CN110682863A - Device and method for early warning of fatigue driving of driver of truck - Google Patents
Device and method for early warning of fatigue driving of driver of truck Download PDFInfo
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- CN110682863A CN110682863A CN201910831457.XA CN201910831457A CN110682863A CN 110682863 A CN110682863 A CN 110682863A CN 201910831457 A CN201910831457 A CN 201910831457A CN 110682863 A CN110682863 A CN 110682863A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60Q—ARRANGEMENT OF SIGNALLING OR LIGHTING DEVICES, THE MOUNTING OR SUPPORTING THEREOF OR CIRCUITS THEREFOR, FOR VEHICLES IN GENERAL
- B60Q9/00—Arrangement or adaptation of signal devices not provided for in one of main groups B60Q1/00 - B60Q7/00, e.g. haptic signalling
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60Q—ARRANGEMENT OF SIGNALLING OR LIGHTING DEVICES, THE MOUNTING OR SUPPORTING THEREOF OR CIRCUITS THEREFOR, FOR VEHICLES IN GENERAL
- B60Q1/00—Arrangement of optical signalling or lighting devices, the mounting or supporting thereof or circuits therefor
- B60Q1/26—Arrangement of optical signalling or lighting devices, the mounting or supporting thereof or circuits therefor the devices being primarily intended to indicate the vehicle, or parts thereof, or to give signals, to other traffic
- B60Q1/50—Arrangement of optical signalling or lighting devices, the mounting or supporting thereof or circuits therefor the devices being primarily intended to indicate the vehicle, or parts thereof, or to give signals, to other traffic for indicating other intentions or conditions, e.g. request for waiting or overtaking
- B60Q1/52—Arrangement of optical signalling or lighting devices, the mounting or supporting thereof or circuits therefor the devices being primarily intended to indicate the vehicle, or parts thereof, or to give signals, to other traffic for indicating other intentions or conditions, e.g. request for waiting or overtaking for indicating emergencies
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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
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Abstract
A device and a method for early warning of fatigue driving of a driver of a truck are provided. According to the invention, the heart rate of the driver before driving is preliminarily detected through the first preset heart rate, and then when the heart rate of the driver is too low due to diseases, fatigue driving and the like, the driver is warned in advance to avoid dangerous driving. The fatigue state of the driver is preliminarily determined by the quick comparison of the initial heart rate and the first judgment heart rate, and the detection accuracy is favorably improved. According to the method, the initial facial information of the driver is combined with the existing public facial three-dimensional model to generate the first judgment facial model, and then the existing fatigue driving expression library is combined to generate the first facial expression three-dimensional comparison library, so that drivers with different facial features can have independent facial expression three-dimensional comparison libraries, and the identification accuracy of the fatigue state of the driver is improved.
Description
Technical Field
The invention relates to the field of automobile safety early warning, in particular to a device and a method for early warning of fatigue driving of a driver of a truck.
Background
With the development of society and the improvement of living standard of people, automobiles become a transportation tool which can be borne by ordinary families, but traffic accidents are also increased rapidly. The fatigue driving is an important cause of traffic accidents, more than one third of the traffic accidents are caused by fatigue of drivers according to statistics, and the accidents caused by the fatigue driving are often major accidents. The economic loss caused by traffic accidents caused by fatigue driving in China is up to billions of yuan each year, and 9 tens of thousands of people die or seriously hurt each year because of the accidents caused by the fatigue driving.
Currently, fatigue driving has no clear assessment criteria. Although the road traffic safety law stipulates that the motor vehicle cannot be driven because the safety driving is influenced by the excessive fatigue. "" continuously driving a vehicle for more than 4 hours without a break, or with a break of less than 20 minutes, a 200 dollar penalty. However, for fatigue driving, no specific definition standard exists in domestic regulations at present, as for driving time and rest time, the definition is difficult, and the operation is difficult in actual traffic management work, so that the problem of whether to rest or not can be performed only by the conscious of drivers, but some drivers pay less attention to the problem or risk in hope of interest, so that accidents caused by fatigue driving sometimes occur. For preventing fatigue driving, the method mainly has the advantages of greatly publicizing the harm and coping method of fatigue driving and striving for the support of individuals and units; deep education is performed, and the restraint capability of a driver is improved; the management and the inspection are enhanced, the functions of the entrances of the highways and the bayonets of the boundary traffic safety inspection stations are fully exerted, electronic monitoring and road surface inspection are pertinently carried out in key time periods and key road sections, drivers who are obviously tired can be prevented and punished in time, and measures are taken for corresponding disposal. However, these measures only prevent fatigue driving to some extent, and the real problem is still in the driver himself.
In order to effectively and quickly detect the fatigue driving of the truck driver through the external facilities, a fatigue driving detection method is provided under the patent application number CN200910110369.7, which determines the fatigue driving state of the driver by judging the closed state of the eyes of the driver in a period of time. However, this type of method has the following problems: 1. fatigue driving mostly takes place at night, and illumination effect is not good night, and judges the closed photographic image that needs the precision height of eye, in case receive that light is darker, when camera definition, driver head motion etc. influence lead to the image unclear, noise point increase, just can't guarantee the accuracy. 2. Even accessible high definition night camera acquires eye high definition image, nevertheless because the eye size of different drivers and the problem of use habit, the eye just can appear getting lost state and not closed etc. when the driver is squinting, driver fatigue to make the practical function of this type of method not good.
The existing methods for detecting the heart rate of the driver also have the following problems: 1. some old drivers' heart rate level itself is lower, and then the heart rate change will cause great fluctuation a bit, and it often takes place to detect the condition that can have the false alarm with the heart rate alone.
Therefore, a method and a system for warning fatigue driving of a driver of a motor vehicle, which are efficient, accurate in measurement, quick in feedback, convenient to maintain and capable of combining heart rate detection and a facial expression model, become necessary.
Disclosure of Invention
In order to solve the technical problem, the invention provides a device and a method for early warning of fatigue driving of a driver of a truck, which are used for detecting the fatigue driving condition of the driver and generating related reminding information in time.
The invention provides a method for early warning of fatigue driving of a driver of a truck, which comprises the following steps: s1, when the driver is confirmed to enter the driving position and starts to drive, obtaining the initial heart rate of the driver, and comparing the initial heart rate with a first preset heart rate, wherein the first preset heart rate is 45 times/minute; s2, when the initial heart rate is determined to be larger than a first preset heart rate, recording the initial heart rate as a first judgment heart rate, and simultaneously acquiring initial facial information of a driver, wherein the initial facial information comprises facial three-dimensional features and facial texture features; s3, generating a first judgment face model by combining the existing public face three-dimensional model according to the initial face information of the driver, and further generating a first facial expression three-dimensional comparison library by combining the existing fatigue driving expression library; s4, when the truck starts to run, recording the real-time heart rate of the driver at preset time intervals, and when the time proportion that the real-time heart rate is lower than 10% of the first preset heart rate in the preset time exceeds 20%, acquiring the real-time facial information of the driver, and inputting the real-time facial information into the first judgment facial model to obtain a second judgment facial model; s5, comparing the second determination face model with the first face expression three-dimensional comparison library; and S6, when the time for the second facial expression model to be matched with the first facial expression three-dimensional comparison library exceeds 20% in the preset time, determining that the driver is tired to drive, and further generating first reminding information.
Further, the step S1 specifically includes: s11, determining whether the automobile driving position is occupied or not by matching the ADAS camera in the automobile with the VCU; s12, determining whether the automobile starts to run or not after the driver seat of the automobile is determined to be occupied; s13, after the automobile starts to run, measuring the initial heart rate of the driver by matching a plurality of heart rate detectors arranged on the steering wheel of the automobile; s14, comparing the measurement of the initial heart rate with a first preset heart rate.
Further, "acquiring the driver initial face information" in step S2 is specifically: s21, respectively shooting face images of the driver from multiple angles; s22, positioning the facial feature points of the driver from the facial image, and determining the three-dimensional position relationship of each feature point to further generate the three-dimensional facial features; and S23, identifying the color and texture of the slide block formed between the adjacent feature points, and further generating the facial texture feature.
Further, in step S2, when it is determined that the initial heart rate is smaller than the first preset heart rate, a second reminding message is sent, where the first reminding message and the second reminding message both include a light warning message and a voice alarm message.
Further, step S3 specifically includes: s31, inputting the three-dimensional features of the face into a public face three-dimensional model, and preliminarily regulating the public face three-dimensional model to obtain a preliminary three-dimensional model which is approximately consistent with the face of the driver; s32, inputting the facial texture features into the preliminary three-dimensional model, sewing each sliding block with the preliminary three-dimensional model, and further performing smoothing treatment to obtain a first judgment face model; and S33, respectively inputting the facial texture features of the existing fatigue driving expression library into the first judgment facial model, and collecting the obtained new expression models into a first facial expression three-dimensional comparison library.
Further, when determining that the driver is tired, the automobile can automatically turn on double flashing lights to give an early warning to surrounding vehicles.
Further, when the driver fatigue driving is determined to exceed 10 minutes, reminding information is sent to the traffic management platform, wherein the reminding information comprises truck position information and driver initial face information.
The invention also provides a warning device for fatigue driving of a driver of a truck, which comprises: the heart rate detection units are uniformly distributed on the outer side of the steering wheel, so that the initial heart rate and the real-time heart rate can be measured by the hands of a driver; the system comprises an image acquisition unit, a display unit and a display unit, wherein the image acquisition unit comprises a plurality of ADAS in-vehicle cameras for acquiring initial facial information and real-time facial information of a driver; the model generation unit can generate a first judgment face model by combining the existing public face three-dimensional model according to the initial face information of the driver and can also generate a first facial expression three-dimensional comparison library by combining the existing fatigue driving expression library; the first information processing unit is used for judging and processing the numerical value of the initial heart rate and the first preset heart rate of the driver and judging and processing the numerical value of the real-time heart rate and the first judgment heart rate; the second information processing unit is used for judging whether the time for the second judgment face model to be in accordance with the first face expression three-dimensional comparison library exceeds 20% within the preset time, and further sending a starting signal to the alarm unit when the time is in accordance with the conditions; the alarm unit is used for generating first reminding information and second reminding information; the first information processing unit and the second information processing unit are electrically connected with a VCU of the automobile.
And the remote communication unit can send reminding information to the traffic management platform, wherein the reminding information comprises initial face information of a driver and truck position information provided by an automobile GPS system.
Further, the alarm unit comprises a buzzer alarm and an LED alarm indicator lamp.
The invention has the beneficial effects that: 1. according to the invention, the heart rate of the driver before driving is preliminarily detected through the first preset heart rate, and then when the heart rate of the driver is too low due to diseases, fatigue driving and the like, the driver is warned in advance to avoid dangerous driving. The fatigue state of the driver is preliminarily determined by the quick comparison of the initial heart rate and the first judgment heart rate, and the detection accuracy is favorably improved. 2. According to the method, the initial facial information of the driver is combined with the existing public facial three-dimensional model to generate the first judgment facial model, and then the existing fatigue driving expression library is combined to generate the first facial expression three-dimensional comparison library, so that drivers with different facial features can have independent facial expression three-dimensional comparison libraries, and the identification accuracy of the fatigue state of the driver is improved. 3. According to the invention, the second judgment face model is obtained by combining the real-time face information and the first judgment face model, so that the real-time comparison with the three-dimensional comparison library of the first face expression is facilitated, the face fatigue state of the driver is confirmed, and the detection accuracy can be obviously improved by matching with heart rate detection. 4. The invention can remind the driver in time when confirming the fatigue driving of the driver, and simultaneously turn on the double flashing lamps to warn the surrounding vehicles. And after the driver does not consider warning to force fatigue driving for more than 10 minutes, the information is fed back to the traffic management platform in time.
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Fig. 1 is a schematic structural diagram of a device for warning fatigue driving of a driver of a truck according to the present invention.
Detailed Description
In order to more clearly illustrate the embodiments of the present invention and/or the technical solutions in the prior art, the following description will explain specific embodiments of the present invention with reference to the accompanying drawings. It is obvious that the drawings in the following description are only some examples of the invention, and that for a person skilled in the art, other drawings and embodiments can be derived from them without inventive effort. In addition, the term "orientation" merely indicates a relative positional relationship between the respective members, not an absolute positional relationship.
The invention provides a method for early warning of fatigue driving of a driver of a truck, which comprises the following steps: s1, when the driver is confirmed to enter the driving position and start driving, the initial heart rate of the driver is obtained and compared with a first preset heart rate, wherein the first preset heart rate is 50 times/minute.
Wherein, step S1 specifically includes: s11, determining whether the automobile driving position is occupied or not by matching the ADAS camera in the automobile with the VCU; s12, determining whether the automobile starts to run or not after the driver seat of the automobile is determined to be occupied; s13, after the automobile starts to run, measuring the initial heart rate of the driver by matching a plurality of heart rate detectors arranged on the steering wheel of the automobile; s14, comparing the measurement of the initial heart rate with a first preset heart rate. In step S11, the ADAS in-vehicle camera and the vehicle control system (VCU) may determine the human body contour through a simple image algorithm, and further determine whether a person is present in the driver seat, which is a known technique.
The heart rate is the number of heartbeats per minute of a normal person in a quiet state, also called quiet heart rate, and is generally 60-100 times/minute, so that individual differences can be generated due to age, gender or other physiological factors. Generally, the smaller the age, the faster the heart rate, the slower the elderly than the young, and the faster the heart rate in women than in men of the same age, are normal physiological phenomena. In a resting state, the normal heart rate of an adult is 60-100 times/min, and the ideal heart rate is 55-70 times/min. Normal persons typically only sleep, sinus bradycardia, and metabolic disorders in the body below 45 times/minute, which presents a significant risk of driving a vehicle.
Therefore, when detecting that the initial heart rate is less than the first preset heart rate, then control the car to send out second warning information, first warning information includes light warning information and voice alarm information to remind with changing the driver, and warn that current driver's state is not conform to the driving safety requirement.
S2, when the initial heart rate is determined to be larger than a first preset heart rate, recording the initial heart rate as a first judgment heart rate, and simultaneously acquiring initial face information of a driver, wherein the initial face information comprises three-dimensional face features and facial texture features.
In the embodiment of the present invention, step S2 specifically includes step S21, capturing facial images of the driver from a plurality of angles, respectively; s22, positioning the facial feature points of the driver from the facial image, and determining the three-dimensional position relationship of each feature point to further generate the three-dimensional facial features; and S23, identifying the color and texture of the slide block formed between the adjacent feature points, and further generating the facial texture feature.
And S3, generating a first judgment face model by combining the existing public face three-dimensional model according to the initial face information of the driver, and further generating a first facial expression three-dimensional comparison library by combining the existing fatigue driving expression library.
In an embodiment of the present invention, step S3 specifically includes: s31, inputting the three-dimensional features of the face into a public face three-dimensional model, and preliminarily regulating the public face three-dimensional model to obtain a preliminary three-dimensional model which is approximately consistent with the face of the driver; s32, inputting the facial texture features into the preliminary three-dimensional model, sewing each sliding block with the preliminary three-dimensional model, and further performing smoothing treatment to obtain a first judgment face model; and S33, respectively inputting the facial texture features of the existing fatigue driving expression library into the first judgment facial model, and collecting the obtained new expression models into a first facial expression three-dimensional comparison library.
According to the method, the initial facial information of the driver is combined with the existing public facial three-dimensional model to generate the first judgment facial model, and then the existing fatigue driving expression library is combined to generate the first facial expression three-dimensional comparison library, so that drivers with different facial features can have independent facial expression three-dimensional comparison libraries, and the identification accuracy of the fatigue state of the driver is improved.
S4, when the truck starts to run, recording the real-time heart rate of the driver at preset time intervals, and when the time proportion that the real-time heart rate is lower than 10% of the first preset heart rate in the preset time exceeds 20%, acquiring the real-time facial information of the driver, and inputting the real-time facial information into the first judgment facial model to obtain a second judgment facial model.
The purpose of the secondary judgment is to combine heart rate detection and facial expression detection to comprehensively judge the fatigue state of the driver, so that the detection accuracy can be improved.
And S5, comparing the second determination face model with the first face expression three-dimensional comparison library.
And S6, when the time for the second facial expression model to be matched with the first facial expression three-dimensional comparison library exceeds 20% in the preset time, determining that the driver is tired to drive, and further generating first reminding information.
In steps S4 and S6, the reason why the determination is made by the time ratio is: because the heart rate and facial expression of the driver are dynamic, a large error exists in the simple static random sampling detection. The first reminding information comprises light warning information and voice alarm information and is used for reminding a driver of parking a vehicle to a safe position and restoring the health state by good rest.
In the embodiment of the invention, when the fatigue driving of the driver is determined to exceed 10 minutes, the driver can be considered as having malicious time and refusing to rest. At this time, reminding information can be sent to the traffic management platform, wherein the reminding information comprises truck position information and driver initial face information, and then pressure can be applied to a driver. Meanwhile, the vehicle can be conveniently managed on site by nearby traffic managers.
In order to implement the method provided by the present invention, a warning device for fatigue driving of a driver of a truck is also provided in this embodiment. The device includes:
a plurality of rhythm of heart detecting element, rhythm of heart detecting element evenly distributed is in the steering wheel outside, and then accessible driver hand measures initial rhythm of the heart and real-time rhythm of the heart.
An image acquisition unit including a plurality of ADAS (advanced drive assist system) in-vehicle cameras for acquiring initial facial information of a driver, real-time facial information. But the high definition digtal camera of night shooting is selected to camera in the car in this embodiment to can satisfy the acquirement of face image at night.
And the model generating unit can generate a first judgment face model by combining the existing public face three-dimensional model according to the initial face information of the driver and can also generate a first facial expression three-dimensional comparison library by combining the existing fatigue driving expression library.
The first information processing unit is used for judging and processing the numerical value of the initial heart rate and the first preset heart rate of the driver and judging and processing the numerical value of the real-time heart rate and the first judgment heart rate; the second information processing unit is used for judging whether the time for the second judgment face model to be in accordance with the first face expression three-dimensional comparison library exceeds 20% within the preset time, and further sending a starting signal to the alarm unit when the time is in accordance with the conditions; the alarm unit is used for generating first reminding information and second reminding information and comprises a buzzer alarm and an LED alarm indicator lamp, and therefore a driver who is tired in driving can be reminded through ring and indicating light. In this embodiment, the first information processing unit and the second information processing unit are both electrically connected to a VCU of an automobile, so that information interaction with the VCU of the automobile can be completed.
The device in the embodiment also comprises a remote communication unit which can send reminding information to the traffic management platform, wherein the reminding information comprises initial face information of a driver and truck position information provided by an automobile GPS system.
The foregoing is a more detailed description of the invention in connection with specific preferred embodiments and it is not intended that the invention be limited to these specific details. For those skilled in the art to which the invention pertains, several simple deductions or substitutions can be made without departing from the spirit of the invention, and all shall be considered as belonging to the protection scope of the invention.
Claims (10)
1. A driver fatigue driving early warning method for a truck is characterized by comprising the following steps: s1, when the driver is confirmed to enter the driving position and starts to drive, obtaining the initial heart rate of the driver, and comparing the initial heart rate with a first preset heart rate, wherein the first preset heart rate is 45 times/minute; s2, when the initial heart rate is determined to be larger than a first preset heart rate, recording the initial heart rate as a first judgment heart rate, and simultaneously acquiring initial facial information of a driver, wherein the initial facial information comprises facial three-dimensional features and facial texture features; s3, generating a first judgment face model by combining the existing public face three-dimensional model according to the initial face information of the driver, and further generating a first facial expression three-dimensional comparison library by combining the existing fatigue driving expression library; s4, when the truck starts to run, recording the real-time heart rate of the driver at preset time intervals, and when the time proportion that the real-time heart rate is lower than 10% of the first preset heart rate in the preset time exceeds 20%, acquiring the real-time facial information of the driver, and inputting the real-time facial information into the first judgment facial model to obtain a second judgment facial model; s5, comparing the second determination face model with the first face expression three-dimensional comparison library; and S6, when the time for the second facial expression model to be matched with the first facial expression three-dimensional comparison library exceeds 20% in the preset time, determining that the driver is tired to drive, and further generating first reminding information.
2. The driver fatigue driving warning method for the truck as claimed in claim 1, wherein the step S1 specifically comprises: s11, determining whether the automobile driving position is occupied or not by matching the ADAS camera in the automobile with the VCU; s12, determining whether the automobile starts to run or not after the driver seat of the automobile is determined to be occupied; s13, after the automobile starts to run, measuring the initial heart rate of the driver by matching a plurality of heart rate detectors arranged on the steering wheel of the automobile; s14, comparing the measurement of the initial heart rate with a first preset heart rate.
3. The driver fatigue driving warning method for the truck as claimed in claim 1, wherein the step S2 of "obtaining the driver initial facial information" is specifically: s21, respectively shooting face images of the driver from multiple angles; s22, positioning the facial feature points of the driver from the facial image, and determining the three-dimensional position relationship of each feature point to further generate the three-dimensional facial features; and S23, identifying the color and texture of the slide block formed between the adjacent feature points, and further generating the facial texture feature.
4. A driver fatigue driving warning method for a truck as claimed in claim 1, wherein: in step S2, when it is determined that the initial heart rate is smaller than the first preset heart rate, a second reminding message is sent, where the first reminding message and the second reminding message both include a light warning message and a voice alarm message.
5. The driver fatigue driving warning method for the truck as claimed in claim 1, wherein the step S3 specifically comprises: s31, inputting the three-dimensional features of the face into a public face three-dimensional model, and preliminarily regulating the public face three-dimensional model to obtain a preliminary three-dimensional model which is approximately consistent with the face of the driver; s32, inputting the facial texture features into the preliminary three-dimensional model, sewing each sliding block with the preliminary three-dimensional model, and further performing smoothing treatment to obtain a first judgment face model; and S33, respectively inputting the facial texture features of the existing fatigue driving expression library into the first judgment facial model, and collecting the obtained new expression models into a first facial expression three-dimensional comparison library.
6. A driver fatigue driving warning method for a truck as claimed in claim 1, wherein the car automatically turns on a double flashing light to warn surrounding vehicles when it is determined that the driver is fatigue driving.
7. The driver fatigue driving warning method for the truck as claimed in claim 1, wherein when it is determined that the driver is fatigue driving for more than 10 minutes, a reminding message is sent to the traffic management platform, wherein the reminding message comprises truck position information and driver initial face information.
8. A warning device for fatigue driving of a driver of a truck, characterized by comprising: the heart rate detection units are uniformly distributed on the outer side of the steering wheel, so that the initial heart rate and the real-time heart rate can be measured by the hands of a driver; the system comprises an image acquisition unit, a display unit and a display unit, wherein the image acquisition unit comprises a plurality of ADAS in-vehicle cameras for acquiring initial facial information and real-time facial information of a driver; the model generation unit can generate a first judgment face model by combining the existing public face three-dimensional model according to the initial face information of the driver and can also generate a first facial expression three-dimensional comparison library by combining the existing fatigue driving expression library; the first information processing unit is used for judging and processing the numerical value of the initial heart rate and the first preset heart rate of the driver and judging and processing the numerical value of the real-time heart rate and the first judgment heart rate; the second information processing unit is used for judging whether the time for the second judgment face model to be in accordance with the first face expression three-dimensional comparison library exceeds 20% within the preset time, and further sending a starting signal to the alarm unit when the time is in accordance with the conditions; the alarm unit is used for generating first reminding information and second reminding information; the first information processing unit and the second information processing unit are electrically connected with a VCU of the automobile.
9. A warning device for fatigue driving of a driver of a truck as claimed in claim 8, wherein: the system also comprises a remote communication unit which can send reminding information to the traffic management platform, wherein the reminding information comprises initial face information of a driver and truck position information provided by an automobile GPS system.
10. A warning device for fatigue driving of a driver of a truck as claimed in claim 8, wherein: the alarm unit comprises a buzzer alarm and an LED alarm indicator lamp.
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| CN112419671A (en) * | 2020-09-17 | 2021-02-26 | 阜阳师范大学 | Method for preventing fatigue driving during safe driving of automobile |
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| CN112419671A (en) * | 2020-09-17 | 2021-02-26 | 阜阳师范大学 | Method for preventing fatigue driving during safe driving of automobile |
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