Driver state monitoring method, electronic equipment and storage medium

By monitoring driving environment and vehicle indicator information, the system can determine the driver's condition and provide reminders or controls, thus solving the problem of driver fatigue affecting safety and achieving higher detection accuracy and safety.

CN120942337APending Publication Date: 2025-11-14ECARX (HUBEI) TECHCO LTD
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Patent Information

Application Number
CN202510954542.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-07-11
Publication Date
2025-11-14

AI Technical Summary

Technical Problem

During autonomous or intelligent driving, drivers are prone to fatigue, lethargy, and other mental states, which affect driving safety. Furthermore, existing system reminders and warnings are easily bypassed by drivers.

Method used

By monitoring changes in the driving environment and preset driving indicators, the system determines whether the driver's condition meets the requirements. If not, it provides reminders or controls the vehicle to slow down and stop, including measures such as seat vibration, playing audio, displaying icons, and controlling the windshield wipers.

Benefits of technology

It improves the accuracy of driving status detection, ensures driver focus, and enhances vehicle driving safety and the stability of system alerts.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention provides a driver state monitoring method, electronic equipment and a storage medium, and the method comprises the steps: determining preset driving index information of a target vehicle in response to the change information of a detected driving environment; if the preset driving index information is not matched with the change information of the driving environment, determining that the state of the driver does not meet the requirement; if it is determined that the driving state of the driver does not meet the requirement, the driver is reminded. According to the technical scheme, the purpose of determining the driver state without depending on the driver image is achieved, the detection accuracy of the driving state is improved, the safety of vehicle driving is improved, meanwhile, the driver can be prevented from taking some measures to prevent the system from reminding and alarming, and the reminding and alarming stability of the system is improved.
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Description

Technical Field

[0001] This application relates to the field of driver condition monitoring technology, specifically to a driver condition monitoring method, electronic device, and storage medium. Background Technology

[0002] With the increasing pace and pressure of life, more and more drivers are prone to fatigue, lethargy, and slackness when driving autonomously or in intelligent driving mode, which seriously affects driving safety.

[0003] In view of the above, this application is hereby submitted. Summary of the Invention

[0004] This application aims to provide a driver state monitoring method, electronic device, and storage medium, which achieves the goal of determining the driver state without relying on driver images, improves the accuracy of driving state detection, helps to improve vehicle driving safety, and can also prevent the driver from taking measures to block system reminders and alarms, thereby improving the stability of system reminders and alarms.

[0005] In a first aspect, embodiments of this application provide a driver status monitoring method, including:

[0006] In response to the detection of changes in the driving environment, the preset driving index information of the target vehicle is determined;

[0007] The driver's condition is determined based on the preset driving indicator information and the changes in the driving environment.

[0008] According to the technical solution provided in the embodiments of this application, optionally, the step of determining the preset driving index information of the target vehicle in response to detecting changes in the driving environment includes:

[0009] When the target vehicle is in intelligent driving mode, in response to the detection of changes in the driving environment, the preset driving index information of the target vehicle is determined.

[0010] According to the technical solution provided in the embodiments of this application, optionally, the step of determining whether the driver's state meets the requirements based on the preset driving indicator information and the change information of the driving environment includes:

[0011] If the preset driving indicator information does not match the change information of the driving environment, it is determined that the driver's state does not meet the requirements.

[0012] Optionally, the technical solution provided in the embodiments of this application may also include:

[0013] If the driver's condition is determined to be unsatisfactory, the driver will be reminded.

[0014] According to the technical solution provided in the embodiments of this application, optionally, the preset driving index information includes the change in vehicle speed;

[0015] The determination of the preset driving index information of the target vehicle includes:

[0016] The vehicle speed data at a target time is acquired from a vehicle speed sensor or an onboard communication bus, and the change in vehicle speed is determined based on the speed data. The target time is determined based on the time when information about the change in the driving environment is detected.

[0017] According to the technical solution provided in the embodiments of this application, optionally, the change information of the driving environment includes one or more of the following: the visibility of the air decreases to a first preset value, the rainfall increases to a second preset value, the oscillation speed of the windshield wipers of the target vehicle increases to a third preset value, entering a construction section, entering a congested section, and entering a speed-limited section.

[0018] According to the technical solution provided in the embodiments of this application, optionally, determining that the driver's state does not meet the requirements if the preset driving indicator information does not match the change information of the driving environment includes:

[0019] If the change in vehicle speed indicates an increase in vehicle speed, or the decrease in vehicle speed does not reach the set value, then it is determined that the driver's condition does not meet the requirements.

[0020] According to the technical solution provided in the embodiments of this application, optionally, the reminder to the driver includes one or more of the following methods:

[0021] Control the vibration of the driver's seat;

[0022] Play preset audio;

[0023] Display preset icons;

[0024] Control the windshield wiper swing.

[0025] Secondly, embodiments of this application also provide a driver status monitoring device, comprising:

[0026] The first determining module is used to determine the preset driving index information of the target vehicle in response to the detection of changes in the driving environment.

[0027] The second determining module is used to determine whether the driver's state meets the requirements based on the preset driving index information and the change information of the driving environment.

[0028] Thirdly, embodiments of this application also provide an electronic device, the electronic device comprising:

[0029] Processor and memory;

[0030] The processor executes the steps of the driver state monitoring method as described in any embodiment by calling programs or instructions stored in the memory.

[0031] Thirdly, embodiments of this application also provide a computer-readable storage medium storing a program or instructions that cause a computer to perform the steps of the driver state monitoring method as described in any embodiment.

[0032] In summary, this application proposes a driver state monitoring method that determines whether the driver's state does not meet the requirements by matching the information on changes in the driving environment with the vehicle's preset driving indicators. This achieves the goal of determining the driver's state without relying on driver images, improves the accuracy of driving state detection, helps improve vehicle driving safety, and can also prevent the driver from taking measures to block system reminders and alarms, thus improving the stability of system reminders and alarms. Attached Figure Description

[0033] Figure 1 This is a flowchart of a driver status monitoring method provided in an embodiment of this application;

[0034] Figure 2 This is a flowchart of another driver status monitoring method provided in the embodiments of this application;

[0035] Figure 3 This is a schematic diagram of the structure of a driver status monitoring device provided in an embodiment of this application;

[0036] Figure 4 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0037] The present application will now be described in further detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and not intended to limit it. Furthermore, it should be noted that, for ease of description, only the parts relevant to the invention are shown in the accompanying drawings.

[0038] It should be noted that, unless otherwise specified, the embodiments and features described in this application can be combined with each other. This application will now be described in detail with reference to the accompanying drawings and embodiments.

[0039] With the widespread adoption of intelligent driving technology, more and more drivers are enjoying the numerous conveniences it brings. Intelligent driving technology can reduce the driver's workload to some extent, such as enabling automatic following and lane keeping on highways, allowing drivers to relax a bit during long drives. However, current intelligent driving is not the same as fully intelligent driving. Although intelligent driving technology is constantly developing and progressing, it still has certain limitations and cannot yet cope with all complex road conditions and unexpected situations. Therefore, during intelligent driving, drivers still need to remain vigilant and closely monitor the vehicle's operating status at all times.

[0040] However, some drivers, due to insufficient understanding of intelligent driving technology, rely entirely on it for convenience, resulting in dangerous behaviors such as falling asleep or taking their hands off the steering wheel. To address this issue, numerous monitoring solutions have been designed to promptly alert and warn drivers when the system detects driver inattention or improper driving actions.

[0041] However, in order to prevent the system from issuing alerts and warnings, some drivers use auxiliary devices to simulate the state of a human hand holding the steering wheel, or even obstruct the camera responsible for capturing the driver's face, thus preventing the system from recognizing the driver and preventing the system from issuing alerts and warnings. This application provides a solution to this problem.

[0042] Figure 1 This is a flowchart of a driver status monitoring method provided in an embodiment of this application. See also... Figure 1 The driver condition monitoring method specifically includes the following steps:

[0043] S110, In response to the detection of changes in the driving environment, determine the preset driving index information of the target vehicle.

[0044] Information regarding changes in the driving environment indicates that the vehicle needs to slow down. For example, a sudden increase in rainfall leading to a sudden decrease in visibility would require the vehicle to immediately slow down to ensure driving safety. Based on this, when changes in the driving environment are detected, the target vehicle's preset driving indicators (such as changes in speed) are determined. If the changes in the driving environment do not match the vehicle's preset driving indicators (e.g., a sudden decrease in visibility without a decrease in speed), it is determined that the driver's driving state is not focused enough and does not meet requirements, posing a driving safety risk. In such cases, timely reminders and warnings should be issued to encourage the driver to increase their focus and drive attentively.

[0045] Optionally, the information about changes in the driving environment can also include information that indicates the need to slow down the vehicle, such as a sudden deterioration in road surface smoothness, a sudden deterioration in road traffic flow, or the appearance of water accumulation ahead.

[0046] For example, the changes in the driving environment include one or more of the following: visibility decreases to a first preset value, rainfall increases to a second preset value, the windshield wiper speed of the target vehicle (referring to automatic windshield wipers, whose oscillation speed automatically increases with increasing rainfall) increases to a third preset value, entering a construction zone, entering a congested zone, or entering a speed-limited zone. The first, second, and third preset values ​​can be manually set based on experience.

[0047] Visibility can be determined through image recognition or by real-time communication with a meteorological platform, and rainfall data can also be obtained from the meteorological platform. Construction zones, congested zones, and speed-limited zones can be identified using high-precision maps.

[0048] The preset driving index information of the target vehicle may specifically include vehicle speed, change in vehicle speed, acceleration, and change in acceleration.

[0049] For example, the preset driving index information includes the change in vehicle speed; determining the preset driving index information of the target vehicle includes: acquiring the vehicle speed data of the target vehicle at a target time from a vehicle speed sensor or an on-board communication bus, and determining the change in vehicle speed based on the vehicle speed data.

[0050] The target time is determined based on the time at which the change in the driving environment information is detected. For example, if the time when the change in the driving environment information is detected is time t2, then time t1, which is adjacent to time t2 and preceding time t2, and time t2 are determined as the target time. The change in vehicle speed is determined based on the vehicle speed at time t2 and the vehicle speed at time t1.

[0051] Alternatively, the target time can be defined as time t1, which is adjacent to but before time t2, and time t3, which is adjacent to but after time t2. The change in vehicle speed is determined based on the vehicle speed at time t3 and the vehicle speed at time t1. The rationale for this setting is to account for the delay in driver control, thus the change in vehicle speed is also delayed, thereby improving the accuracy of driver status monitoring.

[0052] S120. Determine whether the driver's state meets the requirements based on the preset driving index information and the change information of the driving environment.

[0053] The driver's state specifically includes driving state and take-over state. When the driver is autonomously driving the vehicle, the driver's state refers to driving state; when the driver sets the vehicle to use intelligent driving mode, the driver's state refers to take-over state. Both driving state and take-over state refer to the driver's level of concentration.

[0054] In some implementations, if the preset driving indicator information does not match the change information of the driving environment, the driver's state is determined to be unsatisfactory.

[0055] Furthermore, the step of determining that the driver's driving state does not meet the requirements if the preset driving indicator information does not match the change information of the driving environment includes:

[0056] If the change in vehicle speed indicates an increase in vehicle speed, or the decrease in vehicle speed does not reach the set value, then it is determined that the preset driving indicator information does not match the change information of the driving environment, and the driver's driving state does not meet the requirements.

[0057] For example, if the driving environment changes and information indicates a sudden increase in rainfall or a sudden decrease in visibility, the vehicle should immediately slow down to ensure driving safety. If no signal of speed reduction is detected within a short period, it indicates that the driver's driving state is not focused enough and does not meet requirements, posing a driving safety risk. In such cases, timely reminders and warnings should be given to encourage the driver to improve their focus and drive attentively.

[0058] Furthermore, in some implementations, if it is determined that the driver's driving status does not meet the requirements, the driver is reminded, or the vehicle is forcibly slowed down to the set speed, or the vehicle is controlled to pull over to the side of the road.

[0059] The reminder to the driver includes, but is not limited to, one or more of the following methods:

[0060] Control the vibration of the driver's seat;

[0061] Play preset audio;

[0062] Display preset icons;

[0063] Control the windshield wiper swing.

[0064] The driver status monitoring method provided in this application combines vehicle speed and sudden weather changes to determine whether the driver's status meets the requirements.

[0065] In some implementations, when the vehicle is in intelligent driving mode, the solution provided in this embodiment is used to monitor whether the driver is slack off and completely relies on intelligent driving. When the driver is detected to be slack off, a timely reminder is given to ensure driving safety.

[0066] For example, when the target vehicle is in intelligent driving mode, steps S110-S120 are executed, i.e., in response to the detection of changes in the driving environment, the preset driving index information of the target vehicle is determined. Based on the preset driving index information and the changes in the driving environment, it is determined whether the driver's state meets the requirements; if it is determined that the driver's state does not meet the requirements, the driver is reminded. Here, the intelligent driving mode can refer to Level 2 or lower driver assistance technology as required by current national standards, or Level 3 or higher autonomous driving technology as required by current national standards. Specifically, Level 0 intelligent driving is called emergency assistance, which can provide prompts or briefly intervene in vehicle control to assist the driver in avoiding danger, but does not have the function of target and event detection and response (e.g., cruise control, electronic stability control, etc.). Level 1 intelligent driving is called partial driving assistance, which requires the driver and the intelligent driving system to jointly perform all dynamic driving tasks, and to supervise the behavior of the intelligent driving system and perform appropriate responses or operations (e.g., lane centering control, adaptive cruise control, etc.). Level 2 intelligent driving is called combined driving assistance, which requires the driver and the intelligent driving system to jointly perform all dynamic driving tasks, and to supervise the behavior of the intelligent driving system and perform appropriate responses or operations. Level 3 intelligent driving, also known as conditional intelligent driving, involves the intelligent driving system performing all dynamic driving tasks under designed operating conditions. When these conditions are about to deteriorate, the system promptly sends an intervention request to the support user. If the support user does not respond, measures to mitigate vehicle risks are taken as appropriate. Level 4 intelligent driving, also known as highly intelligent driving, requires no user response to intervention requests; the system automatically reaches a state of minimum risk. Level 5 intelligent driving, also known as fully automated driving, requires no user response to intervention requests; the system automatically reaches a state of minimum risk. For details, refer to GB / T40429-202, "Classification of Driving Automation for Automobiles."

[0067] For example, refer to Figure 2 As shown, when the vehicle enters a rainstorm section, if the automatic wipers are detected to accelerate; or when the vehicle enters a foggy section, if reduced visibility is detected; the system will continue to determine whether the vehicle speed has decreased. If the vehicle speed has not decreased, the system will remind the driver to take over the vehicle and exit the intelligent driving mode.

[0068] Specifically, the first step is to determine whether the vehicle is currently in intelligent driving mode. This can be determined by reading the status signals related to intelligent driving mode from the vehicle's control system. If the determination result is that the vehicle is not in intelligent driving mode, then the subsequent series of detection and judgment processes do not need to be executed, and the system can temporarily disregard the relevant situation; if the determination result is that the vehicle is in intelligent driving mode, the system proceeds to the next detection process.

[0069] For example, two specific signal inputs are detected. One is the automatic wiper speed change signal, which monitors the automatic wiper speed status in real time. The system records the speed changes of the automatic wipers within a short period of time (e.g., a 10-second time interval). When the system detects that the automatic wipers accelerate to a higher speed within these 10 seconds, it indicates that the external environment may have changed, such as sudden rainfall or increased rainfall.

[0070] Another method is fog patch recognition. This involves using cameras installed on the vehicle to monitor the road environment in real time through image processing and recognition algorithms. When the camera detects fog patches and the algorithm calculates that visibility has decreased to 50 meters, it indicates a significant reduction in visibility, posing a certain safety risk.

[0071] After detecting the two specific signal inputs mentioned above, the system further detects changes in vehicle speed. It monitors vehicle speed in real time by reading data from the vehicle's speed sensor. It determines whether the vehicle has experienced a significant speed reduction, such as a decrease from 120 km / h to 100 km / h. If a significant speed reduction is detected, it indicates that the vehicle system may have already made adjustments based on environmental changes, and the system does not need to take further special measures. If the vehicle has not experienced a significant speed reduction, the system proceeds to the next step of the judgment process.

[0072] If a specific signal is detected and the vehicle does not significantly reduce speed, the system will determine that the user may not be focused on driving. For example, the user may not be paying attention to road conditions as required for safe driving when the vehicle encounters adverse conditions, and may continue to rely on the intelligent driving system to drive.

[0073] Once the system determines that the user is not focused on driving, it will immediately prompt the user to take over the vehicle and exit intelligent driving mode through multiple means. Specific prompts include: issuing a warning sound through the center console; emitting a loud warning sound through the vehicle's center console audio system to attract the user's attention; displaying a warning message on the vehicle's central control screen in a flashing red manner, providing a strong visual reminder to the user; and activating the seat's built-in vibration device to further alert the user, making them truly feel the presence of danger and prompting them to take over the vehicle as soon as possible.

[0074] This embodiment applies to scenarios where the vehicle has entered the navigation system and the intelligent driving mode has been activated. In actual driving, weather conditions are complex and changeable. When encountering sudden weather changes, this embodiment determines whether the vehicle speed changes based on the navigation system. Specifically, it monitors the vehicle speed data displayed by the navigation system before and after the sudden weather change to analyze whether the driver is not paying attention. If the navigation speed changes abnormally, it may indicate that the driver has performed actions that violate intelligent driving rules.

[0075] Based on the same inventive concept, and corresponding to any of the methods in the above embodiments, this application also provides a driver status monitoring device. (Reference) Figure 3 The driver state monitoring device includes: a first determining module 310, used to determine preset driving index information of the target vehicle in response to the detection of changes in driving environment information; and a second determining module 320, used to determine whether the driver's driving state meets the requirements based on the preset driving index information and the changes in driving environment information.

[0076] Furthermore, it also includes a reminder module, which is used to remind the driver if it is determined that the driver's driving condition does not meet the requirements.

[0077] Specifically, the first determining module 310 is used to: determine the preset driving index information of the target vehicle in response to the detection of changes in the driving environment when the target vehicle is in intelligent driving mode.

[0078] Furthermore, the preset driving index information includes the change in vehicle speed; the first determining module 310 is used to obtain the vehicle speed data of the target vehicle at the target time from the vehicle speed sensor, navigation application or vehicle communication bus, and determine the change in vehicle speed based on the vehicle speed data.

[0079] Furthermore, the target time is determined based on the time when information about changes in the driving environment is detected.

[0080] Furthermore, the information regarding changes in the driving environment includes one or more of the following: visibility of the air decreases to a first preset value, rainfall increases to a second preset value, the oscillation speed of the windshield wipers of the target vehicle increases to a third preset value, entering a construction zone, entering a congested zone, and entering a speed-limited zone.

[0081] Furthermore, the second determining module 320 is specifically used to: if the change in vehicle speed indicates an increase in vehicle speed, or the speed at which the vehicle speed decreases does not reach a set value, then determine that the preset driving index information does not match the change information in the driving environment, and the driver's driving state does not meet the requirements.

[0082] Furthermore, the alert module is used to: control the vibration of the driver's seat;

[0083] Play preset audio;

[0084] Display preset icons;

[0085] Control the windshield wiper swing.

[0086] For ease of description, the above devices are described in terms of function, divided into various modules. Of course, in implementing this application, the functions of each module can be implemented in one or more software and / or hardware.

[0087] The apparatus described above is used to implement the corresponding driver status monitoring method in any of the foregoing embodiments, and has the beneficial effects of the corresponding method embodiments, which will not be repeated here.

[0088] Figure 4 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. For example... Figure 4 As shown, the electronic device 500 includes one or more processors 501 and memory 502.

[0089] The processor 501 may be a central processing unit (CPU) or other form of processing unit with data processing capabilities and / or instruction execution capabilities, and may control other components in the electronic device 500 to perform desired functions.

[0090] The memory 502 may include one or more computer program products, which may include various forms of computer-readable storage media, such as volatile memory and / or non-volatile memory. The volatile memory may include, for example, random access memory (RAM) and / or cache memory. The non-volatile memory may include, for example, read-only memory (ROM), hard disk, flash memory, etc. One or more computer program instructions may be stored on the computer-readable storage medium, and the processor 501 may execute the program instructions to implement the driver state monitoring method of any embodiment of this application described above and / or other desired functions. Various contents such as initial extrinsic parameters and thresholds may also be stored in the computer-readable storage medium.

[0091] In one example, the electronic device 500 may further include an input device 503 and an output device 504, these components being interconnected via a bus system and / or other forms of connection mechanisms (not shown). The input device 503 may include, for example, a keyboard, a mouse, etc. The output device 504 may output various information to the outside, including warning messages, braking force, etc. The output device 504 may include, for example, a display, a speaker, a printer, and a communication network and its connected remote output devices, etc.

[0092] Of course, for the sake of simplicity, Figure 4 Only some of the components of the electronic device 500 relevant to this application are shown in this illustration; components such as buses, input / output interfaces, etc., are omitted. In addition, the electronic device 500 may include any other suitable components depending on the specific application.

[0093] In addition to the methods and devices described above, embodiments of this application may also be computer program products, which include computer program instructions that, when executed by a processor, cause the processor to perform the steps of the driver state monitoring method provided in any embodiment of this application.

[0094] The computer program product can be written in any combination of one or more programming languages ​​to perform the operations of the embodiments of this application. The programming languages ​​include object-oriented programming languages ​​such as Java and C++, as well as conventional procedural programming languages ​​such as C or similar languages. The program code can be executed entirely on the user's computing device, partially on the user's computing device, as a standalone software package, partially on the user's computing device and partially on a remote computing device, or entirely on a remote computing device or server.

[0095] Furthermore, embodiments of this application may also be computer-readable storage media storing computer program instructions thereon, which, when executed by a processor, cause the processor to perform the steps of the driver state monitoring method provided in any embodiment of this application.

[0096] The computer-readable storage medium may be any combination of one or more readable media. A readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of readable storage media (a non-exhaustive list) include: an electrical connection having one or more wires, a portable disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof.

[0097] It should be noted that the terminology used in this application is for the purpose of describing specific embodiments only and is not intended to limit the scope of this application. As shown in the specification and claims of this application, unless the context clearly indicates otherwise, words such as "a," "an," "an," and / or "the" do not specifically refer to the singular and may also include the plural. The terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, or apparatus. Without further limitations, an element defined by the phrase "comprising an..." does not exclude the presence of other identical elements in the process, method, or apparatus that includes said element.

[0098] It should also be noted that the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings, and are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation on this application. Unless otherwise expressly specified and limited, the terms "installed," "connected," "linked," etc., should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication between two elements. For those skilled in the art, the specific meaning of the above terms in this application can be understood according to the specific circumstances.

[0099] This document uses specific examples to illustrate the principles and implementation methods of this application. The descriptions of the above embodiments are only for the purpose of helping to understand the methods and core ideas of this application. The above descriptions are only preferred embodiments of this application. It should be noted that due to the limitations of written expression, while there are objectively infinite specific structures, those skilled in the art can make several improvements, modifications, or changes without departing from the principles of this invention, and can also combine the above technical features in an appropriate manner. These improvements, modifications, changes, or combinations, or the direct application of the inventive concept and technical solution to other situations without modification, should all be considered within the scope of protection of this application.

Claims

1. A method for monitoring driver status, characterized in that, include: In response to the detection of changes in the driving environment, the preset driving index information of the target vehicle is determined; The driver's condition is determined based on the preset driving indicator information and the changes in the driving environment.

2. The method according to claim 1, characterized in that, The step of determining preset driving index information of the target vehicle in response to detecting changes in the driving environment includes: When the target vehicle is in intelligent driving mode, in response to the detection of changes in the driving environment, the preset driving index information of the target vehicle is determined.

3. The method according to claim 1, characterized in that, The step of determining whether the driver's state meets the requirements based on the preset driving indicator information and the change information of the driving environment includes: If the preset driving indicator information does not match the change information of the driving environment, it is determined that the driver's state does not meet the requirements.

4. The method according to claim 3, characterized in that, Also includes: If the driver's condition is determined to be unsatisfactory, the driver will be reminded.

5. The method according to any one of claims 1-4, characterized in that, The preset driving indicator information includes the change in vehicle speed; The determination of the preset driving index information of the target vehicle includes: The vehicle speed data of the target vehicle at the target time is obtained from the vehicle speed sensor, navigation application, or vehicle communication bus, and the change in vehicle speed is determined based on the vehicle speed data.

6. The method according to claim 5, characterized in that, The target time is determined based on the time when information about changes in the driving environment is detected.

7. The method according to claim 5, characterized in that, The information regarding changes in the driving environment includes one or more of the following: visibility decreases to a first preset value, rainfall increases to a second preset value, the windshield wiper swing speed of the target vehicle increases to a third preset value, entering a construction zone, entering a congested zone, and entering a speed-limited zone.

8. The method according to claim 3, characterized in that, If the preset driving indicator information does not match the change information of the driving environment, the driver's state is determined to be unqualified, including: If the change in vehicle speed indicates an increase in vehicle speed, or the decrease in vehicle speed does not reach the set value, then it is determined that the preset driving indicator information does not match the change information of the driving environment, and the driver's state does not meet the requirements.

9. An electronic device, characterized in that, The electronic device includes: Processor and memory; The processor executes the steps of the driver state monitoring method as described in any one of claims 1 to 8 by calling the program or instructions stored in the memory.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a program or instructions that cause a computer to perform the steps of the driver state monitoring method as described in any one of claims 1 to 8.