Control method, device, system, computer-readable storage medium, and vehicle

Abstract

This application provides a control method, apparatus, system, computer-readable storage medium, and vehicle, including: obtaining characteristic parameters of a person based on collected information about a person outside the vehicle; determining whether the characteristic parameters belong to preset characteristic parameters; wherein the preset characteristic parameters indicate that the person has a communication request; if so, controlling the media volume inside the vehicle to decrease in response to an opening operation of a door or window of the vehicle. The technical solution of this application improves the communication effect between users inside the vehicle and people outside the vehicle.

Description

Technical Field

[0001] This application relates to the field of new energy vehicle technology, and in particular to a control method, device, system, computer-readable storage medium, and vehicle. Background Technology

[0002] With the development of technology, users will engage in various entertainment activities such as listening to music and watching videos while inside the vehicle. People outside the vehicle may have a need to communicate with users inside, and in this case, loud media volume inside the vehicle will affect the effectiveness of communication. Summary of the Invention

[0003] This application provides a control method, apparatus, system, computer-readable storage medium, and vehicle to improve communication between users inside the vehicle and people outside the vehicle.

[0004] Firstly, this application provides a control method, including:

[0005] Based on the information of people outside the vehicle collected, the characteristic parameters of the people are obtained;

[0006] Determine whether the feature parameter belongs to the preset feature parameter;

[0007] If so, in response to the opening of a door or window of the vehicle, the media volume inside the vehicle is controlled to decrease.

[0008] Secondly, this application provides a control device, including:

[0009] The acquisition module is used to obtain the characteristic parameters of the people based on the information of the people outside the vehicle that has been collected;

[0010] The judgment module is used to determine whether the feature parameter belongs to the preset feature parameter;

[0011] If the determination module result is yes, the control module is used to control the media volume inside the vehicle to decrease in response to the opening operation of the vehicle door or window.

[0012] Thirdly, this application provides a control system, including a storage component and a processing component;

[0013] The storage component is used to store one or more computer instructions, which are then invoked and executed by the processing component.

[0014] The processing component invokes one or more computer instructions to execute the control method described in the first aspect.

[0015] Fourthly, this application provides a computer-readable storage medium that, when the instructions in the computer-readable storage medium are executed by a processor of an electronic device, enables the electronic device to perform the control method described in the first aspect.

[0016] Fifthly, this application provides a vehicle that includes the control system described in the third aspect.

[0017] In this embodiment, information about people outside the vehicle can be collected, and based on the collected information, characteristic parameters corresponding to the person can be obtained. It can then be determined whether the person's characteristic parameters belong to preset characteristic parameters. These preset characteristic parameters can indicate that the person has a communication request, meaning the person outside the vehicle has a request to communicate with the user inside the vehicle. In this case, if an opening operation is performed on a vehicle door or window, it indicates that the user inside the vehicle is communicating with the person outside, and the media volume inside the vehicle can be reduced. By identifying people outside the vehicle and automatically reducing the media volume when the user inside the vehicle is communicating with the identified person outside with a communication request, manual operation by the user is unnecessary, preventing situations where the user forgets to lower the volume and thus affecting communication, thereby improving the communication effect between the user inside the vehicle and the person outside.

[0018] These or other aspects of this application will become more apparent in the following description of the embodiments. Attached Figure Description

[0019] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0020] Figure 1 A flowchart illustrating an embodiment of the control method provided in this application is shown.

[0021] Figure 2 A flowchart of another embodiment of a control method provided in this application is shown;

[0022] Figure 3 A schematic diagram of one embodiment of the control device provided in this application is shown;

[0023] Figure 4 A schematic diagram of one embodiment of a control system provided in this application is shown. Detailed Implementation

[0024] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings.

[0025] In some of the processes described in the specification, claims, and accompanying drawings of this application, multiple operations appearing in a specific order are included. However, it should be clearly understood that these operations may not be executed in the order they appear herein, or may be executed in parallel. The operation numbers, such as 101, 102, etc., are merely used to distinguish different operations and do not themselves represent any execution order. Furthermore, these processes may include more or fewer operations, and these operations may be executed sequentially or in parallel. It should be noted that the descriptions such as "first," "second," etc., in this document are used to distinguish different messages, devices, modules, etc., and do not represent a chronological order, nor do they limit "first" and "second" to different types.

[0026] This application pertains to the field of vehicle control, and particularly relates to the control of media volume within a vehicle. With technological advancements, users engage in various entertainment activities while seated in a vehicle, such as listening to music and watching videos. When the vehicle is not in motion, people outside the vehicle may need to communicate with the users inside; in such cases, a high volume of media inside the vehicle can hinder effective communication.

[0027] In traditional solutions, users usually need to manually lower the media volume inside the vehicle. If users forget to do so, it will affect the effectiveness of communication.

[0028] To address the aforementioned technical problems, the inventors considered that individuals outside the vehicle who need to communicate with users inside the vehicle are typically people with specific professional identities, such as police officers, road management personnel, parking management personnel, highway toll collectors, etc., or they may be performing actions such as waving at the vehicle or knocking on the vehicle window. Could the inventors identify these individuals outside the vehicle to determine who has a communication request, thereby automatically controlling the media volume when the user inside the vehicle communicates with them? After a series of considerations and experiments, the inventors proposed the technical solution of this application, providing a control method applicable to vehicles, including: obtaining characteristic parameters of the individuals based on collected information about them outside the vehicle; determining whether the characteristic parameters belong to preset characteristic parameters; wherein, the preset characteristic parameters indicate that the individuals have a communication request; and if so, controlling the media volume inside the vehicle to decrease in response to opening a door or window of the vehicle.

[0029] By identifying people outside the vehicle, and automatically lowering the media volume inside the vehicle when a user inside the vehicle communicates with an identified person outside the vehicle who has a communication request, the system eliminates the need for manual operation by the user, preventing situations where the user forgets to lower the volume and thus affecting communication, thereby improving the communication effectiveness between users inside the vehicle and people outside the vehicle.

[0030] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0031] like Figure 1 The diagram shown is a flowchart of an embodiment of a control method provided in this application. The method may include the following steps:

[0032] In step S11, based on the information of the person outside the vehicle that has been collected, the characteristic parameters of the person are obtained.

[0033] In this embodiment, the control method can be applied to vehicles. Specifically, it can be applied to the Electronic Control Unit (ECU) in a vehicle, also known as the "vehicle computer" or "on-board computer," which consists of a microcontroller (MCU), memory (ROM, RAM), input / output interfaces (I / O), analog-to-digital converters (A / D), and large-scale integrated circuits for shaping and driving.

[0034] When the vehicle is not in a driving state, passengers inside can play media files, such as listening to music or watching videos. At this time, information about people outside the vehicle can be collected. This collected information may include, for example, facial features, clothing, and movement information. Facial features may include the faces of family members, colleagues, friends, and neighbors; clothing may include police badges, police uniforms, road work uniforms, parking lot uniforms, etc.; and movement information may include body language and facial expressions, with no specific limitations on body language, including hand and leg movements.

[0035] Optionally, the above information can be collected by an environmental data acquisition device on the vehicle. This device may include, for example, surround-view cameras, video cameras, video recorders, or other equipment with shooting capabilities, or millimeter-wave radar, lidar, or other equipment with target recognition capabilities. In practical applications, vehicles can be equipped with such devices, such as cameras, to collect and record information about the surrounding environment and road conditions.

[0036] Based on the information of people outside the vehicle collected, a preset algorithm can be used to process the information and obtain the characteristic parameters of the person. The characteristic parameters may include identity features, action behavior features, such as walking movements, dancing movements, etc., which will be described in subsequent embodiments and will not be elaborated here. The preset algorithm may include, for example, an algorithm for converting personnel action information into action behavior features, etc., which can be set according to the actual application scenario and is not specifically limited.

[0037] In step S12, it is determined whether the feature parameter belongs to the preset feature parameter. If the determination result is yes, the operation of step S13 is executed; if the determination result is no, the operation of step S14 is executed.

[0038] The preset feature parameter can indicate that the person has a communication request.

[0039] After obtaining the characteristic parameters of a person outside the vehicle, it can be determined whether these characteristic parameters belong to preset characteristic parameters. These preset characteristic parameters can indicate that the person outside the vehicle has a request to communicate with the user inside the vehicle. For example, these preset characteristic parameters may include the action of knocking on the vehicle window or door, and it can be determined whether the person's behavioral characteristics are those of knocking on the window or door.

[0040] If the person's behavioral characteristics are knocking on the car window or door, then the characteristic parameter can be determined to belong to the preset characteristic parameters, and step S13 is executed. If the person's behavioral characteristics are walking or dancing, then the characteristic parameter can be determined not to belong to the preset characteristic parameters, and step S14 is executed.

[0041] There are multiple ways to determine whether a feature parameter belongs to a preset feature parameter, which will be described in subsequent embodiments and will not be repeated here.

[0042] In step S13, in response to the opening operation of a vehicle door or window, the media volume inside the vehicle is controlled to decrease.

[0043] When it is determined that the characteristic parameters of a person outside the vehicle match preset characteristic parameters, meaning that the person has a request to communicate with the user inside the vehicle, it is possible to detect whether there is any opening operation on the vehicle's doors or windows, such as opening a door or lowering a window. Specifically, sensors connected to the ECU are installed at the door or window locations inside the vehicle, and these sensors can detect whether there is any opening operation on the corresponding door or window.

[0044] If the aforementioned activation operation is detected, it indicates that the user inside the vehicle intends to communicate with people outside the vehicle. In response to this activation operation, the media volume inside the vehicle can be reduced to facilitate communication. The degree of volume reduction can be set according to the actual application scenario; for example, the volume can be reduced to 30% of the initial volume, or even reduced to 0, without specific limitations.

[0045] Optionally, if the above-mentioned activation operation is not detected, it indicates that the user inside the vehicle does not intend to communicate with people outside the vehicle. In this case, there is no need to adjust the media volume inside the vehicle; the volume can be maintained unchanged.

[0046] In step S14, the media volume inside the vehicle is kept constant.

[0047] When it is determined that the characteristic parameters of a person outside the vehicle do not belong to the preset characteristic parameters, that is, when it is determined that the person does not have a request to communicate with the user inside the vehicle, it is not necessary to adjust the media volume inside the vehicle, and the volume can be kept unchanged.

[0048] If an opening operation of a vehicle door or window is detected at this time, it indicates that the user inside the vehicle has other needs such as getting out of the vehicle or opening the window for ventilation, rather than communicating with people outside the vehicle. Therefore, there is no need to adjust the media volume inside the vehicle, and the volume can be kept unchanged.

[0049] In this embodiment, information about people outside the vehicle can be collected, and based on the collected information, characteristic parameters corresponding to the person can be obtained. It can then be determined whether the person's characteristic parameters belong to preset characteristic parameters. These preset characteristic parameters can indicate that the person has a communication request, meaning that the person outside the vehicle has a request to communicate with the user inside the vehicle. In this case, if an operation to open a vehicle door or window is performed, it indicates that the user inside the vehicle is communicating with the person outside the vehicle, and the media volume inside the vehicle can be controlled to decrease. By identifying people outside the vehicle and automatically controlling the decrease in media volume when the user inside the vehicle is communicating with the identified person outside the vehicle who has a communication request, manual operation by the user is unnecessary, preventing situations where the user forgets to lower the volume and thus affecting communication, thereby improving the communication effect between the user inside the vehicle and the person outside the vehicle.

[0050] The above solution involves collecting and processing information on all personnel outside the vehicle, resulting in a significant data processing workload. To reduce this workload and improve data processing efficiency, in some embodiments, information on personnel within a preset range outside the vehicle can be collected, and characteristic parameters of each person can be obtained based on the collected information. This preset range can be set according to the actual application scenario; for example, it can be set as a circle with a radius of 3 meters centered on the vehicle, and this circular range can be used as the preset range, without specific limitations.

[0051] In practical applications, the aforementioned method of obtaining the characteristic parameters of a person based on the information collected from outside the vehicle can be implemented using a neural network.

[0052] Specifically, personnel information collected using environmental data acquisition devices can be sent to the input layer of a neural network. After processing by the neural network, the characteristic parameters of the personnel can be output. This neural network can be trained based on pre-collected training samples including personnel information and corresponding characteristic parameters, or it can be obtained from other open-source programs; there are no specific limitations.

[0053] To facilitate data processing, the information of people collected by the environmental acquisition device can be transmitted to the neural network in the form of a video stream.

[0054] Optionally, the aforementioned neural network can be encapsulated and used as a plugin in the vehicle ECU. This allows the encapsulated neural network plugin to process the acquired personnel information and obtain the personnel's characteristic parameters while simultaneously collecting personnel information using an environmental acquisition device.

[0055] The following explains how to determine whether a person's characteristic parameters belong to the preset characteristic parameters.

[0056] In practical applications, feature parameters can include at least one of identity information and action content. Action content can include body movements, such as hand movements and leg movements. Identity information can include occupational information and social relationship information, such as social relationships with users inside the vehicle. Specifically, occupational information for different professions, such as uniform information, can be pre-set. The feature parameters of a person can then be obtained based on the collected information. For example, based on the collected clothing information, if it matches the pre-set uniform information, the feature parameter indicating that the person is a professional corresponding to that uniform can be obtained; if it does not match the pre-set uniform information, the feature parameter indicating that the person has no clearly defined occupation can be obtained. This can be set according to the actual application scenario without specific limitations.

[0057] Alternatively, the identity information of the users inside the vehicle, as well as the identity information of other people with social relationships with the users inside the vehicle, such as the appearance information of the users' family members, can be preset. Then, based on the collected information, the characteristic parameters of each person can be obtained. For example, if the appearance information of the person matches the preset appearance information, the characteristic parameter that the person is a family member of the users inside the vehicle can be obtained; if the appearance information does not match the preset appearance information, the characteristic parameter that the person has no clear social relationship with the users inside the vehicle can be obtained. This can be set according to the actual application scenario without specific restrictions.

[0058] Correspondingly, preset feature parameters can include preset identity and preset actions. Preset identity can include preset occupations, such as medical personnel, police officers, road management personnel, parking management personnel, etc., and preset social relationships with the users inside the vehicle, such as family members or friends. Preset actions can include knocking on the car window or door, walking towards the vehicle's location, waving in the direction of the vehicle, etc., and can be set according to the actual application scenario without specific restrictions.

[0059] Therefore, the above methods for determining whether a feature parameter belongs to a preset feature parameter may include:

[0060] Determine whether the identity information belongs to a preset identity; or,

[0061] Determine whether the action content is consistent with the preset action.

[0062] For example, if the collected characteristic parameters of a person outside the vehicle indicate that the person is a family member of a user inside the vehicle and belongs to a preset identity, this suggests that the person has a request to communicate with the user inside the vehicle. In this case, the vehicle's internal media volume can be lowered in response to the opening of a door or window. Similarly, if the collected characteristic parameters of a person outside the vehicle indicate that the person is walking towards the vehicle's location and this is a preset action, this also suggests that the person has a request to communicate with the user inside the vehicle. In this case, the vehicle's internal media volume can be lowered in response to the opening of a door or window. However, if the collected characteristic parameters of a person outside the vehicle indicate that they are not a preset professional, have no preset social relationship with the user inside the vehicle, and have not performed a preset action, this suggests that the person may simply be passing by outside the vehicle and does not have a request to communicate with the user inside the vehicle. In this case, there is no need to adjust the vehicle's internal media volume; the volume remains unchanged.

[0063] In practical applications, after a user inside the vehicle finishes communicating with someone outside the vehicle, the media volume inside the vehicle can be restored. In some embodiments, the above method may further include:

[0064] In response to closing a vehicle door or window, control the increase of media volume inside the vehicle.

[0065] Specifically, after the media volume inside the vehicle is reduced within a preset time, in response to the closing of the vehicle's doors or windows, indicating that communication between the user inside the vehicle and the person outside the vehicle has ended, the media volume inside the vehicle is increased after the vehicle's doors or windows are closed.

[0066] The level of increase in media volume can be set according to the actual application scenario, such as increasing it to a certain preset value, or restoring it to the previous volume, without specific restrictions.

[0067] Optionally, sensors located at the doors or windows of the vehicle can be used to detect closing operations for the corresponding doors or windows, which will not be elaborated further.

[0068] In practical applications, when users inside the vehicle communicate with people outside the vehicle, there may be situations where adjusting the media volume inside the vehicle is unnecessary. For example, if people outside the vehicle want to access the media information being played inside, or if the communication between the users inside and outside the vehicle is related to the media information being played inside, then there is no need to lower the media volume inside the vehicle. Therefore, in some embodiments, the method may further include:

[0069] In response to an operation that increases the media volume inside the vehicle, control the increase of the media volume inside the vehicle.

[0070] Among them, the operation of increasing the media volume inside the vehicle can be triggered by the user inside the vehicle. For example, the user can manually adjust the media volume increase button inside the vehicle to increase the media volume, or the user can increase the media volume inside the vehicle through a mobile device related to media playback inside the vehicle. The settings can be configured according to the actual application scenario.

[0071] At this point, the media volume inside the vehicle can be increased to make it easier for users to access relevant information.

[0072] like Figure 2 The diagram shown is a flowchart of another embodiment of a control method provided in this application, which may include the following steps.

[0073] In step S21, the environmental data acquisition device in the vehicle is used to collect information about people outside the vehicle within a preset range.

[0074] In step S22, the collected information of the person is transmitted to a preset neural network, and the feature parameters of the person are obtained by using the neural network.

[0075] In step S23, it is determined whether the feature parameter belongs to the preset feature parameter. If the determination result is yes, the operation of step S24 is executed; if the determination result is no, the operation of step S26 is executed.

[0076] The preset feature parameter can indicate that the person has a communication request.

[0077] In step S24, in response to the opening operation of a vehicle door or window, the media volume inside the vehicle is controlled to decrease.

[0078] In step S25, in response to a closing operation of a vehicle door or window, the media volume inside the vehicle is controlled to increase.

[0079] In step S26, the media volume inside the vehicle is kept constant.

[0080] In this embodiment, the implementation process of steps S21 to S26 can refer to the specific implementation process in the previous embodiment, and will not be repeated here.

[0081] like Figure 3 The diagram shown is a structural schematic of one embodiment of a control device provided in this application. The device may include the following modules.

[0082] The acquisition module 301 is used to obtain the characteristic parameters of the person based on the information of the person outside the vehicle that has been collected;

[0083] The judgment module 302 is used to determine whether the feature parameter belongs to the preset feature parameter;

[0084] If the result of the judgment module 302 is yes, the control module 303 is used to control the media volume inside the vehicle to decrease in response to the opening operation of the vehicle door or window.

[0085] In this embodiment, the control device is used to implement Figure 1 The control method described herein can collect information about people outside the vehicle and, based on this information, obtain characteristic parameters corresponding to those people. It then determines whether these characteristic parameters belong to preset characteristic parameters, which indicate that the person has a communication request—that is, a person outside the vehicle requests to communicate with the user inside the vehicle. In this case, if a door or window of the vehicle is opened, it indicates that the user inside the vehicle is communicating with the person outside, and the media volume inside the vehicle can be lowered. By identifying people outside the vehicle and automatically lowering the media volume when a user inside the vehicle is communicating with an identified person outside the vehicle who has a communication request, manual operation by the user is unnecessary. This avoids situations where the user forgets to lower the volume, thus improving the communication effectiveness between the user inside and outside the vehicle.

[0086] In some embodiments, if the result of the determination module 302 is negative, the control module 303 can also be used to maintain the media volume inside the vehicle unchanged.

[0087] In some embodiments, the feature parameters may include at least one of identity information and action content;

[0088] The judgment module 302 can be used to determine whether the identity information belongs to a preset identity; or,

[0089] Determine whether the action content is consistent with the preset action.

[0090] In some embodiments, the acquisition module 301 can be used to obtain the characteristic parameters of a person based on the information of a person within a preset range outside the vehicle that has been collected.

[0091] In some embodiments, the acquisition module 301 can be specifically used to transmit the collected information of the person to a neural network, and use the neural network to obtain the characteristic parameters of the person. The neural network can be pre-trained.

[0092] In some embodiments, the control module 303 may also be used to control the increase of media volume inside the vehicle in response to a closing operation of a door or window of the vehicle.

[0093] In some embodiments, the control module 303 may also be used to control the increase of the media volume inside the vehicle in response to an operation that increases the media volume inside the vehicle.

[0094] like Figure 4 The diagram shown is a structural schematic of an embodiment of a control system provided in this application, which may include a storage component 401 and a processing component 402.

[0095] The storage component 401 can be used to store one or more computer instructions, which are called and executed by the processing component 402.

[0096] Processing component 402 can invoke one or more computer instructions to execute Figure 1 or Figure 2 The aforementioned control method.

[0097] The processing component 402 may include one or more processors to execute computer instructions to complete all or part of the steps in the above-described method. Alternatively, the processing component may be implemented as 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, microcontrollers, microprocessors, or other electronic components to perform the above-described method.

[0098] Storage component 401 is configured to store various types of data to support operations at the terminal. The storage component can be implemented by any type of volatile or non-volatile storage device or a combination thereof, 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 storage, flash memory, magnetic disk, or optical disk.

[0099] Of course, the aforementioned control system may also include other components, such as input / output interfaces, communication components, etc.

[0100] Input / output interfaces provide interfaces between processing components and peripheral interface modules, which can be output devices, input devices, etc.

[0101] The communication components are configured to facilitate wired or wireless communication between the control system and other devices.

[0102] In this application embodiment, a computer-readable storage medium including instructions is also provided, such as a memory including instructions, which can be executed by a processor of an electronic device to perform the above method. Optionally, the computer-readable storage medium may be a ROM, random access memory (RAM), CD-ROM, magnetic tape, floppy disk, and optical data storage device, etc.

[0103] This application embodiment also provides a vehicle, which may include... Figure 4 The control system shown.

[0104] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0105] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0106] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the parts that contribute to the prior art, can be embodied in the form of software products. These computer software products can be stored in computer-readable storage media, such as ROM / RAM, magnetic disks, optical disks, etc., and include several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or certain parts of the embodiments.

[0107] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application.

Claims

1. A control method characterized by, The method comprises: obtaining a feature parameter of the person outside the vehicle based on the information of the person outside the vehicle collected; determining whether the feature parameter belongs to a preset feature parameter; wherein the preset feature parameter represents that the person has a communication request; if yes, controlling the media volume inside the vehicle to be reduced in response to an opening operation of a door or a window of the vehicle; the opening operation represents that the user inside the vehicle has the intention to communicate with the person outside the vehicle.

2. The method of claim 1, wherein, The method further comprises: if it is determined that the feature parameter does not belong to the preset feature parameter, maintaining the media volume inside the vehicle unchanged.

3. The method of claim 1, wherein, The feature parameter comprises at least one of identity information and action content; The determination of whether the feature parameter belongs to the preset feature parameter comprises: determining whether the identity information belongs to a preset identity; or determining whether the action content is consistent with a preset action. The obtaining of the feature parameter of the person outside the vehicle based on the information of the person outside the vehicle collected comprises:

4. The method of claim 1, wherein, obtaining the feature parameter of the person within a preset range outside the vehicle based on the information of the person within the preset range outside the vehicle collected. The information of the person is collected by an environmental collection device in the vehicle.

5. The method of claim 1, wherein, The obtaining of the feature parameter of the person outside the vehicle based on the information of the person outside the vehicle collected comprises:

6. The method of claim 1, wherein, collecting action data of the person; transmitting the action data to a neural network, and obtaining the feature parameter of the person by using the neural network, wherein the neural network is obtained by pre-training. The method further comprises:

7. The method of claim 1, wherein, controlling the media volume inside the vehicle to be increased in response to a closing operation of a door or a window of the vehicle. The method comprises:

8. A control device characterized by comprising: an acquisition module configured to obtain a feature parameter of a person outside a vehicle based on information of the person outside the vehicle collected; a determination module configured to determine whether the feature parameter belongs to a preset feature parameter; a control module configured to control a media volume inside the vehicle to be reduced in response to an opening operation of a door or a window of the vehicle if the determination module determines that the feature parameter belongs to the preset feature parameter; the opening operation represents that a user inside the vehicle has the intention to communicate with the person outside the vehicle. The control system comprises a storage component and a processing component; 9. A control system characterized by, the storage component is configured to store one or more computer instructions, wherein the one or more computer instructions are configured to be invoked and executed by the processing component; the processing component invokes and executes the one or more computer instructions to perform the control method according to any one of claims 1 to 7. When the instructions in the computer readable storage medium are executed by the processor of the electronic device, the electronic device is enabled to perform the control method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The control system comprises the control system according to claim 9.

11. A vehicle characterized by comprising: ​

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