CN113624514A - Test method, system, electronic device and medium for driver state monitoring product - Google Patents
Test method, system, electronic device and medium for driver state monitoring product Download PDFInfo
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Abstract
The invention relates to a test method, a test system, electronic equipment and a test medium for a driver state monitoring product. The test method of the driver state monitoring product comprises the following steps: acquiring vehicle running data, vehicle position data, driver objective physiological data and driver subjective physiological data, and performing data time synchronization and normalization processing on the data; inputting the processed data into a multi-dimensional dangerous driving model, and determining the occurrence time of dangerous driving behaviors; determining the alarm time of the tested product according to the alarm image information and the alarm sound information of the tested product; determining alarm response time according to the dangerous driving behavior occurrence time and the alarm time of the tested product; acquiring the alarm response time of a plurality of drivers in driving under different fatigue degrees, and determining an alarm response time set; and determining the numerical value of the test evaluation index according to the alarm response time set. The method can be used for objectively, comprehensively and comprehensively testing the driver state monitoring product.
Description
Technical Field
The invention relates to the field of vehicle active safety, in particular to a test method, a test system, electronic equipment and a test medium for a driver state monitoring product.
Background
The abnormal driver state is one of the important causes of the occurrence of traffic accidents, and about 30% of traffic accidents are related to the abnormal driver state. Due to the inattention, the driver can not take normal operation in time when encountering dangerous emergency, thereby causing accidents.
The driver monitoring function can monitor the driving state of the driver in real time and send prompt information to remind the driver to drive safely when the attention of the driver is dispersed, so that the number of accidents caused by the error of the driver can be effectively reduced. A series of national standards and local standards related to the driver monitoring function are formulated and released at home and abroad, and a good policy environment is provided for the development of the driver monitoring function. Meanwhile, the driver monitoring is a necessary function of automatically driving the vehicle, and the rapid development of the intelligent cabin also promotes the increase of the demand of the driver monitoring function. According to the industrial research report, the domestic driver monitoring market space reaches 82 billion yuan, and a good market environment is provided for the development of the driver monitoring function.
At present, the monitoring function of a driver is mainly divided into two technical routes of monitoring the running state of a vehicle and monitoring the physiological state of the driver. The vehicle running state monitoring is mainly used for monitoring and analyzing data such as vehicle speed change, acceleration change, distance from a lane line to a transverse direction, driving time and the like, so that whether the state of a driver is normal or not is judged. The physiological state monitoring of the driver mainly monitors and analyzes the heart rate, eyeballs, brain waves, postures and the like of the driver and judges whether the driving state is normal or not.
The driver state function has good policies and market development environments, development prospects and market demands are good, meanwhile, the function has multiple technical routes, and the difficulty in checking the product quality is high at present. Therefore, a scientific and reasonable test method is urgently needed to evaluate products produced by enterprises. Aiming at products with different technical routes and different architectures, the method not only can judge whether the products meet the standard requirements or not, can be safely used, but also can judge the excellent degree of the functions realized by different products.
At present, research on a driver monitoring function test method is less, and the method mainly combines camera monitoring and manual judgment. The existing test method is simple, and the test result is greatly influenced by the subjectivity of testers; on the other hand, the existing method mainly focuses on testing products of a driver physiological monitoring technical route, is not suitable for monitoring products of a vehicle driving state technical route, and has large application range limitation; finally, the existing testing method mainly aims at the passing test of independent items, such as the items of eye closing, yawning and the like, and the research on the overall performance evaluation of the monitoring function of the driver is less.
In view of the above, the present invention is particularly proposed.
Disclosure of Invention
The invention aims to provide a testing method, a testing system, electronic equipment and a testing medium for a driver state monitoring product, so as to realize objective, comprehensive and comprehensive testing of the driver state monitoring product.
In order to achieve the purpose, the invention adopts the following technical scheme:
in a first aspect, the present invention provides a method for testing a driver status monitoring product, including:
acquiring vehicle running data, vehicle position data, driver objective physiological data and driver subjective physiological data, and performing data time synchronization and normalization processing on the data;
inputting the processed vehicle driving data, vehicle position data, objective driver physiological data and subjective driver physiological data into a multi-dimensional dangerous driving model, and determining the occurrence time of dangerous driving behaviors;
determining the alarm time of the tested product according to the alarm image information and the alarm sound information of the tested product;
determining alarm response time according to the dangerous driving behavior occurrence time and the alarm time of the tested product;
acquiring the alarm response time of a plurality of drivers in driving under different fatigue degrees, and determining an alarm response time set;
and determining the numerical value of the test evaluation index according to the alarm response time set.
In a second aspect, the present invention provides a test system for a driver condition monitoring product, comprising:
the vehicle information acquisition subsystem is used for acquiring vehicle running data and vehicle position data;
the driver information acquisition subsystem is used for acquiring objective physiological data and subjective physiological data of a driver;
the data synchronization and processing subsystem is used for carrying out data time synchronization and normalization processing on the data;
the acoustic information acquisition subsystem is used for acquiring alarm sound information;
the image information acquisition subsystem is used for acquiring alarm image information;
the test evaluation subsystem is used for inputting the processed vehicle driving data, vehicle position data, objective driver physiological data and subjective driver physiological data into a multi-dimensional dangerous driving model and determining the occurrence time of dangerous driving behaviors; determining the alarm time of the tested product according to the alarm image information and the alarm sound information of the tested product; determining alarm response time according to the dangerous driving behavior occurrence time and the alarm time of the tested product; acquiring the alarm response time of a plurality of drivers in driving under different fatigue degrees, and determining an alarm response time set; and determining the numerical value of the test evaluation index according to the alarm response time set.
In a third aspect, the present invention provides an electronic device, comprising:
at least one processor, and a memory communicatively coupled to at least one of the processors;
wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method described above.
In a fourth aspect, the present invention provides a medium having stored thereon computer instructions for causing the computer to perform the method described above.
Compared with the prior art, the invention has the beneficial effects that:
the data sources of the testing method of the driver state monitoring product provided by the invention are four dimensions of vehicle driving data, vehicle position data, objective physiological data of the driver and subjective physiological data of the driver, and the data are evaluated through a multi-dimensional dangerous driving model, so that the objectivity of the testing method is improved to a greater extent, and the defect of strong subjective judgment of the existing testing method can be effectively overcome.
The testing method can be applied to driver state monitoring products for monitoring the vehicle running state and the physiological state of the driver, and can effectively overcome the defects that the existing main testing method only can test the products of the driver physiological state monitoring technical route and has narrow application range.
The testing method is combined with the current situation of domestic and foreign standard research, can realize continuous and integral performance evaluation on driver monitoring products, and effectively overcomes the defect that the existing testing method can only evaluate by items.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a flowchart of a test method of a driver status monitor product provided in embodiment 1;
FIG. 2 is a schematic structural diagram of a test system of a driver condition monitoring product according to embodiment 2;
fig. 3 is a schematic structural view of a vehicle information collection subsystem in embodiment 2;
fig. 4 is a schematic structural view of a driver information collection subsystem in embodiment 2;
fig. 5 is a schematic structural view of an acoustic information collection subsystem in embodiment 2;
fig. 6 is a schematic structural view of an image information acquisition subsystem in embodiment 2;
FIG. 7 is a schematic configuration diagram of a data synchronization and processing subsystem in embodiment 2;
FIG. 8 is a schematic configuration diagram of a test evaluation subsystem in example 2;
fig. 9 is a schematic structural diagram of an electronic device provided in embodiment 3.
Detailed Description
The following description of the exemplary embodiments of the present application, taken in conjunction with the accompanying drawings, includes various details of the embodiments of the application for the understanding of the same, which are to be considered exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present application. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
Example 1
Fig. 1 is a flowchart of a testing method for a driver status monitoring product according to this embodiment, and this embodiment is suitable for testing the monitoring accuracy and timeliness of the driver status monitoring product. The method may be performed by a test system of a driver condition monitoring product, which may be constituted by software and/or hardware, and is generally integrated in an electronic device.
Referring to fig. 1, the test method of the driver condition monitoring product includes the following steps:
and S110, acquiring vehicle running data, vehicle position data, objective physiological data of a driver and subjective physiological data of the driver, and carrying out data time synchronization and normalization processing on the data.
Preferably, the vehicle running data (shown in table 1) includes: standard deviation of positive acceleration, cumulative proportion of positive acceleration, acceleration over 2m/s2The duration and the acceleration of the reaction are less than-3 m/s2The duration and the acceleration of (2) exceed 3m/s2The time length, the highest positive acceleration average value of unit time, the negative acceleration standard deviation, the negative acceleration cumulative proportion and the acceleration exceeding 2m/s2The number of times and the acceleration of (2) exceed 3m/s2The number of times, the average value of the highest speed per unit time, and the acceleration of less than-3 m/s2The number of times of (c);
the vehicle position data (shown in table 2) includes: the standard deviation of the distance between the right edge of the vehicle and the right lane line, the sum of times that the left edge or the right edge of the vehicle exceeds the lane edge by 0.3m, and the sum of time lengths that the left edge or the right edge of the vehicle exceeds the lane edge by 0.3 m;
the driver objective physiological data (shown in table 3) includes: the blink frequency in 1 minute, the eye jump frequency in 1 minute, the target interest area fixation frequency, the target interest area fixation time, the delta brain wave relative power ratio and the beta brain wave relative power ratio;
the driver subjective physiological data comprises: the fatigue degree of the driver fed back after the training of the karolins hypersomnia method.
The vehicle driving data is calculated according to the sampling interval of the existing commonly used test vehicle information acquisition system of 0.05s and the calculation interval (1200 pieces) of 1 minute. Every 1 minute after the driver is trained by the carroll's somnolence method, the fatigue degree F of the driver is fed back by the driver1 KSSThe fatigue ratings are shown in table 4.
TABLE 1
TABLE 2
TABLE 3
TABLE 4
The data time synchronization and normalization processing may be implemented in the field, which is not particularly limited in this embodiment. For example, the time synchronization adopts GPS time, the normalization adopts linear normalization, and the time synchronization and normalization are realized through a DEWE-43 data collector.
And S120, inputting the processed vehicle driving data, vehicle position data, objective physiological data of the driver and subjective physiological data of the driver into a multi-dimensional dangerous driving model, and determining the occurrence time of dangerous driving behaviors.
Preferably, the multidimensional dangerous driving model is determined in the following manner:
determining first weights of all indexes in vehicle driving data, vehicle position data, driver objective physiological data and driver subjective physiological data by adopting an analytic hierarchy process;
determining second weights of all indexes in the vehicle driving data, the vehicle position data, the driver objective physiological data and the driver subjective physiological data by adopting an entropy weight method;
determining a weight matrix according to the first weight, the second weight and a comprehensive integration weighting method;
and determining a multi-dimensional dangerous driving model according to the weight matrix, the processed vehicle driving data, the processed vehicle position data, the processed objective driver physiological data and the processed subjective driver physiological data.
The multidimensional dangerous driving model is determined according to the weight matrix and processed data. The comprehensive integrated weighting method is a comprehensive method for determining index weight by combining an analytic hierarchy process and an entropy weight process according to different preference coefficients.
The comprehensive integrated weighting method model and the weight calculation mode are shown as follows:
wherein, beta1、β2Respectively are an analytic hierarchy process weight coefficient and an entropy weight coefficient, omega is the weight calculated by a comprehensive integrated weighting method, omegaiWhen i is 1, ω is1For the weights calculated by the analytic hierarchy process, when i is 2, ω2Weights calculated for the entropy weight method.
The weights of the indexes can be obtained through the formula, and then a weight matrix (shown as the following formula) is obtained:
preferably, the multidimensional dangerous driving model is
Wherein, KdIn order to be a coefficient of dangerous driving,
as the weight of the vehicle travel data,
for the processed vehicle-running data,
as a weight of the vehicle position data,
for the purpose of the processed vehicle position data,
the objective physiological data weight is given to the driver,
for objective driver physiological data after processing, omegasFor driver subjective physiological data weight, LsThe processed driver subjective physiological data is obtained.
And when the calculated dangerous driving coefficient is higher than a preset dangerous driving coefficient threshold value, the moment corresponding to the dangerous driving coefficient is the moment when the dangerous driving behavior occurs.
And S130, determining the alarm time of the tested product according to the alarm image information and the alarm sound information of the tested product.
The alarm image information refers to a vehicle meter data image and a driver posture image when an alarm occurs. The alarm sound information is alarm sound data when an alarm occurs, and includes an alarm sound start time.
Optionally, the alarm time of the tested product is determined according to the alarm image occurrence time information and the alarm sound occurrence time information of the tested product.
And S140, determining alarm response time according to the dangerous driving behavior occurrence time and the alarm time of the tested product.
Specifically, the alarm response time is the alarm time of the tested product-the dangerous driving behavior occurrence time.
S150, obtaining the alarm response time of a plurality of drivers in driving under different fatigue degrees, and determining an alarm response time set. In actual test, multiple tests of multiple drivers under different fatigue degrees should be performed on one product, so that the accuracy of test results can be improved as much as possible, and the monitoring performance of the product is better reflected.
And S160, determining the numerical value of the test evaluation index according to the alarm response time set.
Preferably, the test evaluation index includes: accuracy, positive rate, and average response time. The calculation method of the accuracy, the positive detection rate, and the average response time may be implemented in the field, and this embodiment is not particularly limited, for example: the positive rate is the ratio of the number of detected real events to the total number of detected events.
The data sources of the testing method of the driver state monitoring product are four dimensions of vehicle driving data, vehicle position data, objective physiological data of the driver and subjective physiological data of the driver, and the evaluation is carried out through a multi-dimensional dangerous driving model, so that the objectivity of the testing method is improved to a greater extent, and the defect of strong subjective judgment of the existing testing method can be effectively overcome.
The testing method can be applied to driver state monitoring products for monitoring the vehicle running state and the physiological state of the driver, and can effectively overcome the defects that the existing main testing method only can test the products of the driver physiological state monitoring technical route and has narrow application range.
The testing method is combined with the current situation of domestic and foreign standard research, can realize continuous and integral performance evaluation on driver monitoring products, and effectively overcomes the defect that the existing testing method can only evaluate by items.
Further, unlike the continuity and integrity system performance test described above, for a single behavior test item such as prescribing closed-eye and wearing infrared blocking sunglasses, the test can be performed in accordance with steps S130 to S160, with the time of occurrence of the dangerous driving behavior being the start time of the behavior of the item.
Example 2
Referring to fig. 2, the present embodiment provides a test system of a driver status monitoring product, including:
the vehicle information acquisition subsystem 101 is used for acquiring vehicle running data and vehicle position data;
the driver information acquisition subsystem 102 is used for acquiring objective physiological data and subjective physiological data of a driver;
the data synchronization and processing subsystem 103 is used for carrying out data time synchronization and normalization processing on the data;
an acoustic information collection subsystem 104 for collecting alarm sound information;
an image information acquisition subsystem 105 for acquiring alarm image information;
the test evaluation subsystem 106 is used for inputting the processed vehicle driving data, vehicle position data, objective driver physiological data and subjective driver physiological data into a multi-dimensional dangerous driving model and determining the occurrence time of dangerous driving behaviors; determining the alarm time of the tested product according to the alarm image information and the alarm sound information of the tested product; determining alarm response time according to the dangerous driving behavior occurrence time and the alarm time of the tested product; acquiring the alarm response time of a plurality of drivers in driving under different fatigue degrees, and determining an alarm response time set; and determining the numerical value of the test evaluation index according to the alarm response time set.
Further, as shown in fig. 3, the vehicle information collecting subsystem 101 includes a first vehicle-mounted storage and communication module 1011, and a vehicle speed data collecting module 1012, a brake data collecting module 1013, an accelerator data collecting module 1014, a steering data collecting module 1015, a lane information collecting module 1016, a vehicle position information collecting module 1017 and a position data comparing module 1018 which are respectively connected to the first vehicle-mounted storage and communication module 1011;
further, as shown in fig. 4, the driver information collecting subsystem 102 includes a second on-board storage and communication module 1021, and an electroencephalogram information collecting module 1022, a pupil information collecting module 1023, and a subjective physiological data input module 1024 respectively connected to the second on-board storage and communication module 1021.
Further, as shown in fig. 5, the acoustic information collection subsystem 104 includes a sound data collection module 1041 and a third vehicle storage and communication module 1042, which are connected to each other.
Further, as shown in fig. 6, the image information collecting subsystem 105 includes a fourth on-board storage and communication module 1051, and a meter data image collecting module 1052 and a driver attitude data collecting module 1053 respectively connected to the fourth on-board storage and communication module 1051.
Further, as shown in fig. 7, the data synchronization and processing subsystem 103 includes a first data receiving module 1031, a data time synchronization module 1032 and a data preprocessing module 1033, which are connected in sequence; the first data receiving module 1031 is further connected to the first vehicle-mounted storage and communication module 1011, the second vehicle-mounted storage and communication module 1021, the third vehicle-mounted storage and communication module 1042, and the fourth vehicle-mounted storage and communication module 1051, respectively.
Further, as shown in fig. 8, the test evaluation subsystem 106 includes a second data receiving module 1061, a dangerous driving behavior occurrence time extracting module 1062, an alarm time extracting module 1063, and an evaluation index value output module 1064, where the dangerous driving behavior occurrence time extracting module 1062 and the alarm time extracting module 1063 are both connected to the second data receiving module 1061, and the dangerous driving behavior occurrence time extracting module 1062 and the alarm time extracting module 1063 are also both connected to the evaluation index value output module 1064; the second data receiving module 1061 is also connected to the data preprocessing module 1033.
Example 3
As shown in fig. 9, the present embodiment provides an electronic apparatus including:
at least one processor; and
a memory communicatively coupled to at least one of the processors; wherein the content of the first and second substances,
the memory stores instructions executable by at least one of the processors to enable the at least one of the processors to perform the method described above. The at least one processor in the electronic device is capable of performing the above method and thus has at least the same advantages as the above method.
Optionally, the electronic device further includes an interface for connecting the components, including a high-speed interface and a low-speed interface. The various components are interconnected using different buses and may be mounted on a common motherboard or in other manners as desired. The processor may process instructions for execution within the electronic device, including instructions stored in or on the memory to display Graphical information for a GUI (Graphical User Interface) on an external input/output device, such as a display device coupled to the Interface. In other embodiments, multiple processors and/or multiple buses may be used, along with multiple memories and multiple memories, as desired. Also, multiple electronic devices may be connected, with each device providing portions of the necessary operations (e.g., as a server array, a group of blade servers, or a multi-processor system). Fig. 9 illustrates an example of a processor 201.
The memory 202 is a computer-readable storage medium for storing software programs, computer-executable programs, and modules, such as program instructions/modules corresponding to the testing method of the driver state monitoring product in the embodiment of the present invention. The processor 201 executes various functional applications and data processing of the device by executing software programs, instructions and modules stored in the memory 202, that is, the test method of the driver state monitoring product described above is realized.
The memory 202 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the terminal, and the like. Further, the memory 202 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, the memory 202 may further include memory located remotely from the processor 201, which may be connected to the device over a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The electronic device may further include: an input device 203 and an output device 204. The processor 201, the memory 202, the input device 203 and the output device 204 may be connected by a bus or other means, and the bus connection is exemplified in fig. 9.
The input device 203 may receive input numeric or character information, and the output device 204 may include a display device, an auxiliary lighting device (e.g., an LED), a tactile feedback device (e.g., a vibration motor), and the like. The display device may include, but is not limited to, a Liquid Crystal Display (LCD), a Light Emitting Diode (LED) display, and a plasma display. In some implementations, the display device can be a touch screen.
Example 4
The present embodiment provides a medium having stored thereon computer instructions for causing the computer to perform the method described above. The computer instructions on the medium for causing a computer to perform the method described above thus have at least the same advantages as the method described above.
The medium of the present invention may take the form of any combination of one or more computer-readable media. The medium may be a computer readable signal medium or a computer readable storage medium. The medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the medium include: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF (Radio Frequency), etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, or the like, as well as conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
It should be understood that various forms of the flows shown above, reordering, adding or deleting steps, may be used. For example, the steps described in the present application may be executed in parallel, sequentially, or in different orders, as long as the desired results of the technical solutions disclosed in the present application can be achieved, and the present invention is not limited herein.
The above-described embodiments should not be construed as limiting the scope of the present application. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (10)
1. A method of testing a driver condition monitoring product, comprising:
acquiring vehicle running data, vehicle position data, driver objective physiological data and driver subjective physiological data, and performing data time synchronization and normalization processing on the data;
inputting the processed vehicle driving data, vehicle position data, objective driver physiological data and subjective driver physiological data into a multi-dimensional dangerous driving model, and determining the occurrence time of dangerous driving behaviors;
determining the alarm time of the tested product according to the alarm image information and the alarm sound information of the tested product;
determining alarm response time according to the dangerous driving behavior occurrence time and the alarm time of the tested product;
acquiring the alarm response time of a plurality of drivers in driving under different fatigue degrees, and determining an alarm response time set;
and determining the numerical value of the test evaluation index according to the alarm response time set.
2. The method for testing a driver status monitoring product according to claim 1, further comprising:
determining first weights of all indexes in vehicle driving data, vehicle position data, driver objective physiological data and driver subjective physiological data by adopting an analytic hierarchy process;
determining second weights of all indexes in the vehicle driving data, the vehicle position data, the driver objective physiological data and the driver subjective physiological data by adopting an entropy weight method;
determining a weight matrix according to the first weight, the second weight and a comprehensive integration weighting method;
and determining a multi-dimensional dangerous driving model according to the weight matrix, the processed vehicle driving data, the processed vehicle position data, the processed objective driver physiological data and the processed subjective driver physiological data.
3. The method for testing a driver status monitoring product according to claim 2, wherein the vehicle travel data includes: standard deviation of positive acceleration, cumulative proportion of positive acceleration, acceleration over 2m/s2The duration and the acceleration of the reaction are less than-3 m/s2The duration and the acceleration of (2) exceed 3m/s2The time length, the highest positive acceleration average value of unit time, the negative acceleration standard deviation, the negative acceleration cumulative proportion and the acceleration exceeding 2m/s2The number of times and the acceleration of (2) exceed 3m/s2The number of times, the average value of the highest speed per unit time, and the acceleration of less than-3 m/s2The number of times of (c);
the vehicle position data includes: the standard deviation of the distance between the right edge of the vehicle and the right lane line, the sum of times that the left edge or the right edge of the vehicle exceeds the lane edge by 0.3m, and the sum of time lengths that the left edge or the right edge of the vehicle exceeds the lane edge by 0.3 m;
the driver objective physiological data includes: the blink frequency in 1 minute, the eye jump frequency in 1 minute, the target interest area fixation frequency, the target interest area fixation time, the delta brain wave relative power ratio and the beta brain wave relative power ratio;
the driver subjective physiological data comprises: the fatigue degree of the driver fed back after the training of the karolins hypersomnia method.
4. The method for testing driver status monitoring products according to claim 3, wherein the multidimensional dangerous driving model is
Wherein, KdIn order to be a coefficient of dangerous driving,
as the weight of the vehicle travel data,
for the processed vehicle-running data,
as a weight of the vehicle position data,
for the purpose of the processed vehicle position data,
the objective physiological data weight is given to the driver,
for objective driver physiological data after processing, omegasFor driver subjective physiological data weight, LsThe processed driver subjective physiological data is obtained.
5. The method for testing a driver status monitoring product according to claim 1, wherein the step of inputting the processed vehicle driving data, vehicle position data, objective driver physiological data and subjective driver physiological data into a multidimensional dangerous driving model, and the step of determining the dangerous driving behavior occurrence time comprises:
inputting the processed vehicle driving data, vehicle position data, objective driver physiological data and subjective driver physiological data into a multi-dimensional dangerous driving model to determine a dangerous driving coefficient;
and determining the dangerous driving behavior occurrence moment according to the dangerous driving coefficient and a preset dangerous driving coefficient threshold value.
6. The method for testing a driver status monitoring product according to any one of claims 1 to 5, wherein the test evaluation index includes: accuracy, positive rate, and average response time.
7. A test system for a driver condition monitoring product, comprising:
the vehicle information acquisition subsystem is used for acquiring vehicle running data and vehicle position data;
the driver information acquisition subsystem is used for acquiring objective physiological data and subjective physiological data of a driver;
the data synchronization and processing subsystem is used for carrying out data time synchronization and normalization processing on the data;
the acoustic information acquisition subsystem is used for acquiring alarm sound information;
the image information acquisition subsystem is used for acquiring alarm image information;
the test evaluation subsystem is used for inputting the processed vehicle driving data, vehicle position data, objective driver physiological data and subjective driver physiological data into a multi-dimensional dangerous driving model and determining the occurrence time of dangerous driving behaviors; determining the alarm time of the tested product according to the alarm image information and the alarm sound information of the tested product; determining alarm response time according to the dangerous driving behavior occurrence time and the alarm time of the tested product; acquiring the alarm response time of a plurality of drivers in driving under different fatigue degrees, and determining an alarm response time set; and determining the numerical value of the test evaluation index according to the alarm response time set.
8. The system for testing a driver status monitoring product according to claim 7, wherein the vehicle information collection subsystem comprises a first vehicle-mounted storage and communication module, and a vehicle speed data collection module, a brake data collection module, a throttle data collection module, a steering data collection module, a lane information collection module, a vehicle position information collection module and a position data comparison module which are respectively connected with the first vehicle-mounted storage and communication module;
the driver information acquisition subsystem comprises a second vehicle-mounted storage and communication module, and an electroencephalogram information acquisition module, a pupil information acquisition module and a subjective physiological data input module which are respectively connected with the second vehicle-mounted storage and communication module;
the acoustic information acquisition subsystem comprises a sound data acquisition module and a third vehicle-mounted storage and communication module which are connected with each other;
the image information acquisition subsystem comprises a fourth vehicle-mounted storage and communication module, and an instrument data image acquisition module and a driver posture data acquisition module which are respectively connected with the fourth vehicle-mounted storage and communication module;
the data synchronization and processing subsystem comprises a first data receiving module, a data time synchronization module and a data preprocessing module which are connected in sequence; the first data receiving module is also respectively connected with the first vehicle-mounted storage and communication module, the second vehicle-mounted storage and communication module, the third vehicle-mounted storage and communication module and the fourth vehicle-mounted storage and communication module;
the test evaluation subsystem comprises a second data receiving module, a dangerous driving behavior occurrence time extracting module, an alarm time extracting module and an evaluation index value output module, wherein the dangerous driving behavior occurrence time extracting module and the alarm time extracting module are connected with the second data receiving module, and the dangerous driving behavior occurrence time extracting module and the alarm time extracting module are also connected with the evaluation index value output module; the second data receiving module is also connected with the data preprocessing module.
9. An electronic device, comprising:
at least one processor, and a memory communicatively coupled to at least one of the processors;
wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-6.
10. A medium having stored thereon computer instructions for causing a computer to perform the method of any one of claims 1-6.
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