CN118269659A

CN118269659A - Device application recommendation method, device, computer device and storage medium

Info

Publication number: CN118269659A
Application number: CN202410355749.1A
Authority: CN
Inventors: 裴小丽; 杨公孝; 赵默涵; 李长龙; 张佳; 李昭璐; 高华檍; 杨冬雨
Original assignee: FAW Group Corp
Current assignee: FAW Group Corp
Filing date: 2024-03-27
Publication date: 2024-07-02

Abstract

The application relates to the technical field of intelligent driving, in particular to a device application recommendation method, a device, computer equipment and a storage medium. The method comprises the following steps: acquiring driving scene data; acquiring in-vehicle personnel data according to the driving scene data, wherein the in-vehicle personnel data comprises the number of in-vehicle people and the identity of the personnel; and determining an application program type for recommendation according to the number of people in the vehicle and the identities of the people, and displaying the application program type on a vehicle-to-machine interface for serving as an application identifier of a running entrance. By adopting the method, the application requirements of the vehicle and the machine can be intelligently matched according to the user conditions in the vehicle on the premise of not influencing the driving safety.

Description

Device application recommendation method, device, computer device and storage medium

Technical Field

The application relates to the technical field of intelligent driving, in particular to a device application recommendation method, a device, computer equipment and a storage medium.

Background

With the continuous development of automobile technology, automobile machines have become an important component of automobiles. The vehicle interface is used as a window for the interaction of the user and the vehicle system, and is important for the user experience. However, the existing car-machine interface has the defect of intelligent matching, and can not be flexibly changed according to the requirements of users under different use scenes, so that the operation load of the users is increased.

In a driving scene, application requirements of different users in the vehicle on the vehicle are different, but the existing vehicle-to-machine interface cannot be matched with the requirements of the users intelligently, so that the users can find the required functions only by carrying out complicated operations, and the operation load of the users is increased, and the driving safety is possibly influenced.

Therefore, there is a need for a device application recommendation method, a device, a computer device and a storage medium, which can intelligently match the application requirements of a vehicle machine according to the user conditions in the vehicle without affecting the driving safety.

Disclosure of Invention

In view of the foregoing, it is desirable to provide a device application recommendation method, apparatus, computer device, computer readable storage medium, and computer program product that can intelligently match the application requirements of a vehicle according to the user situation in the vehicle without affecting the driving safety.

In a first aspect, the present application provides a device application recommendation method, including:

Acquiring driving scene data;

Acquiring in-vehicle personnel data according to the driving scene data, wherein the in-vehicle personnel data comprises the number of in-vehicle people and the identity of the personnel;

And determining an application program type for recommendation according to the number of people in the vehicle and the identities of the people, and displaying the application program type on a vehicle-to-machine interface for serving as an application identifier of a running entrance.

In one embodiment, the determining the type of the application program for recommendation according to the number of people in the vehicle and the identity of the people comprises:

Under the condition that the number of people in the vehicle is 1 and the identity of the person sitting in the main driver seat is the main driver, acquiring departure place, destination and route information of the highest historical driving frequency selected by the main driver;

a map navigation application is used as an application type for recommendation, the map navigation application being used to highlight departure place, destination and route information identifying the highest frequency of the history.

When the number of persons in the vehicle is not 1 and the identity of the person sitting in the passenger is child, the map navigation application and the child entertainment application are used as application types for recommendation.

In one embodiment, the in-vehicle personnel data further includes personnel age data; the method further comprises the steps of:

And setting the physical keys and the virtual keys of the vehicle to be in an anti-false touch mode under the condition that the identity of the person sitting in the copilot is a child and the corresponding personal age data of the child is lower than a preset age threshold.

In one embodiment, the displaying, on the vehicle interface, the application identifier of the application type as the running entry includes:

And when the number of people in the vehicle is not 1 and the identity of the person sitting in the copilot is a child, dividing a display area for the vehicle-to-machine interface, and displaying application identifications of the map navigation application program and the child entertainment application program, which are used as running entrances, in the corresponding display areas.

In one embodiment, the vehicle-to-machine interface divides a display area, including:

Acquiring historical driving route information of a current vehicle under the condition that the number of people in the vehicle is not 1 and the secondary driver is determined to be a child according to the personnel identity;

acquiring the driving familiarity of a main driver under the current driving road condition according to the historical driving route information;

Dividing a display area for a vehicle-computer interface according to the driving familiarity; wherein the display area of the map navigation application is inversely related to the driving familiarity.

In a second aspect, the present application further provides an apparatus for recommending device applications, including:

the acquisition module is used for acquiring driving scene data;

the processing module is used for acquiring in-vehicle personnel data according to the driving scene data, wherein the in-vehicle personnel data comprises the number of in-vehicle people and the identity of the personnel;

The processing module is also used for determining the type of the application program for recommendation according to the number of people in the vehicle and the identities of the people;

and the display module is used for displaying the application type on the vehicle-computer interface and the application identifier serving as the operation entrance.

In a third aspect, the present application also provides a computer device comprising a memory and a processor, the memory storing a computer program, the processor implementing the following steps when executing the computer program:

Acquiring driving scene data;

In a fourth aspect, the present application also provides a computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of:

Acquiring driving scene data;

In a fifth aspect, the application also provides a computer program product comprising a computer program which, when executed by a processor, performs the steps of:

Acquiring driving scene data;

The device application recommendation method, the device, the computer readable storage medium and the computer program product can enable a user to find the required functions more easily by intelligently matching the user requirements, reduce complicated operation and further improve the satisfaction degree of the user on the vehicle system. According to the intelligent recommendation application program of the personnel conditions in the vehicle, the operation load of the user in the driving process is reduced, and the driving risk caused by distraction operation is reduced. The recommended application program type can be determined according to the number of people in the vehicle and the identities of the people, more personalized service is provided, and the requirements of different users in different scenes are met. And the user can directly enter the required application program through the displayed application identifier, so that the time waste of searching in a plurality of functions is avoided, and the operation efficiency is improved.

Drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the related art, the drawings that are required to be used in the embodiments or the related technical descriptions will be briefly described, and it is apparent that the drawings in the following description are only some embodiments of the present application, and other drawings may be obtained according to the drawings without inventive effort for those skilled in the art.

FIG. 1 is an application environment diagram of a device application recommendation method in one embodiment;

FIG. 2 is a flow diagram of a device application recommendation method in one embodiment;

FIG. 3 is a flowchart of a device application recommendation method according to another embodiment;

FIG. 4 is a block diagram of an apparatus application recommendation device in one embodiment;

Fig. 5 is an internal structural diagram of a computer device in one embodiment.

Detailed Description

The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.

The device application recommendation method provided by the embodiment of the application can be applied to an application environment shown in fig. 1. Wherein the terminal 102 communicates with the server 104 via a network. The data storage system may store data that the server 104 needs to process. The data storage system may be integrated on the server 104 or may be located on a cloud or other network server.

The terminal 102 acquires driving scene data; according to driving scene data, acquiring in-vehicle personnel data, wherein the in-vehicle personnel data comprises the number of in-vehicle personnel and personnel identity; and determining the type of the application program for recommendation according to the number of people in the vehicle and the identities of the people, and displaying the type of the application program on a vehicle-computer interface for serving as an application identifier of a running entrance.

The terminal 102 may be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers, internet of things devices, and portable wearable devices, where the internet of things devices may be smart speakers, smart televisions, smart air conditioners, smart vehicle devices, and the like. The portable wearable device may be a smart watch, smart bracelet, headset, or the like. The server 104 may be implemented as a stand-alone server or as a server cluster of multiple servers.

In an exemplary embodiment, as shown in fig. 2, a device application recommendation method is provided, and an example of application of the method to the terminal in fig. 1 is described, including the following steps S202 to S206. Wherein:

Step S202, driving scene data is acquired.

Specifically, "acquiring driving scenario data" means that the system will collect information related to the current driving environment, such as the running speed of the vehicle, road conditions, weather conditions, etc. Such data may help the system to learn about the specifics of the vehicle.

Step S204, according to driving scene data, acquiring in-vehicle personnel data, wherein the in-vehicle personnel data comprises the number of in-vehicle personnel and the identity of personnel.

Specifically, "acquiring in-vehicle personnel data according to driving scene data" means that the system further acquires relevant information of in-vehicle personnel according to the driving scene data collected previously. The "in-vehicle personnel data" herein includes the number of persons in the vehicle and the identity of each person.

Through the steps, the system can comprehensively know the driving scene and the conditions of personnel in the vehicle, and provides basis for the follow-up intelligent application program recommendation according to the user requirements. For example, according to the number of people and the identities of people in the vehicle, the system can judge whether children passengers exist or not, and then recommend entertainment application suitable for children; or recommending applications related to the current road condition or weather, such as navigation or weather forecast, according to the driving scene data.

Step S206, determining the type of the application program for recommendation according to the number of people in the vehicle and the identities of the people, and displaying the type of the application program on a vehicle-computer interface for serving as an application identifier of a running entrance.

Specifically, the system will determine the type of application that is appropriate for recommendation based on the number of people and the identity of the people in the vehicle. For example, if a child is present in the vehicle, some entertainment applications suitable for the child may be recommended; if there are elderly people, some health related applications may be recommended.

The system will then display on the car interface the identification of these application types, which are just like the "portals" of the applications, allowing the user to easily find and access the applications they need. Thus, the user does not need to find hard among numerous applications, but can quickly find applications of interest to them through these identifications. For example, a child Tong Tubiao may be displayed on the car interface, indicating that this is the entrance to a child entertainment application. The user can enter the corresponding application by clicking the icon, and enjoy entertainment content suitable for children. The design not only improves the operation efficiency of the user, but also ensures that the vehicle-mounted system is more intelligent and personalized,

In the equipment application recommendation method, the user can find the required functions more easily by intelligently matching the user requirements, and complicated operation is reduced, so that the satisfaction degree of the user on the vehicle-mounted system is improved. According to the intelligent recommendation application program of the personnel conditions in the vehicle, the operation load of the user in the driving process is reduced, and the driving risk caused by distraction operation is reduced. The recommended application program type can be determined according to the number of people in the vehicle and the identities of the people, more personalized service is provided, and the requirements of different users in different scenes are met. And the user can directly enter the required application program through the displayed application identifier, so that the time waste of searching in a plurality of functions is avoided, and the operation efficiency is improved.

In one exemplary embodiment, as shown in fig. 3, determining the application type for recommendation based on the number of people in the vehicle and the identity of the people includes:

Step S302, when the number of people in the vehicle is 1 and the identity of the person sitting in the main driving position is the main driver, acquiring departure place, destination and route information of the historic highest driving frequency selected by the main driver;

Step S304, using the map navigation application as an application type for recommendation, the map navigation application is used for highlighting departure place, destination and route information identifying the highest frequency of history.

Specifically, when there is only one person in the vehicle and the person sits on the main driving position and the identity of the person is the main driver, the system may acquire the departure place, destination and route information selected by the main driver and having the highest historical driving frequency.

The system will then determine the map navigation application as the recommended application type. The map navigation application will particularly highlight the most frequent departure, destination and route information (e.g., going to company, going home, etc.) so that the host driver can more easily see these common locations and routes while using navigation.

In this embodiment, common departure places, destinations, and routes are automatically recommended according to driving habits and history data, and highlighted in the map navigation application. Therefore, the user can find familiar routes more quickly when using navigation, and the travel efficiency is improved.

In one exemplary embodiment, determining the application type for recommendation based on the number of people in the vehicle and the identity of the people includes:

Specifically, the system determines other occupant conditions on the vehicle by using a seat sensor, an OMS camera and voice, and when the number of occupants in the vehicle is not 1 and the identity of the occupant sitting in the co-driver is child, the system determines the map navigation application and the child entertainment application as recommended application types.

This is because some entertainment activity may be required for the child to get on time, so the system may recommend a child entertainment application. At the same time, map navigation applications are useful to all in-vehicle people and therefore are recommended.

In this embodiment, more personalized services are provided according to the needs of different personnel in the vehicle. If a child is present in the vehicle, the time may be eliminated by the child entertainment application, and the map navigation application may also be conveniently used by the primary driver.

In one exemplary embodiment, the in-vehicle personnel data further includes personnel age data; the method further comprises the steps of:

Specifically, the in-vehicle personnel data also includes age data of the personnel. When the person sitting in the co-driver seat is a child and the child's age is below a preset age threshold, the system sets the physical keys and virtual keys of the vehicle to an anti-false mode. The child may inadvertently touch the keys of the car machine, resulting in unnecessary operations or affecting driving safety. Therefore, setting the keys to the false touch prevention mode may reduce such risk. For example, the system may make the key require a greater force to press or provide some protection measures on the key, so that a child cannot easily touch the key by mistake. Thus, the safety of children can be ensured, and parents can be more confident.

In this embodiment, the physical keys and the virtual keys of the vehicle are set to be in the anti-false touch mode, so that the possibility of false touching of the keys by children can be effectively reduced, and the safety risk caused by false operation is reduced. The child is prevented from carelessly operating the car machine, the damage risk to the car machine equipment is reduced, and the service life of the equipment is prolonged. Parents can let children sit in the copilot more reassuringly, do not worry that they touch the button by mistake and influence driving or cause other problems, have promoted holistic user experience. By reducing the misoperation, the system can run more stably, and the abnormal situation caused by the false touch is reduced.

In one exemplary embodiment, displaying an application type at an on-board interface for application identification as a run portal includes:

And when the number of people in the vehicle is not 1 and the identity of the person sitting in the copilot is a child, dividing a display area for the vehicle-computer interface, and displaying application identifications of the map navigation application program and the child entertainment application program, which are used as running entrances, in the corresponding display areas.

Specifically, when the number of people in the vehicle is not 1 (i.e., there are multiple people in the vehicle), and the identity of the person sitting in the co-driver's seat is a child, the vehicle may divide the interface and display different areas. In these areas, entry identifications for the map navigation application and the child entertainment application, respectively, are displayed. By "dividing the display area" is meant dividing the display screen into different areas on the vehicle-to-machine interface, each area displaying an identification of a particular type of application. For example, in this case, the vehicle interface may be divided into two regions: one area displays exclusively the identity of the map navigation application and the other area displays the identity of the child entertainment application. Such partitioning may make it easier for users to find applications they need without being disturbed by other unrelated applications. It should be noted that, when the co-driver is an adult, the recommended application program can also be determined according to the identity and age of the adult, so as to meet the entertainment requirement of the co-driver or the use requirement of other applications.

In this embodiment, the above design may enhance the user experience, especially for children, who may more intuitively find entertainment applications suitable for them. Meanwhile, practical application programs such as map navigation and the like can be found more conveniently for a driver, and the entertainment experience of a co-driver child cannot be affected when the driver needs to use the map navigation.

In one exemplary embodiment, dividing a display area for a vehicle-to-machine interface includes:

Specifically, first, the system determines that the number of persons in the vehicle is not 1, and determines that the passenger of the passenger seat is a child based on the person's identity. It then obtains historical driving route information for the current vehicle. Next, based on these historical driving route information, the system may determine the driving familiarity of the host driver under the current driving road condition. This familiarity may be measured based on the primary driver's previous driving experience on the route. Finally, according to the driving familiarity, the display area of the vehicle-machine interface is divided. Specifically, the display area of the map navigation application is inversely related to the travel familiarity. This means that if the host driver is more familiar with the current driving situation, the display area of the map navigation application will be relatively small; conversely, if the primary driver is less familiar with road conditions, the display area of the map navigation application will be larger to provide more navigation information.

In this embodiment, the display area of the vehicle-machine interface is divided according to the driving familiarity of the main driver, so that the display of the map navigation application program is more personalized, and the requirements of different drivers are satisfied. When the main driver is unfamiliar with road conditions, the display area of the map navigation application program is enlarged, more navigation information can be provided, the driver is helped to better know the road conditions, and the driving safety is improved. The size of the display area of the map navigation application program is adjusted according to the driving familiarity, so that the waste of the display area is avoided, and the space of the vehicle-computer interface is utilized more reasonably.

It should be understood that, although the steps in the flowcharts related to the embodiments described above are sequentially shown as indicated by arrows, these steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the flowcharts described in the above embodiments may include a plurality of steps or a plurality of stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily performed sequentially, but may be performed alternately or alternately with at least some of the other steps or stages.

Based on the same inventive concept, the embodiment of the application also provides a device application recommendation device for realizing the device application recommendation method. The implementation of the solution provided by the device is similar to the implementation described in the above method, so the specific limitation in the embodiments of the device application recommendation device or device application recommendation devices provided below may refer to the limitation of the device application recommendation method hereinabove, and will not be described herein.

In an exemplary embodiment, as shown in fig. 4, there is provided a device application recommendation apparatus, including: an acquisition module 402, configured to acquire driving scenario data;

the processing module 404 is configured to obtain in-vehicle personnel data according to driving scene data, where the in-vehicle personnel data includes the number of in-vehicle people and the identity of the personnel;

The processing module 404 is further configured to determine an application type for recommendation according to the number of people in the vehicle and the identity of the people;

and the display module 406 is used for displaying the application type on the vehicle interface and the application identifier serving as a running entry.

In an exemplary embodiment, the obtaining module 402 is further configured to obtain, when the number of people in the vehicle is 1 and the identity of the person sitting in the main driving seat is the main driver, information of a departure place, a destination, and a route of the highest historical driving frequency selected by the main driver;

the processing module 404 is further configured to use a map navigation application as an application type for recommendation, where the map navigation application is configured to highlight departure, destination and route information that identifies a highest frequency of history.

In one exemplary embodiment, the processing module 404 is further configured to use the map navigation application and the child entertainment application as application types for recommendation in the case where the number of people in the vehicle is not 1 and the identity of the person sitting in the co-driver is child.

In one exemplary embodiment, the in-vehicle personnel data further includes personnel age data; the processing module 404 is further configured to set the physical key and the virtual key of the vehicle to an anti-false touch mode when the identity of the person seated in the co-driver is a child and the corresponding person age data of the child is lower than a preset age threshold.

In an exemplary embodiment, the processing module 404 is further configured to divide the display area for the vehicle-computer interface when the number of people in the vehicle is not 1 and the identity of the person sitting in the co-driver seat is a child; the display module 406 is further configured to display, in the corresponding display area, an application identifier for each of the map navigation application program and the child entertainment application program as a running portal.

In an exemplary embodiment, the obtaining module 402 is further configured to obtain, when the number of people in the vehicle is not 1 and the co-driver is determined to be a child according to the person identity, historical driving route information of the current vehicle;

The processing module 404 is further configured to obtain a driving familiarity of the main driver under the current driving road condition according to the historical driving route information;

The processing module 404 is further configured to divide a display area for the vehicle-computer interface according to the driving familiarity; wherein the display area of the map navigation application is inversely related to the driving familiarity.

The respective modules in the above-described device application recommendation apparatus may be implemented in whole or in part by software, hardware, and a combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.

In one exemplary embodiment, a computer device is provided, which may be a terminal, and an internal structure diagram thereof may be as shown in fig. 5. The computer device includes a processor, a memory, an input/output interface, a communication interface, a display unit, and an input means. The processor, the memory and the input/output interface are connected through a system bus, and the communication interface, the display unit and the input device are connected to the system bus through the input/output interface. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The input/output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless mode can be realized through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. The computer program is executed by a processor to implement a device application recommendation method. The display unit of the computer device is used for forming a visual picture, and can be a display screen, a projection device or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, can also be a key, a track ball or a touch pad arranged on the shell of the computer equipment, and can also be an external keyboard, a touch pad or a mouse and the like.

It will be appreciated by those skilled in the art that the structure shown in FIG. 5 is merely a block diagram of some of the structures associated with the present inventive arrangements and is not limiting of the computer device to which the present inventive arrangements may be applied, and that a particular computer device may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.

In one exemplary embodiment, a computer device is provided comprising a memory and a processor, the memory having stored therein a computer program, the processor when executing the computer program performing the steps of:

Acquiring driving scene data;

According to driving scene data, acquiring in-vehicle personnel data, wherein the in-vehicle personnel data comprises the number of in-vehicle personnel and personnel identity;

And determining the type of the application program for recommendation according to the number of people in the vehicle and the identities of the people, and displaying the type of the application program on a vehicle-computer interface for serving as an application identifier of a running entrance.

In one embodiment, the processor when executing the computer program further performs the steps of:

determining the type of the application program for recommendation according to the number of people in the vehicle and the identities of the people, wherein the method comprises the following steps:

the map navigation application is used as an application type for recommendation, and is used for highlighting departure place, destination and route information for identifying the highest frequency of history.

the personnel data in the vehicle further comprises personnel age data; the method further comprises the steps of:

Displaying an application program type on a vehicle interface for an application identifier serving as a running entry, wherein the application program type comprises the following components:

Dividing a display area for a vehicle-to-machine interface, comprising:

In one embodiment, a computer readable storage medium is provided having a computer program stored thereon, which when executed by a processor, performs the steps of:

Acquiring driving scene data;

In one embodiment, the computer program when executed by the processor further performs the steps of:

Dividing a display area for a vehicle-to-machine interface, comprising:

In one embodiment, a computer program product is provided comprising a computer program which, when executed by a processor, performs the steps of:

Acquiring driving scene data;

Dividing a display area for a vehicle-to-machine interface, comprising:

It should be noted that, the user information (including but not limited to user equipment information, user personal information, etc.) and the data (including but not limited to data for analysis, stored data, presented data, etc.) related to the present application are both information and data authorized by the user or sufficiently authorized by each party, and the collection, use and processing of the related data are required to meet the related regulations.

Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magneto-resistive random access Memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric Memory (Ferroelectric Random Access Memory, FRAM), phase change Memory (PHASE CHANGE Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can be in various forms such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), etc. The databases referred to in the embodiments provided herein may include at least one of a relational database and a non-relational database. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processor referred to in the embodiments provided in the present application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic unit, a data processing logic unit based on quantum computing, or the like, but is not limited thereto.

The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.

The foregoing examples illustrate only a few embodiments of the application and are described in detail herein without thereby limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of the application should be assessed as that of the appended claims.

Claims

1. A device application recommendation method, the method comprising:

Acquiring driving scene data;

2. The method of claim 1, wherein determining the type of application for recommendation based on the number of people in the vehicle and the identity of the people comprises:

3. The method of claim 1, wherein determining the type of application for recommendation based on the number of people in the vehicle and the identity of the people comprises:

4. The method of claim 1, wherein the in-vehicle personnel data further comprises personnel age data; the method further comprises the steps of:

5. A method according to claim 3, wherein displaying the application type on a vehicle interface for application identification as a running portal comprises:

6. The method of claim 1, wherein the dividing the display area for the vehicle interface comprises:

7. A device application recommendation apparatus, the apparatus comprising:

the acquisition module is used for acquiring driving scene data;

8. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 6 when the computer program is executed.

9. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 6.

10. A computer program product comprising a computer program, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 6.