CN115080788A - Music pushing method and device, storage medium and vehicle - Google Patents

Music pushing method and device, storage medium and vehicle Download PDF

Info

Publication number
CN115080788A
CN115080788A CN202210963907.2A CN202210963907A CN115080788A CN 115080788 A CN115080788 A CN 115080788A CN 202210963907 A CN202210963907 A CN 202210963907A CN 115080788 A CN115080788 A CN 115080788A
Authority
CN
China
Prior art keywords
music
user
vehicle
target
model
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202210963907.2A
Other languages
Chinese (zh)
Inventor
王岩
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Xiaomi Automobile Technology Co Ltd
Original Assignee
Xiaomi Automobile Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Xiaomi Automobile Technology Co Ltd filed Critical Xiaomi Automobile Technology Co Ltd
Priority to CN202210963907.2A priority Critical patent/CN115080788A/en
Publication of CN115080788A publication Critical patent/CN115080788A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/60Information retrieval; Database structures therefor; File system structures therefor of audio data
    • G06F16/63Querying
    • G06F16/635Filtering based on additional data, e.g. user or group profiles
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/60Information retrieval; Database structures therefor; File system structures therefor of audio data
    • G06F16/68Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/686Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using information manually generated, e.g. tags, keywords, comments, title or artist information, time, location or usage information, user ratings
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/60Information retrieval; Database structures therefor; File system structures therefor of audio data
    • G06F16/68Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/687Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using geographical or spatial information, e.g. location

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Multimedia (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Library & Information Science (AREA)
  • Reverberation, Karaoke And Other Acoustics (AREA)

Abstract

The present disclosure relates to a music pushing method, a music pushing device, a storage medium and a vehicle, wherein the method is applied to the vehicle, and comprises the following steps: acquiring user information in a vehicle; determining a target music pushing model under the condition that the vehicle is determined to include a second user except the first user according to the user information, wherein the target music pushing model and the first music pushing model of the first user are arranged independently; and pushing music for the user in the vehicle through the target music pushing model. By adopting the mode, the first music pushing model of the first user can be prevented from being polluted by other users, and the music pushed by the first music pushing model is matched with the favorite music of the first user.

Description

Music pushing method and device, storage medium and vehicle
Technical Field
The disclosure relates to the technical field of intelligent cabins, in particular to a music pushing method and device, a storage medium and a vehicle.
Background
Listening to music is a common behavior of a user during a car. In the related technology, a music streaming media service provider can provide music recommendation service, so that music can be recommended to a user according to the hobbies of the user, and the song listening experience of the user is improved.
However, in a related scenario, the matching degree between the music style recommended by the music recommendation service and the music style preferred by the user may be low, thereby affecting the user's experience of listening to songs.
Disclosure of Invention
In order to overcome the problems in the related art, the present disclosure provides a music push method, a music push device, a storage medium, and a vehicle.
According to a first aspect of the embodiments of the present disclosure, there is provided a music pushing method, including:
acquiring user information in a vehicle;
determining a target music pushing model under the condition that the vehicle is determined to include a second user except the first user according to the user information, wherein the target music pushing model and the first music pushing model of the first user are arranged independently;
and pushing music for the user in the vehicle through the target music pushing model.
Optionally, the determining a target music push model includes:
determining a target type of a user in the vehicle according to the user information;
and determining the target music pushing model according to the target type.
Optionally, the determining the target music push model according to the target type includes:
acquiring the association relation between the type of a user under the same account and a music pushing model;
and inquiring the association relation according to the target type to obtain the target music pushing model.
Optionally, the method further comprises:
under the condition that the association relation does not comprise the music pushing model of the target type, newly adding the music pushing model of the target type;
maintaining the target type and the music push model of the target type in the association relation;
the target music pushing model comprises:
and taking the newly added music push model of the target type as the target music push model.
Optionally, in a case that it is determined that a second user other than the first user is included in the vehicle according to the user information, determining a target music push model includes:
and taking a child music pushing model as the target music pushing model under the condition that the child user is determined to be included in the vehicle according to the user information.
Optionally, comprising:
and under the condition that the vehicle does not comprise a second user according to the user information, pushing music for the first user according to the first music pushing model.
Optionally, the pushing music for the user in the vehicle through the target music pushing model includes:
acquiring destination information of the vehicle;
determining a target music type matching the destination information;
determining target music to be pushed according to the destination information and the target music type;
pushing the target music for a user in the vehicle.
According to a second aspect of the embodiments of the present disclosure, there is provided a music pushing apparatus including:
a first acquisition module configured to acquire user information in a vehicle;
a first determination module configured to determine a target music push model, which is set independently of a first music push model of a first user, in a case where it is determined from the user information that a second user other than the first user is included in the vehicle;
a first music push module configured to push music for a user in the vehicle through the target music push model.
Optionally, the first determining module includes:
a first determination submodule configured to determine a target type of a user in the vehicle from the user information;
a second determining sub-module configured to determine the target music push model according to the target type.
Optionally, the second determining sub-module includes:
the first acquisition subunit is configured to acquire an association relation between the type of the user under the same account and the music push model;
the first query subunit is configured to query the association relationship according to the target type to obtain the target music push model.
Optionally, the method further comprises:
a first executing module configured to add a new music push model of the target type if the association relationship does not include the music push model of the target type;
the second execution module is configured to maintain the target type and the music push model of the target type in the association relation;
the first determining module includes:
a first execution sub-module configured to use the newly added music push model of the target type as the target music push model.
Optionally, the first determining module includes:
a second execution sub-module configured to take a child music push model as the target music push model in a case where it is determined that a child user is included in the vehicle according to the user information.
Optionally, comprising:
a second music push module configured to push music for the first user according to the first music push model if it is determined that a second user is not included in the vehicle according to the user information.
Optionally, the first music pushing module includes:
a first acquisition sub-module configured to acquire destination information of the vehicle;
a third determination sub-module configured to determine a target music type matching the destination information;
a fourth determining submodule configured to determine target music to be pushed according to the destination information and the target music type;
a push sub-module configured to push the target music by a user in the vehicle.
According to a third aspect of the embodiments of the present disclosure, there is provided a music pushing apparatus including:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to perform the steps of the method of any of the first aspects above.
According to a fourth aspect of the embodiments of the present disclosure, there is provided a vehicle including the music pushing apparatus described in the third aspect above.
According to a fifth aspect of embodiments of the present disclosure, there is provided a computer-readable storage medium having stored thereon computer program instructions which, when executed by a processor, implement the steps of the method of any one of the above-mentioned first aspects.
According to the technical scheme, the user information in the vehicle can be acquired, and whether a second user except the first user is included in the vehicle is determined according to the user information. When a second user other than the first user is included in the vehicle, a target music push model that is set independently of the first music push model of the first user may be determined. In this way, music may be pushed for a user in a vehicle according to a targeted music push model. By adopting the mode, the first music pushing model of the first user can be prevented from being polluted by other users, and the music pushed by the first music pushing model is matched with the favorite music of the first user.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure.
Fig. 1 is a flowchart illustrating a music pushing method according to an exemplary embodiment of the present disclosure.
Fig. 2 is a flowchart illustrating a music pushing method according to an exemplary embodiment of the disclosure.
Fig. 3 is a flowchart illustrating a music pushing method according to an exemplary embodiment of the disclosure.
Fig. 4 is a flowchart illustrating a music pushing method according to an exemplary embodiment of the disclosure.
Fig. 5 is a block diagram of a music pushing apparatus 500 according to an exemplary embodiment of the disclosure.
Fig. 6 is a block diagram of an apparatus 600 for music push according to an exemplary embodiment of the present disclosure.
Fig. 7 is a functional block diagram schematic of a vehicle 700 shown in an exemplary embodiment of the present disclosure.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.
Before introducing the music push method, the music push device, the storage medium and the vehicle of the present disclosure, an application scenario of the present disclosure is first introduced. Embodiments provided by the present disclosure may be used in various music push scenarios, such as a sound box, a vehicle cabin, and so on.
Taking the vehicle cabin as an example, when a user wants to listen to a song, music can be acquired through the music push function of the music system. Here, the music push function may be realized based on, for example, music push models that can be established based on the user's song listening history data.
It should be noted that the music pushing model is also at risk of being contaminated, and after the music pushing model is contaminated, the matching degree between the music style pushed by the music pushing model and the music style preferred by the user may be low, thereby affecting the experience of the user. For example, when a user takes a child with him, the user may play children's music, which may cause the music push model to be contaminated. Therefore, in the subsequent scene that the user listens to the songs alone, the music pushing model can still push children music to the user, and the matching degree of the music style pushed by the music pushing model and the music style favored by the user is reduced.
To this end, the present disclosure provides a music push method. Fig. 1 is a flowchart of a music push method illustrated in the present disclosure, and referring to fig. 1, the method includes:
in step S11, user information in the vehicle is acquired.
Here, the user information may include, for example, image information, biometric information, and the like of the user. The biometric information may include face image information, fingerprint information, iris information, etc., or a combination thereof.
As an example, the user information in the vehicle may be acquired through an OMS (Occupant Monitoring System) or a DMS (Driver Monitoring System) of the vehicle. And the number and the identity of the users in the vehicle are determined by processing the user information.
It should be noted that the user information or data obtaining actions involved in the embodiments of the present disclosure are all performed under the premise of complying with the data protection regulation policy corresponding to the country of the location and obtaining the authorization given by the owner of the corresponding device.
In step S12, in a case where it is determined that a second user other than the first user is included in the vehicle based on the user information, a target music push model is determined, the target music push model being set independently of the first music push model of the first user.
For example, in one possible implementation, in a case where it is determined that a second user other than the first user is included in the vehicle according to the user information, determining a target music push model (step S12) includes:
and taking a child music pushing model as the target music pushing model under the condition that the child user is determined to be included in the vehicle according to the user information.
Illustratively, the first user may be a child father. In this way, when the first user carries a child to use the vehicle, the OMS system and the DMS system of the vehicle may acquire the user information, and determine that the child user is included in the vehicle based on the user information. In this case, a child music push model may be used as the target music push model.
For example, in some possible implementation scenarios, where it is determined that a child user is included in the vehicle, it may be looked up whether a history-saved child music push model exists. In the case that there is no music push model for children stored in history, an initial music push model may be initialized. In this way, the initial music push model may be obtained by learning the music preference types of the child user. In addition, in some implementation scenarios, the learned music push model for the child can be stored locally or in the cloud, so as to facilitate subsequent use.
It should be noted that the initial music push model may be, for example, a model based on a collaborative filtering recommendation algorithm, or may be a model based on DNN (Deep Neural Network). In addition, the initial music push model may be a music push model without music push preference or a music push model with music push preference of children, and the type of the initial music push model is not limited by the present disclosure.
In addition, in the case that there is a child music push model stored in history, the child music push model stored in history may be acquired, and the acquired child music push model may be used as the target music push model. Therefore, the music preference of the child user can be continuously learned through the child music push model, and the saved child music push model is updated.
By the method, the music style pushed by the music pushing model of the children can be matched with the music style favored by the children users.
In step S13, music is pushed for the user in the vehicle through the target music push model.
Following the above example, in the case that a child user is included in the vehicle, the child music can be pushed for the user in the vehicle through the child music pushing model, so as to meet the music requirement of the child user. Moreover, since the child music push model and the first music push model of the first user are set independently, the first music push model can be prevented from adding the music type of child music to the music preference type of the first user. By adopting the mode, the first music pushing model of the first user can be prevented from being polluted by other users, and the music pushed by the first music pushing model is matched with the favorite music of the first user.
Further, in a possible implementation, the pushing music for the user in the vehicle through the target music pushing model (step S13) includes:
acquiring destination information of the vehicle;
determining a target music type matching the destination information;
determining target music to be pushed according to the destination information and the target music type;
pushing the target music for a user in the vehicle.
Here, the matching of the music type may be performed according to the destination information of the vehicle. For example, in the case where it is determined that the destination of the vehicle is a company through the navigation information of the vehicle, a more exciting music type may be matched; in the case where it is determined that the destination of the vehicle is home, then a more soothing type of music may be matched. In addition, the music type related to the destination can be matched according to the destination type (for example, the cantonese music type is matched when the destination is a cantonese region). Therefore, the target music meeting the target music type can be determined according to the target music type obtained through matching and the target music pushing model, and the target music is pushed for the user in the vehicle. Through the mode, music pushing can be carried out according to the driving destination of the user, and therefore the driving experience of the user is enriched.
Of course, in some implementation scenarios, in the case that it is determined from the user information that a second user is not included in the vehicle, music may also be pushed for the first user according to the first music pushing model. Through the mode, the music matched with the music preference of the first user can be pushed, so that the music listening experience of the first user is improved.
Fig. 2 is a flowchart of a music pushing method shown in the present disclosure, and referring to fig. 2, the method includes:
in step S21, user information in the vehicle is acquired.
In step S22, in a case where it is determined that a second user other than the first user is included in the vehicle based on the user information, the target type of the user in the vehicle is determined based on the user information.
Here, the type of the user may be set based on the application requirement. As one example, the type of user may include a visitor type, a vehicle borrowing type, and so on. For example, the vehicle may determine that there is a visitor in the vehicle when the users in the vehicle include the first user and a second user other than the first user by acquiring the user information in the vehicle and determining whether the users in the vehicle include the first user, that is, the type of the users in the vehicle is the visitor type. In some implementation scenarios, the vehicle may determine that the current vehicle may be borrowed by acquiring the user information in the vehicle and determining whether the user in the current vehicle includes a first user, and when the user in the vehicle does not include the first user but includes a second user other than the first user, that is, the type of the user in the vehicle is a vehicle borrowing type. In addition, the type of the user may also be set based on the identity information of the user, for example, in some implementation scenarios, the identity information of each second user may be used as a user type.
In step S23, a target music push model is determined according to the target type, and the target music push model is set independently from the first music push model of the first user.
Here, referring to a flowchart of a music push method illustrated in fig. 3, step S23 may include:
step S231, obtains the association relationship between the type of the user in the same account and the music push model.
For example, the music push model may be set for each user type under the same account (e.g., a music streaming account). Following the above example, the music push model may be set for the visitor type and the vehicle borrowing type, respectively. And establishing and maintaining an association relation between the type of the user and the music push model.
Step S232, the incidence relation is inquired according to the target type, and a target music pushing model is obtained.
That is, in a case where there is a saved music push model in the current user type, the saved music push model may be acquired, and the acquired music push model may be used as the target music push model. In this way, the music preference of the user type can be continuously learned through the music push model, and the saved music push model of the user type can be updated. By the method, the music pushing accuracy of the music pushing model corresponding to each user type can be improved.
Referring to fig. 2, in the case that the target music push model is obtained, in step S24, music is pushed for the user in the vehicle through the target music push model.
According to the technical scheme, the music pushing models are respectively set for different user types. Therefore, the target type of the user in the vehicle can be determined according to the user information in the vehicle, and the music pushing model corresponding to the target type is determined to be used as the target music pushing model, so that music pushing is carried out. By adopting the mode, under the condition of meeting the music pushing requirement of the user in the vehicle, the first music pushing model of the first user can be prevented from being polluted by other users, and the music pushed by the first music pushing model is matched with the favorite music of the first user.
Fig. 4 is a flowchart of a music push method shown in the present disclosure, and with reference to fig. 4, the method includes:
in step S41, user information in the vehicle is acquired.
In step S42, in a case where it is determined that a second user other than the first user is included in the vehicle based on the user information, the target type of the user in the vehicle is determined based on the user information.
In step S43, the association relationship between the type of the user under the same account and the music push model is acquired.
In step S44, in a case where the music push model of the target genre is not included in the association relationship, a music push model of the target genre is newly added.
For example, the identity information of each second user may be taken as a user type. In this way, when the user a borrows the vehicle of the first user for the first time, the vehicle may acquire the identity information (e.g., biometric information) of the user a, and query the association relationship between the type of the user and the music push model in the same account (e.g., the account of the first user) according to the identity information. In the case that the music push model of the user a is not included in the association relationship, the music push model of the user a may be added.
Here, the music push model of the newly added user a may be, for example, an initial music push model, and the initial music push model may be, for example, a model based on a collaborative filtering recommendation algorithm, or may be a model based on DNN.
In step S45, the target type and the music push model of the target type are maintained in the association relationship.
Following the above example, the identity information of the user a and the music push model of the newly added user a may be maintained in the association relationship.
In step S46, the newly added target type music push model is used as the target music push model, and the target music push model is set independently from the first music push model of the first user.
That is, the music push model of the newly added user a may be taken as the target music push model. In this way, the newly added music push model of the user a can provide the music push service for the user a by learning the music favorite type of the user a.
It should be noted that the initial music pushing model may be a music pushing model without music pushing preference or a music pushing model with music pushing preference, and the disclosure is not limited thereto.
In step S47, music is pushed for the user in the vehicle through the target music push model.
According to the technical scheme, the music push models are respectively set for different user types. Therefore, the target type of the user in the vehicle can be determined according to the user information in the vehicle, and the music pushing model corresponding to the target type is determined to be used as the target music pushing model, so that music pushing is carried out. By adopting the mode, under the condition that the music pushing requirements of the users in the vehicle are met, the first music pushing model of the first user can be prevented from being polluted by other users, and therefore the music pushed by the first music pushing model is matched with the favorite music of the first user.
Based on the same inventive concept, the present disclosure also provides a music push device. Fig. 5 is a block diagram of a music pushing apparatus 500 shown in the present disclosure, and referring to fig. 5, the music pushing apparatus 500 includes:
a first acquisition module 501 configured to acquire user information in a vehicle;
a first determining module 502 configured to determine a target music push model, which is set independently from a first music push model of a first user, in a case where it is determined that a second user other than the first user is included in the vehicle according to the user information;
a first music pushing module 503 configured to push music for the user in the vehicle through the target music pushing model.
According to the technical scheme, the user information in the vehicle can be acquired, and whether a second user except the first user is included in the vehicle or not is determined according to the user information. When a second user other than the first user is included in the vehicle, a target music push model that is set independently of the first music push model of the first user may be determined. In this way, music may be pushed for a user in a vehicle according to a targeted music push model. By adopting the mode, the first music pushing model of the first user can be prevented from being polluted by other users, and the music pushed by the first music pushing model is matched with the favorite music of the first user.
Optionally, the first determining module 502 includes:
a first determination sub-module configured to determine a target type of a user in the vehicle from the user information;
a second determining sub-module configured to determine the target music push model according to the target type.
Optionally, the second determining sub-module includes:
the first acquisition subunit is configured to acquire an association relation between the type of the user under the same account and the music push model;
the first query subunit is configured to query the association relationship according to the target type to obtain the target music push model.
Optionally, the method further comprises:
a first executing module configured to add a new music push model of the target type if the association relationship does not include the music push model of the target type;
the second execution module is configured to maintain the target type and the music push model of the target type in the association relation;
the first determining module 502 includes:
a first execution sub-module configured to use the newly added music push model of the target type as the target music push model.
Optionally, the first determining module 502 includes:
a second execution sub-module configured to take a child music push model as the target music push model in a case where it is determined that a child user is included in the vehicle according to the user information.
Optionally, comprising:
a second music push module configured to push music for the first user according to the first music push model if it is determined that a second user is not included in the vehicle according to the user information.
Optionally, the first music pushing module 503 includes:
a first acquisition sub-module configured to acquire destination information of the vehicle;
a third determination sub-module configured to determine a target music type matching the destination information;
a fourth determining submodule configured to determine target music to be pushed according to the destination information and the target music type;
a push sub-module configured to push the target music by a user in the vehicle.
With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.
The present disclosure also provides a music push device, including:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to perform the steps of the music push method provided by the present disclosure.
The present disclosure also provides a vehicle including the music pushing device provided by the present disclosure.
The present disclosure also provides a computer readable storage medium having stored thereon computer program instructions, which when executed by a processor, implement the steps of the music push method provided by the present disclosure.
Fig. 6 is a block diagram illustrating an apparatus 600 for music push according to an example embodiment. For example, the apparatus 600 may be a variety of computing devices, such as a mobile phone, a computer, a tablet device, and so forth.
Referring to fig. 6, apparatus 600 may include one or more of the following components: a processing component 602, a first memory 604, a power component 606, a multimedia component 608, an audio component 610, an input/output interface 612, a sensor component 614, and a communication component 616.
The processing component 602 generally controls overall operation of the device 600, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing component 602 may include one or more first processors 620 to execute instructions to perform all or part of the steps of the music push method described above. Further, the processing component 602 can include one or more modules that facilitate interaction between the processing component 602 and other components. For example, the processing component 602 can include a multimedia module to facilitate interaction between the multimedia component 608 and the processing component 602.
The first memory 604 is configured to store various types of data to support operations at the apparatus 600. Examples of such data include instructions for any application or method operating on device 600, music, messages, pictures, videos, and so forth. The first memory 604 may be implemented by any type or combination of volatile or non-volatile memory devices, such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.
Power supply component 606 provides power to the various components of device 600. The power components 606 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for the apparatus 600.
The multimedia component 608 includes a screen that provides an output interface between the device 600 and a user. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 608 includes a front facing camera and/or a rear facing camera. The front camera and/or the rear camera may receive external multimedia data when the device 600 is in an operating mode, such as a shooting mode or a video mode. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.
The audio component 610 is configured to output and/or input audio signals. For example, audio component 610 includes a Microphone (MIC) configured to receive external audio signals when apparatus 600 is in an operational mode, such as a recording mode and a speech recognition mode. The received audio signal may further be stored in the first memory 604 or transmitted via the communication component 616. In some embodiments, audio component 610 further includes a speaker for outputting audio signals.
The input/output interface 612 provides an interface between the processing component 602 and peripheral interface modules, which may be keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to: a home button, a volume button, a start button, and a lock button.
The sensor component 614 includes one or more sensors for providing status assessment of various aspects of the apparatus 600. For example, the sensor component 614 may detect an open/closed state of the device 600, the relative positioning of components, such as a display and keypad of the device 600, the sensor component 614 may also detect a change in position of the device 600 or a component of the device 600, the presence or absence of user contact with the device 600, orientation or acceleration/deceleration of the device 600, and a change in temperature of the device 600. The sensor assembly 614 may include a proximity sensor configured to detect the presence of a nearby object without any physical contact. The sensor assembly 614 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 614 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.
The communication component 616 is configured to facilitate communications between the apparatus 600 and other devices in a wired or wireless manner. The apparatus 600 may access a wireless network based on a communication standard, such as WiFi, 4G or 5G, or a combination thereof. In an exemplary embodiment, the communication component 616 receives broadcast signals or broadcast related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 616 further includes a Near Field Communication (NFC) module to facilitate short-range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, Ultra Wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.
In an exemplary embodiment, the apparatus 600 may be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, micro-controllers, microprocessors or other electronic components for performing the music push method described above.
In an exemplary embodiment, a non-transitory computer readable storage medium comprising instructions, such as the first memory 604 comprising instructions, executable by the first processor 620 of the apparatus 600 to perform the music push method described above is also provided. For example, the non-transitory computer readable storage medium may be a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.
Referring to fig. 7, fig. 7 is a functional block diagram of a vehicle 700 according to an exemplary embodiment. The vehicle 700 may be configured in a fully or partially autonomous driving mode. For example, the vehicle 700 may acquire environmental information of its surroundings through the sensing system 720 and derive an automatic driving strategy based on an analysis of the surrounding environmental information to implement full automatic driving, or present the analysis result to the user to implement partial automatic driving.
Vehicle 700 may include various subsystems such as infotainment system 710, perception system 720, decision control system 730, drive system 740, and computing platform 750. Alternatively, vehicle 700 may include more or fewer subsystems, and each subsystem may include multiple components. In addition, each of the sub-systems and components of the vehicle 700 may be interconnected by wire or wirelessly.
In some embodiments, infotainment system 710 may include a communication system 711, an entertainment system 712, and a navigation system 713.
The communication system 711 may include a wireless communication system that may wirelessly communicate with one or more devices, either directly or via a communication network. For example, the wireless communication system may use 3G cellular communication, such as CDMA, EVD0, GSM/GPRS, or 4G cellular communication, such as LTE. Or 5G cellular communication. The wireless communication system may communicate with a Wireless Local Area Network (WLAN) using WiFi. In some embodiments, the wireless communication system may utilize an infrared link, bluetooth, or ZigBee to communicate directly with the device. Other wireless protocols, such as various vehicular communication systems, for example, a wireless communication system may include one or more Dedicated Short Range Communications (DSRC) devices that may include public and/or private data communications between vehicles and/or roadside stations.
The entertainment system 712 may include a display device, a microphone, and a sound box, and a user may listen to a radio in the car based on the entertainment system, playing music; or the mobile phone is communicated with the vehicle, screen projection of the mobile phone is realized on the display equipment, the display equipment can be in a touch control type, and a user can operate the display equipment by touching the screen.
In some cases, the user's voice signal may be captured by a microphone and certain controls of the vehicle 700 may be implemented by the user, such as adjusting the temperature in the vehicle, etc., depending on the analysis of the user's voice signal. In other cases, music may be played to the user through a sound.
The navigation system 713 may include a map service provided by a map provider to provide navigation of the route traveled by the vehicle 700, and the navigation system 713 may be used in conjunction with the global positioning system 721, the inertial measurement unit 722 of the vehicle. The map service provided by the map provider can be a two-dimensional map or a high-precision map.
The perception system 720 may include several types of sensors that sense information about the environment surrounding the vehicle 700. For example, the sensing system 720 may include a global positioning system 721 (the global positioning system may be a GPS system, a beidou system, or other positioning system), an Inertial Measurement Unit (IMU) 722, a laser radar 723, a millimeter wave radar 724, an ultrasonic radar 725, and a camera 726. The sensing system 720 may also include sensors of internal systems of the monitored vehicle 700 (e.g., an in-vehicle air quality monitor, a fuel gauge, an oil temperature gauge, etc.). Sensor data from one or more of these sensors may be used to detect the object and its corresponding characteristics (position, shape, orientation, velocity, etc.). Such detection and identification is a critical function of the safe operation of the vehicle 700.
The global positioning system 721 is used to estimate the geographic location of the vehicle 700.
The inertial measurement unit 722 is used to sense a pose change of the vehicle 700 based on the inertial acceleration. In some embodiments, the inertial measurement unit 722 may be a combination of accelerometers and gyroscopes.
Lidar 723 utilizes a laser to sense objects in the environment in which vehicle 700 is located. In some embodiments, lidar 723 may include one or more laser sources, laser scanners, and one or more detectors, among other system components.
The millimeter-wave radar 724 utilizes radio signals to sense objects within the surrounding environment of the vehicle 700. In some embodiments, in addition to sensing objects, the millimeter-wave radar 724 may also be used to sense the speed and/or heading of objects.
The ultrasonic radar 725 may sense objects around the vehicle 700 using ultrasonic signals.
The camera 726 is used to capture image information of the surrounding environment of the vehicle 700. The camera 726 may include a monocular camera, a binocular camera, a structured light camera, a panoramic camera, and the like, and the image information acquired by the camera 726 may include a still image or video stream information.
The decision control system 730 includes a computing system 731 that makes analytical decisions based on information obtained by the sensing system 720, the decision control system 730 further includes a vehicle control unit 732 that controls the powertrain of the vehicle 700, and a steering system 733, throttle 734, and brake system 735 for controlling the vehicle 700.
The computing system 731 is operable to process and analyze various information acquired by the perception system 720 in order to identify objects, and/or features in the environment surrounding the vehicle 700. The targets may include pedestrians or animals, and the objects and/or features may include traffic signals, road boundaries, and obstacles. The computing system 731 may use object recognition algorithms, Motion from Motion (SFM) algorithms, video tracking, and the like. In some embodiments, the computing system 731 may be used to map an environment, track objects, estimate the speed of objects, and so forth. The computing system 731 may analyze the various information obtained and derive a control strategy for the vehicle.
The vehicle control unit 732 may be used to perform coordinated control of the vehicle's power battery and engine 741 to improve the power performance of the vehicle 700.
The steering system 733 is operable to adjust a heading of the vehicle 700. For example, in one embodiment, a steering wheel system.
The throttle 734 is used to control the operating speed of the engine 741 and thus the speed of the vehicle 700.
The brake system 735 is used to control the deceleration of the vehicle 700. The braking system 735 may use friction to slow the wheels 744. In some embodiments, the braking system 735 may convert kinetic energy of the wheels 744 into electrical current. The braking system 735 may also take other forms to slow the rotational speed of the wheels 744 to control the speed of the vehicle 700.
Drive system 740 may include components that provide powered motion to vehicle 700. In one embodiment, drive system 740 may include an engine 741, an energy source 742, a transmission 743, and wheels 744. The engine 741 may be an internal combustion engine, an electric motor, an air compression engine, or other types of engine combinations, such as a hybrid engine of a gasoline engine and an electric motor, a hybrid engine of an internal combustion engine and an air compression engine. The engine 741 converts the energy source 742 into mechanical energy.
Examples of energy source 742 include gasoline, diesel, other petroleum-based fuels, propane, other compressed gas-based fuels, ethanol, solar panels, batteries, and other sources of electrical power. The energy source 742 may also provide energy to other systems of the vehicle 700.
The driveline 743 may transmit mechanical power from the engine 741 to the wheels 744. The driveline 743 may include a gearbox, a differential, and a driveshaft. In one embodiment, the driveline 743 may also include other devices, such as a clutch. Wherein the drive shaft may include one or more axles that may be coupled to one or more wheels 744.
Some or all of the functions of the vehicle 700 are controlled by the computing platform 750. The computing platform 750 can include at least one second processor 751, the second processor 751 can execute instructions 753 stored in a non-transitory computer-readable medium, such as a second memory 752. In some embodiments, the computing platform 750 may also be a plurality of computing devices that control individual components or subsystems of the vehicle 700 in a distributed manner.
The second processor 751 can be any conventional processor, such as a commercially available CPU. Alternatively, the second processor 751 may also include a processor such as a Graphics Processor Unit (GPU), a Field Programmable Gate Array (FPGA), a System On Chip (SOC), an Application Specific Integrated Circuit (ASIC), or a combination thereof. Although fig. 7 functionally illustrates a processor, memory, and other elements of a computer in the same block, those skilled in the art will appreciate that the processor, computer, or memory may actually comprise multiple processors, computers, or memories that may or may not be stored within the same physical housing. For example, the memory may be a hard drive or other storage medium located in a different enclosure than the computer. Thus, references to a processor or computer are to be understood as including references to a collection of processors or computers or memories which may or may not operate in parallel. Rather than using a single processor to perform the steps described herein, some components, such as the steering component and the retarding component, may each have their own processor that performs only computations related to the component-specific functions.
In the disclosed embodiment, the second processor 751 may perform the music push method described above.
In various aspects described herein, the second processor 751 may be remotely located from and in wireless communication with the vehicle. In other aspects, some of the processes described herein are executed on a processor disposed within the vehicle and others are executed by a remote processor, including taking the steps necessary to perform a single maneuver.
In some embodiments, the second memory 752 can contain instructions 753 (e.g., program logic), which can be executed by the second processor 751 to perform various functions of the vehicle 700. The second memory 752 may also contain additional instructions, including instructions to send data to, receive data from, interact with, and/or control one or more of the infotainment system 710, the perception system 720, the decision control system 730, the drive system 740.
In addition to the instructions 753, the second memory 752 may also store data such as road maps, route information, location, direction, speed of the vehicle, and other such vehicle data, as well as other information. Such information may be used by the vehicle 700 and the computing platform 750 during operation of the vehicle 700 in autonomous, semi-autonomous, and/or manual modes.
Computing platform 750 may control functions of vehicle 700 based on inputs received from various subsystems, such as drive system 740, perception system 720, and decision control system 730. For example, the computing platform 750 may utilize input from the decision control system 730 in order to control the steering system 733 to avoid obstacles detected by the perception system 720. In some embodiments, the computing platform 750 is operable to provide control over many aspects of the vehicle 700 and its subsystems.
Alternatively, one or more of these components described above may be mounted or associated separately from the vehicle 700. For example, the second memory 752 may be partially or completely separate from the vehicle 700. The above components may be communicatively coupled together in a wired and/or wireless manner.
Optionally, the above components are only an example, in an actual application, components in the above modules may be added or deleted according to an actual need, and fig. 7 should not be construed as limiting the embodiment of the present disclosure.
An autonomous automobile traveling on a roadway, such as vehicle 700 above, may identify objects within its surrounding environment to determine an adjustment to the current speed. The object may be another vehicle, a traffic control device, or another type of object. In some examples, each identified object may be considered independently, and based on the respective characteristics of the object, such as its current speed, acceleration, separation from the vehicle, etc., may be used to determine the speed at which the autonomous vehicle is to be adjusted.
Optionally, the vehicle 700 or a sensing and computing device associated with the vehicle 700 (e.g., computing system 731, computing platform 750) may predict behavior of the identified object based on characteristics of the identified object and the state of the surrounding environment (e.g., traffic, rain, ice on the road, etc.). Optionally, each identified object depends on the behavior of each other, so it is also possible to predict the behavior of a single identified object taking all identified objects together into account. The vehicle 700 is able to adjust its speed based on the predicted behavior of the identified object. In other words, the autonomous vehicle is able to determine what steady state the vehicle will need to adjust to (e.g., accelerate, decelerate, or stop) based on the predicted behavior of the object. In this process, other factors may also be considered to determine the speed of the vehicle 700, such as the lateral position of the vehicle 700 in the road being traveled, the curvature of the road, the proximity of static and dynamic objects, and so forth.
In addition to providing instructions to adjust the speed of the autonomous vehicle, the computing device may also provide instructions to modify the steering angle of the vehicle 700 to cause the autonomous vehicle to follow a given trajectory and/or to maintain a safe lateral and longitudinal distance from objects in the vicinity of the autonomous vehicle (e.g., vehicles in adjacent lanes on the road).
The vehicle 700 may be any type of vehicle, such as a car, a truck, a motorcycle, a bus, etc., and the embodiment of the present disclosure is not particularly limited.
In another exemplary embodiment, a computer program product is also provided, which comprises a computer program executable by a programmable apparatus, the computer program having code portions for performing the above-mentioned music push method when executed by the programmable apparatus.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims (11)

1. A music pushing method, comprising:
acquiring user information in a vehicle;
determining a target music pushing model under the condition that the vehicle is determined to include a second user except the first user according to the user information, wherein the target music pushing model and the first music pushing model of the first user are arranged independently;
and pushing music for the user in the vehicle through the target music pushing model.
2. The method of claim 1, wherein the determining the target music push model comprises:
determining a target type of a user in the vehicle according to the user information;
and determining the target music pushing model according to the target type.
3. The method of claim 2, wherein the determining the target music push model according to the target type comprises:
acquiring the association relation between the type of the user and the music pushing model under the same account;
and inquiring the association relation according to the target type to obtain the target music pushing model.
4. The method of claim 3, further comprising:
under the condition that the association relation does not comprise the music pushing model of the target type, newly adding the music pushing model of the target type;
maintaining the target type and the music push model of the target type in the association relation;
the target music pushing model comprises the following steps:
and taking the newly added music push model of the target type as the target music push model.
5. The method of claim 1, wherein determining a target music push model if it is determined from the user information that a second user other than the first user is included in the vehicle comprises:
and taking a child music push model as the target music push model under the condition that the child user is determined to be included in the vehicle according to the user information.
6. The method according to any one of claims 1 to 5, comprising:
and under the condition that the vehicle does not comprise a second user according to the user information, pushing music for the first user according to the first music pushing model.
7. The method according to any one of claims 1 to 5, wherein said pushing music for a user in said vehicle by said target music push model comprises:
acquiring destination information of the vehicle;
determining a target music type matching the destination information;
determining target music to be pushed according to the destination information and the target music type;
pushing the target music for a user in the vehicle.
8. A music push device, comprising:
a first acquisition module configured to acquire user information in a vehicle;
a first determination module configured to determine a target music push model, which is set independently of a first music push model of a first user, in a case where it is determined from the user information that a second user other than the first user is included in the vehicle;
a first music push module configured to push music for a user in the vehicle through the target music push model.
9. A music push apparatus, comprising:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to perform the steps of the method of any one of claims 1 to 7.
10. A vehicle characterized by comprising the music push apparatus of claim 9.
11. A computer-readable storage medium, on which computer program instructions are stored, which program instructions, when executed by a processor, carry out the steps of the method according to any one of claims 1 to 7.
CN202210963907.2A 2022-08-11 2022-08-11 Music pushing method and device, storage medium and vehicle Pending CN115080788A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202210963907.2A CN115080788A (en) 2022-08-11 2022-08-11 Music pushing method and device, storage medium and vehicle

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202210963907.2A CN115080788A (en) 2022-08-11 2022-08-11 Music pushing method and device, storage medium and vehicle

Publications (1)

Publication Number Publication Date
CN115080788A true CN115080788A (en) 2022-09-20

Family

ID=83245006

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202210963907.2A Pending CN115080788A (en) 2022-08-11 2022-08-11 Music pushing method and device, storage medium and vehicle

Country Status (1)

Country Link
CN (1) CN115080788A (en)

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106339492A (en) * 2016-08-31 2017-01-18 电子科技大学 Music recommendation method based on geographical location information
CN106878364A (en) * 2015-12-11 2017-06-20 比亚迪股份有限公司 Information-pushing method, system, Cloud Server and vehicle for vehicle
CN109302486A (en) * 2018-10-26 2019-02-01 广州小鹏汽车科技有限公司 A kind of method and system pushing music according to environment inside car
CN109726332A (en) * 2019-01-11 2019-05-07 何梓菁 A kind of individualized music method for pushing and system based on self study
CN111741364A (en) * 2020-06-21 2020-10-02 深圳天海宸光科技有限公司 Content accurate pushing method and system based on face recognition
CN113459943A (en) * 2021-06-29 2021-10-01 华人运通(江苏)技术有限公司 Vehicle control method, device, equipment and storage medium
CN114866816A (en) * 2022-04-24 2022-08-05 芜湖雄狮汽车科技有限公司 Method and device for pushing entertainment streaming media in Internet of vehicles

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106878364A (en) * 2015-12-11 2017-06-20 比亚迪股份有限公司 Information-pushing method, system, Cloud Server and vehicle for vehicle
CN106339492A (en) * 2016-08-31 2017-01-18 电子科技大学 Music recommendation method based on geographical location information
CN109302486A (en) * 2018-10-26 2019-02-01 广州小鹏汽车科技有限公司 A kind of method and system pushing music according to environment inside car
CN109726332A (en) * 2019-01-11 2019-05-07 何梓菁 A kind of individualized music method for pushing and system based on self study
CN111741364A (en) * 2020-06-21 2020-10-02 深圳天海宸光科技有限公司 Content accurate pushing method and system based on face recognition
CN113459943A (en) * 2021-06-29 2021-10-01 华人运通(江苏)技术有限公司 Vehicle control method, device, equipment and storage medium
CN114866816A (en) * 2022-04-24 2022-08-05 芜湖雄狮汽车科技有限公司 Method and device for pushing entertainment streaming media in Internet of vehicles

Similar Documents

Publication Publication Date Title
CN114882464B (en) Multi-task model training method, multi-task processing method, device and vehicle
CN115170630B (en) Map generation method, map generation device, electronic equipment, vehicle and storage medium
CN115164910B (en) Travel route generation method, travel route generation device, vehicle, storage medium, and chip
CN114863717A (en) Parking space recommendation method and device, storage medium and vehicle
CN114880408A (en) Scene construction method, device, medium and chip
CN114537450A (en) Vehicle control method, device, medium, chip, electronic device and vehicle
CN115649190A (en) Control method, device, medium, vehicle and chip for vehicle auxiliary braking
CN114973178A (en) Model training method, object recognition method, device, vehicle and storage medium
CN115080788A (en) Music pushing method and device, storage medium and vehicle
CN115535004B (en) Distance generation method, device, storage medium and vehicle
CN114789723B (en) Vehicle running control method and device, vehicle, storage medium and chip
CN114802217B (en) Method and device for determining parking mode, storage medium and vehicle
CN114572219B (en) Automatic overtaking method and device, vehicle, storage medium and chip
CN114771514B (en) Vehicle running control method, device, equipment, medium, chip and vehicle
CN114780226B (en) Resource scheduling method and device, computer readable storage medium and vehicle
CN114801832B (en) Charging device, method, apparatus, vehicle, electronic device, and storage medium
CN115297434B (en) Service calling method and device, vehicle, readable storage medium and chip
CN114842454B (en) Obstacle detection method, device, equipment, storage medium, chip and vehicle
CN114911630B (en) Data processing method and device, vehicle, storage medium and chip
CN114802435B (en) Vehicle control method, device, vehicle, storage medium and chip
CN115221260B (en) Data processing method, device, vehicle and storage medium
CN114987549A (en) Vehicle control method, device, storage medium and vehicle
CN115620258A (en) Lane line detection method, device, storage medium and vehicle
CN115221261A (en) Map data fusion method and device, vehicle and storage medium
CN115205804A (en) Image processing method, image processing apparatus, vehicle, medium, and chip

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination