警告信息。
可选的，终端还可以通过车联网服务器获取车联网中其他联网车辆的位置信息，根据其他联网车辆的位置信息，设定距离阈值，向距离驾驶人所在车辆距离阈值范围内的车辆发送行车警告信息；也可以由车联网服务器根据驾驶人所在车辆的位置信息和其他联网车辆的位置信息，确定发送行车警告信息的目标联网车辆。
进一步可选的，向车联网中的联网车辆发送的行车警告信息还可以携带优先标识，以使联网车辆只要检测到行车警告信息的优先标识时，可以暂停其他的接收任务或者将在接收队列中排队的接收任务顺延接收，优先接收行车警告信息。
需要说明的是，这里的车辆以及终端都指的是安装在车辆上的车载终端或者是车辆中内置的设备，都具有传感器、移动通信模块、蓝牙模块、GPS定位模块等装置。
本发明实施例在确定所述驾驶人处于疲劳驾驶状态时，向所述驾驶人所在车辆所属的车联网中的联网车辆发送行车警告信息，所述行车警告信息携带所述驾驶人所在车辆的位置信息和车辆标识，较现有技术中单纯向驾驶人或驾驶人所在车辆做出警告或紧急操作的方案，本发明更注重向车联网中的其他车辆发送行车警告信息，以使其他车辆根据行车警告信息中的位置信息和车辆标识进行避让，从而更有效的避免交通事故的产生。
图2是本发明另一实施例中疲劳驾驶处理方法的流程示意图，如图所示所述方法包括：
步骤S201，根据所述人眼状态信息确定所述驾驶人处于闭眼状态。
具体的，终端可以通过摄像头拍摄包含驾驶人眼睛的图像或者视频，根据拍摄到的包含驾驶人眼睛的图像或者视频的图像帧，可以采集到驾驶人的人眼状态信息，根据人眼识别算法或者视频检测技术可以确定当前驾驶人是否处于闭眼状态。具体实施中，可以通过对人眼状态信息中的颜色参数来确定驾驶人是否处于闭眼状态，当颜色参数为偏黑色时，可以认为驾驶人是处于睁眼状态的，当颜色参数不为偏黑色时，可以认为驾驶人是处于闭眼状态的。进一步地，还可以通过对人眼睫毛的位置检测、人眼眼睑的纹路检测等方法来确定驾驶人是否处于闭眼状态。
步骤S202，若检测到所述驾驶人处于所述闭眼状态的时间超过时间阈值，则确定所述驾驶人处于疲劳驾驶状态。
具体的，当步骤S201中确定了驾驶人处于闭眼状态之后，则可以开始对当前闭眼状态的持续时间进行计时，并且继续定时获取驾驶人的人眼状态信息，若检测出驾驶人一直处于闭眼状态，且闭眼状态的持续时间超过了终端之前预设的时间阈值，则可以确定驾驶人处于疲劳驾驶状态。例如，设定时间阈值为10s，当终端检测到驾驶人处于闭眼状态后开始对其处于闭眼状态的时间进行计时，如果计时中检测到驾驶人不处于闭眼状态了，则计时清零；若检测到驾驶人一直处于闭眼状态未改变且时间超过了时间阈值10s，则可以确定驾驶人处于疲劳驾驶状态。
可选的，步骤S202还可以为：根据所述体动信息确定所述驾驶人处于疲劳驾驶状态。
具体的，终端还可以通过驾驶人佩戴的智能手环或者智能手表等外部设备，获取驾驶人手环中记录体动信息。可穿戴设备中的体动记录仪可以检测驾驶人的微小运动，终端通过获取体动信息，可以获知驾驶人的体动幅度、体动时间等参数，进而可以通过体动信息判断驾驶人是否处于疲劳驾驶状态。例如，终端获取到驾驶人的体动信息中体动幅度属于微小级别，且每次体动时间的间隔时间为30s，假设体动时间阈值是10s，则可以说明驾驶人处于疲劳驾驶状态。
步骤S203，获取所述驾驶人所在车辆的位置信息。
具体的，根据终端或者驾驶人所在车辆的GPS定位系统，可以获取驾驶人所在车辆的位置信息。
步骤S204，接收服务器发送的所述车联网中的联网车辆的位置信息。
具体的，车联网中的联网车辆可以向车联网服务器实时上传各自的位置信息，车联网服务器通过收集汇总之后可以发送给驾驶人所在车辆的终端。具体实施中，终端可以是在检测到驾驶人处于疲劳驾驶状态后报告服务器，触发服务器向终端发送联网车辆位置信息；也可以是向服务器发送联网车辆位置信息请求，从而接收服务器发送的车联网中的联网车辆的位置信息；还可以是直接接收车联网服务器定时向终端发送的实时车联网信息中携带的联网车辆位置信息，这里不作具体限定。
步骤S205，根据所述驾驶人所在车辆的位置信息和所述车联网中的联网车辆的位置信息，确定所述联网车辆与所述驾驶人所在车辆之间的距离。
具体的，根据步骤S204和步骤S205中获取到的驾驶人所在车辆的位置信息以及车联网中的联网车辆的位置信息，终端可以结合终端中预存的地图信息或道路信息，分析确定出各个联网车辆与驾驶人所在车辆之间的距离。需要说明的是，这里的距离可以是根据车辆的位置信息确定的直线距离，也可以是结合道路信息或地图信息之后分析确定出的行车路径距离等。
步骤S206，向所述驾驶人所在车辆所属的车联网中与所述驾驶人所在车辆距离不超过第一距离阈值的目标联网车辆发送行车警告信息。
具体的，终端可以设定第一距离阈值，根据步骤S205中获取的各个联网车辆与驾驶人所在车辆之间的距离，确定不超过第一距离阈值的目标联网车辆，进而向目标联网车辆发送行车警告信息。行车警告信息中携带驾驶人所在车辆的位置信息和车辆标识，当目标联网车辆收到该行车警告信息时，可以根据驾 驶人所在车辆的位置信息和车辆标识进行避让。例如，终端获取到的与A联网车辆的距离为10km，与B联网车辆的距离为2km，与C联网车辆的距离为800m，假设终端设定的第一距离阈值为5km，则终端仅向B、C联网车辆发送行车警告信息。
可选的，步骤S203～S206还可以为：向服务器发送所述行车警告信息，以使所述服务器向所述目标联网车辆转发所述行车警告信息，所述行车警告信息用于确定与所述驾驶人所在车辆距离不超过第二距离阈值的目标联网车辆。
具体的，终端在确定驾驶人处于疲劳驾驶状态后，可以向车联网服务器发送行车警告信息，由于行车警告信息中携带驾驶人所在车辆的位置信息，服务器可以根据驾驶人所在车辆的位置信息和服务器预先接收到的各个联网车辆上传的位置信息，确定联网车辆与驾驶人所在车辆之间的距离。服务器可以预设第二距离阈值，根据联网车辆与驾驶人所在车辆之间的距离确定不超过第二距离阈值的目标联网车辆，将终端向服务器发送的行车警告信息转发给目标联网车辆。
可选的，步骤S206还可以为：向所述联网车辆发送携带所述优先标识的所述行车警告信息，以使所述联网车辆在接收包括所述行车警告信息的至少两个信息时优先接收所述行车警告信息。
具体的，向车联网中的联网车辆发送的行车警告信息还可以携带优先标识，以使联网车辆只要检测到行车警告信息的优先标识时，可以暂停其他的接收任务或者将在接收队列中排队的接收任务顺延接收，优先接收行车警告信息。例如，联网车辆正在接收一个广播信息，另一个语音信息正在排队准备接收，此时联网车辆收到了携带优先标识的行车警告信息，则可以暂停接收广播信息，顺延接收语音信息，而优先接收行车警告信息。进一步地，还可以对优先标识设定优先级，根据设定的优先级级别确定接收次序。
进一步可选的，步骤S202之后还可以包括：向所述驾驶人所在车辆座椅发送振动唤醒指令，所述振动唤醒指令用于触发所述驾驶人所在车辆座椅振动。
具体的，当终端确定驾驶人处于驾驶疲劳状态之后，可以向驾驶人所在车辆座椅发送振动唤醒指令，驾驶人所在车辆座椅接收到振动唤醒指令可以振动以唤醒驾驶人。需要说明的是，这里终端与车辆座椅在之前已建立了连接关系。
进一步可选的，步骤S202之后还可以包括：发出疲劳报警信号。
具体的，疲劳报警信号的类型可以根据驾驶员偏好进行设置，可以是震动提示、铃声提示、语音提示等。
本发明实施例在确定所述驾驶人处于疲劳驾驶状态时，向所述驾驶人所在车辆所属的车联网中的联网车辆发送行车警告信息，所述行车警告信息携带所述驾驶人所在车辆的位置信息和车辆标识，较现有技术中单纯向驾驶人或驾驶人所在车辆做出警告或紧急操作的方案，本发明更注重向车联网中的附近车辆发送行车警告信息，以使其他车辆根据行车警告信息中的位置信息和车辆标识进行避让，从而更有效的避免交通事故的产生。
图3是本发明实施例中一种疲劳驾驶处理装置的组成结构图，如图所示所述装置包括：
获取模块310，用于获取驾驶人的身体状态信息。
具体的，身体状态信息可以是驾驶人的脸部特征信息、人眼特征信息、肢体动作信息等，也可以是驾驶人的脉搏信息、体动信息、呼吸频率信息等，获取模块310可以通过摄像头拍摄图像或者视频，获取驾驶人的面部特征或肢体动作等身体状态信息，也可以通过驾驶人佩戴的智能手环或者智能手表等外部设备，获取驾驶人手环中记录的脉搏信息、体动信息等身体状态信息。具体实施中，获取模块310可以通过对摄像头拍摄到的图像或者视频图像帧进行解析后，采集驾驶人的身体状态信息，也可以通过与智能手环或者智能手表连接之后获取驾驶人的身体状态信息。
状态模块320，用于根据获取到的所述驾驶人的身体状态信息，确定所述驾驶人处于疲劳驾驶状态。
具体的，状态模块320可以针对不同身体状态信息分别设定疲劳驾驶阈值，若当前采集的驾驶人的身体状态信息不符合其对应的疲劳驾驶阈值，则可以确定驾驶人处于疲劳驾驶状态。例如，若终端获取的驾驶人的身体状态信息为人眼信息，则状态模块320根据人眼识别算法或者视频检测技术可以确定当前驾驶人处于闭眼状态，假设设定的疲劳驾驶阈值为30秒，那么就是说若终端检测到驾驶人处于闭眼状态超过30秒，则确定驾驶人处于疲劳驾驶状态。又例如，若终端获取的驾驶人的身体状态信息为手环获取的驾驶人的脉搏信息，假设获取到的脉搏信息为每分钟70次，设定的疲劳驾驶阈值为每分钟60次，脉搏信 息大于疲劳驾驶阈值则可以说明当前驾驶人不处于疲劳驾驶状态。再例如，若终端获取的驾驶人的身体状态信息为脸部特征信息，状态模块320根据脸部特征信息可以检测到在5分钟之内，驾驶人打呵欠了6次，假设设定的疲劳驾驶阈值为2次，则可以确定驾驶人处于疲劳驾驶状态。
进一步地，还可以获取多个不同的身体状态信息，设定不同的权重值，综合确定驾驶人是否处于疲劳驾驶状态。例如，终端可以获取驾驶人的体动信息、呼吸频率信息、脸部特征信息以及肢体动作信息，假设驾驶人的体动信息、呼吸频率信息、脸部特征信息以及肢体动作信息的权重分别为：30％、25％、35％、10％。其中，状态模块320根据体动信息和呼吸频率信息确定当前驾驶人处于疲劳驾驶状态可以设为1，而根据脸部特征信息和肢体动作信息确定当前驾驶人不处于疲劳驾驶状态可以设为0，那么根据30％*1+25％*1+35％*0+10％*0＝0.55，可以认为当前驾驶人处于疲劳驾驶状态。
可选的，状态模块320用于：根据所述体动信息确定所述驾驶人处于疲劳驾驶状态。
具体的，获取模块310还可以通过驾驶人佩戴的智能手环或者智能手表等外部设备，获取驾驶人手环中记录体动信息。可穿戴设备中的体动记录仪可以检测驾驶人的微小运动，获取模块310通过获取体动信息，可以获知驾驶人的体动幅度、体动时间等参数，进而状态模块320可以通过体动信息判断驾驶人是否处于疲劳驾驶状态。例如，获取到驾驶人的体动信息中体动幅度属于微小级别，且每次体动时间的间隔时间为30s，假设体动时间阈值是10s，则可以说明驾驶人处于疲劳驾驶状态。
进一步地，状态模块320可以包括：闭眼单元321和状态确定单元322，如图4所示。
闭眼单元321，用于根据所述人眼状态信息确定所述驾驶人处于闭眼状态。
具体的，获取模块310可以通过摄像头拍摄包含驾驶人眼睛的图像或者视频，根据拍摄到的包含驾驶人眼睛的图像或者视频的图像帧，可以采集到驾驶人的人眼状态信息，闭眼单元321根据人眼识别算法或者视频检测技术可以确定当前驾驶人是否处于闭眼状态。具体实施中，闭眼单元321可以通过对人眼状态信息中的颜色参数来确定驾驶人是否处于闭眼状态，当颜色参数为偏黑色时，可以认为驾驶人是处于睁眼状态的，当颜色参数不为偏黑色时，可以认为 驾驶人是处于闭眼状态的。进一步地，闭眼单元321还可以通过对人眼睫毛的位置检测、人眼眼睑的纹路检测等方法来确定驾驶人是否处于闭眼状态。
状态确定单元322，用于若检测到所述驾驶人处于所述闭眼状态的时间超过时间阈值，则确定所述驾驶人处于疲劳驾驶状态。
具体的，当闭眼单元321确定了驾驶人处于闭眼状态之后，则状态确定单元322可以开始对当前闭眼状态的持续时间进行计时，并且继续定时获取驾驶人的人眼状态信息，若检测出驾驶人一直处于闭眼状态，且闭眼状态的持续时间超过了终端之前预设的时间阈值，则可以确定驾驶人处于疲劳驾驶状态。例如，设定时间阈值为10s，当终端检测到驾驶人处于闭眼状态后开始对其处于闭眼状态的时间进行计时，如果计时中检测到驾驶人不处于闭眼状态了，则计时清零，若检测到驾驶人一直处于闭眼状态未改变且时间超过了时间阈值10s，则可以确定驾驶人处于疲劳驾驶状态。
警告模块330，用于向所述驾驶人所在车辆所属的车联网中的联网车辆发送行车警告信息，所述行车警告信息携带所述驾驶人所在车辆的位置信息和车辆标识。
具体的，驾驶人所在车辆所属的车联网可以是驾驶人所在车辆与其他车辆预先建立的连接关系网络，驾驶人所在车辆与其所属的车联网中的车辆都可以存在互联关系。在车联网中的车辆都可以互相分享彼此的位置信息、车辆信息、行车环境信息、语音信息等等。
在本实施例中，当状态模块320检测到驾驶人处于疲劳驾驶状态后，可以触发警告模块330向其所属的车联网中的车辆发送行车警告信息，该行车警告信息中携带驾驶人所在车辆的位置信息和车辆标识，从而当其他联网车辆收到该行车警告信息时，可以根据驾驶人所在车辆的位置信息和车辆标识进行避让。进一步地，其他联网车辆还可以通过广播等方式向周围的车辆发送行车警告信息，若联网车辆还加入了其他车联网，也可以向其他车辆网中的车辆转发此行车警告信息。
具体实施中，警告模块330可以通过移动无线网络先向车联网服务器发送行车警告信息，然后由车联网服务器转发给该车联网中的其他联网车辆，也可以从车联网服务器中获取其他联网车辆的终端标识信息，通过蓝牙或其他无线广播形式，向车联网中的联网车辆发送行车警告信息。
可选的，警告模块330还可以通过车联网服务器获取车联网中其他联网车辆的位置信息，根据其他联网车辆的位置信息，设定距离阈值，向距离驾驶人所在车辆距离阈值范围内的车辆发送行车警告信息；也可以由车联网服务器根据驾驶人所在车辆的位置信息和其他联网车辆的位置信息，确定发送行车警告信息的目标联网车辆。
需要说明的是，这里的车辆以及终端都指的是安装在车辆上的车载终端或者是车辆中内置的设备，都具有传感器、移动通信模块、蓝牙模块、GPS定位模块等装置。
可选的，所述警告模块330用于：向所述驾驶人所在车辆所属的车联网中与所述驾驶人所在车辆距离不超过第一距离阈值的目标联网车辆发送行车警告信息。
具体的，警告模块330可以设定第一距离阈值，根据获取的各个联网车辆与驾驶人所在车辆之间的距离，确定不超过第一距离阈值的目标联网车辆，进而向目标联网车辆发送行车警告信息。行车警告信息中携带驾驶人所在车辆的位置信息和车辆标识，当目标联网车辆收到该行车警告信息时，可以根据驾驶人所在车辆的位置信息和车辆标识进行避让。例如，获取到的与A联网车辆的距离为10km，与B联网车辆的距离为2km，与C联网车辆的距离为800m，假设警告模块330设定的第一距离阈值为5km，则警告模块330仅向B、C联网车辆发送行车警告信息。
可选的，所述警告模块330用于：向服务器发送所述行车警告信息，以使所述服务器向所述目标联网车辆转发所述行车警告信息，所述行车警告信息用于确定与所述驾驶人所在车辆距离不超过第二距离阈值的目标联网车辆。
具体的，在确定驾驶人处于疲劳驾驶状态后，警告模块330可以向车联网服务器发送行车警告信息，由于行车警告信息中携带驾驶人所在车辆的位置信息，服务器可以根据驾驶人所在车辆的位置信息和服务器预先接收到的各个联网车辆上传的位置信息，确定联网车辆与驾驶人所在车辆之间的距离。服务器可以预设第二距离阈值，根据联网车辆与驾驶人所在车辆之间的距离确定不超过第二距离阈值的目标联网车辆，将终端向服务器发送的行车警告信息转发给目标联网车辆。
进一步可选的，所述警告模块330用于：向所述联网车辆发送携带所述优 先标识的所述行车警告信息，以使所述联网车辆在接收包括所述行车警告信息的至少两个信息时优先接收所述行车警告信息。
具体的，警告模块330向车联网中的联网车辆发送的行车警告信息还可以携带优先标识，以使联网车辆只要检测到行车警告信息的优先标识时，可以暂停其他的接收任务或者将在接收队列中排队的接收任务顺延接收，优先接收行车警告信息。例如，联网车辆正在接收一个广播信息，另一个语音信息正在排队准备接收，此时联网车辆收到了携带优先标识的行车警告信息，则可以暂停接收广播信息，顺延接收语音信息，而优先接收行车警告信息。进一步地，还可以对优先标识设定优先级，根据设定的优先级级别确定接收次序。
位置获取模块340，用于获取所述驾驶人所在车辆的位置信息。
具体的，根据终端或者驾驶人所在车辆的GPS定位系统，位置获取模块340可以获取驾驶人所在车辆的位置信息。
位置接收模块350，用于接收服务器发送的所述车联网中的联网车辆的位置信息。
具体的，车联网中的联网车辆可以向车联网服务器实时上传各自的位置信息，车联网服务器通过收集汇总之后可以发送给驾驶人所在车辆的位置接收模块350。具体实施中，终端可以是在检测到驾驶人处于疲劳驾驶状态后报告服务器，触发服务器向终端发送联网车辆位置信息；也可以是向服务器发送联网车辆位置信息请求，从而接收服务器发送的车联网中的联网车辆的位置信息；还可以是直接接收车联网服务器定时向终端发送的实时车联网信息中携带的联网车辆位置信息，这里不作具体限定。
距离模块360，用于根据所述驾驶人所在车辆的位置信息和所述车联网中的联网车辆的位置信息，确定所述联网车辆与所述驾驶人所在车辆之间的距离。
具体的，根据位置获取模块340和位置接收模块350中获取到的驾驶人所在车辆的位置信息以及车联网中的联网车辆的位置信息，距离模块360可以结合终端中预存的地图信息或道路信息，分析确定出各个联网车辆与驾驶人所在车辆之间的距离。需要说明的是，这里的距离可以是根据车辆的位置信息确定的直线距离，也可以是结合道路信息或地图信息之后分析确定出的行车路径距离等。
振动模块370，用于向所述驾驶人所在车辆座椅发送振动唤醒指令，所述振 动唤醒指令用于触发所述驾驶人所在车辆座椅振动。
具体的，当终端确定驾驶人处于驾驶疲劳状态之后，振动模块370可以向驾驶人所在车辆座椅发送振动唤醒指令，驾驶人所在车辆座椅接收到振动唤醒指令可以振动以唤醒驾驶人。需要说明的是，这里振动模块370与车辆座椅在之前已建立了连接关系。
报警模块380，用于发出疲劳报警信号。
具体的，报警模块380发出的疲劳报警信号的类型可以根据驾驶员偏好进行设置，可以是震动提示、铃声提示、语音提示等。
本发明实施例在确定所述驾驶人处于疲劳驾驶状态时，向所述驾驶人所在车辆所属的车联网中的联网车辆发送行车警告信息，所述行车警告信息携带所述驾驶人所在车辆的位置信息和车辆标识，较现有技术中单纯向驾驶人或驾驶人所在车辆做出警告或紧急操作的方案，本发明更注重向车联网中的附近车辆发送行车警告信息，以使其他车辆根据行车警告信息中的位置信息和车辆标识进行避让，从而更有效的避免交通事故的产生。
本领域普通技术人员可以理解实现上述实施例方法中的全部或部分流程，是可以通过计算机程序来指令相关的硬件来完成，所述的程序可存储于一计算机可读取存储介质中，该程序在执行时，可包括如上述各方法的实施例的流程。其中，所述的存储介质可为磁碟、光盘、只读存储记忆体(Read-Only Memory，ROM)或随机存储记忆体(Random Access Memory，RAM)等。
以上所揭露的仅为本发明较佳实施例而已，当然不能以此来限定本发明之权利范围，因此依本发明权利要求所作的等同变化，仍属本发明所涵盖的范围。

Claims (18)

  1. 一种疲劳驾驶处理方法，其特征在于，所述方法包括：
    获取驾驶人的身体状态信息；
    根据获取到的所述驾驶人的身体状态信息，确定所述驾驶人处于疲劳驾驶状态；
    向所述驾驶人所在车辆所属的车联网中的联网车辆发送行车警告信息，所述行车警告信息携带所述驾驶人所在车辆的位置信息和车辆标识。
  2. 如权利要求1所述的疲劳驾驶处理方法，其特征在于，所述向所述驾驶人所在车辆所属的车联网中的联网车辆发送行车警告信息包括：
    向所述驾驶人所在车辆所属的车联网中与所述驾驶人所在车辆距离不超过第一距离阈值的目标联网车辆发送行车警告信息。
  3. 如权利要求2所述的疲劳驾驶处理方法，其特征在于，所述方法还包括：
    获取所述驾驶人所在车辆的位置信息；
    接收服务器发送的所述车联网中的联网车辆的位置信息；
    根据所述驾驶人所在车辆的位置信息和所述车联网中的联网车辆的位置信息，确定所述联网车辆与所述驾驶人所在车辆之间的距离。
  4. 如权利要求1所述的疲劳驾驶处理方法，其特征在于，所述向所述驾驶人所在车辆所属的车联网中的联网车辆发送行车警告信息包括：
    向服务器发送所述行车警告信息，以使所述服务器向所述目标联网车辆转发所述行车警告信息，所述行车警告信息用于确定与所述驾驶人所在车辆距离不超过第二距离阈值的目标联网车辆。
  5. 如权利要求1所述的疲劳驾驶处理方法，其特征在于，所述行车警告信息携带优先标识；
    所述向所述驾驶人所在车辆所属的车联网中的联网车辆发送行车警告信息包括：
    向所述联网车辆发送携带所述优先标识的所述行车警告信息，以使所述联网车辆在接收包括所述行车警告信息的至少两个信息时优先接收所述行车警告信息。
  6. 如权利要求1所述的疲劳驾驶处理方法，其特征在于，所述身体状态信息包括人眼状态信息；
    所述根据获取到的所述驾驶人的身体状态信息，确定所述驾驶人处于疲劳驾驶状态包括：
    根据所述人眼状态信息确定所述驾驶人处于闭眼状态；
    若检测到所述驾驶人处于所述闭眼状态的时间超过时间阈值，则确定所述驾驶人处于疲劳驾驶状态。
  7. 如权利要求1所述的疲劳驾驶处理方法，其特征在于，所述身体状态信息包括体动信息；
    所述根据获取到的所述驾驶人的身体状态信息，确定所述驾驶人处于疲劳驾驶状态包括：
    根据所述体动信息确定所述驾驶人处于疲劳驾驶状态。
  8. 如权利要求1所述的疲劳驾驶处理方法，其特征在于，所述根据获取到的所述驾驶人的身体状态信息，确定所述驾驶人处于疲劳驾驶状态之后还包括：
    向所述驾驶人所在车辆座椅发送振动唤醒指令，所述振动唤醒指令用于触发所述驾驶人所在车辆座椅振动。
  9. 如权利要求1所述的疲劳驾驶处理方法，其特征在于，所述根据获取到的所述驾驶人的身体状态信息，确定所述驾驶人处于疲劳驾驶状态之后还包括：
    发出疲劳报警信号。
  10. 一种疲劳驾驶处理装置，其特征在于，所述装置包括：
    获取模块，用于获取驾驶人的身体状态信息；
    状态模块，用于根据获取到的所述驾驶人的身体状态信息，确定所述驾驶 人处于疲劳驾驶状态；
    警告模块，用于向所述驾驶人所在车辆所属的车联网中的联网车辆发送行车警告信息，所述行车警告信息携带所述驾驶人所在车辆的位置信息和车辆标识。
  11. 如权利要求10所述的疲劳驾驶处理装置，其特征在于，所述警告模块用于：
    向所述驾驶人所在车辆所属的车联网中与所述驾驶人所在车辆距离不超过第一距离阈值的目标联网车辆发送行车警告信息。
  12. 如权利要求11所述的疲劳驾驶处理装置，其特征在于，所述装置还包括：
    位置获取模块，用于获取所述驾驶人所在车辆的位置信息；
    位置接收模块，用于接收服务器发送的所述车联网中的联网车辆的位置信息；
    距离模块，用于根据所述驾驶人所在车辆的位置信息和所述车联网中的联网车辆的位置信息，确定所述联网车辆与所述驾驶人所在车辆之间的距离。
  13. 如权利要求10所述的疲劳驾驶处理装置，其特征在于，所述警告模块用于：
    向服务器发送所述行车警告信息，以使所述服务器向所述目标联网车辆转发所述行车警告信息，所述行车警告信息用于确定与所述驾驶人所在车辆距离不超过第二距离阈值的目标联网车辆。
  14. 如权利要求10所述的疲劳驾驶处理装置，其特征在于，所述行车警告信息携带优先标识；
    所述警告模块用于：
    向所述联网车辆发送携带所述优先标识的所述行车警告信息，以使所述联网车辆在接收包括所述行车警告信息的至少两个信息时优先接收所述行车警告信息。
  15. 如权利要求10所述的疲劳驾驶处理装置，其特征在于，所述身体状态信息包括人眼状态信息；
    所述状态模块包括：
    闭眼单元，用于根据所述人眼状态信息确定所述驾驶人处于闭眼状态；
    状态确定单元，用于若检测到所述驾驶人处于所述闭眼状态的时间超过时间阈值，则确定所述驾驶人处于疲劳驾驶状态。
  16. 如权利要求10所述的疲劳驾驶处理装置，其特征在于，所述身体状态信息包括体动信息；
    所述状态模块用于：
    根据所述体动信息确定所述驾驶人处于疲劳驾驶状态。
  17. 如权利要求10所述的疲劳驾驶处理装置，其特征在于，所述装置还包括：
    振动模块，用于向所述驾驶人所在车辆座椅发送振动唤醒指令，所述振动唤醒指令用于触发所述驾驶人所在车辆座椅振动。
  18. 如权利要求10所述的疲劳驾驶处理装置，其特征在于，所述装置还包括：
    报警模块，用于发出疲劳报警信号。
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