Driving level updating method and system

Abstract

The present application discloses a driving grade updating method and system; wherein the method is applied to a target vehicle; the method comprises: displaying at least one image of an adjacent vehicle and the driving grade of each adjacent vehicle through a display device of the target vehicle; wherein the at least one adjacent vehicle comprises a vehicle adjacent to the target vehicle; in response to a selection operation of a target adjacent vehicle in the at least one adjacent vehicle image, collecting the driving status of the target adjacent vehicle; obtaining the updated driving grade of the target adjacent vehicle; wherein the updated driving grade of the target adjacent vehicle is determined based on the driving status of the target adjacent vehicle; and adjusting the driving grade of the target adjacent vehicle displayed on the display device to the updated driving grade of the target adjacent vehicle.

Description

Technical Field

[0001] The present application relates to the field of vehicle traffic technology, and in particular to a driving level updating method and system. Background Art

[0002] When a vehicle is driving, if it encounters unsafe driving behaviors of surrounding vehicles, these unsafe driving behaviors can only be captured by the image acquisition equipment set up by the traffic management department, and then the traffic management department determines the safety level of the vehicle's driving behavior through the driving behavior images collected by the image acquisition equipment. However, in traffic areas where the traffic management department has not set up image acquisition equipment, unsafe driving behaviors cannot be captured, and the safety level of these driving behaviors cannot be determined. Summary of the invention

[0003] Based on the above problems, an embodiment of the present application provides a driving level updating method and system.

[0004] The technical solution provided by the embodiment of the present application is as follows:

[0005] The embodiment of the present application provides a driving level updating method; the method is applied to a target vehicle; the method comprises:

[0006] Displaying an image of at least one adjacent vehicle and a driving grade of each adjacent vehicle through a display device of the target vehicle; wherein the at least one adjacent vehicle includes a vehicle adjacent to the target vehicle;

[0007] In response to a selection operation of a target adjacent vehicle in the at least one adjacent vehicle image, collecting a driving state of the target adjacent vehicle;

[0008] Acquire the updated driving grade of the target approaching vehicle; wherein the updated driving grade of the target approaching vehicle is determined based on the driving state of the target approaching vehicle;

[0009] The driving level of the target approaching vehicle displayed on the display device is adjusted to the updated driving level of the target approaching vehicle.

[0010] In some embodiments, the method further comprises:

[0011] The display device also displays an image of the target vehicle and a driving level of the target vehicle, and distribution of the image of the at least one adjacent vehicle and the image of the target vehicle in a display area of ​​the display device is consistent with distribution of the at least one adjacent vehicle and the target vehicle in a physical environment; wherein the physical environment includes the environment in which the target vehicle and the at least one adjacent vehicle are located.

[0012] In some embodiments, the method further comprises:

[0013] If the driving grade of the target approaching vehicle before being updated is different from the driving grade of the target approaching vehicle after being updated, the driving grade of the target approaching vehicle before being updated is displayed through the display device with a first display attribute, and the driving grade of the target approaching vehicle after being updated is displayed through the display device with a second display attribute; wherein at least one parameter of the first display attribute is different from that of the second display attribute; and the first display attribute and the second display attribute include at least one of brightness, shape, size and color.

[0014] In some embodiments, the method further comprises:

[0015] When it is detected that the driving level of any adjacent vehicle is less than the level threshold, an alarm message is output; wherein the alarm message is used to prompt that an adjacent vehicle with a driving level less than the level threshold is detected.

[0016] In some embodiments, obtaining the updated driving level of the target adjacent vehicle includes:

[0017] Sending the driving status of the target adjacent vehicle to the cloud platform, so that the cloud platform updates the driving grade of the target adjacent vehicle based on the driving status of the target adjacent vehicle and the historical driving status of the target adjacent vehicle;

[0018] Obtain the updated driving level of the target nearby vehicle sent by the cloud platform.

[0019] In some embodiments, before obtaining the target driving level after the vehicle is updated, the method further includes:

[0020] Collecting environmental information of the environment in which the target vehicle is located;

[0021] The environmental information is sent to a cloud platform, so that the cloud platform can update the driving grade of the target adjacent vehicle based on the environmental information and the driving status of the target adjacent vehicle.

[0022] The embodiment of the present application also provides a driving level update method, which is applied to a cloud platform and includes:

[0023] Receiving the driving status of a target adjacent vehicle sent by the target vehicle; wherein the driving status of the target adjacent vehicle is collected by the target vehicle in response to a selection operation of at least one adjacent vehicle image displayed on a display device of the target vehicle; the display device displays at least one adjacent vehicle image and a driving grade of each adjacent vehicle; the at least one adjacent vehicle includes a vehicle adjacent to the target vehicle;

[0024] updating a driving grade of the target adjacent vehicle based on the driving state of the target adjacent vehicle;

[0025] The driving grade of the target adjacent vehicle is sent to the target vehicle, so that the target vehicle adjusts the driving grade of the target adjacent vehicle displayed on the display device to the updated driving grade of the target adjacent vehicle.

[0026] In some embodiments, updating the driving grade of the target adjacent vehicle based on the driving state of the target adjacent vehicle includes:

[0027] Receiving environmental information of the environment in which the target vehicle is located, sent by the target vehicle;

[0028] Based on the environmental information and the driving state of the target adjacent vehicle, the driving grade of the target adjacent vehicle is updated.

[0029] In some embodiments, before updating the driving grade of the target adjacent vehicle based on the driving state of the target adjacent vehicle, the method further includes:

[0030] Acquire historical traffic information of vehicles approaching the target sent by the traffic management platform;

[0031] Based on the historical traffic information of the target adjacent vehicle, a driving grade of the target adjacent vehicle is determined.

[0032] The embodiment of the present application also provides a driving level update system, the system comprising a target vehicle and a cloud platform; wherein:

[0033] The target vehicle comprises a first processor and a first memory; a computer program is stored in the first memory; when the computer program is executed by the first processor, the driving level update method applied to the target vehicle as described above can be implemented;

[0034] The cloud platform includes a second processor and a second memory; a computer program is stored in the second memory; when the computer program is executed by the second processor, it can implement the driving level update method applied to the cloud platform as described in any of the above.

[0035] An embodiment of the present application also provides a computer-readable storage medium, in which a computer program is stored; when the computer program is executed by a processor of an electronic device, the driving level update method as described above can be implemented.

[0036] In the driving level updating method provided in the embodiment of the present application, at least one image of an adjacent vehicle and the driving level of each adjacent vehicle are displayed on the display device of the target vehicle, so that the target vehicle can output the driving level of the adjacent vehicles of the target vehicle in real time and flexibly, thereby providing guarantee for the safe driving of the target vehicle; and, in response to the selection operation of the target adjacent vehicle in the image of at least one adjacent vehicle, the driving status of the target adjacent vehicle can be collected, thereby realizing the targeted selection and collection of the target adjacent vehicle and its driving status; at the same time, in the case where the target adjacent vehicle is any vehicle around the target vehicle, by collecting the driving status of the target adjacent vehicle, it is possible to provide flexible collection of the driving status of any vehicle anytime and anywhere; on the other hand, the updated driving level of the target adjacent vehicle acquired and displayed by the target vehicle is based on the target adjacent vehicle. The driving state of the vehicle is determined, thereby improving the accuracy of the driving level of the updated target adjacent vehicle; on this basis, when the target vehicle is any vehicle, the driving level update method provided in the embodiment of the present application can realize targeted, real-time and flexible management of the driving level of the target adjacent vehicle based on the driving state of the target adjacent vehicle uploaded by any vehicle, thereby establishing a anytime, anywhere, networked, transparent and highly flexible vehicle driving state supervision mechanism, and providing a level update mechanism that can continuously update the driving level; by updating the driving level of the target adjacent vehicle based on the form state of the target adjacent vehicle, the driving level of the target adjacent vehicle is accurately quantified, thereby solving the technical problem in the related technology that the vehicle's illegal driving behavior cannot be collected to update the vehicle's driving safety level due to the limitation of the setting position of the image acquisition device. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 A flowchart of a driving level updating method provided in an embodiment of the present application;

[0038] Figure 2 A flowchart of another driving level updating method provided in an embodiment of the present application;

[0039] Figure 3 A schematic diagram of the structure of a target vehicle provided in an embodiment of the present application;

[0040] Figure 4 A schematic diagram of the structure of the cloud platform provided in the embodiment of the present application;

[0041] Figure 5 A schematic diagram of the structure of a driving level update system provided in an embodiment of the present application. DETAILED DESCRIPTION

[0042] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application.

[0043] It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0044] During the driving process, some vehicles or drivers may encounter unsafe or irregular driving behaviors. When encountering such driving behaviors, the vehicle users of the affected vehicles may report the above driving behaviors to the traffic management department manually by making a phone call. However, the above manual reporting of driving behaviors has poor real-time performance and low efficiency.

[0045] In order to solve the above technical problems, the traffic management department has installed image acquisition equipment on public transportation routes, and uses these image acquisition equipment to collect and track the unsafe or irregular driving behaviors of vehicles. The traffic management department then determines whether the driving behavior of the vehicle is illegal based on the image data containing the above driving behaviors. However, for traffic areas where the traffic management department has not installed image acquisition equipment, it is impossible to collect or track the unsafe and irregular driving behaviors of vehicles. Therefore, the driving level or driving category of the above driving behaviors of vehicles traveling in these areas cannot be determined.

[0046] Based on the above problems, an embodiment of the present application provides a driving level updating method and system.

[0047] The driving level update method provided in the embodiment of the present application is applied to a target vehicle, and the method can be implemented by a processor of the target vehicle; the above-mentioned processor can be at least one of an application-specific integrated circuit (ASIC), a digital signal processor (DSP), a digital signal processing device (DSPD), a programmable logic device (PLD), a field programmable gate array (FPGA), a central processing unit (CPU), a controller, a microcontroller, and a microprocessor.

[0048] In one implementation, the target vehicle may be the current vehicle; illustratively, the target vehicle may be in a driving state or in a stopped driving state.

[0049] Figure 1A flowchart of a driving level updating method provided in an embodiment of the present application is shown in FIG. Figure 1 As shown, the process may include the following steps:

[0050] Step 101: Displaying an image of at least one adjacent vehicle and a driving grade of each adjacent vehicle via a display device of a target vehicle.

[0051] The at least one adjacent vehicle includes a vehicle adjacent to the target vehicle.

[0052] In one embodiment, the display device may include a central control display screen of the target vehicle.

[0053] In one embodiment, a communication connection may be established between the display device and the acquisition device of the target vehicle, so that the display device can display an image generated based on the status data of at least one adjacent vehicle acquired by the acquisition device of the target vehicle; exemplarily, the acquisition device may include an image acquisition device, a distance sensor, a radar speed sensor, etc.

[0054] In one embodiment, the at least one adjacent vehicle may include a vehicle whose distance from the target vehicle is less than or equal to a distance threshold.

[0055] In one embodiment, the at least one adjacent vehicle may include a motor vehicle or a non-motor vehicle.

[0056] In one implementation, the driving grade may represent a level indicator of the degree to which the driving behavior of the neighboring vehicle deviates from traffic rules or traffic regulations.

[0057] In one implementation, the driving grade may represent a level indicator of the risk level of the driving behavior of the neighboring vehicle.

[0058] In one implementation, the driving grade may be displayed in the image in the form of numbers or text; for example, the driving grade may be displayed in the form of numbers in an image region where the target adjacent vehicle is located in the image.

[0059] In one embodiment, the driving level of each adjacent vehicle may be initialized by the target vehicle or obtained by the target vehicle from a cloud platform; exemplarily, the target vehicle may send an image of each adjacent vehicle to the cloud platform, so that the cloud platform can search based on the vehicle identification contained in the image of each adjacent vehicle and return the driving level of each adjacent vehicle to the target vehicle; exemplarily, the cloud platform may include a cloud server that has a wireless communication connection with the target vehicle.

[0060] Step 102: In response to a selection operation of a target adjacent vehicle in at least one image of adjacent vehicles, a driving state of the target adjacent vehicle is collected.

[0061] In one implementation, the selection operation may include at least one of a touch operation, a voice input operation, and a gesture operation on a display screen associated with the display device.

[0062] In one implementation, the target adjacent vehicle may include at least one vehicle; illustratively, the target adjacent vehicle may include a vehicle in a driving state and / or a vehicle in a stopped driving state.

[0063] In one implementation, the target adjacent vehicle may be determined by:

[0064] In response to the above selection operation, the pixel position of the selection operation is determined, and image recognition is performed on the pixel area where the pixel position of the selection operation is located, so as to determine that the target is close to the vehicle.

[0065] In one implementation, the driving state of the target approaching vehicle may include whether the driving state of the target approaching vehicle in at least one time period complies with traffic regulations and whether the driving state of the target approaching vehicle gives way to pedestrians.

[0066] In one implementation, the driving state of the target approaching vehicle may include at least one of a driving speed, a lane switching frequency, a direction switching frequency, and an indicator light flashing frequency of the target approaching vehicle.

[0067] In one implementation, the driving state of the target adjacent vehicle may be obtained by any of the following methods:

[0068] An image or video associated with the target adjacent vehicle in the image displayed on the display device is intercepted to obtain at least one frame of image or one segment of video that can characterize the driving state of the target adjacent vehicle, and the state related to the driving process of the target adjacent vehicle in the at least one frame of image or one segment of video is determined as the driving state of the target adjacent vehicle.

[0069] The collection device controlling the target vehicle tracks and collects the state related to the driving process of the target adjacent vehicle, thereby obtaining the collected data, and integrates the data in the collected data, and determines the integration result as the driving state of the target adjacent vehicle.

[0070] Acquire the driving status of a target adjacent vehicle input by a vehicle user; exemplarily, the vehicle user may include a vehicle passenger and / or a vehicle driver; exemplarily, the vehicle user may input text data and / or voice data, and the text data and / or voice data are used to describe the driving status of the target adjacent vehicle.

[0071] Step 103: Obtain the updated driving level of the target nearby vehicle.

[0072] The updated driving grade of the target approaching vehicle is determined based on the driving state of the target approaching vehicle.

[0073] In one embodiment, the updated driving grade of the target adjacent vehicle may be the same as or different from the pre-updated driving grade of the target adjacent vehicle.

[0074] In one implementation, the driving grade of the target adjacent vehicle may be updated in any of the following ways:

[0075] The target vehicle updates the driving level of the target adjacent vehicle according to the driving status of the target adjacent vehicle, including whether it violates the regulations and the driving status of surrounding vehicles or pedestrians.

[0076] The target vehicle updates the driving grade of the target adjacent vehicle according to the driving status of the target adjacent vehicle and the historical driving status of the target adjacent vehicle; illustratively, the target vehicle can obtain the historical driving status of the target adjacent vehicle from the cloud platform.

[0077] In one implementation, the historical driving status of the target adjacent vehicle may include the driving mileage of the target adjacent vehicle in the historical driving process, whether the target adjacent vehicle complies with traffic regulations, and whether the target adjacent vehicle gives way to pedestrians.

[0078] In one implementation, the historical driving status of the target approaching vehicle can be represented by a digital behavior obtained by quantifying information such as whether the historical driving process of the target approaching vehicle complies with traffic regulations and whether it gives way to pedestrians.

[0079] In one embodiment, the cloud platform can perform comprehensive processing operations such as storage, updating, identification, and grading of the driving status of any vehicle, including the target adjacent vehicle.

[0080] In one embodiment, the cloud platform may provide a registration option for vehicle users. After the vehicle user performs a registration operation on the cloud platform and fills in the vehicle information, the cloud platform may create a vehicle account based on the vehicle information and perform the above-mentioned comprehensive processing operations based on the account; exemplarily, the above-mentioned vehicle information may include information such as vehicle brand, vehicle identification, vehicle continuous driving time and vehicle continuous driving mileage; exemplarily, the vehicle identification may include the vehicle license plate number.

[0081] Step 104: The driving level of the target adjacent vehicle displayed on the display device is adjusted to the updated driving level of the target adjacent vehicle.

[0082] In one implementation, the updated driving grade of the target approaching vehicle may be displayed in a display area of ​​the display device that displays the driving grade of the target approaching vehicle.

[0083] In one implementation, the updated driving grade of the target adjacent vehicle may be displayed at a designated position of the display device; illustratively, the designated position may be set by a vehicle user of the target vehicle.

[0084] As can be seen from the above, in the driving level updating method provided in the embodiment of the present application, at least one image of an adjacent vehicle and the driving level of each adjacent vehicle are displayed on the display device of the target vehicle, so that the target vehicle can output the driving level of the adjacent vehicles of the target vehicle in real time and flexibly, thereby providing guarantee for the safe driving of the target vehicle; and, in response to the selection operation of the target adjacent vehicle in the image of at least one adjacent vehicle, the driving status of the target adjacent vehicle can be collected, thereby realizing the targeted selection and collection of the target adjacent vehicle and its driving status; at the same time, in the case where the target adjacent vehicle is any vehicle around the target vehicle, by collecting the driving status of the target adjacent vehicle, it is possible to provide flexible collection of the driving status of any vehicle anytime and anywhere; on the other hand, the updated driving level of the target adjacent vehicle acquired and displayed by the target vehicle is based on the target adjacent vehicle. The driving level of the target adjacent vehicle is determined by the driving status of the target adjacent vehicle, thereby improving the accuracy of the updated driving level of the target adjacent vehicle; on this basis, when the target vehicle is any vehicle, the driving level update method provided in the embodiment of the present application can realize targeted, real-time and flexible management of the driving level of the target adjacent vehicle based on the driving status of the target adjacent vehicle uploaded by any vehicle, thereby establishing a monitoring mechanism for the driving status of the vehicle anytime, anywhere, networked, transparent and highly flexible, and providing a level update mechanism for continuously updating the driving level; by updating the driving level of the target adjacent vehicle based on the form status of the target adjacent vehicle, the driving level of the target adjacent vehicle is accurately quantified, thereby solving the technical problem in the related technology that the vehicle's illegal driving behavior cannot be collected to update the vehicle's driving safety level due to the limitation of the setting position of the image acquisition device.

[0085] In actual applications, the driving status of a vehicle can only be collected by the image acquisition equipment set up by the traffic management department in the public transportation environment. In the embodiment of the present application, the driving status of any vehicle can be obtained through its surrounding vehicles, and the driving level of any vehicle can be updated according to the driving status of the vehicle, thereby providing an intelligent and healthy driving data management system with self-monitoring and automatic management of driving status anytime and anywhere. This can also alleviate driving conflicts in public transportation and achieve effective supervision of the driving behavior of any vehicle.

[0086] Based on the above embodiment, the driving level updating method provided in the embodiment of the present application may further include the following steps:

[0087] The display device also displays an image of the target vehicle and a driving level of the target vehicle, and distribution of the image of at least one adjacent vehicle and the image of the target vehicle in the display area of ​​the display device is consistent with distribution of the at least one adjacent vehicle and the target vehicle in the physical environment.

[0088] The physical environment includes the environment in which the target vehicle and at least one adjacent vehicle are located.

[0089] In one implementation, the driving grade of the target vehicle may be obtained from a cloud platform.

[0090] In one embodiment, the display area of ​​the display device can display the relative position relationship between the target vehicle and at least one adjacent vehicle in a planar or three-dimensional display style; illustratively, the acquisition device of the target vehicle can integrate the image data, distance data and speed data it has collected to determine the relative position relationship between the target vehicle and at least one adjacent vehicle, and generate an image based on the relative position relationship, and then dynamically display the image on the display device based on the dynamically changing relative position relationship.

[0091] In one embodiment, the physical environment may include a social environment or a natural environment; for example, the social environment may include an urban environment and a street environment where the target vehicle and at least one adjacent vehicle are located; the natural environment may include a grassland, a desert, a Gobi, or the like where the target vehicle and at least one adjacent vehicle are located.

[0092] From the above, it can be seen that in the driving level update method provided in the embodiment of the present application, the display device displays the image of the target vehicle and the driving level of the target vehicle, so that the driving level of the target vehicle can be output accurately in real time; and the distribution of the image of at least one adjacent vehicle and the image of the target vehicle in the display area of ​​the display device is consistent with the distribution of at least one adjacent vehicle and the target vehicle in the physical environment in which they are located, thereby not only improving the accuracy of the relative position relationship between at least one vehicle and the target vehicle in the image, but also being able to present the relative position relationship between the target vehicle and at least one adjacent vehicle more realistically and intuitively.

[0093] Based on the above embodiment, the driving level updating method provided in the embodiment of the present application may further include the following steps:

[0094] If the target approaching vehicle's driving grade before update is different from the target approaching vehicle's driving grade after update, the target approaching vehicle's driving grade before update is displayed on the display device with the first display attribute, and the target approaching vehicle's driving grade after update is displayed on the display device with the second display attribute.

[0095] The first display attribute and the second display attribute have at least one parameter that is different; the first display attribute and the second display attribute include at least one of brightness, shape, size, and color.

[0096] Exemplarily, if the driving level of the target approaching vehicle before the update is the same as the driving level of the target approaching vehicle after the update, the updated driving level of the target approaching vehicle can still be displayed on the display device with the first display attribute; exemplarily, prompt information can also be output to prompt that the driving level displayed with the first display attribute at the current moment is the updated driving level of the target approaching vehicle.

[0097] In one embodiment, the driving level of the target vehicle and any adjacent vehicle may be reflected by a driving level identification; exemplarily, the driving level identification may represent a risk level identification of the driving state; exemplarily, the driving level identification may include multiple risk level identifications; exemplarily, the driving level identification may be sent to the target vehicle by a cloud platform.

[0098] In one embodiment, the driving level identifier may represent an identifier of the driving proficiency of the vehicle driver. In practical applications, the vehicle user can only rely on his own experience to determine whether the driver of the target adjacent vehicle is a mature driver based on the current driving performance of the target adjacent vehicle. However, after obtaining the driving behavior of the target adjacent vehicle, the embodiment of the present application can accurately determine the driving proficiency of the driver of the target adjacent vehicle through the driving level or driving level identifier. For example, if the user of the target adjacent vehicle is determined to be a novice driver through the driving level or driving level identifier, the vehicle user can know the unstable driving behavior of the target adjacent vehicle in advance, and then control the driving behavior of the target vehicle in advance, which can reduce the probability of traffic accidents.

[0099] In one embodiment, the driving class identification can be reflected in the form of a score, and the cloud platform can manage the driving class identification by adding or subtracting points from the driving class identification. In this way, after the target vehicle obtains the driving class identifications of its surrounding vehicles, it can determine the historical number of times the surrounding vehicles have performed unreasonable driving behaviors based on the driving class identifications of its surrounding vehicles.

[0100] In one implementation, if the cloud platform has not set a driving class identifier for the target approaching vehicle, the driving class identifier of the target approaching vehicle may be determined based on the historical driving status of the target approaching vehicle.

[0101] In one embodiment, the target vehicle can display the driving grade of any adjacent vehicle and the target vehicle, or the driving level identification of any adjacent vehicle and the target vehicle in the form of at least one of pictures, animations, texts, or at least one of the above combined with audio.

[0102] In one embodiment, different levels of driving levels or driving level identifiers may be displayed differently. For example, the first level driving level or the first driving level identifier may be displayed as a green picture, and the second level driving level or the second driving level identifier may be displayed in an animated form.

[0103] In one embodiment, the display colors of different levels of driving grades or driving level indicators may be different; for example, a first level driving grade or a first driving level indicator may be output as an indicator image of a first color, while a second level driving grade or a second driving level indicator may be output as an indicator image of a second color.

[0104] Exemplarily, a first level driving level or a first traveling level identifier whose threat level is less than a level threshold may be output in a green indication picture, while a second level driving level or a second traveling level identifier whose threat level is greater than the level threshold may be output in a red indication picture.

[0105] Exemplarily, driving grades or driving level identifications of different risk levels can be reflected by labels of different colors. For example, driving grades or driving level identifications of different risk levels can be reflected in the form of red labels, yellow labels and green labels, wherein a red label can represent a driving grade or driving level identification with a higher risk level, which can be used to remind vehicle users to pay special attention to the driving behavior of target adjacent vehicles, a yellow label can represent a driving grade or driving level identification with a medium risk level, which can be used to remind vehicle users to pay attention to the driving behavior of target adjacent vehicles, and a green label can represent a driving grade or driving level identification with the lowest risk level, which can be used to remind vehicle users that the driving behavior of target adjacent vehicles is good.

[0106] In one implementation, the brightness in the first display attribute and the second display attribute may include the brightness of a display area in the display device for displaying text, pictures, or animations.

[0107] In one implementation, the shapes in the first display attribute and the second display attribute may include the shape of a display area in a display device for displaying text, pictures, or animations.

[0108] In one implementation, the size in the first display attribute and the second display attribute may include the size of a display area in a display device for displaying text, pictures, or animations; illustratively, the size may be represented by the number of pixels.

[0109] In one implementation, the color in the first display attribute and the second display attribute may include a pixel depth of text, a picture, or an animation displayed on the display device.

[0110] As can be seen from the above, in the driving level update method provided by the embodiment of the present application, if the driving level of the target adjacent vehicle before the update is different from the driving level of the target adjacent vehicle after the update, the driving level of the adjacent vehicle before the update is displayed through the display device with the first display attribute, and the driving level of the target adjacent vehicle after the update is displayed through the display device with the second display attribute. In this way, by judging whether the driving level of the target adjacent vehicle before and after the update is the same, it is possible to achieve strict control of the display style or form of the driving level of the target adjacent vehicle before and after the update; and the display device of the target vehicle can display different driving levels of the target adjacent vehicle with different display attributes, so as to achieve a distinguishable display of the driving level of the target adjacent vehicle, thereby improving the recognizability of the driving level of the target adjacent vehicle.

[0111] Based on the above embodiments, in the driving level updating method provided in the embodiments of the present application, obtaining the updated driving level of the target adjacent vehicle can be achieved by the following methods:

[0112] The driving status of the target vehicle is sent to the cloud platform, so that the cloud platform can update the driving grade of the target vehicle based on the driving status of the target vehicle and the historical driving status of the target vehicle; and the updated driving grade of the target vehicle sent by the cloud platform is obtained.

[0113] In one implementation, the updated driving level of the target adjacent vehicle may be determined in the following manner:

[0114] The target vehicle sends an image containing the target adjacent vehicle, and the cloud platform determines the vehicle identification of the target adjacent vehicle based on the image, and obtains the historical driving status of the target adjacent vehicle based on the vehicle identification, and then determines to perform an update operation to increase or decrease the driving level of the target adjacent vehicle based on the degree of match between the driving status of the target adjacent vehicle and the above-mentioned historical driving status; illustratively, the degree of match between the driving status of the target adjacent vehicle and the above-mentioned historical driving status may include a complete match, a partial match, or a mismatch between the two.

[0115] As can be seen from the above, in the driving level update method provided in the embodiment of the present application, the target vehicle sends the driving status of the target adjacent vehicle to the cloud platform, so that the cloud platform can update the driving level of the target adjacent vehicle based on the driving status of the target adjacent vehicle and the historical driving status of the target adjacent vehicle. In this way, on the one hand, by updating the driving level of the target adjacent vehicle through the cloud platform, the impact on the computing resources of the target vehicle caused by the target vehicle updating the driving level of the target adjacent vehicle can be reduced. On the other hand, by updating the driving level of the target adjacent vehicle based on the historical driving status of the target adjacent vehicle and the driving status of the target adjacent vehicle, the cloud platform can improve the accuracy of the driving level of the target adjacent vehicle.

[0116] Based on the above embodiment, in the driving level updating method provided in the embodiment of the present application, before obtaining the updated driving level of the target adjacent vehicle, the following steps may also be included:

[0117] Collect environmental information of the target vehicle's environment; send the environmental information to the cloud platform so that the cloud platform can update the driving level of the target vehicle based on the environmental information and the driving status of the target vehicle.

[0118] In one embodiment, the above environment may include a natural environment and / or a social environment.

[0119] In one implementation, the environmental information may include information such as light, temperature, wind speed, and sound intensity.

[0120] In one embodiment, the environmental information may include traffic conditions, such as whether the traffic is congested, the changing status of traffic lights, the distance between vehicles, and the density of pedestrians.

[0121] In one embodiment, the environmental information may be collected by a collection device disposed in the vehicle; illustratively, the collection device may include an image collection device disposed in the target vehicle, the image collection device may include a 360-degree panoramic camera, and the image collection device may also collect audio data outside the target vehicle and add the audio data to the environmental information.

[0122] In one embodiment, the cloud platform can update the driving level of the target adjacent vehicle in any of the following ways:

[0123] The cloud platform stores the association relationship between the environment and the driving level. The cloud platform can determine the driving level of the target adjacent vehicle corresponding to the environmental information from the association relationship based on the matching relationship between the environmental information and the environment in the association relationship, and then update the driving level of the target adjacent vehicle based on the above driving status.

[0124] The cloud platform determines the driving state of the target adjacent vehicle based on the environmental information to determine whether the driving state of the target adjacent vehicle is an unreasonable driving state in the environment corresponding to the environmental information. If the driving state of the target adjacent vehicle is indeed an unreasonable driving state, the driving level of the target adjacent vehicle is downgraded and updated based on the current state of the target adjacent vehicle.

[0125] From the above, it can be seen that in the state management method provided in the embodiment of the present application, after collecting the environmental information of the environment in which the target vehicle is located and sending the environmental information to the cloud platform, the cloud platform can update the driving level of the target adjacent vehicle based on the environmental information and the driving status of the target adjacent vehicle. In this way, when the cloud platform updates the driving level of the target adjacent vehicle, it can be based on the environmental information and the driving status of the target adjacent vehicle, thereby being able to achieve a comprehensive and associative update of the driving level of the target adjacent vehicle; and, the cloud platform updates the driving level of the target adjacent vehicle based on the environmental information and the driving status of the target adjacent vehicle, which also enables the cloud platform to further judge the driving status of the target adjacent vehicle based on the environmental information, thereby improving the accuracy and fairness of the cloud platform's update operation on the driving level of the target adjacent vehicle.

[0126] Based on the above embodiment, the driving level updating method provided in the embodiment of the present application may further include the following steps:

[0127] When it is detected that the driving level of any adjacent vehicle is less than the level threshold, an alarm message is output.

[0128] The warning information is used to prompt that an adjacent vehicle whose driving level is lower than the level threshold is detected.

[0129] Exemplarily, if it is not detected that the driving level of any adjacent vehicle is less than the level threshold, no warning information is output.

[0130] In one implementation, the warning information may be outputted via at least one of an audio output device, a display device, and a lighting device of the target vehicle.

[0131] In one embodiment, an adjacent vehicle whose driving level is less than a level threshold may be highlighted in an image including the target vehicle and at least one adjacent vehicle displayed on a display device.

[0132] In one implementation, the warning information may include information prompting a vehicle user of the target vehicle to maintain a safe driving distance from an adjacent vehicle whose driving level is less than a level threshold.

[0133] In one embodiment, the lighting device may include ambient lighting in a vehicle.

[0134] In one implementation, the prompt information may be output in at least one of the following forms: voice, animation, and ambient light brightness adjustment.

[0135] From the above, it can be seen that in the driving level update method provided in the embodiment of the present application, when it is detected that the driving level of any adjacent vehicle is less than the level threshold, an alarm message is output to prompt that the adjacent vehicle with a driving level less than the level threshold is detected, so that when the driving level of the adjacent vehicle is less than the level threshold, the alarm message can be output in real time, thereby laying the foundation for the safe and stable driving of the target vehicle.

[0136] Based on the above embodiments, the present application also provides a driving level update method applied to a cloud platform. Figure 2 A flowchart of another driving level updating method provided in an embodiment of the present application is shown as follows: Figure 2 As shown, the process may include the following steps:

[0137] Step 201: Receive the driving status of a target nearby vehicle sent by a target vehicle.

[0138] The driving status of the target adjacent vehicle is collected by the target vehicle in response to a selection operation of at least one image of an adjacent vehicle displayed on a display device of the target vehicle; the display device displays at least one image of an adjacent vehicle and a driving level of each adjacent vehicle; and the at least one adjacent vehicle includes a vehicle adjacent to the target vehicle.

[0139] Step 202: Update the driving grade of the target adjacent vehicle based on the driving status of the target adjacent vehicle.

[0140] In one implementation, the cloud platform may update the driving grade of the target adjacent vehicle based on the driving status of the target adjacent vehicle and the historical driving status of the target adjacent vehicle.

[0141] Step 203 : sending the driving grade of the target adjacent vehicle to the target vehicle, so that the target vehicle adjusts the driving grade of the target adjacent vehicle displayed on the display device to the updated driving grade of the target adjacent vehicle.

[0142] From the above, it can be seen that in the driving level update method provided in the embodiment of the present application, after the cloud platform receives the driving status of the target adjacent vehicle sent by the target vehicle, it can update the driving level of the target adjacent vehicle based on the driving status. In this way, the accuracy of the updating process of the driving level of the target adjacent vehicle can be improved, thereby improving the accuracy of the updated driving level of the target adjacent vehicle; and, because the driving status of the target adjacent vehicle is collected by the target vehicle in response to the selection operation of at least one adjacent vehicle displayed on the display device of the target vehicle, the controllability, selectivity and flexibility of the driving level update process of the target adjacent vehicle can be improved; at the same time After sending the updated driving level of the target adjacent vehicle to the target vehicle, the display device of the target vehicle can display the updated driving level of the target adjacent vehicle, thereby enabling intuitive and real-time presentation of the updated driving level of the target adjacent vehicle; in summary, under the condition that the target vehicle is any vehicle, the cloud platform can update the driving level of the target adjacent vehicle according to the driving status of the target adjacent vehicle sent by any vehicle, thereby achieving flexible, anytime, anywhere, and comprehensive update of the driving level of the target vehicle, thereby solving the technical problem in the related technology that the vehicle's illegal driving behavior cannot be collected to update the vehicle's violation status due to the setting position of the image acquisition device.

[0143] Based on the above embodiments, in the driving level updating method provided in the embodiments of the present application, updating the driving level of the target vehicle based on the driving status of the target adjacent vehicle can be achieved in the following manner:

[0144] Receive environmental information of the target vehicle's environment sent by the target vehicle; and update the driving level of the target adjacent vehicle based on the environmental information and the driving status of the target adjacent vehicle.

[0145] From the above, it can be seen that in the driving level update method provided in the embodiment of the present application, when the cloud platform updates the driving level of the target adjacent vehicle, it can be based on the environmental information and the driving status of the target adjacent vehicle, thereby being able to achieve a comprehensive and associative update of the driving level of the target adjacent vehicle; and, the cloud platform updates the driving level of the target adjacent vehicle based on the environmental information and the driving status of the target adjacent vehicle, which also enables the cloud platform to further judge the driving status of the target adjacent vehicle based on the environmental information, thereby improving the accuracy and fairness of the cloud platform's update operation on the driving level of the target adjacent vehicle.

[0146] Based on the foregoing embodiment, in the driving grade updating method provided in the embodiment of the present application, before updating the driving grade of the target adjacent vehicle based on the driving state of the target adjacent vehicle, the following steps may also be included:

[0147] Step A1: Obtain historical traffic information of target approaching vehicles sent by the traffic management platform.

[0148] In one embodiment, the traffic management platform may include a network platform of a government department for managing vehicle movement, traffic rule enforcement, traffic dispute resolution, and driver's license management.

[0149] In one embodiment, the traffic management platform is a network platform that can assess, restrict and manage the illegal or unlawful driving behaviors of vehicles.

[0150] In one implementation, the historical traffic information of the target adjacent vehicle may include information on points or fines deducted from the target adjacent vehicle due to violations of traffic regulations during historical driving.

[0151] In one implementation, the cloud platform may obtain historical traffic information of registered vehicles from a traffic management platform based on the information of registered vehicles.

[0152] Step A2: Determine the driving grade of the target approaching vehicle based on the historical traffic information of the target approaching vehicle.

[0153] In one embodiment, when the cloud platform has not set the driving level of the target adjacent vehicle, the cloud platform can determine the driving level of the target adjacent vehicle based on the illegal operations in the historical traffic information of the target adjacent vehicle, and then update the driving level of the target adjacent vehicle based on the driving status and environmental information of the target adjacent vehicle.

[0154] In one embodiment, under the condition that the cloud platform has set a driving level for the target adjacent vehicle, before each update of the driving level of the target adjacent vehicle, the cloud platform can obtain the historical traffic information of the target adjacent vehicle from the traffic management platform. If the historical traffic information of the target adjacent vehicle is updated, the driving level of the target adjacent vehicle is corrected based on the updated historical traffic information to obtain the corrected driving level of the target adjacent vehicle, and then the corrected driving level of the target adjacent vehicle is updated according to the driving status and environmental information of the target adjacent vehicle.

[0155] From the above, it can be seen that in the driving grade updating method provided in the embodiment of the present application, after the cloud platform obtains the historical traffic information of the target adjacent vehicle sent by the traffic management platform, it can determine the driving grade of the target adjacent vehicle based on the historical traffic information of the target adjacent vehicle. In this way, since the historical traffic information of the target adjacent vehicle is fully borrowed in the above determination process, the accuracy of the driving grade of the target adjacent vehicle can be improved; and, since the historical traffic information of the target adjacent vehicle sent by the traffic management platform is referred to in the above determination process, the strictness of the determination of the driving grade of the target adjacent vehicle can be greatly improved.

[0156] Based on the above embodiments, the present application also provides a target vehicle. Figure 3 A schematic diagram of the structure of the target vehicle provided in the embodiment of the present application, such as Figure 3 As shown, the target vehicle may include a first processor 301 and a first memory 302; wherein the first memory 302 stores a computer program; when the computer program is executed by the first processor 301, it can implement the driving level update method applied to the target vehicle as provided in any of the previous embodiments.

[0157] Based on the above embodiments, the present application also provides a cloud platform. Figure 4 A schematic diagram of the structure of the cloud platform provided in the embodiment of the present application is shown in FIG. Figure 4 As shown, the platform may include a second processor 401 and a second memory 402, wherein a computer program is stored in the second memory 402; when the computer program is executed by the second processor 402, it can implement the driving level update method applied to the cloud platform as provided in any of the previous embodiments.

[0158] The first processor and the second processor may be at least one of ASIC, DSP, DSPD, PLD, FPGA, CPU, controller, microcontroller, and microprocessor.

[0159] The first memory and the second memory may be volatile memory (volatile memory), such as random access memory (Random Access Memory, RAM); or non-volatile memory (non-volatile memory), such as read-only memory (Read-Only Memory, ROM), flash memory (flash memory), hard disk drive (Hard Disk Drive, HDD) or solid state drive (SSD); or a combination of the above types of memory, and provide instructions and data to the first processor and the second processor.

[0160] Based on the above embodiments, the present application also provides a driving level update system. Figure 5 This is a schematic diagram of the structure of the driving level update system provided in the embodiment of the present application, such as Figure 5 As shown, the system may include a target vehicle 3, a target adjacent vehicle 501, and a cloud platform 4 as provided in any of the previous embodiments.

[0161] The target vehicle 3 displays an image of at least one adjacent vehicle and a driving grade of each adjacent vehicle through a display device; wherein the at least one adjacent vehicle includes a vehicle adjacent to the target vehicle 3 .

[0162] The target vehicle 3 collects the driving status of the target adjacent vehicle 501 in response to the selection operation of the target adjacent vehicle 501 in the image of at least one adjacent vehicle, and sends the driving status of the target adjacent vehicle 501 to the cloud platform 4.

[0163] The cloud platform 4 updates the driving grade of the target approaching vehicle 501 based on the driving status of the target approaching vehicle 501 .

[0164] The target vehicle 3 receives and adjusts the driving level of the target adjacent vehicle 501 displayed on the display device to the updated driving level of the target adjacent vehicle 501 .

[0165] In some embodiments, the cloud platform 4 updates the driving grade of the target approaching vehicle 501 based on the driving status of the target approaching vehicle 501 and the historical driving status of the target approaching vehicle 501 .

[0166] In some embodiments, the target vehicle 3 collects environmental information of the environment in which the target adjacent vehicle 501 is located to send the environmental information to the cloud platform 4; the cloud platform 4 can update the driving level of the target adjacent vehicle 501 based on the environmental information and the driving status of the target adjacent vehicle 501.

[0167] In some embodiments, the cloud platform 4 may obtain the historical traffic information of the target approaching vehicle 501 sent by the traffic management platform; and then determine the driving level of the target approaching vehicle 501 based on the historical traffic information of the target approaching vehicle 501 .

[0168] In some embodiments, the display device of the target vehicle 3 displays an image of the target vehicle 3 and a driving level of the target vehicle 3, and the distribution of the image of at least one adjacent vehicle and the image of the target vehicle 3 in the display area of ​​the display device is consistent with the distribution of at least one adjacent vehicle and the target vehicle 3 in the physical environment; wherein the physical environment includes the environment in which the target vehicle 3 and at least one adjacent vehicle are located.

[0169] In some embodiments, if the driving level of the target approaching vehicle 501 before the update is different from the driving level of the target approaching vehicle 501 after the update, the driving level of the target approaching vehicle 501 before the update is displayed through the display device with a first display attribute, and the driving level of the target approaching vehicle 501 after the update is displayed through the display device with a second display attribute; wherein at least one parameter of the first display attribute and the second display attribute is different; the first display attribute and the second display attribute include at least one of brightness, shape, size and color.

[0170] In some embodiments, when the target vehicle 3 detects that the driving level of any adjacent vehicle is less than the level threshold, it outputs an alarm message; wherein the alarm message is used to prompt that an adjacent vehicle with a driving level less than the level threshold is detected.

[0171] As can be seen from the above, the driving level update system provided in the embodiment of the present application displays at least one image of an adjacent vehicle and the driving level of each adjacent vehicle on the display device of the target vehicle. In this way, the target vehicle can output the driving level of the adjacent vehicles of the target vehicle in real time and flexibly, thereby providing guarantee for the safe driving of the target vehicle; and, in response to the selection operation of the target adjacent vehicle in the image of at least one adjacent vehicle, the driving status of the target adjacent vehicle can be collected, thereby realizing the targeted selection and collection of the target adjacent vehicle and its driving status; at the same time, in the case where the target adjacent vehicle is any vehicle around the target vehicle, by collecting the driving status of the target adjacent vehicle, it is possible to provide flexible collection of the driving status of any vehicle anytime and anywhere; on the other hand, the updated driving level of the target adjacent vehicle acquired and displayed by the target vehicle is based on the target adjacent vehicle. The driving status of the adjacent vehicle is determined, thereby improving the accuracy of the updated driving level of the target adjacent vehicle; on this basis, when the target vehicle is any vehicle, the driving level update method provided in the embodiment of the present application can achieve targeted, real-time and flexible management of the driving level of the target adjacent vehicle based on the driving status of the target adjacent vehicle uploaded by any vehicle, thereby establishing a anytime, anywhere, networked, transparent and highly flexible vehicle driving status supervision mechanism, and providing a level update mechanism that can continuously update the driving level; by updating the driving level of the target adjacent vehicle based on the form status of the target adjacent vehicle, the driving level of the target adjacent vehicle is accurately quantified, thereby solving the technical problem in the related technology that the vehicle's illegal driving behavior cannot be collected to update the vehicle's driving safety level due to the limitation of the setting position of the image acquisition device.

[0172] Based on the foregoing embodiments, an embodiment of the present application further provides a computer-readable storage medium, in which a computer program is stored; when the computer program is executed by a processor of an electronic device, the driving level update method provided in any of the previous embodiments can be implemented.

[0173] The above description of various embodiments tends to emphasize the differences between the various embodiments. The same or similar aspects can be referenced to each other, and for the sake of brevity, they will not be repeated herein.

[0174] The methods disclosed in the various method embodiments provided in this application can be arbitrarily combined without conflict to obtain new method embodiments.

[0175] The features disclosed in the various product embodiments provided in this application can be arbitrarily combined without conflict to obtain new product embodiments.

[0176] The features disclosed in the various method or device embodiments provided in this application can be arbitrarily combined without conflict to obtain new method embodiments or device embodiments.

[0177] It should be noted that the above-mentioned computer-readable storage medium can be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), a magnetic random access memory (FRAM), a flash memory (Flash Memory), a magnetic surface memory, an optical disc, or a compact disc read-only memory (CD-ROM) and other memories; it can also be various electronic devices including one or any combination of the above-mentioned memories, such as mobile phones, computers, tablet devices, personal digital assistants, etc.

[0178] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or device including the element.

[0179] The serial numbers of the above-mentioned embodiments of the present application are for description only and do not represent the advantages or disadvantages of the embodiments.

[0180] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus necessary general hardware nodes, and of course can also be implemented by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes a number of instructions for a terminal device (which can be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods described in each embodiment of the present application.

[0181] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0182] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0183] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0184] The above are only preferred embodiments of the present application, and are not intended to limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the present application specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present application.

Claims

1. A driving level updating method, characterized in that: The method is applied to a target vehicle; the method comprises: Displaying an image of at least one adjacent vehicle and a driving grade of each adjacent vehicle through a display device of the target vehicle; wherein the at least one adjacent vehicle includes a vehicle adjacent to the target vehicle; the driving grade is a level mark indicating the degree of deviation of the driving behavior of the adjacent vehicle from traffic rules or traffic regulations; In response to a selection operation of a target adjacent vehicle in the at least one adjacent vehicle image, collecting a driving state of the target adjacent vehicle; Collecting environmental information of the environment in which the target vehicle is located; Sending the environmental information to a cloud platform, so that the cloud platform can update the driving grade of the target adjacent vehicle based on the environmental information and the driving status of the target adjacent vehicle; or, Sending the driving status of the target adjacent vehicle to the cloud platform, so that the cloud platform updates the driving grade of the target adjacent vehicle based on the driving status of the target adjacent vehicle and the historical driving status of the target adjacent vehicle; Acquire the updated driving grade of the target approaching vehicle sent by the cloud platform; wherein the updated driving grade of the target approaching vehicle is determined based on the driving state of the target approaching vehicle; The driving level of the target approaching vehicle displayed on the display device is adjusted to the updated driving level of the target approaching vehicle.

2. The method according to claim 1, characterized in that The method further comprises: The display device also displays an image of the target vehicle and a driving level of the target vehicle, and distribution of the image of the at least one adjacent vehicle and the image of the target vehicle in a display area of ​​the display device is consistent with distribution of the at least one adjacent vehicle and the target vehicle in a physical environment; wherein the physical environment includes the environment in which the target vehicle and the at least one adjacent vehicle are located.

3. The method according to claim 1, characterized in that The method further comprises: If the driving grade of the target approaching vehicle before being updated is different from the driving grade of the target approaching vehicle after being updated, the driving grade of the target approaching vehicle before being updated is displayed through the display device with a first display attribute, and the driving grade of the target approaching vehicle after being updated is displayed through the display device with a second display attribute; wherein at least one parameter of the first display attribute is different from that of the second display attribute; and the first display attribute and the second display attribute include at least one of brightness, shape, size and color.

4. The method according to claim 1, characterized in that: The method further comprises: When it is detected that the driving level of any adjacent vehicle is less than the level threshold, an alarm message is output; wherein the alarm message is used to prompt that an adjacent vehicle with a driving level less than the level threshold is detected.

5. A driving level updating method, characterized in that: The method is applied to a cloud platform, and the method comprises: receiving a driving state of a target adjacent vehicle sent by a target vehicle; wherein the driving state of the target adjacent vehicle is collected by the target vehicle in response to a selection operation of at least one adjacent vehicle image displayed on a display device of the target vehicle; the display device displays at least one adjacent vehicle image and a driving grade of each adjacent vehicle; the at least one adjacent vehicle includes a vehicle adjacent to the target vehicle; the driving grade is a level mark indicating the degree of deviation of the driving behavior of the adjacent vehicle from traffic rules or traffic specifications; Receiving environmental information of the environment in which the target vehicle is located, sent by the target vehicle; Based on the environmental information and the driving state of the target adjacent vehicle, updating the driving grade of the target adjacent vehicle; or, updating the driving grade of the target adjacent vehicle based on the driving state of the target adjacent vehicle and the historical driving state of the target adjacent vehicle; The driving grade of the target adjacent vehicle is sent to the target vehicle, so that the target vehicle adjusts the driving grade of the target adjacent vehicle displayed on the display device to the updated driving grade of the target adjacent vehicle.

6. The method according to claim 5, characterized in that Before updating the driving grade of the target adjacent vehicle based on the driving state of the target adjacent vehicle, the method further includes: Acquire historical traffic information of vehicles approaching the target sent by the traffic management platform; Based on the historical traffic information of the target adjacent vehicle, a driving grade of the target adjacent vehicle is determined.

7. A driving level update system, characterized in that: The system includes a target vehicle and a cloud platform; wherein: The target vehicle comprises a first processor and a first memory; a computer program is stored in the first memory; when the computer program is executed by the first processor, the driving level updating method according to any one of claims 1 to 4 can be implemented; The cloud platform includes a second processor and a second memory; a computer program is stored in the second memory; when the computer program is executed by the second processor, the driving level update method as described in claim 5 or 6 can be implemented.

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