Electronic rearview mirror display remote management method based on Internet of Things

Abstract

The invention provides an electronic rearview mirror display remote management method based on the Internet of Things. The method comprises the following steps that a basic user personal setting template is set according to electronic rearview mirror setting information, sensor information, display screen setting information and display mode data of a vehicle; according to the image data of the electronic rearview mirror on the outer side of the vehicle and the sensor detection data, driving scene environment characteristics are set; according to the image display data and the display mode use data of the display screen on the inner side of the vehicle, driving scene use features are set; according to the driving scene environment features and the corresponding environment information, and according to the driving scene use features, setting and correcting the basic user personal setting template; and the cloud server outputs the corrected basic user personal setting template and changes the basic user personal setting template used by the user. According to the method, the function shortcut operation setting and the display effect of the display screen can be adjusted according to user habits, and the operation convenience and the driving comfort are improved.

Description

Technical Field

[0001] This invention relates to the field of vehicle management technology, and in particular to a remote management method for electronic rearview mirror displays based on the Internet of Things. Background Technology

[0002] Currently, traditional car rearview mirrors are mainly optical, providing drivers with a view of the rear of the vehicle through mirror reflection. With the development of automotive electronics technology, streaming rearview mirrors are gradually being adopted. Streaming rearview mirrors use cameras and displays to replace traditional mirrors, providing a wider field of view and clearer images. Some streaming rearview mirrors also integrate driver assistance functions such as lane departure warning and blind spot monitoring.

[0003] Traditional optical rearview mirrors have limited visibility and are prone to blind spots, making it difficult for drivers to notice vehicles or obstacles behind them when changing lanes or reversing. They are also greatly affected by weather conditions; in rainy or foggy weather, the mirror surface is prone to fogging or water accumulation, affecting the clarity of the rear view. While early streaming rearview mirrors solved the visibility problem to some extent, they lacked personalization options. They typically only allowed for simple brightness and contrast adjustments and could not intelligently switch display modes and function layouts according to different driving scenarios, failing to meet users' personalized needs in various environments. Furthermore, most traditional rearview mirrors and early streaming rearview mirrors lacked remote management capabilities, preventing users from adjusting and optimizing rearview mirror settings outside the vehicle, and hindering personalized configuration management in vehicle-sharing or multi-user scenarios. Summary of the Invention

[0004] This invention provides a remote management method for electronic rearview mirror displays based on the Internet of Things. It can adjust the quick operation settings of functions and the display effect of the monitor according to user habits, and move the frequently used function entrances to an easy-to-operate position, thereby improving the convenience of operation and driving comfort.

[0005] The first aspect of this invention provides a remote management method for electronic rearview mirror displays based on the Internet of Things, comprising the following steps: Obtain the vehicle's electronic rearview mirror settings and sensor information, and obtain the vehicle's display screen settings and display mode data; Set a basic user personal settings template based on the vehicle's electronic rearview mirror settings, sensor information, display settings, and display mode data; Acquire image data and sensor detection data from the vehicle's exterior electronic rearview mirrors, and acquire image display data and display mode usage data from the vehicle's interior display screen; Based on image data and sensor detection data from the vehicle's exterior electronic rearview mirrors, driving scenario environmental characteristics are set; based on image display data and display mode usage data from the vehicle's interior display screen, driving scenario usage characteristics are set. Set up a cloud server to obtain environmental information corresponding to the characteristics of the driving scenario environment, and modify the basic user personal settings template according to the characteristics of the driving scenario environment and the corresponding environmental information; modify the basic user personal settings template according to the usage characteristics of the driving scenario. The cloud server outputs a revised basic user personal settings template, which is then used by the user to modify the basic user personal settings template.

[0006] Furthermore, the step of setting a basic user personal settings template based on the vehicle's electronic rearview mirror settings information, sensor information, display screen settings information, and display mode data includes the following steps: Obtain the brightness adjustment range and viewing angle from the electronic rearview mirror settings, the vehicle speed threshold and acceleration change range from the sensor information, and the resolution and refresh rate from the display settings, as well as the switching frequency of different scene modes from the display mode data. Weighting is assigned to the electronic rearview mirror settings and display screen settings, and the electronic rearview mirror settings and display screen settings are combined and calculated to form the initial parameter set of the basic user personal settings template; Based on the initial parameter set, a basic user personal settings template is constructed, including display parameters and functional layout. The display parameters include brightness, contrast and color mode, and the functional layout includes navigation information display position and driving assistance function display area division.

[0007] Furthermore, the step of setting driving scenario environmental features based on image data from the vehicle's exterior electronic rearview mirrors and sensor detection data includes the following steps: Real-time analysis of image data from the vehicle's external electronic rearview mirrors identifies road type, number of lanes, and traffic sign information; Extract vehicle speed, acceleration, steering angle, and distance to surrounding vehicles from sensor-detected data; The driving scenario environment characteristics are formed based on the combination of road type, number of lanes, traffic sign information, and vehicle driving parameters.

[0008] Furthermore, the step of setting driving scenario usage characteristics based on image display data and display mode usage data from the vehicle's interior display screen includes the following steps: Obtain the percentage of information display time in each display area of ​​the vehicle's interior display screen during different time intervals to determine the key areas of user attention; The display mode usage data includes the duration of mode switching operations, the number of switching operations, and the frequency of manual adjustment by the user. Based on user data characteristics of key areas and modes of use, set usage characteristics for driving scenarios.

[0009] Furthermore, the step of obtaining environmental information corresponding to the driving scenario environmental characteristics, and modifying the basic user personal settings template based on the driving scenario environmental characteristics and the corresponding environmental information, includes the following steps: By using a cloud-based environmental information database, environmental parameters that match the characteristics of the driving scenario environment can be retrieved, including optimal display brightness, recommended color contrast, environmental noise level, and weather warning information. Compare the displayed parameters in the basic user personal settings template with the retrieved environment parameters, and calculate the parameter difference value; If the difference exceeds the preset threshold, the basic user personal settings template will be corrected according to the environment adaptation algorithm.

[0010] Furthermore, the step of modifying the basic user personal settings template based on driving scenario usage characteristics includes the following steps: Based on the key areas of user focus in driving scenarios, adjust the display layout, increase the display area ratio of key areas, and optimize the information display hierarchy; Based on the frequency of mode switching operations and users' manual adjustment habits, the automatic switching conditions and transition effects of the display mode were reset; The shortcut settings for functions in the basic user personal settings template have been updated, and frequently used function entries have been moved to a more user-friendly location.

[0011] Furthermore, it also includes the following steps: The cloud server records and backs up the revised basic user personal settings template, and generates a version update log. When the vehicle connects to the cloud server, it automatically detects and pushes settings template updates, and users can choose to update immediately or schedule an update time. The updated settings template is applied automatically after the vehicle starts, while the previous version of the settings template is retained as a rollback option.

[0012] A second aspect of the present invention provides an Internet of Things-based streaming media rearview mirror remote management system, including a first computing unit for acquiring electronic rearview mirror setting information and sensor information of the vehicle, and acquiring display screen setting information and display mode data of the vehicle; The second calculation unit is used to set a basic user personal setting template based on the vehicle's electronic rearview mirror setting information, sensor information, display screen setting information, and display mode data; The third computing unit is used to acquire image data and sensor detection data from the vehicle's outer electronic rearview mirrors, and to acquire image display data and display mode usage data from the vehicle's inner display screen. The fourth calculation unit is used to set driving scene environment characteristics based on image data from the vehicle's exterior electronic rearview mirrors and sensor detection data; and to set driving scene usage characteristics based on image display data and display mode usage data from the vehicle's interior display screen. The fifth computing unit is used to set up the cloud server, obtain environmental information corresponding to the characteristics of the driving scenario environment, and modify the basic user personal settings template according to the characteristics of the driving scenario environment and the corresponding environmental information; and modify the basic user personal settings template according to the usage characteristics of the driving scenario. The sixth calculation unit is used to output the revised basic user personal settings template from the cloud server and modify the basic user personal settings template used by the user.

[0013] A third aspect of the present invention provides a computer device, comprising: Memory, transceiver, processor, and bus system; The memory is used to store programs; The processor is used to execute programs in the memory, including executing the methods described above; The bus system is used to connect the memory and the processor to enable communication between the memory and the processor.

[0014] A fourth aspect of the present invention provides a readable storage medium storing computer-readable instructions, characterized in that the computer-readable instructions, when executed by a processor, implement the steps of the method described above.

[0015] As can be seen from the above technical solutions, the present invention has the following advantages: This invention acquires setting information, sensor information, display screen setting information, and display mode data from vehicle electronic rearview mirrors to create a basic user-defined settings template that reflects the user's basic usage habits. It also identifies road type, number of lanes, traffic signs, and vehicle driving parameters by acquiring real-time image data and sensor detection data from the vehicle's outer electronic rearview mirrors, forming detailed driving scenario environmental characteristics. Simultaneously, it analyzes image display data and mode usage data from the vehicle's inner display screen to determine the user's key areas of focus and display mode preferences, constructing driving scenario usage characteristics.

[0016] Meanwhile, the cloud server obtains relevant environmental information based on the characteristics of the driving scenario, such as optimal display brightness and recommended color contrast, and compares it with the parameters in the user's personal settings template. If the difference exceeds a preset threshold, the system will correct the template according to the environmental adaptation algorithm to ensure that the rearview mirror display effect matches the current environment.

[0017] In addition, the system has revised the basic user personal settings template based on driving scenario usage characteristics. By adjusting the display layout, the display area of ​​key user focus areas has been increased, and the information display hierarchy has been optimized to make key information more prominent and easier for users to quickly access. At the same time, the automatic switching conditions and transition effects of the display mode have been reset, and the function shortcut operation settings have been adjusted according to user habits, moving frequently used function entrances to easily accessible locations, thus improving operational convenience and driving comfort.

[0018] Other advantages, objectives, and features of the invention will be set forth in part in the description which follows, and in part will be apparent to those skilled in the art from an examination of the following, or may be learned from the practice of the invention. Attached Figure Description

[0019] Figure 1 This is a flowchart of the method of the present invention. Detailed Implementation

[0020] The terms “first,” “second,” “third,” “fourth,” etc. (if present) in the specification and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms “comprising” and “corresponding to,” and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0021] Example 1 The implementation method in this embodiment can be implemented in a system, on a server, or on a terminal; no specific limitation is made. The method in this application will be described from the perspective of system implementation below. As shown in the figure, a remote management method for an electronic rearview mirror display based on the Internet of Things includes the following steps: Obtain the vehicle's electronic rearview mirror settings and sensor information, and obtain the vehicle's display screen settings and display mode data; Set a basic user personal settings template based on the vehicle's electronic rearview mirror settings, sensor information, display settings, and display mode data; Acquire image data and sensor detection data from the vehicle's exterior electronic rearview mirrors, and acquire image display data and display mode usage data from the vehicle's interior display screen; Based on image data and sensor detection data from the vehicle's exterior electronic rearview mirrors, driving scenario environmental characteristics are set; based on image display data and display mode usage data from the vehicle's interior display screen, driving scenario usage characteristics are set. Set up a cloud server to obtain environmental information corresponding to the characteristics of the driving scenario environment, and modify the basic user personal settings template according to the characteristics of the driving scenario environment and the corresponding environmental information; modify the basic user personal settings template according to the usage characteristics of the driving scenario. The cloud server outputs a revised basic user personal settings template, which is then used by the user to modify the basic user personal settings template.

[0022] First, obtain the vehicle's electronic rearview mirror settings (such as brightness and viewing angle) and sensor information (such as vehicle speed and acceleration), as well as display settings (such as resolution and refresh rate) and display mode data (such as the switching frequency of different scenarios), and set a basic user personal settings template based on this data.

[0023] Next, the system collects image data and sensor detection data from the vehicle's outer electronic rearview mirrors in real time, as well as image display data and mode usage data from the inner display screen. Based on the outer data, the system can identify road type, number of lanes, traffic sign information, and vehicle driving parameters, forming driving scenario environmental characteristics. Based on the inner data, the system determines user display habits, forming driving scenario usage characteristics.

[0024] The cloud server combines environmental information (such as optimal brightness and recommended contrast) and usage characteristics to modify the basic template, generate personalized settings, and push them to the vehicle. In this way, the display effect and functional layout of the streaming rearview mirror can be automatically optimized based on the current driving scenario and user habits, improving the user's driving experience.

[0025] Example 2 The difference between this embodiment and Embodiment 1 is that the step of setting the basic user personal settings template based on the vehicle's electronic rearview mirror settings information, sensor information, display screen settings information, and display mode data includes the following steps: Obtain the brightness adjustment range and viewing angle from the electronic rearview mirror settings, the vehicle speed threshold and acceleration change range from the sensor information, and the resolution and refresh rate from the display settings, as well as the switching frequency of different scene modes from the display mode data. Weighting is assigned to the electronic rearview mirror settings and display screen settings, and the electronic rearview mirror settings and display screen settings are combined and calculated to form the initial parameter set of the basic user personal settings template; Based on the initial parameter set, a basic user personal settings template is constructed, including display parameters and functional layout. The display parameters include brightness, contrast and color mode, and the functional layout includes navigation information display position and driving assistance function display area division.

[0026] By analyzing vehicle speed thresholds and acceleration variation ranges from sensor data, the system combines this with common driving scenarios to determine the user's expectations for the vehicle's dynamic response. Meanwhile, the resolution and refresh rate in the display settings reflect the user's requirements for image clarity and smoothness, while display mode data reflects the user's display style preferences in different scenarios. When building the template, the system rationally allocates weights to the electronic rearview mirror and display settings, combining them through a specific algorithm to form an initial parameter set including display parameters such as brightness, contrast, and color mode. For example, if the user frequently drives at night, the system will increase the initial weights of brightness and contrast. Furthermore, in terms of functional layout, the system constructs a basic user-specific settings template based on the user's habits regarding navigation information display location and the division of driving assistance function areas.

[0027] When assigning weights to electronic rearview mirror settings and display screen settings, the influencing factors should be determined first. These factors include the driving dynamics reflected by sensor information, the stability of user preferences reflected by display mode data, and the upper limit of the hardware performance of the display screen settings themselves.

[0028] Next, based on the defined factors, a analytic hierarchy process (AHP) mathematical model is used for quantitative calculations. For example, in high-speed driving scenarios, the real-time performance of electronic rearview mirror settings (such as viewing angle and brightness) is directly related to safety, and therefore is given a higher weight (e.g., 0.6). In congested urban areas, users may pay more attention to navigation and entertainment information on the display screen, in which case the weight of display settings (such as layout and color mode) will increase accordingly (e.g., 0.55). The weight is a dynamically changing value, not a fixed one.

[0029] When combining and calculating the settings information of the electronic rearview mirror and the display screen to form the initial parameter set of the basic user personal setting template, the setting parameters of the electronic rearview mirror (such as brightness A) and the setting parameters of the display screen (such as brightness B) are associated through an adaptive function. For example, the basic brightness parameter Base = α*A + β*B, where α and β are the dynamic weights calculated above, and satisfy α + β = 1.

[0030] For non-numerical parameters such as functional layout, fuzzy logic is used for processing. For example, the system determines that the user values ​​safety based on data from frequently used sensors, and therefore prioritizes a larger display area for driving assistance functions that is closer to the center of the field of vision in the decision tree.

[0031] Finally, through the above calculations, a structured initial parameter set is output. This set includes not only specific parameter values ​​but also the rules governing the relationships between parameters; for example, when the ambient light sensor value falls below a certain threshold, a night mode combination is automatically triggered. Based on the initial parameter set, a basic user personal settings template is constructed, including display parameters and functional layout. The display parameters include brightness, contrast, and color mode, and the functional layout includes the navigation information display location and the division of the driving assistance function display area.

[0032] Example 3 The difference between this embodiment and embodiment two is that the step of setting driving scene environmental features based on image data from the vehicle's outer electronic rearview mirror and sensor detection data includes the following steps: Real-time analysis of image data from the vehicle's external electronic rearview mirrors identifies road type, number of lanes, and traffic sign information; Extract vehicle speed, acceleration, steering angle, and distance to surrounding vehicles from sensor-detected data; The driving scenario environment characteristics are formed based on the combination of road type, number of lanes, traffic sign information, and vehicle driving parameters.

[0033] By analyzing image data from the vehicle's external electronic rearview mirrors in real time, image recognition technology can quickly identify road types (such as highways, urban roads, and rural roads), the number of lanes, and traffic sign information. For example, by analyzing features such as lane lines, traffic sign shapes, and colors in the images, the current road environment can be accurately determined. Simultaneously, by extracting key driving parameters such as vehicle speed, acceleration, steering angle, and distance to surrounding vehicles from sensor detection data, the system can monitor the vehicle's dynamic driving status in real time. For instance, acceleration data can help determine whether the vehicle is traveling at a constant speed or frequently accelerating and decelerating. Combining road type, number of lanes, traffic sign information, and vehicle driving parameters forms a characteristic description of the driving scene environment.

[0034] Example 4 The difference between this embodiment and embodiment three is that the step of setting driving scenario usage characteristics based on image display data and display mode usage data of the vehicle's interior display screen includes the following steps: Obtain the percentage of information display time in each display area of ​​the vehicle's interior display screen during different time intervals to determine the key areas of user attention; The display mode usage data includes the duration of mode switching operations, the number of switching operations, and the frequency of manual adjustment by the user. Based on user data characteristics of key areas and modes of use, set usage characteristics for driving scenarios.

[0035] First, the system analyzes the percentage of information displayed in different areas of the vehicle's interior display screen across various time intervals, using data mining techniques to identify key areas of user focus. For example, if the display time of the navigation information area is significantly higher than other areas during extended driving, the system will determine that navigation information is the user's primary focus. Simultaneously, by acquiring key information such as the duration and frequency of mode switching operations and manual adjustments from display mode usage data, the system can understand the user's display mode preferences in different scenarios. For instance, frequent switching between daytime and nighttime modes indicates that the user is sensitive to changes in ambient light. Combining the user's focus areas and display mode usage data characteristics, the system generates a detailed description of driving scenario usage characteristics.

[0036] Example 5 The difference between this embodiment and embodiment four is that the step of obtaining environmental information corresponding to the driving scenario environmental characteristics and modifying the basic user personal settings template based on the driving scenario environmental characteristics and the corresponding environmental information includes the following steps: By using a cloud-based environmental information database, environmental parameters that match the characteristics of the driving scenario environment can be retrieved, including optimal display brightness, recommended color contrast, environmental noise level, and weather warning information. Compare the displayed parameters in the basic user personal settings template with the retrieved environment parameters, and calculate the parameter difference value; If the difference exceeds the preset threshold, the basic user personal settings template will be corrected according to the environment adaptation algorithm.

[0037] First, the system retrieves environmental parameters matching the current driving scenario from a cloud-based environmental information database, such as optimal display brightness, recommended color contrast, ambient noise level, and weather warnings. Then, the system compares the display parameters in the basic user personal settings template with the retrieved environmental parameters, calculating the differences. For example, if the ambient light is strong and the display brightness parameter in the template is lower than the recommended value, the system records the brightness difference. If the difference exceeds a preset threshold, it indicates a mismatch between the current settings template and the environment. In this case, the system corrects the basic user personal settings template according to an environment adaptation algorithm. For instance, the system will increase display brightness and optimize color contrast in strong light environments to ensure the rearview mirror is clearly visible, thereby improving the user's driving experience.

[0038] Example 6 The difference between this embodiment and embodiment five is that the step of modifying the basic user personal settings template according to the usage characteristics of driving scenarios includes the following steps: Based on the key areas of user focus in driving scenarios, adjust the display layout, increase the display area ratio of key areas, and optimize the information display hierarchy; Based on the frequency of mode switching operations and users' manual adjustment habits, the automatic switching conditions and transition effects of the display mode were reset; The shortcut settings for functions in the basic user personal settings template have been updated, and frequently used function entries have been moved to a more user-friendly location.

[0039] First, based on user focus areas in driving scenarios, the system dynamically adjusts the display layout, increasing the display area of ​​key areas and optimizing information display hierarchy. For example, if a user frequently checks the navigation information area while driving, the system automatically increases the display area of ​​the navigation area and places it at the forefront of the display hierarchy so that the user can quickly access key information. Simultaneously, the system resets the automatic switching conditions and transition effects of display modes according to the frequency of mode switching operations and the user's manual adjustment habits. For example, if a user habitually switches to night mode manually before entering a tunnel, the system pre-sets the conditions for automatic mode switching under specific lighting conditions based on this habit, while optimizing the transition effect to be smoother and more natural, reducing interference with driving. Finally, the system also updates the function shortcut settings in the basic user personal settings template, moving frequently used function entrances to more easily accessible locations based on user habits, improving user convenience and driving safety.

[0040] When setting thresholds, dynamic classification is determined based on user profiles built on the cloud server. By constructing user sensitivity profiles, such as the frequency of manual overturning of automatic correction settings and the magnitude and frequency of manual adjustment of settings, users are classified according to this data, such as sensitive, balanced or inclusive, and different levels of thresholds are set for different types of users.

[0041] For sensitive users, a higher level of strict threshold is used (e.g., the difference must be >12% to trigger correction). This threshold setting method is more in line with the user's usage habits and avoids causing resentment because users can be sensitive to small changes. Intervention is only carried out when the environment and settings are obviously mismatched.

[0042] For balanced users, a standard threshold is used (e.g., a difference value > 10% triggers a correction) to strike a balance between personalized optimization and system initiative, giving users more personalized settings options.

[0043] For tolerant users, a lower, more lenient threshold is used (e.g., a difference greater than 8% triggers a correction), allowing the system to more proactively optimize. Even if the mismatch between the environment and settings is small, the system will actively adjust to provide these users with a driving experience that is always in the best possible condition.

[0044] Example 7 The difference between this embodiment and Embodiment Six is ​​that it also includes the following steps: The cloud server records and backs up the revised basic user personal settings template, and generates a version update log. When the vehicle connects to the cloud server, it automatically detects and pushes settings template updates, and users can choose to update immediately or schedule an update time. The updated settings template is applied automatically after the vehicle starts, while the previous version of the settings template is retained as a rollback option.

[0045] After revising the basic user personal settings template, the cloud server records and backs up the version, while also generating a version update log. The update log records the content, time, and reason for each template revision, allowing users and system administrators to understand the template's change history and optimization process. When a vehicle connects to the cloud server, the system automatically detects and pushes the updated settings template. Users can choose to update immediately or schedule an update, ensuring timely updates while respecting user habits and schedules. The updated settings template is automatically applied after the vehicle starts, and the system retains the previous version as a rollback option.

[0046] Example 8 A streaming media rearview mirror remote management system based on the Internet of Things includes a first computing unit for acquiring electronic rearview mirror setting information and sensor information of the vehicle, and acquiring display screen setting information and display mode data of the vehicle. The second calculation unit is used to set a basic user personal setting template based on the vehicle's electronic rearview mirror setting information, sensor information, display screen setting information, and display mode data; The third computing unit is used to acquire image data and sensor detection data from the vehicle's outer electronic rearview mirrors, and to acquire image display data and display mode usage data from the vehicle's inner display screen. The fourth calculation unit is used to set driving scene environment characteristics based on image data from the vehicle's exterior electronic rearview mirrors and sensor detection data; and to set driving scene usage characteristics based on image display data and display mode usage data from the vehicle's interior display screen. The fifth computing unit is used to set up the cloud server, obtain environmental information corresponding to the characteristics of the driving scenario environment, and modify the basic user personal settings template according to the characteristics of the driving scenario environment and the corresponding environmental information; and modify the basic user personal settings template according to the usage characteristics of the driving scenario. The sixth calculation unit is used to output the revised basic user personal settings template from the cloud server and modify the basic user personal settings template used by the user.

[0047] Example 9 A computer device, comprising: Memory, transceiver, processor, and bus system; The memory is used to store programs; The processor is used to execute the program in the memory, including executing the above-described method for remote management of electronic rearview mirror display based on the Internet of Things; The bus system is used to connect the memory and the processor to enable communication between the memory and the processor.

[0048] Example 10 A readable storage medium storing computer-readable instructions, characterized in that, when executed by a processor, the computer-readable instructions implement the steps of the above-described method for remote management of an electronic rearview mirror display based on the Internet of Things.

[0049] In summary, this invention acquires setting information, sensor information, display screen setting information, and display mode data from the vehicle's electronic rearview mirror to create a basic user-defined settings template that reflects the user's basic usage habits. Furthermore, by acquiring real-time image data and sensor detection data from the vehicle's outer electronic rearview mirrors, it identifies road types, number of lanes, traffic signs, and vehicle driving parameters, forming detailed driving scenario environmental characteristics. Simultaneously, by analyzing image display data and mode usage data from the vehicle's inner display screen, it determines the user's key areas of focus and display mode preferences, constructing driving scenario usage characteristics.

[0050] Meanwhile, the cloud server obtains relevant environmental information based on the characteristics of the driving scenario, such as optimal display brightness and recommended color contrast, and compares it with the parameters in the user's personal settings template. If the difference exceeds a preset threshold, the system will correct the template according to the environmental adaptation algorithm to ensure that the rearview mirror display effect matches the current environment.

[0051] In addition, the system has revised the basic user personal settings template based on driving scenario usage characteristics. By adjusting the display layout, the display area of ​​key user focus areas has been increased, and the information display hierarchy has been optimized to make key information more prominent and easier for users to quickly access. At the same time, the automatic switching conditions and transition effects of the display mode have been reset, and the function shortcut operation settings have been adjusted according to user habits, moving frequently used function entrances to easily accessible locations, thus improving operational convenience and driving comfort.

[0052] It is understood that those skilled in the art can combine various implementation methods in the above embodiments under the guidance of the above examples to obtain technical solutions with multiple implementation methods.

[0053] Those skilled in the art will recognize that the units of the various examples described in connection with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of the invention.

[0054] In the embodiments provided by the present invention, it should be understood that the division of units is only a logical functional division. In actual implementation, there may be other division methods, such as multiple units can be combined into one unit, one unit can be split into multiple units, or some features can be ignored.

[0055] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0056] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.

[0057] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A remote management method for electronic rearview mirror display based on the Internet of Things, characterized in that, Includes the following steps: Obtain the vehicle's electronic rearview mirror settings and sensor information, and obtain the vehicle's display screen settings and display mode data; Set a basic user personal settings template based on the vehicle's electronic rearview mirror settings, sensor information, display settings, and display mode data; Acquire image data and sensor detection data from the vehicle's exterior electronic rearview mirrors, and acquire image display data and display mode usage data from the vehicle's interior display screen; Based on image data and sensor detection data from the vehicle's exterior electronic rearview mirrors, driving scenario environmental characteristics are set; based on image display data and display mode usage data from the vehicle's interior display screen, driving scenario usage characteristics are set. Set up a cloud server to obtain environmental information corresponding to the characteristics of the driving scenario environment, and modify the basic user personal settings template according to the characteristics of the driving scenario environment and the corresponding environmental information. The basic user personal settings template has been modified based on the characteristics of driving scenarios. The cloud server outputs a revised basic user personal settings template, which is then used by the user to modify the basic user personal settings template.

2. The method for remote management of electronic rearview mirror display based on the Internet of Things according to claim 1, characterized in that, The process of setting a basic user personal settings template based on the vehicle's electronic rearview mirror settings, sensor information, display screen settings, and display mode data includes the following steps: Obtain the brightness adjustment range and viewing angle from the electronic rearview mirror settings, the vehicle speed threshold and acceleration change range from the sensor information, and the resolution and refresh rate from the display settings, as well as the switching frequency of different scene modes from the display mode data. Weighting is assigned to the electronic rearview mirror settings and display screen settings, and the electronic rearview mirror settings and display screen settings are combined and calculated to form the initial parameter set of the basic user personal settings template; Based on the initial parameter set, a basic user personal settings template is constructed, including display parameters and functional layout. The display parameters include brightness, contrast and color mode, and the functional layout includes navigation information display position and driving assistance function display area division.

3. The method for remote management of electronic rearview mirror display based on the Internet of Things according to claim 1, characterized in that, The step of setting driving scenario environmental features based on image data from the vehicle's external electronic rearview mirrors and sensor detection data includes the following steps: Real-time analysis of image data from the vehicle's external electronic rearview mirrors identifies road type, number of lanes, and traffic sign information; Extract vehicle speed, acceleration, steering angle, and distance to surrounding vehicles from sensor-detected data; The driving scenario environment characteristics are formed based on the combination of road type, number of lanes, traffic sign information, and vehicle driving parameters.

4. The method for remote management of electronic rearview mirror display based on the Internet of Things according to claim 1, characterized in that, The step of setting driving scenario usage characteristics based on image display data and display mode usage data from the vehicle's interior display screen includes the following steps: Obtain the percentage of information display time in each display area of ​​the vehicle's interior display screen during different time intervals to determine the key areas of user attention; The display mode usage data includes the duration of mode switching operations, the number of switching operations, and the frequency of manual adjustment by the user. Based on user data characteristics of key areas and modes of use, set usage characteristics for driving scenarios.

5. The method for remote management of electronic rearview mirror display based on the Internet of Things according to claim 1, characterized in that, The process of obtaining environmental information corresponding to the driving scenario environment characteristics and modifying the basic user personal settings template based on the driving scenario environment characteristics and the corresponding environmental information includes the following steps: By using a cloud-based environmental information database, environmental parameters that match the characteristics of the driving scenario environment can be retrieved, including optimal display brightness, recommended color contrast, environmental noise level, and weather warning information. Compare the displayed parameters in the basic user personal settings template with the retrieved environment parameters, and calculate the parameter difference value; If the difference exceeds the preset threshold, the basic user personal settings template will be corrected according to the environment adaptation algorithm.

6. The method for remote management of electronic rearview mirror display based on the Internet of Things according to claim 1, characterized in that, The process of modifying the basic user personal settings template based on driving scenario usage characteristics includes the following steps: Based on the key areas of user focus in driving scenarios, adjust the display layout, increase the display area ratio of key areas, and optimize the information display hierarchy; Based on the frequency of mode switching operations and users' manual adjustment habits, the automatic switching conditions and transition effects of the display mode were reset; The shortcut settings for functions in the basic user personal settings template have been updated, and frequently used function entries have been moved to a more user-friendly location.

7. The method for remote management of electronic rearview mirror display based on the Internet of Things according to claim 1, characterized in that, It also includes the following steps: The cloud server records and backs up the revised basic user personal settings template, and generates a version update log. When the vehicle connects to the cloud server, it automatically detects and pushes settings template updates, and users can choose to update immediately or schedule an update time. The updated settings template is applied automatically after the vehicle starts, while the previous version of the settings template is retained as a rollback option.

8. A streaming media rearview mirror remote management system based on the Internet of Things, characterized in that, It includes a first computing unit, used to acquire the vehicle's electronic rearview mirror setting information and sensor information, and to acquire the vehicle's display screen setting information and display mode data; The second calculation unit is used to set a basic user personal setting template based on the vehicle's electronic rearview mirror setting information, sensor information, display screen setting information, and display mode data; The third computing unit is used to acquire image data and sensor detection data from the vehicle's outer electronic rearview mirrors, and to acquire image display data and display mode usage data from the vehicle's inner display screen. The fourth calculation unit is used to set driving scene environment characteristics based on image data from the vehicle's exterior electronic rearview mirrors and sensor detection data; and to set driving scene usage characteristics based on image display data and display mode usage data from the vehicle's interior display screen. The fifth computing unit is used to set up the cloud server, obtain environmental information corresponding to the characteristics of the driving scenario environment, and modify the basic user personal settings template according to the characteristics of the driving scenario environment and the corresponding environmental information. The basic user personal settings template has been modified based on the characteristics of driving scenarios. The sixth calculation unit is used to output the revised basic user personal settings template from the cloud server and modify the basic user personal settings template used by the user.

9. A computer device, characterized in that, include: Memory, transceiver, processor, and bus system; The memory is used to store programs; The processor is used to execute the program in the memory, including executing the IoT-based remote management method for electronic rearview mirror display as described in any one of claims 1 to 7; The bus system is used to connect the memory and the processor to enable communication between the memory and the processor.

10. A readable storage medium storing computer-readable instructions, characterized in that, When the computer-readable instructions are executed by the processor, they implement the steps of the IoT-based remote management method for electronic rearview mirror displays as described in any one of claims 1 to 7.

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