CN117037476A

CN117037476A - Fatigue driving detection method and device for high-speed scene, electronic equipment and storage medium

Info

Publication number: CN117037476A
Application number: CN202310974291.3A
Authority: CN
Inventors: 张上鑫
Original assignee: Mushroom Car Union Information Technology Co Ltd
Current assignee: Mushroom Car Union Information Technology Co Ltd
Priority date: 2023-08-03
Filing date: 2023-08-03
Publication date: 2023-11-10

Abstract

The application discloses a fatigue driving detection method and device for a high-speed scene, electronic equipment and a storage medium, wherein the method comprises the following steps: acquiring an ID of an entering vehicle according to the road side sensing equipment; determining continuous driving time of a driver and rest time of the driver in a target vehicle according to a correlation result of the vehicle ID and preset vehicle characteristic information, wherein the vehicle ID of the target vehicle is correlated with at least one preset vehicle characteristic information; and generating a detection result of fatigue driving of a driver in the target vehicle in response to the continuous driving time and the continuous tracking result of the rest time. The road side equipment is adopted to detect the vehicle and the driver, judge whether the driver is tired to drive or not and remind the driver to give an alarm. The method and the device can be used for the vehicle-road cooperative scene.

Description

Fatigue driving detection method and device for high-speed scene, electronic equipment and storage medium

Technical Field

The application relates to the technical field of automatic driving, in particular to a fatigue driving detection method and device for a high-speed scene, electronic equipment and a storage medium.

Background

The high-speed scene belongs to a closed road section, the fatigue driving condition at high speed is many, and accidents are easy to occur.

In the related art, the fatigue state of the driver is usually detected in the vehicle, but there is no effective method for detecting the fatigue driving outside the vehicle.

Disclosure of Invention

The embodiment of the application provides a fatigue driving detection method and device for a high-speed scene, electronic equipment and a storage medium, which are used for detecting a vehicle and a driver in the vehicle by using road side equipment covered by a whole road section so as to judge whether the fatigue driving exists and carry out reminding and early warning.

The embodiment of the application adopts the following technical scheme:

in a first aspect, an embodiment of the present application provides a method for detecting fatigue driving in a high-speed scenario, where the method includes:

acquiring a vehicle ID according to the road side sensing equipment;

determining continuous driving time of a driver and rest time of the driver in a target vehicle according to a correlation result of the vehicle ID and preset vehicle characteristic information, wherein the vehicle ID of the target vehicle is correlated with at least one preset vehicle characteristic information;

and generating a detection result of fatigue driving of a driver in the target vehicle in response to the continuous driving time and the continuous tracking result of the rest time.

In some embodiments, the preset vehicle characteristic information includes at least one of: license plate number information of the vehicle, face information of the driver, the method further comprising:

detecting and obtaining face information of a driver according to the road side sensing equipment;

associating face information of the driver with the vehicle ID;

and/or the number of the groups of groups,

detecting and obtaining license plate number information of the vehicle according to the road side sensing equipment;

and associating license plate number information of the vehicle with the vehicle ID.

In some embodiments, the acquiring, according to a road side sensing device deployed in a full road section of the high-speed scene, a vehicle ID when entering the high-speed scene includes:

and detecting each vehicle in the high-speed scene through the road side sensing equipment, and correlating and tracking the detection result of the same target on a plurality of frames, so that the vehicle ID is continuously used in the tracking process of the detection result on continuous frames when each vehicle runs on the high-speed road.

In some embodiments, after associating the face information of the driver with the vehicle ID, the method further includes:

judging whether the continuous driving time exists or not according to the association result of the face information of the driver and the vehicle ID;

if not, the current time is saved as the initial timing time of the fatigue driving and the rest time is set to 0;

if so, the continuous driving time is accumulated.

In some embodiments, after associating the face information of the driver with the vehicle ID, the method includes:

judging whether the face information exists in the target vehicle or not according to the association result of the face information of the driver and the vehicle ID;

if so, comparing the existing face information with the current face information and judging whether the existing face information belongs to the same face;

if the continuous driving time belongs to the same face, updating the continuous driving time, wherein the early warning information is sent under the condition that the continuous driving time is larger than a first time threshold value and the rest time is smaller than a second time threshold value;

if the fatigue driving is judged not to belong to the same face, resetting the initial timing time of the fatigue driving, then saving the time at the moment as the initial timing time of the fatigue driving, and setting the rest time to 0.

In some embodiments, the generating a detection result of fatigue driving of the driver in response to the continuous driving time and the continuous tracking result of the rest time includes:

detecting characteristic information of the target vehicle entering or exiting the service area according to road side sensing equipment deployed in the service area and establishing association with the vehicle ID;

under the condition that the target vehicle enters the service area, accumulating and calculating the rest time of the driver;

and under the condition that the target vehicle exits the service area, stopping calculating the rest time of the driver, and under the condition that the rest time of the driver is judged to be larger than a second time threshold value, setting the continuous driving time and the rest time to 0.

In some embodiments, the method further comprises:

after the vehicle leaves the high-speed scene, canceling continuous tracking setting of the continuous driving time and the rest time for the target vehicle;

and/or the number of the groups of groups,

and when the vehicle runs in a high-speed scene, if the continuous driving time of the target vehicle and the continuous tracking result of the rest time are not satisfied with the preset time, sending alarm information to the target vehicle or surrounding vehicles of the target vehicle through a V2X protocol.

In a second aspect, an embodiment of the present application further provides a fatigue driving detection device in a high-speed scenario, where the device includes:

the acquisition module is used for acquiring the vehicle ID when entering the high-speed scene according to the road side sensing equipment deployed in the whole road section of the high-speed scene;

the determining module is used for determining continuous driving time of a driver in a target vehicle and rest time of the driver according to the association result of the vehicle ID and preset vehicle characteristic information, wherein the association is established between the vehicle ID of the target vehicle and at least one piece of preset vehicle characteristic information;

and the generation module is used for responding to the continuous driving time and the continuous tracking result of the rest time and generating a detection result of fatigue driving of the driver.

In a third aspect, an embodiment of the present application further provides an electronic device, including: a processor; and a memory arranged to store computer executable instructions that, when executed, cause the processor to perform the above method.

In a fourth aspect, embodiments of the present application also provide a computer-readable storage medium storing one or more programs, which when executed by an electronic device comprising a plurality of application programs, cause the electronic device to perform the above-described method.

The above at least one technical scheme adopted by the embodiment of the application can achieve the following beneficial effects: firstly, road side sensing equipment deployed in a full road section of a high-speed scene is used for acquiring a vehicle ID when entering the high-speed scene; and then determining continuous driving time of the driver in the target vehicle and rest time of the driver according to the association result of the vehicle ID and the preset vehicle characteristic information, and finally responding to the continuous tracking result of the continuous driving time and the rest time to generate a detection result of fatigue driving of the driver in the target vehicle. The whole process does not need an in-vehicle camera to collect face images of a driver to carry out fatigue driving identification, but realizes continuous tracking of continuous driving time and rest time through road side sensing equipment of road side equipment covered by a whole road section in a high-speed scene, so that whether the driver in the vehicle is in fatigue driving or not is judged through conditions that the fatigue driving and the rest time need to be met. Furthermore, the rest area in the high speed scene can still keep track and the continuous driving time can be emptied when the rest time is sufficient.

Drawings

The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the application and do not constitute a limitation on the application. In the drawings:

FIG. 1 is a schematic diagram of a usage scenario of a fatigue driving detection method for a high-speed scenario in an embodiment of the present application;

FIG. 2 is a flow chart of a fatigue driving detection method in a high-speed scene according to an embodiment of the application;

FIG. 3 is a schematic structural diagram of a fatigue driving detection device in a high-speed scene in an embodiment of the application;

fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present application.

Detailed Description

In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be clearly and completely described below with reference to specific embodiments of the present application and corresponding drawings. It will be apparent that the described embodiments are only some, but not all, embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.

The following describes in detail the technical solutions provided by the embodiments of the present application with reference to the accompanying drawings.

Fig. 1 is a schematic diagram of a usage scenario of a fatigue driving detection method for a high-speed scenario in an embodiment of the present application, where the usage scenario includes a high-speed scenario entrance 1 and a high-speed scenario exit 2, and broken lines in the figure are omitted parts. The vehicle 5 enters via the high-speed scene entrance 1 and exits through the high-speed scene exit 2. Further, a service area 3 in a high-speed scenario is included. The road side sensing device 4 is deployed on the whole road section of the high-speed scene (meanwhile, the road side sensing device comprises road side computing devices, or both are collectively called road side devices, of course, the road side computing devices are not required to be included, the computing units are deployed on the cloud), and the road side sensing device 4 at least comprises a vision sensor. It will be appreciated that laser radar, millimeter wave radar, etc. may also be included in the road side sensing device 4 as desired. The road side sensing devices 4 may also be installed at the entrance or exit location of the service area 3. The vehicle 5 may be an intelligent driving vehicle having an autopilot function, or the vehicle 5 may be a normal vehicle not having an autopilot function.

It should be noted that "roadside sensing device" refers broadly to a sensor or a set of sensors mounted on the roadside device with a computer image recognition function, and particularly to a visual sensor, i.e., a camera. Meanwhile, the camera may employ a camera including, but not limited to, far, middle, near, or other types of cameras.

In the embodiment of the application, the vehicle and the driver are detected through the road side sensing equipment covered by the whole road section, and whether fatigue driving exists or not is judged, and reminding and/or early warning are carried out.

The embodiment of the application provides a fatigue driving detection method of a high-speed scene, as shown in fig. 2, and provides a flow chart of the fatigue driving detection method of the high-speed scene in the embodiment of the application, wherein the method at least comprises the following steps S210 to S230:

step S210, acquiring the vehicle ID when entering the high-speed scene according to the road side sensing equipment deployed in the whole road section of the high-speed scene.

And detecting vehicles entering the expressway based on the road side sensing equipment, and correlating and tracking detection results of the same target on a plurality of frames, so that when the vehicles run on the expressway, unique vehicle IDs can be used for representing in the tracking process of continuous frames. It should be noted that, since the import and export of the high-speed scene is clearly divided, when a new vehicle enters the high-speed scene, it is randomly allocated, which is also a unique vehicle ID. The vehicle ID always follows the whole process of the vehicle running out from the entrance to the exit of the high-speed scene, and whether the driver in the vehicle has fatigue driving or not can be detected in the whole process of the high-speed running according to the vehicle ID.

Step S220, determining a continuous driving time of the driver and a rest time of the driver in the target vehicle according to a result of the association between the vehicle ID and the preset vehicle feature information, wherein the association between the vehicle ID of the target vehicle and at least one preset vehicle feature information is established.

Because a large number of vehicles run in a high-speed scene, characteristic association is needed for a large number of vehicle IDs, and an association relationship is established, so that continuous tracking is ensured. In some cases, if the road side sensing device acquires license plate number information, an association relationship can be established according to the license plate number information and the vehicle ID; in other cases, if the road side sensing device acquires the face information of the driver in the vehicle, an association relationship can be established according to the face information and the vehicle ID; in other cases, if the road side sensing device cannot extract the vehicle characteristic information, no association is established first, and then matching is performed when the vehicle characteristic information can be extracted later.

For example, the road side sensing device may detect a license plate of a vehicle, and associate the detected license plate with the ID of the vehicle and the vehicle corresponding to the license plate.

Considering that the id of the same target can be kept unchanged in the visual field range of the road side sensing equipment, once the target is out of the visual field, for example, the target enters a service area or a visual field blind area of the road side sensing equipment, and the service area is not provided with the road side sensing equipment, the target can only be endowed with another id when the road side sensing equipment is arranged in the road side sensing visual field again, and if the target is associated with a license plate, the target can be kept to be represented by the unique id even if the vehicle enters the service area in the high-speed running process, so that the aim of monitoring the full-scale high-speed running process is fulfilled.

Meanwhile, in order to reduce false detection, the license plate is not detected every frame and is used for representing the vehicle, because the license plate cannot be guaranteed to be detected every frame, and the license plate can be blocked by other vehicles for a long time on a highway. The use of unique vehicle IDs can better address the problem of possible occlusion.

Step S230, in response to the continuous tracking result of the continuous driving time and the rest time, generating a detection result of fatigue driving of the driver in the target vehicle.

By continuously recording and tracking the continuous driving time of the driver in the target vehicle and the rest time of the driver, it can be determined whether the continuous driving time of the driver in the target vehicle is greater than the continuous driving threshold value and whether the rest time of the driver is greater than the rest threshold value. If the continuous driving time exceeds the continuous driving threshold value after judgment and the rest time does not meet the rest threshold value, the method responds in an alarm mode.

The generated detection result of the fatigue driving of the driver in the target vehicle is continuously updated and recorded in the continuous driving range of the target vehicle.

According to the method, whether the driver in the vehicle drives fatigue is not required to be detected, the road side sensing equipment which is externally arranged in the whole road section of the high-speed scene is adopted to acquire the vehicle ID when the driver enters the high-speed scene, then the continuous driving time of the driver in the target vehicle and the rest time of the driver are further determined according to the association result of the vehicle ID and the preset vehicle characteristic information, whether the continuous driving time and the rest time meet a certain relation or not is judged, the continuous driving time and the rest time are continuously tracked, and finally the detection result of the fatigue driving is generated according to the continuous tracking result.

According to the method, the fatigue driving condition of the high-speed scene can be actively monitored without manual intervention, and the vehicles and the drivers are detected by using road side equipment covered by the whole road section, so that whether the continuous driving time and the rest time meet the relevant requirements or not is judged, and whether the drivers in the vehicles have fatigue driving or not is judged, and reminding and early warning are carried out.

In one embodiment of the present application, the preset vehicle characteristic information includes at least one of the following: license plate number information of the vehicle, face information of the driver, the method further comprising: detecting and obtaining face information of a driver according to the road side sensing equipment; associating face information of the driver with the vehicle ID; and/or obtaining license plate number information of the vehicle according to the detection of the road side sensing equipment; and associating license plate number information of the vehicle with the vehicle ID.

In order to perform tracking matching better, vehicle characteristic information may be preset, where the vehicle characteristic information includes license plate number information of the vehicle, face information of the driver, and the like, and may further include basic information such as a color of the vehicle, a type of the vehicle, and the like.

Further, if the face information of the driver can be obtained according to the detection of the road side sensing equipment; the face information of the driver may be associated with the vehicle ID. It can be appreciated that, since the roadside sensing device processes each frame, face information can be detected when a certain frame meets the detection requirement.

Further, if the license plate number information of the vehicle can be obtained according to the detection of the road side sensing equipment; the license plate number information of the vehicle may be associated with the vehicle ID. It will be appreciated that since each frame is processed by the road side sensing device, license plate information may be detected when a frame meets detection requirements (e.g., no occlusion).

The two modes are usually synchronous, and if the feature information is associated more, the continuous tracking result is more stable.

In one embodiment of the present application, the obtaining, according to a road side sensing device deployed in a full road section of a high-speed scene, a vehicle ID when entering the high-speed scene includes: and detecting each vehicle in the high-speed scene through the road side sensing equipment, and correlating and tracking the detection result of the same target on a plurality of frames, so that the vehicle ID is continuously used in the tracking process of the detection result on continuous frames when each vehicle runs on the high-speed road.

And detecting each vehicle in the high-speed scene to obtain a detection result of the vehicle ID for simultaneously associating and tracking the same target in a plurality of frames, so that the vehicle ID can be used as a unique identifier for continuous use in the tracking process of each vehicle.

In one embodiment of the present application, after associating the face information of the driver with the vehicle ID, the method further includes: judging whether the continuous driving time exists or not according to the association result of the face information of the driver and the vehicle ID; if not, the current time is saved as the initial timing time of the fatigue driving and the rest time is set to 0; if so, the continuous driving time is accumulated.

Detecting a vehicle driver through a road side sensing device, extracting the face characteristics of the driver, and associating the face characteristics with the ID of the vehicle to obtain a target vehicle (the ID of the vehicle is at least matched with one type of vehicle characteristic information). If the timing of the fatigue driving is not performed before, the time at the moment is saved as the initial timing time of the fatigue driving, and the rest time is set to 0.

Further, if the continuous driving time exists, the continuous driving time is accumulated. That is, there has been a previous accumulation of driving time, so if there is, the accumulation continues.

In one embodiment of the application, the method further comprises: judging whether the face information exists in the target vehicle or not according to the association result of the face information of the driver and the vehicle ID; if so, comparing the existing face information with the current face information and judging whether the existing face information belongs to the same face; if the continuous driving time belongs to the same face, updating the continuous driving time, wherein the early warning information is sent under the condition that the continuous driving time is larger than a first time threshold value and the rest time is smaller than a second time threshold value; if the fatigue driving is judged not to belong to the same face, resetting the initial timing time of the fatigue driving, then saving the time at the moment as the initial timing time of the fatigue driving, and setting the rest time to 0.

The "first time threshold" is a threshold for continuous driving time (fatigue driving) and can be determined according to actual conditions or compliance regulations.

Whether the face features exist in the target vehicle or not is judged. If the face features exist, the face features are compared with the current face features, and whether the face features are the same face is judged.

According to the rule of the sixty-second clause of the regulations of the implementation of the road traffic safety law: that is, the motor vehicle must not be driven continuously for more than 4 hours without stopping the motor vehicle or the stopping time is less than 20 minutes, and the public security traffic management department can punish in law violation.

And executing corresponding operations according to the judgment result:

a. if the same face (already associated), the time of the continuous driving time is updated, and the current time minus the initial time of the continuous driving time of the current target vehicle may be used. If the result is greater than 4 hours, then continuing to judge whether the rest time is greater than 20 minutes. And if the rest time is insufficient, sending an early warning, and not only sending the vehicle, but also reminding the driver. Meanwhile, surrounding vehicles are sent to pay attention, related videos, license plate information and the like are extracted, and road traffic safety management departments are sent.

b. If the continuous driving time is not the same face (not associated), resetting the initial time of the continuous driving time, and saving the time at the moment as the initial timing time of the fatigue driving, wherein the rest time is set to 0.

In one embodiment of the present application, the generating a detection result of fatigue driving of the driver in response to the continuous driving time and the continuous tracking result of the rest time includes: detecting characteristic information of the target vehicle entering or exiting the service area according to road side sensing equipment deployed in the service area and establishing association with the vehicle ID; under the condition that the target vehicle enters the service area, accumulating and calculating the rest time of the driver; and under the condition that the target vehicle exits the service area, stopping calculating the rest time of the driver, and under the condition that the rest time of the driver is judged to be larger than a second time threshold value, setting the continuous driving time and the rest time to 0.

The "second time threshold" is a threshold of rest time, and may be determined according to actual conditions or compliance rules.

In the implementation, first, in order to keep continuous tracking, feature information of the target vehicle entering or exiting the service area needs to be detected and associated with the vehicle ID according to road side sensing equipment deployed in the service area.

Then, by installing a roadside awareness device at or near the service area entrance, detecting and correlating the vehicle entering the service area with the previous tracking result (mainly based on the ID of the vehicle), the rest time is calculated cumulatively or the result based on the rest time setting 0 is accumulated for the target entering the service area. The accumulated calculation is made considering that the possible rest time is not 0.

And erecting road side sensing equipment at the service area or the exit of the service area, detecting the vehicle exiting the service area and correlating with the result of the steps, and stopping calculating the rest time for the target exiting the service area. Judging whether the rest time is more than 20 minutes (the motor vehicle is driven according to the rule, the motor vehicle cannot be driven continuously for more than 4 hours, the rest is not stopped, or the rest time is less than 20 minutes), if so, setting the continuous driving time to zero, and setting the rest time to 0.

In one embodiment of the application, the method further comprises: after the vehicle leaves the high-speed scene, canceling continuous tracking setting of the continuous driving time and the rest time for the target vehicle; and/or when the vehicle runs in the high-speed scene, if the continuous driving time of the target vehicle and the continuous tracking result of the rest time are not satisfied with the preset time, sending alarm information to the target vehicle or surrounding vehicles of the target vehicle through a V2X protocol.

When the vehicle leaves the high-speed scene, the target vehicle is not continuously tracked.

When the vehicle runs in a high-speed scene, continuously judging the continuous driving time and the rest time of the target vehicle, and judging whether the two types of time do not meet the preset continuous driving time and the preset rest time, if so, considering that the vehicle belongs to fatigue driving currently, and sending alarm information to the target vehicle or surrounding vehicles of the target vehicle through a V2X protocol.

The embodiment of the application also provides a fatigue driving detection device 300 of the high-speed scene, as shown in fig. 3, and provides a structural schematic diagram of the fatigue driving detection device of the high-speed scene in the embodiment of the application, where the fatigue driving detection device 300 of the high-speed scene at least includes: an acquisition module 310, a determination module 320, and a generation module 330, wherein:

in one embodiment of the present application, the obtaining module 310 is specifically configured to: and acquiring the vehicle ID when entering the high-speed scene according to the road side sensing equipment deployed in the whole road section of the high-speed scene.

And detecting vehicles entering the expressway based on the road side sensing equipment, and correlating and tracking detection results of the same target on a plurality of frames, so that when the vehicles run on the expressway, unique vehicle IDs can be used for representing in the tracking process of continuous frames. It should be noted that, since the import and export of the high-speed scene is clearly divided, when a new vehicle enters the high-speed scene, it is randomly allocated, which is also a unique vehicle ID. This vehicle ID will always follow the entire process of the vehicle exiting from the entrance to the exit of the high speed scene and it is necessary to detect whether the driver in the vehicle is driving fatigue during this process.

In one embodiment of the present application, the determining module 320 is specifically configured to: and determining continuous driving time of a driver in the target vehicle and rest time of the driver according to the association result of the vehicle ID and the preset vehicle characteristic information, wherein the association is established between the vehicle ID of the target vehicle and at least one preset vehicle characteristic information.

Feature association is needed for a large number of vehicle IDs, and association relation is established, so that continuous tracking is guaranteed. In some cases, if the road side sensing device acquires license plate number information, an association relationship can be established according to the license plate number information and the vehicle ID; in other cases, if the road side sensing device acquires the face information of the driver in the vehicle, an association relationship can be established according to the face information and the vehicle ID; in still other cases, if the road side sensing apparatus cannot extract the vehicle characteristic information, no association is established first and then matching is performed if the vehicle characteristic information can be extracted later.

In one embodiment of the present application, the generating module 330 is specifically configured to: and generating a detection result of fatigue driving of a driver in the target vehicle in response to the continuous driving time and the continuous tracking result of the rest time.

It can be understood that the above-mentioned fatigue driving detection device for a high-speed scene can implement each step of the fatigue driving detection method for a high-speed scene provided in the foregoing embodiment, and the relevant explanation of the fatigue driving detection method for a high-speed scene is applicable to the fatigue driving detection device for a high-speed scene, which is not repeated herein.

Fig. 4 is a schematic structural view of an electronic device according to an embodiment of the present application. Referring to fig. 4, at the hardware level, the electronic device includes a processor, and optionally an internal bus, a network interface, and a memory. The Memory may include a Memory, such as a Random-Access Memory (RAM), and may further include a non-volatile Memory (non-volatile Memory), such as at least 1 disk Memory. Of course, the electronic device may also include hardware required for other services.

The processor, network interface, and memory may be interconnected by an internal bus, which may be an ISA (Industry Standard Architecture ) bus, a PCI (Peripheral Component Interconnect, peripheral component interconnect standard) bus, or EISA (Extended Industry Standard Architecture ) bus, among others. The buses may be classified as address buses, data buses, control buses, etc. For ease of illustration, only one bi-directional arrow is shown in FIG. 4, but not only one bus or type of bus.

And the memory is used for storing programs. In particular, the program may include program code including computer-operating instructions. The memory may include memory and non-volatile storage and provide instructions and data to the processor.

The processor reads the corresponding computer program from the nonvolatile memory to the memory and then operates the memory to form the fatigue driving detection device of the high-speed scene on the logic level. The processor is used for executing the programs stored in the memory and is specifically used for executing the following operations:

acquiring a vehicle ID when entering a high-speed scene according to road side sensing equipment deployed in a full road section of the high-speed scene;

The method executed by the fatigue driving detection device in the high-speed scenario disclosed in the embodiment of fig. 2 of the present application may be applied to a processor or implemented by the processor. The processor may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware in a processor or by instructions in the form of software. The processor may be a general-purpose processor, including a central processing unit (Central Processing Unit, CPU), a network processor (Network Processor, NP), etc.; but also digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), field programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components. The disclosed methods, steps, and logic blocks in the embodiments of the present application may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present application may be embodied directly in the execution of a hardware decoding processor, or in the execution of a combination of hardware and software modules in a decoding processor. The software modules may be located in a random access memory, flash memory, read only memory, programmable read only memory, or electrically erasable programmable memory, registers, etc. as well known in the art. The storage medium is located in a memory, and the processor reads the information in the memory and, in combination with its hardware, performs the steps of the above method.

The electronic device may further execute the method executed by the fatigue driving detection device in the high-speed scenario in fig. 2, and implement the function of the fatigue driving detection device in the high-speed scenario in the embodiment shown in fig. 2, which is not described herein.

The embodiment of the application also provides a computer readable storage medium storing one or more programs, where the one or more programs include instructions, which when executed by an electronic device including a plurality of application programs, enable the electronic device to execute a method executed by a fatigue driving detection apparatus for a high-speed scene in the embodiment shown in fig. 2, and specifically is used to execute:

It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

In one typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.

The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of computer-readable media.

Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.

It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises the element.

The foregoing is merely exemplary of the present application and is not intended to limit the present application. Various modifications and variations of the present application will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. which come within the spirit and principles of the application are to be included in the scope of the claims of the present application.

Claims

1. A method for detecting fatigue driving in a high-speed scene, wherein the method comprises:

acquiring a vehicle ID according to the road side sensing equipment;

2. The method of claim 1, wherein the preset vehicle characteristic information comprises at least one of: license plate number information of the vehicle, face information of the driver, the method further comprising:

associating face information of the driver with the vehicle ID;

and/or the number of the groups of groups,

3. The method of claim 2, wherein the obtaining the vehicle ID from the road side awareness apparatus includes:

4. The method according to claim 2, wherein after the associating the face information of the driver with the vehicle ID, further comprising:

if so, the continuous driving time is accumulated.

5. The method according to claim 2, wherein after the associating the face information of the driver with the vehicle ID, further comprising:

if the continuous driving time belongs to the same face, updating the continuous driving time;

6. The method of claim 1, wherein the generating a detection result of fatigue driving of the driver in response to the continuous driving time and the continuous tracking result of the rest time comprises:

7. The method of any one of claims 1 to 6, wherein the method further comprises:

and/or the number of the groups of groups,

8. A fatigue driving detection device for a high-speed scene, wherein the device comprises:

the acquisition module is used for acquiring the vehicle ID according to the road side sensing equipment;

9. An electronic device, comprising:

a processor; and

a memory arranged to store computer executable instructions which, when executed, cause the processor to perform the method of any of claims 1 to 7.

10. A computer readable storage medium storing one or more programs, which when executed by an electronic device comprising a plurality of application programs, cause the electronic device to perform the method of any of claims 1-7.