CN114299690A - Fatigue driving detection method, device, electronic device and storage medium - Google Patents
Fatigue driving detection method, device, electronic device and storage medium Download PDFInfo
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Abstract
The application provides a fatigue driving detection method, a fatigue driving detection device, electronic equipment and a storage medium, which relate to the field of automobile driving, and the method comprises the following steps: acquiring the driving condition of a vehicle; and determining the state of the driver based on the driving condition so as to detect whether the driver is in fatigue driving or not when the DMS device cannot correctly acquire the physiological parameters of the driver.
Description
Technical Field
The present disclosure relates to the field of automobile driving, and in particular, to a fatigue driving detection method, a fatigue driving detection apparatus, an electronic device, and a computer-readable storage medium.
Background
In recent years, with the rapid development of the logistics industry, the traffic flow and the freight transportation volume on the expressway are increased, some drivers have weak traffic safety awareness and are influenced by factors such as economic benefit driving, and the like, the drivers often drive for a plurality of hours continuously to cause fatigue driving, so that traffic accidents are easy to happen.
In the prior art, a physiological parameter of a Driver is mostly detected by a DMS (Driver Monitor System) device to determine a fatigue degree of the Driver, and then an alarm signal is sent. However, in the actual driving process, the DMS device may not correctly acquire the physiological parameters of the driver due to some reasons such as being blocked or having a fault, so that it is impossible to detect whether the driver is in fatigue driving.
Disclosure of Invention
In view of this, an object of the embodiments of the present application is to provide a method for detecting fatigue driving, which is used to detect whether a driver is in fatigue driving when a DMS device cannot correctly acquire physiological parameters of the driver.
In a first aspect, the present application provides a method of detecting fatigue driving, the method comprising: acquiring the driving condition of a vehicle; based on the driving situation, the state of the driver is determined.
In the embodiment of the application, by acquiring the running condition of the vehicle, since the running condition of the vehicle can usually reflect the fatigue driving condition of the driver laterally, whether the driver is fatigue driving can be determined according to the running condition of the vehicle, so as to obtain the state of the driver.
In one embodiment, the driving condition comprises a driving event, and the determining the state of the driver based on the driving condition comprises: and when the driving event is determined not to belong to the preset event, determining that the driver is in a non-fatigue driving state.
In the embodiment of the present application, the driving condition includes a driving event of the vehicle on the road, and it is possible to determine whether the driver is in a fatigue driving state to some extent by determining whether the driving event of the vehicle belongs to a preset event.
In one embodiment, the driving condition further includes a current driving time, and the determining the state of the driver based on the driving condition includes: and when the driving event is determined to belong to a preset event and the current driving time is not in a preset time period, determining that the driver is in a non-fatigue driving state.
In the embodiment of the application, the driving condition comprises the driving time of the current vehicle, and it can be understood that the driver has different driving states in different driving time periods, and when the driving event is determined to belong to the preset event, whether the driving time of the current vehicle belongs to the preset time period is further determined, so that the driving state of the driver can be prevented from being judged incorrectly to a certain extent, and the accuracy of the determined driving state of the driver is improved.
In one embodiment, the driving condition further includes: a driving scenario, said determining a driver's state based on said driving state, comprising: and when the driving event is determined to belong to a preset event, the current driving time is in a preset time period and the driving scene does not belong to a preset scene, determining that the driver is in a non-fatigue driving state.
In the embodiment of the application, the driving condition comprises the driving scene of the current vehicle, and when the driving event is determined to belong to the preset event and the current driving time is determined to be in the preset time period, whether the driving scene belongs to the preset scene is further determined, so that whether a driver is in a fatigue driving state is determined, the driver can be prevented from being determined as the fatigue driving state by mistake, and the accuracy of determining the fatigue driving of the driver is improved.
In one embodiment, the preset scene includes an expressway and an urban expressway.
In the embodiment of the application, the preset scenes are set as the expressway and the urban expressway, so that the accuracy of judging the current state of the driver can be improved to a certain extent. It can be understood that when the vehicle runs on the expressway and the urban expressway, the speed is generally higher and is not crowded like the roads in the urban area, and the scene that the driver is fatigued to drive is frequent.
In one embodiment, the determining the driving state of the driver based on the driving condition includes: when the driving event is determined to belong to a preset event, the current driving time is in a preset time period and the driving scene belongs to a preset scene, acquiring the number of times of a first event that the driving event occurs in a first preset duration of the vehicle up to the current moment and belongs to the preset event; and when the first event number is greater than or equal to a first preset threshold value, determining that the driver is in a first fatigue state.
In the embodiment of the application, when it is determined that the driving event belongs to the preset event, the current driving time is in the preset time period, and the driving scene belongs to the preset scene, the number of times of the first event that the driving event occurred in the first preset duration of the vehicle to the current time belongs to the preset event is obtained, and the state of the driver is determined according to the number of times of the first event, so that the situation that the state of the driver is determined as the fatigue driving state by mistake due to the accidental preset event in the driving process can be avoided, and the reliability of the determined state of the driver is improved.
In one embodiment, the determining the driving state of the driver based on the driving condition includes: when the driving event is determined to belong to a preset event, the current driving time is in a preset time period, the driving scene belongs to a preset scene, and the number of times of the first event is smaller than a first preset threshold value, acquiring the number of times of a second event that the driving event of the vehicle belongs to the preset event within a second preset time period from the current moment; when the second event frequency is greater than or equal to a second preset threshold value, determining that the driver is in a second fatigue state; and when the second event frequency is smaller than a second preset threshold value, determining that the driver is in a non-fatigue driving state.
In the embodiment of the application, when it is determined that the driving event belongs to a preset event, the current driving time is in a preset time period, the driving scene belongs to a preset scene, and the number of times of the first event is smaller than a first preset threshold, the number of times of a second event that the driving event occurs in a second preset time period from the current time of the vehicle belongs to the preset event is obtained, and whether the driver is in the fatigue driving state is determined according to the number of times of the second event, so that the condition of the driver is prevented from being determined as the fatigue driving state by mistake due to the accidental preset event in the driving process, and the reliability of the determined condition of the driver is improved.
In one embodiment, before the obtaining the driving condition of the vehicle, the method further includes: and determining that the data of the DMS device is not received beyond a third preset time.
In the embodiment of the application, by setting the third preset time, when the third preset time is exceeded and the data of the DMS device is not received, the state of the driver is determined by acquiring the driving condition of the vehicle, so that the safety of the driver driving the vehicle is improved to a certain extent.
In one embodiment, after determining the state of the driver based on the driving situation, the method further comprises: and generating prompt information and reporting the state of the DMS equipment based on the state of the driver.
In the embodiment of the application, the driver is intervened and the state of the DMS device is reported by acquiring the state of the driver, so that the safety of the driver in driving the vehicle is improved.
In a second aspect, the present application provides a fatigue driving detecting device, comprising: the acquisition module is used for acquiring the driving condition of the vehicle; and the determining module is used for determining the state of the driver based on the driving condition.
In a third aspect, an embodiment of the present application provides an electronic device, including a memory and a processor, where the memory stores computer-readable instructions, and the computer-readable instructions, when executed by the processor, cause the processor to execute the fatigue driving detection method or implement the functions of the fatigue driving detection apparatus.
In a fourth aspect, embodiments of the present application provide a non-transitory readable storage medium storing computer readable instructions, which when executed by a processor, cause the processor to execute the above-mentioned fatigue driving detection method or implement the functions of the above-mentioned fatigue driving detection apparatus.
The details of one or more embodiments of the application are set forth in the accompanying drawings and the description below. Other features, objects, and advantages of the application will be apparent from the description and drawings, and from the claims.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and that those skilled in the art can also obtain other related drawings based on the drawings without inventive efforts.
Fig. 1 is a flowchart of a fatigue driving detection method according to an embodiment of the present application;
fig. 2 is a block diagram of a fatigue driving detection apparatus according to an embodiment of the present application;
fig. 3 is a block diagram of an electronic device according to an embodiment of the present application.
Icon: fatigue driving detection device 100; an acquisition module 10; a module 20 is determined.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
Referring to fig. 1, fig. 1 is a flowchart of a fatigue driving detection method according to an embodiment of the present application, and the method is applied to a terminal device in communication connection with an automobile.
The fatigue driving detection method may include the following steps.
Step S11, acquiring the driving condition of the vehicle;
in one embodiment, the Driving condition of the vehicle may be acquired by an ADAS device (Advanced Driving Assistance System) installed on the vehicle body, and the Driving condition of the vehicle may be transmitted to the terminal device.
In particular, the ADAS device may utilize a plurality of sensors mounted on the vehicle, such as: the system comprises a millimeter wave radar, a laser radar, a single/double-eye camera, a satellite navigation and the like, wherein the surrounding environment is sensed at any time in the driving process of the automobile, the technical processing such as identification, detection and tracking of static and dynamic objects is carried out, and data of the driving of the automobile is collected to be fed back to terminal equipment.
In step S12, the state of the driver is determined based on the driving situation.
After the vehicle running condition is obtained, the state when the driver drives the vehicle is determined.
It is understood that in the prior art, the physiological state of the Driver is usually detected by a DMS (Driver Monitor System) device to determine whether the Driver is in a fatigue driving state. By obtaining the driving condition of the vehicle, the driving condition of the vehicle can reflect the fatigue driving condition of the driver in a side view, so whether the driver is fatigue driven or not can be judged according to the driving condition of the vehicle, and the state of the driver can be obtained.
In one embodiment, the driving condition may include a driving event, and determining the state of the driver based on the driving condition includes: and when the driving event is determined not to belong to the preset event, determining that the driver is in a non-fatigue driving state.
Further, the determination condition of the preset event may be set manually, or may be determined by collecting, from the network, information on the traveling of some vehicles in a specific state (for example, speeding, collision, etc.), and using the information as the determination condition of the preset event.
It will be appreciated that the predetermined events include, but are not limited to, high risk driving events such as speeding, vehicle collisions, lane departure, too close a distance, frequent lane changes, blind zone collisions, and sharp turns.
It should be noted that the preset events exemplified above are only for exemplary purposes and do not limit the present application.
It is understood that the driving situation includes a driving event of the vehicle on the road, and it is possible to determine whether the driver is in a fatigue driving state to some extent by determining whether the driving event of the vehicle belongs to a preset event.
In one embodiment, the driving condition may further include a current driving time, and the determining the state of the driver based on the driving condition includes: and when the driving event is determined to belong to the preset event and the current driving time is not in the preset time period, determining that the driver is in a non-fatigue driving state.
It can be understood that the driver has different driving states in different driving time periods, and when the driving event is determined to belong to the preset event, whether the driving time of the current vehicle belongs to the preset time period or not is further determined, so that the driving state of the driver can be prevented from being judged incorrectly to a certain extent, and the accuracy of the determined driving state of the driver is improved.
For example, some trucks can only drive in the early morning hours due to traffic control in urban areas, and the like, while the roads are dark at night compared to the daytime, which tends to make the driver tired, and in addition, the driver is usually tired in the early morning hours due to the influence of the body's biological clock. Therefore, the preset time period can be set to 10 pm to 6 pm on the next day.
Furthermore, the sensory stimulation to the driver is larger in the daytime than at night, so that the driver is not easy to fatigue when driving, and if the vehicle is determined to drive in other time periods except for 6 o 'clock from 10 o' clock to the next day, the driver can be determined to be in a non-tired state.
It should be noted that the above examples only serve as an illustrative example, and the specific preset time period may be set according to a specific application scenario, which is not described too much herein.
In one embodiment, the driving condition may further include: the driving scene, based on the driving state, determines the state of the driver, and comprises the following steps: and when the driving event is determined to belong to a preset event, the current driving time is in a preset time period and the driving scene does not belong to a preset scene, determining that the driver is in a non-fatigue driving state.
The driver has different driving states in different driving scenes, whether the driving scene belongs to the preset scene or not is further determined when the driving event belongs to the preset event and the current driving time is within the preset time period, and therefore whether the driver is in the fatigue driving state or not is determined, the driver can be prevented from being determined as the fatigue driving state by mistake, and the accuracy of judging the fatigue driving of the driver is improved.
Further, the preset scenario may include: expressways and urban expressways.
When the vehicle runs on an expressway and an urban expressway, the speed is generally high, and the vehicle is not crowded like roads in a city area and is a frequent scene of fatigue driving of drivers.
It can be understood that the accuracy of judging the current state of the driver can be improved to a certain extent by setting the preset scene as an expressway and an urban expressway. It can be understood that when the vehicle runs on the expressway and the urban expressway, the speed is generally higher and is not crowded like the roads in the urban area, and the scene that the driver is fatigued to drive is frequent.
In one embodiment, determining the driving state of the driver based on the driving state condition comprises: when the driving event is determined to belong to a preset event, the current driving time is in a preset time period, and the driving scene belongs to a preset scene, acquiring the number of times of a first event that the driving event occurs in a first preset duration of the vehicle up to the current time belongs to the preset event; and when the first event number is greater than or equal to a first preset threshold value, determining that the driver is in the first fatigue state.
It can be understood that when it is determined that the driving event belongs to the preset event, the current driving time is in the preset time period, and the driving scene belongs to the preset scene, the number of times of the first event that the driving event occurred in the first preset duration of the vehicle up to the current time belongs to the preset event is obtained, and the state of the driver is determined according to the number of times of the first event, so that the situation that the state of the driver is determined as the fatigue driving state by mistake due to the accidental preset event in the driving process can be avoided, and the reliability of the determined state of the driver is improved.
In one embodiment, determining the driving state of the driver based on the driving condition may further include: when the driving event is determined to belong to a preset event, the current driving time is in a preset time period, the driving scene belongs to a preset scene, and the number of times of the first event is smaller than a first preset threshold value, acquiring the number of times of a second event that the driving event occurs in a second preset time length from the current moment of the vehicle and belongs to the preset event; when the second event frequency is greater than or equal to a second preset threshold value, determining that the driver is in a second fatigue state; and when the second event frequency is smaller than a second preset threshold value, determining that the driver is in a non-fatigue driving state.
Further, the first fatigue state may be indicative of severe driving fatigue and the second fatigue state may be indicative of mild driving fatigue, it being understood that the specific fatigue state may be specifically set according to the experience of the engineer.
Illustratively, the first preset time is set to 20min, and the first preset threshold is 40. And if the reporting time is 2:11 in the morning and belongs to a preset time period, continuously judging whether the driving scene of the vehicle is on an expressway or an urban expressway, if the vehicle is on the expressway, continuously judging the number of events of the vehicle within the first preset time, and if the vehicle has lane departure for 23 times within the past 20min, the distance between 17 times of vehicles is too close, and collision early warning is carried out for 10 times, then 23+17+10 is larger than 50, and the driver is judged to be in a severe fatigue driving state.
Further, the second preset time is a duration of the first preset time, illustratively, the first preset time is 60min, the second preset time is 90min, and the number of events occurring within the second preset time is characterized by the number of events occurring within the first preset time plus the number of events occurring within 30min after the first preset event.
It can be understood that when it is determined that the driving event belongs to the preset event, the current driving time is in the preset time period, the driving scene belongs to the preset scene, and the number of times of the first event is smaller than the first preset threshold, whether the driver is in the fatigue driving state is determined by acquiring the number of times of the second event that the driving event occurred within the second preset time period from the current time of the vehicle belongs to the preset event, so that the condition of the driver is prevented from being erroneously determined as the fatigue driving state due to the accidental preset event in the driving process, and the reliability of the determined driver state is improved.
In one embodiment, before the step S11 of obtaining the driving condition of the vehicle, the method further includes: and determining that the data of the DMS device is not received beyond a third preset time.
It can be understood that the DMS device on the vehicle may not send data due to a failure or being shielded by an object, and the state of the driver is determined by setting a third preset time length and acquiring the driving condition of the vehicle when the data of the DMS device is not received after exceeding the third preset time length, so as to improve the safety of the driver in driving the vehicle to a certain extent.
In the present embodiment, after determining the state of the driver based on the driving situation at step S12, the method may further include: and generating prompt information and reporting the state of the DMS equipment based on the state of the driver.
In one embodiment, when it is determined that the driver is tired, the prompt message may be generated by playing a pre-recorded sound for the vehicle to remind the driver of driving safely.
In another embodiment, when it is determined that the driver is tired, the prompt message may be generated to notify the operator so that the operator may prompt the driver through real-time voice.
Furthermore, the vehicle can be connected with the mobile phone Bluetooth of the driver, so that the mobile phone plays an alarm signal or the safety belt of the main driving position in the vehicle is controlled to be tensioned, and the driver is reminded of driving safely.
In an embodiment, the method for reporting the state of the DMS device may include: and judging the current state of the DSM equipment, and reporting according to the current state of the DSM equipment.
Specifically, when the DSM device fails, the vehicle mounted with the DSM device is subjected to repair processing. When the DSM device is occluded by an object, the driver is notified to remove an obstacle that occludes the DSM device.
It can be understood that the safety of the driver driving the vehicle is improved by intervening the driver and reporting the state of the DMS device based on the state of the driver.
Furthermore, corresponding intervention behaviors can be executed according to different fatigue driving state degrees of the driver, and the driver is reminded of driving safely.
Specifically, when the driver is in the first fatigue state, the driver can be prompted by the operator through real-time voice by notifying the operator.
When the vehicle is in the second fatigue state, the vehicle can be played with pre-recorded sound to remind the driver of safe driving.
Referring to fig. 2, based on the same inventive concept, the embodiment of the present application further provides a structural diagram of a fatigue driving detection apparatus 100, where the fatigue driving detection apparatus 100 includes: an acquisition module 10 and a determination module 20. The acquisition module 10 is used for acquiring the running condition of the vehicle. The determination module 20 is configured to determine a state of the driver based on the driving situation.
In one embodiment, the driving condition includes a driving event, and the determining module 20 is further configured to: and when the driving event is determined not to belong to the preset event, determining that the driver is in a non-fatigue driving state.
In one embodiment, the driving condition further includes a current driving time, and the determining module 20 is further configured to: and when the driving event is determined to belong to a preset event and the current driving time is not in a preset time period, determining that the driver is in a non-fatigue driving state.
In an embodiment, the driving situation further includes a driving scenario, and the determining module 20 is further configured to: and when the driving event is determined to belong to a preset event, the current driving time is in a preset time period and the driving scene does not belong to a preset scene, determining that the driver is in a non-fatigue driving state.
In one embodiment, the preset scene includes an expressway and an urban expressway.
In one embodiment, the determining module 20 is further configured to: when the driving event is determined to belong to a preset event, the current driving time is in a preset time period and the driving scene belongs to a preset scene, acquiring the number of times of a first event that the driving event occurs in a first preset duration of the vehicle up to the current moment and belongs to the preset event; and when the first event number is greater than or equal to a first preset threshold value, determining that the driver is in a first fatigue state.
In one embodiment, the determining module 20 is further configured to: when the driving event is determined to belong to a preset event, the current driving time is in a preset time period, the driving scene belongs to a preset scene, and the number of times of the first event is smaller than a first preset threshold value, acquiring the number of times of a second event that the driving event of the vehicle belongs to the preset event within a second preset time period from the current moment; when the second event frequency is greater than or equal to a second preset threshold value, determining that the driver is in a second fatigue state; and when the second event frequency is smaller than a second preset threshold value, determining that the driver is in a non-fatigue driving state.
In one embodiment, the determining module 20 is further configured to: and determining that the data of the DMS device is not received beyond a third preset time.
In one embodiment, the determining module 20 is further configured to: and generating prompt information and reporting the state of the DMS equipment based on the state of the driver.
It can be understood that the fatigue driving detection apparatus 100 provided in the present application corresponds to the fatigue driving detection method provided in the present application, and for brevity of the description, the same or similar parts may refer to the contents of the fatigue driving detection method part, and are not described herein again.
The respective modules in the fatigue driving detection apparatus 100 may be entirely or partially implemented by software, hardware, or a combination thereof. The modules can be embedded in a hardware form or independent of a processor in the server, and can also be stored in a memory in the server in a software form, so that the processor can call and execute operations corresponding to the modules. The processor can be a Central Processing Unit (CPU), a microprocessor, a singlechip and the like.
The fatigue driving detection method and/or the fatigue driving detection apparatus 100 may be implemented in the form of computer readable instructions, which may be executed on an electronic device as shown in fig. 3.
An electronic device according to an embodiment of the present application further includes a memory, a processor, and computer readable instructions stored in the memory and executable on the processor, where the processor implements the fatigue driving detection method when executing the program.
Fig. 3 is a schematic diagram of an internal structure of an electronic device according to an embodiment of the present application, where the electronic device may be a server. Referring to fig. 3, the electronic device includes a processor, a nonvolatile storage medium, an internal memory, an input device, a display screen, and a network interface, which are connected by a system bus. The non-volatile storage medium of the electronic device may store an operating system and computer readable instructions, and when the computer readable instructions are executed, the processor may execute a method for detecting fatigue driving according to embodiments of the present application, and a specific implementation process of the method may refer to specific contents in fig. 1, which is not described herein again. The processor of the electronic device is used for providing calculation and control capability and supporting the operation of the whole electronic device. The internal memory may have stored therein computer readable instructions that, when executed by the processor, cause the processor to perform a method of fatigue driving detection. The input device of the electronic equipment is used for inputting various parameters, the display screen of the electronic equipment is used for displaying, and the network interface of the electronic equipment is used for network communication. Those skilled in the art will appreciate that the architecture shown in fig. 3 is a block diagram of only a portion of the architecture associated with the subject application, and does not constitute a limitation on the electronic devices to which the subject application may be applied, and that a particular electronic device may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
Based on the same inventive concept, embodiments of the present application provide a computer-readable storage medium, on which computer-readable instructions are stored, and when being executed by a processor, the computer-readable storage medium implements the steps in the fatigue driving detection method.
Any reference to memory, storage, database, or other medium as used herein may include non-volatile. Suitable non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and there may be other divisions when actually implemented, and for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some communication interfaces, and may be in an electrical, mechanical or other form.
In addition, units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
Furthermore, the functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
In this document, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions.
The above description is only an example of the present application and is not intended to limit the scope of the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (12)
1. A fatigue driving detection method, characterized by comprising:
acquiring the driving condition of a vehicle;
based on the driving situation, the state of the driver is determined.
2. The fatigue driving detection method according to claim 1, wherein the driving situation includes a driving event, and the determining the state of the driver based on the driving situation includes:
and when the driving event is determined not to belong to the preset event, determining that the driver is in a non-fatigue driving state.
3. The fatigue driving detecting method according to claim 2, wherein the driving situation further includes a current driving time, and the determining the state of the driver based on the driving situation includes:
and when the driving event is determined to belong to a preset event and the current driving time is not in a preset time period, determining that the driver is in a non-fatigue driving state.
4. The fatigue driving detecting method according to claim 3, wherein the driving situation further includes a driving scenario, and the determining the state of the driver based on the driving state includes:
and when the driving event is determined to belong to a preset event, the current driving time is in a preset time period and the driving scene does not belong to a preset scene, determining that the driver is in a non-fatigue driving state.
5. The fatigue driving detection method according to claim 4, wherein the preset scene includes an expressway and an urban expressway.
6. The fatigue driving detecting method according to claim 4, wherein the determining the driving state of the driver based on the driving situation includes:
when the driving event is determined to belong to a preset event, the current driving time is in a preset time period and the driving scene belongs to a preset scene, acquiring the number of times of a first event that the driving event occurs in a first preset duration of the vehicle up to the current moment and belongs to the preset event;
and when the first event number is greater than or equal to a first preset threshold value, determining that the driver is in a first fatigue state.
7. The fatigue driving detecting method according to claim 6, wherein the determining the driving state of the driver based on the driving situation includes:
when the driving event is determined to belong to a preset event, the current driving time is in a preset time period, the driving scene belongs to a preset scene, and the number of times of the first event is smaller than a first preset threshold value, acquiring the number of times of a second event that the driving event of the vehicle belongs to the preset event within a second preset time period from the current moment;
when the second event frequency is greater than or equal to a second preset threshold value, determining that the driver is in a second fatigue state;
and when the second event frequency is smaller than a second preset threshold value, determining that the driver is in a non-fatigue driving state.
8. The fatigue driving detecting method according to claim 1, wherein before the acquiring of the running condition of the vehicle, the method further comprises:
and determining that the data of the DMS device is not received beyond a third preset time.
9. The fatigue driving detecting method according to claim 8, wherein after the determining the state of the driver based on the running situation, the method further comprises:
and generating prompt information and reporting the state of the DMS equipment based on the state of the driver.
10. A fatigue driving detecting device, characterized by comprising:
the acquisition module is used for acquiring the driving condition of the vehicle;
and the determining module is used for determining the state of the driver based on the driving condition.
11. An electronic device comprising a memory and a processor, the memory having stored therein computer readable instructions which, when executed by the processor, cause the processor to perform the fatigue driving detection method of any one of claims 1-9 or to implement the functionality of the fatigue driving detection apparatus of claim 10.
12. A non-transitory readable storage medium storing computer readable instructions which, when executed by a processor, cause the processor to perform the fatigue driving detection method of any one of claims 1-9 or to implement the functionality of the fatigue driving detection apparatus of claim 10.
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