CN112373478A - Fatigue driving early warning method and device - Google Patents
Fatigue driving early warning method and device Download PDFInfo
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
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- B60W40/00—Estimation 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
- B60W40/08—Estimation 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
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R1/00—Optical viewing arrangements; Real-time viewing arrangements for drivers or passengers using optical image capturing systems, e.g. cameras or video systems specially adapted for use in or on vehicles
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT 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
- B60W40/00—Estimation 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
- B60W40/02—Estimation 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 ambient conditions
- B60W40/06—Road conditions
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT 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
- B60W50/00—Details 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
- B60W50/08—Interaction between the driver and the control system
- B60W50/14—Means for informing the driver, warning the driver or prompting a driver intervention
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT 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
- B60W50/00—Details 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
- B60W50/08—Interaction between the driver and the control system
- B60W50/14—Means for informing the driver, warning the driver or prompting a driver intervention
- B60W50/16—Tactile feedback to the driver, e.g. vibration or force feedback to the driver on the steering wheel or the accelerator pedal
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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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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- H04N7/181—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT 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
- B60W40/00—Estimation 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
- B60W40/08—Estimation 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
- B60W2040/0818—Inactivity or incapacity of driver
- B60W2040/0827—Inactivity or incapacity of driver due to sleepiness
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT 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
- B60W50/00—Details 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
- B60W50/08—Interaction between the driver and the control system
- B60W50/14—Means for informing the driver, warning the driver or prompting a driver intervention
- B60W2050/143—Alarm means
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Abstract
The invention discloses a fatigue driving early warning method and a device, wherein the method comprises the following steps: acquiring driver information, and judging a current driver driving a vehicle according to the driver information; acquiring the continuous driving time of the current driver, and generating an overtime early warning signal if the continuous driving time is greater than a preset value; and monitoring the facial features of the current driver in the continuous driving time and the deviation distance of the vehicle relative to the lane line in real time, and judging the fatigue state of the current driver according to the facial features and the deviation distance of the vehicle relative to the lane line. The method can acquire the driver information, judge whether the driver actively replaces the driver according to the driver information, and avoid the occurrence of statistical errors, thereby avoiding the occurrence of false alarm; in addition, the fatigue state of the current driver is judged according to the facial features monitored in real time within the continuous driving time and the deviation distance of the vehicle relative to the lane line, and compared with the prior art, the fatigue driving prediction accuracy can be improved.
Description
Technical Field
The invention relates to the technical field of vehicle monitoring, in particular to a fatigue driving early warning method and device.
Background
With the increasing number of vehicles, driving accidents are increased year by year, and fatigue driving is an important factor for causing road safety accidents. How to detect the fatigue condition of the driver quickly and accurately gives a prompt, and when the driver is in a serious condition, the vehicle speed is reduced by adopting a mandatory measure, so that the method has great significance for reducing accidents caused by fatigue driving.
Most of the existing fatigue driving detection records the continuous driving time of a vehicle, if the continuous driving time exceeds a set value, an alarm signal is sent out to prompt a driver to have a rest, and in the driving process of the driver, the method for combining the facial features of the driver with machine learning is used for making a prejudgment on whether the driver is fatigue driving. However, the method ignores the situation that the vehicle is actively replaced by the driver in the continuous driving time and has the possibility of false alarm, and only judges according to the human face characteristics and has the problem of low accuracy.
Disclosure of Invention
The present invention is directed to solving at least one of the problems of the prior art. Therefore, the invention provides a fatigue driving early warning method and a device, which comprise the following steps:
in a first aspect of the present invention, a fatigue driving early warning method is provided, which includes the following steps:
acquiring driver information, and judging a current driver driving a vehicle according to the driver information;
acquiring the continuous driving time of the current driver, and if the continuous driving time is greater than a preset value, generating an overtime early warning signal for warning the current driver to stop for rest;
and monitoring the facial features of the current driver in the continuous driving time and the deviation distance of the vehicle relative to the lane line in real time, and judging the fatigue state of the current driver according to the facial features and the deviation distance of the vehicle relative to the lane line.
According to the embodiment of the invention, at least the following beneficial effects are achieved:
the method can acquire the driver information, judges whether the active replacement of the driver exists according to the driver information, and does not generate statistical errors, thereby avoiding false alarm; and the method also judges the fatigue state of the current driver according to the facial features monitored in real time within the continuous driving time and the deviation distance of the vehicle relative to the lane line, and compared with the prior art, the method can improve the accuracy of fatigue driving prediction.
According to some embodiments of the invention, further comprising the step of: the method comprises the steps of collecting the position speed of a vehicle when the vehicle is stopped at regular time, and if the vehicle is in a flameout state and more than 5 continuous position speeds are equal to 0, judging that the current driver enters a rest state and accumulating the rest time, wherein the collection interval time of the position speed of the vehicle is not more than 5 seconds.
According to some embodiments of the invention, further comprising the step of: and if the continuous position speeds are below 10Km/h within the last 10 minutes when the continuous 10 position speeds are all equal to 0 and the continuous 10 position speeds are all equal to 0 after the continuous position speeds are 10Km/h, judging that the vehicle is temporarily moved without interrupting the accumulated rest time.
According to some embodiments of the present invention, the monitoring facial features of the current driver and a deviation distance of the vehicle from a lane line in the continuous driving time in real time, and determining the fatigue state of the current driver according to the facial features and the deviation distance of the vehicle from the lane line comprises:
collecting facial features of the current driver in the continuous driving time, and pre-judging whether the current driver is in a fatigue state or a normal state through a fatigue detection algorithm;
collecting the transverse offset distance between the vehicle offset direction and a lane line;
if the current driver is in the fatigue state, generating a fatigue early warning signal for warning the current driver to stop for rest;
and if the current driver is in the normal state, judging whether the vehicle has transverse deviation, and if the vehicle has transverse deviation and the time for continuously transverse deviation exceeds a preset value or the distance for continuously transverse deviation exceeds a preset value, generating a fatigue early warning signal for warning the current driver to stop for rest.
According to some embodiments of the present invention, if the timeout warning signal or the fatigue warning signal is generated, an audible and visual warning or a seat vibration warning is performed on the current driver.
According to some embodiments of the invention, the overtime warning signal or the fatigue warning signal is transmitted to a monitoring platform while the overtime warning signal or the fatigue warning signal is generated.
In a second aspect of the present invention, there is provided a fatigue driving warning apparatus, including:
the identity acquisition module is used for acquiring driver information and judging the current driver driving the vehicle according to the driver information;
the early warning module is connected with the identity acquisition module and used for acquiring the continuous driving time of the current driver, and if the continuous driving time is greater than a preset value, an overtime early warning signal is generated;
and the fatigue monitoring module is connected with the early warning module and used for monitoring the facial features of the current driver in the continuous driving time and the deviation distance of the vehicle relative to the lane line in real time and judging the fatigue state of the current driver according to the facial features and the deviation distance of the vehicle relative to the lane line.
According to the embodiment of the invention, at least the following beneficial effects are achieved:
the device can acquire the driver information, judge whether the driver actively replaces the driver according to the driver information, and avoid the occurrence of error counting, thereby avoiding the occurrence of error report; and the device also judges the fatigue state of the current driver according to the facial state information and the vehicle deviation information which are monitored in real time within the continuous driving time length, and compared with the prior art, the device can improve the accuracy of fatigue driving prediction.
According to some embodiments of the present invention, the identity acquisition module is a card reader, and the card reader identifies a corresponding driver card, so as to acquire the driver information, where the driver card is provided with the corresponding driver information.
According to some embodiments of the invention, the fatigue monitoring module comprises a feature recognition camera and a road condition camera.
According to some embodiments of the present invention, the road condition cameras include a front view road condition camera installed at the vehicle head, a left view road condition camera installed on the left side rearview mirror, and a right view road condition camera installed on the right side rearview mirror.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
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The above and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
fig. 1 is a schematic flow chart of a fatigue driving warning method according to an embodiment of the present invention;
fig. 2 is a schematic flow chart of a method for warning fatigue driving according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a fatigue driving warning device according to an embodiment of the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention.
In the description of the present invention, it is to be noted that the terms "disposed" and "connected" are to be construed broadly and their meanings in the present invention may be specifically understood by those skilled in the art, unless otherwise explicitly defined or limited.
The existing fatigue driving detection mostly records the continuous driving time of a vehicle, if the continuous driving time exceeds a set value, an alarm signal is sent out to prompt a driver to have a rest, and in the driving process of the driver, the method for combining the human face characteristics of the driver with machine learning is used for making a prejudgment on whether the driver is fatigue driving. However, the method ignores the situation that the vehicle is actively replaced by the driver in the continuous driving time and has the possibility of false alarm, and only judges according to the human face characteristics and has the problem of low accuracy.
Referring to fig. 1 and 2, there is provided a fatigue driving early warning method, including the steps of:
s100, obtaining driver information, and judging a current driver driving a vehicle according to the driver information;
s200, obtaining the continuous driving time of the current driver, and if the continuous driving time is greater than a preset value, generating an overtime early warning signal for warning the current driver to stop for rest;
after the overtime early warning signal is generated, the current continuous driving time of the driver can be warned to exceed the set value of the anti-fatigue standard, wherein the set value of the anti-fatigue standard can be set to be 4 hours which is commonly used in the industry. The driver's rest time is set herein to 20 minutes, which is common in the industry.
S300, monitoring the facial features of the current driver in continuous driving time and the deviation distance of the vehicle relative to the lane line in real time, and judging the fatigue state of the current driver according to the facial features and the deviation distance of the vehicle relative to the lane line.
If the continuous driving time of the current driver does not exceed 4 hours, it does not mean that the current driver does not have the fatigue driving situation, so that the current driver needs to be monitored in real time within the continuous driving time of the current driver, so as to further judge whether the current driver has the fatigue driving within the continuous driving time, and avoid traffic accidents.
The method can acquire the driver information, judges whether the active replacement of the driver exists according to the driver information, and does not generate statistical errors, thereby avoiding false alarm; and the method also judges the fatigue state of the current driver according to the facial features monitored in real time within the continuous driving time and the deviation distance of the vehicle relative to the lane line, and compared with the prior art, the method can improve the accuracy of fatigue driving prediction.
As an optional implementation, the method further comprises the following steps:
the method comprises the steps of collecting the position speed of a vehicle when the vehicle is stopped at regular time, judging that a current driver enters a rest state and accumulating the rest time if the vehicle is in a flameout state and more than 5 continuous position speeds are equal to 0, wherein the collection interval time of the position speed of the vehicle is not more than 5 seconds. Through the steps, whether the current driver stops for rest or not can be accurately judged, the rest time length is accumulated, and if the rest time length reaches 20 minutes, the current driver can drive again. It should be noted that the position and velocity are measured by a satellite system, which may be a GPS system or a beidou system, and will not be described in detail herein.
As an optional implementation manner, when the current driver enters the rest state, 1 or 2 position speeds are suddenly greater than 0, and then the position speeds are restored to 0 again, it is determined that the two middle position speeds are caused by satellite offset, and it is not determined that the vehicle is running, and the rest time length of the vehicle continues to be accumulated. This design can avoid the occurrence of misjudgment.
As an optional implementation, the method further comprises the following steps:
and if the continuous position speeds are below 10Km/h within the last 10 minutes when the continuous 10 position speeds are all equal to 0 and the continuous 10 or more position speeds are all equal to 0 after the continuous position speeds are 10Km/h, judging that the vehicle is temporarily moved without interrupting the accumulated rest time. By the steps, the current driver can be judged to move in the rest area, so that the accumulated rest time is not interrupted, and the misjudgment is avoided.
As an optional implementation manner, step S300 includes:
s301, collecting facial features of a current driver in continuous driving time, and pre-judging whether the current driver is in a fatigue state or a normal state through a fatigue detection algorithm;
it should be noted that, since the fatigue detection algorithm for judging whether the current driver is in the fatigue state or the normal state according to the facial features including the eye features is relatively mature, it is not described herein again.
S302, collecting the transverse offset distance between the offset direction of the vehicle and the lane line;
s303, if the current driver is in a fatigue state, generating a fatigue early warning signal for warning the current driver to stop for rest;
because the current detection algorithm does not accurately predict the state of the current driver, and does not determine that the current driver is actually in fatigue driving if the current driver is predicted to be in the fatigue state, a fatigue early warning signal needs to be generated to avoid traffic accidents when the current driver is predicted to be in the fatigue driving.
S304, if the current driver is in a normal state, judging whether the vehicle has transverse deviation, and if the vehicle has transverse deviation and the time for continuously transverse deviation exceeds a preset value or the distance for continuously transverse deviation exceeds a preset value, generating a fatigue early warning signal for warning the current driver to stop for rest.
If the current driver is in a normal state, it cannot be determined that the current driver is actually in normal driving, and at this time, the method further improves the accuracy of the pre-determination by judging whether the vehicle has a lateral deviation, specifically: if the vehicle has lateral deviation and the time for continuing the lateral deviation exceeds a preset value or the distance for continuing the lateral deviation exceeds a preset value, the possibility that the driver is fatigued at present is proved to be high. Since the reaction to the vehicle shifting is slower than in normal driving when the driver is driving fatigue, the accuracy of the prediction can be improved by the method.
As an alternative embodiment, if the overtime warning signal or the fatigue warning signal is generated, an audible and visual warning or a seat vibration warning is performed for the current driver.
As an alternative embodiment, the overtime warning signal or the fatigue warning signal is sent to the monitoring platform at the same time when the overtime warning signal or the fatigue warning signal is generated. This design is convenient for monitor current driver's action, reduces the unexpected risk of traffic, and moreover, the control platform can carry out the record to current driver's driving action to evaluate the driver.
Referring to fig. 3, an embodiment of the present invention provides a fatigue driving warning apparatus, including: the system comprises an identity acquisition module, an early warning module and a fatigue monitoring module, wherein the identity acquisition module, the early warning module and the fatigue monitoring module can be controlled and processed by an FPGA chip, an ARM chip or a single chip microcomputer, and the FPGA chip is preferably selected in the implementation.
The identity acquisition module is used for acquiring driver information and judging the current driver driving the vehicle according to the driver information;
as an optional implementation manner, the identity acquisition module is a card reader, when the driver inserts his driver's card into the card reader before driving, the card reader reads the identity information of the driver, so as to identify the corresponding driver, and after the driver card is inserted into the card reader, the continuous driving time starts to be accumulated. Of course, the identity acquisition module may also be a portrait recognition camera, and then perform portrait recognition on the driver through the portrait recognition camera, so as to determine the current driver driving the vehicle.
The early warning module is connected with the identity acquisition module and used for acquiring the continuous driving time of the current driver, and if the continuous driving time is greater than a preset value, an overtime early warning signal is generated;
the early warning module acquires the continuous driving time of the current driver from the card reader, monitors the continuous driving time, and generates an overtime early warning signal if the continuous driving time exceeds 4 hours.
The fatigue monitoring module is connected with the early warning module and used for monitoring the facial features of the current driver in continuous driving time and the deviation distance of the vehicle relative to the lane line in real time and judging the fatigue state of the current driver according to the facial features and the deviation distance of the vehicle relative to the lane line.
As an optional implementation manner, the fatigue monitoring module includes a feature recognition camera and a road condition camera. The feature recognition camera is used for shooting the facial features of the current driver, the road condition camera is used for shooting road conditions, data processing is carried out by the FPGA chip, and the data processing is not repeated here.
Wherein, the facial feature of current driver in continuous driving time and the vehicle are for the departure distance of lane line in real time monitoring, judge current driver's fatigue state according to facial feature and the vehicle is for the departure distance of lane line, include:
the method comprises the steps of collecting facial features of a current driver in continuous driving time, and pre-judging whether the current driver is in a fatigue state or a normal state through a fatigue detection algorithm; collecting the transverse offset distance between the vehicle offset direction and a lane line;
if the current driver is in a fatigue state, generating a fatigue early warning signal for warning the current driver to stop for rest; if the current driver is in a normal state, judging whether the vehicle has transverse deviation, if the vehicle has transverse deviation, and if the time for continuously transverse deviation exceeds a preset value or the distance for continuously transverse deviation exceeds a preset value, generating a fatigue early warning signal for warning the current driver to stop for rest.
As an optional implementation, the road condition camera includes a front view road condition camera installed on the vehicle head, a left view road condition camera installed on the left side rearview mirror, and a right view road condition camera installed on the right side rearview mirror.
As an optional implementation manner, the fatigue driving warning device further includes a first wireless communication module that establishes a communication connection with a satellite device, where the satellite device includes a GPS device or a beidou device, and is used for acquiring a position and a speed of the vehicle when the vehicle is parked, which is not described in detail herein.
As an optional implementation manner, the fatigue driving early warning device further comprises a second wireless communication module which is in communication connection with the monitoring platform, and data transmission between the second wireless communication module and the monitoring platform is achieved.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an illustrative embodiment," "an example," "a specific example," or "some examples" or the like mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
While embodiments of the invention have been shown and described, it will be understood by those of ordinary skill in the art that: various changes, modifications, substitutions and alterations can be made to the embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.
Claims (10)
1. A fatigue driving early warning method is characterized by comprising the following steps:
acquiring driver information, and judging a current driver driving a vehicle according to the driver information;
acquiring the continuous driving time of the current driver, and if the continuous driving time is greater than a preset value, generating an overtime early warning signal for warning the current driver to stop for rest;
and monitoring the facial features of the current driver in the continuous driving time and the deviation distance of the vehicle relative to the lane line in real time, and judging the fatigue state of the current driver according to the facial features and the deviation distance of the vehicle relative to the lane line.
2. The fatigue driving warning method according to claim 1, further comprising the steps of: the method comprises the steps of collecting the position speed of a vehicle when the vehicle is stopped at regular time, and if the vehicle is in a flameout state and more than 5 continuous position speeds are equal to 0, judging that the current driver enters a rest state and accumulating the rest time, wherein the collection interval time of the position speed of the vehicle is not more than 5 seconds.
3. The fatigue driving warning method according to claim 2, further comprising the steps of: and if the continuous position speeds are below 10Km/h within the last 10 minutes when the continuous 10 position speeds are all equal to 0 and the continuous 10 position speeds are all equal to 0 after the continuous position speeds are 10Km/h, judging that the vehicle is temporarily moved without interrupting the accumulated rest time.
4. The fatigue driving early warning method according to claim 3, wherein the real-time monitoring of the facial features of the current driver and the deviation distance of the vehicle relative to the lane line in the continuous driving time, and the judgment of the fatigue state of the current driver according to the facial features and the deviation distance of the vehicle relative to the lane line comprise:
collecting facial features of the current driver in the continuous driving time, and pre-judging whether the current driver is in a fatigue state or a normal state through a fatigue detection algorithm;
collecting the transverse offset distance between the vehicle offset direction and a lane line;
if the current driver is in the fatigue state, generating a fatigue early warning signal for warning the current driver to stop for rest;
and if the current driver is in the normal state, judging whether the vehicle has transverse deviation, and if the vehicle has transverse deviation and the time for continuously transverse deviation exceeds a preset value or the distance for continuously transverse deviation exceeds a preset value, generating a fatigue early warning signal for warning the current driver to stop for rest.
5. The fatigue driving warning method according to claim 4, wherein if the overtime warning signal or the fatigue warning signal is generated, an audible and visual warning or a seat vibration warning is performed for the current driver.
6. The fatigue driving warning method according to claim 5, wherein the overtime warning signal or the fatigue warning signal is generated and sent to a monitoring platform.
7. A fatigue driving warning device, comprising:
the identity acquisition module is used for acquiring driver information and judging the current driver driving the vehicle according to the driver information;
the early warning module is connected with the identity acquisition module and used for acquiring the continuous driving time of the current driver, and if the continuous driving time is greater than a preset value, an overtime early warning signal is generated;
and the fatigue monitoring module is connected with the early warning module and used for monitoring the facial features of the current driver in the continuous driving time and the deviation distance of the vehicle relative to the lane line in real time and judging the fatigue state of the current driver according to the facial features and the deviation distance of the vehicle relative to the lane line.
8. The fatigue driving early warning device according to claim 7, wherein the identity acquisition module is a card reader, the card reader identifies a corresponding driver card to acquire the driver information, and the driver card is provided with the corresponding driver information.
9. The fatigue driving warning device according to claim 8, wherein the fatigue monitoring module comprises a feature recognition camera and a road condition camera.
10. The fatigue driving early warning device according to claim 9, wherein the road condition cameras comprise a front view road condition camera mounted on the vehicle head, a left view road condition camera mounted on the left side rear view mirror, and a right view road condition camera mounted on the right side rear view mirror.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113071512A (en) * | 2021-04-25 | 2021-07-06 | 东风柳州汽车有限公司 | Safe driving reminding method, device, equipment and storage medium |
| CN113386776A (en) * | 2021-06-21 | 2021-09-14 | 杭州鸿泉物联网技术股份有限公司 | Cargo vehicle fatigue driving active intervention method, system, electronic device and 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 |
| CN113643512A (en) * | 2021-07-28 | 2021-11-12 | 北京中交兴路信息科技有限公司 | Fatigue driving detection method and device, electronic equipment and storage medium |
| CN113888840A (en) * | 2021-09-26 | 2022-01-04 | 中原大易科技有限公司 | Method and device for monitoring transportation behavior of network freight driver and electronic equipment |
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