Active noise reduction method, device and equipment for vehicle and computer readable storage medium

Abstract

The invention discloses an active noise reduction method, device and equipment for a vehicle and a computer readable storage medium, and belongs to the technical field of automobiles. The active noise reduction method of the vehicle comprises the steps that when the decibel value of noise in the vehicle is larger than a preset decibel threshold value, whether a driver exists in a main driving position or not is judged; when the driver is in the main driving position, determining the driver emotion; judging whether the driver emotion belongs to one of preset emotions or not, wherein the preset emotions are a plurality of predetermined emotions influencing driving behaviors; and if the driver emotion belongs to one of the preset emotions, starting the noise reduction function of the target part arranged at the main driving position, so that whether the internal noise of the vehicle interferes with the driver or not is comprehensively identified from multiple dimensions, the false triggering probability can be effectively reduced, and when it is confirmed that the internal noise of the vehicle interferes with the driver, the noise reduction function of the target part arranged at the main driving position is started. And the noise reduction function of the target part is automatically started, so that interference of noise in the vehicle to a driver is reduced, and the automation degree of the vehicle is improved.

Description

Technical Field

[0001] The present application relates to the field of automobile technology, and in particular to a method, device, equipment and computer-readable storage medium for active noise reduction of a vehicle. Background Art

[0002] With the rapid development of automobile technology, people have higher and higher requirements for the intelligence of vehicles. When passengers in the car talk loudly, play audio and video, it will distract the driver and affect driving safety. How to reduce the interference of noise in the car to the driver has become an urgent problem to be solved. In related technologies, a headrest with noise reduction function will be equipped in the main driver's seat. When the driver feels that the noise in the car disturbs him, he manually turns on the noise reduction function of the headrest. However, this method of manually turning on the noise reduction function of the headrest has a low degree of automation and cannot meet people's demand for vehicle intelligence. Summary of the invention

[0003] The present application provides a method, device, equipment and computer-readable storage medium for active noise reduction of a vehicle, which can solve the technical problems existing in the prior art of manually turning on the noise reduction function of the headrest, having a low degree of automation and being unable to meet people's demand for intelligent vehicles.

[0004] In a first aspect, an embodiment of the present application provides an active noise reduction method for a vehicle, the active noise reduction method for the vehicle comprising:

[0005] When the decibel value of the noise inside the vehicle is greater than the preset decibel threshold, it is determined whether there is a driver in the main driving seat;

[0006] When there is a driver in the main driving seat, determine the driver's mood;

[0007] Determining whether the driver's emotion belongs to one of the preset emotions, wherein the preset emotions are several predetermined emotions that have an impact on driving behavior;

[0008] If the driver's emotion belongs to one of the preset emotions, the noise reduction function of the target component arranged at the main driving seat is turned on.

[0009] In combination with the first aspect, in one implementation, determining whether there is a driver in the main driving seat includes:

[0010] Acquire gravity data from a gravity sensor arranged at the main driving seat;

[0011] When the gravity data is greater than a preset gravity threshold, it is determined that there is a driver in the main driving seat, otherwise it is determined that there is no driver in the main driving seat.

[0012] In combination with the first aspect, in one implementation, determining the driver's emotion includes:

[0013] Acquire a facial image of the driver;

[0014] The facial image is input into an emotion recognition model to output the driver's emotion, and the emotion recognition model is obtained by training a deep learning model.

[0015] In combination with the first aspect, in one implementation, the target component includes a headrest and a seat.

[0016] In combination with the first aspect, in one implementation, after the step of turning on the noise reduction function of the target component arranged at the main driving position, the method further includes:

[0017] Collect the external environmental noise of the vehicle;

[0018] Determining whether the frequency of the vehicle's external environmental noise is within a preset frequency range;

[0019] When the frequency of the vehicle external environmental noise is within a preset frequency range, determining a target direction of the vehicle external environmental noise;

[0020] Control the player corresponding to the target position in the target component to play the external environmental noise of the vehicle.

[0021] In a second aspect, an embodiment of the present application provides an active noise reduction device for a vehicle, the active noise reduction device for the vehicle comprising:

[0022] The first judgment module is used to judge whether there is a driver in the main driving seat when the decibel value of the noise inside the vehicle is greater than a preset decibel threshold;

[0023] A determination module, used to determine the driver's emotion when there is a driver in the main driving seat;

[0024] A second judgment module is used to judge whether the driver's emotion belongs to one of the preset emotions, wherein the preset emotions are several predetermined emotions that have an impact on driving behavior;

[0025] The activation module is used to activate the noise reduction function of the target component arranged at the main driving seat if the driver's emotion belongs to one of the preset emotions.

[0026] In conjunction with the second aspect, in one implementation, the first determination module is specifically configured to:

[0027] Acquire gravity data from a gravity sensor arranged at the main driving seat;

[0028] When the gravity data is greater than a preset gravity threshold, it is determined that there is a driver in the main driving seat, otherwise it is determined that there is no driver in the main driving seat.

[0029] In conjunction with the second aspect, in one implementation, the determining module is specifically configured to:

[0030] Acquire a facial image of the driver;

[0031] The facial image is input into an emotion recognition model to output the driver's emotion, and the emotion recognition model is obtained by training a deep learning model.

[0032] In combination with the second aspect, in one implementation, the target component includes a headrest and a seat.

[0033] In combination with the second aspect, in one implementation, the active noise reduction device for the vehicle further includes a playback module, and the playback module is specifically used to:

[0034] After the step of starting the noise reduction function of the target component arranged at the main driving position, collecting the external environmental noise of the vehicle;

[0035] Determining whether the frequency of the vehicle's external environmental noise is within a preset frequency range;

[0036] When the frequency of the vehicle external environmental noise is within a preset frequency range, determining a target direction of the vehicle external environmental noise;

[0037] Control the player corresponding to the target position in the target component to play the external environmental noise of the vehicle.

[0038] In a third aspect, an embodiment of the present application provides an active noise reduction device for a vehicle, the active noise reduction device for the vehicle comprising a processor, a memory, and an active noise reduction program for the vehicle stored in the memory and executable by the processor, wherein when the active noise reduction program for the vehicle is executed by the processor, the steps of the active noise reduction method for the vehicle as described in any one of the first aspects are implemented.

[0039] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, on which an active noise reduction program for a vehicle is stored. When the active noise reduction program for the vehicle is executed by a processor, the steps of the active noise reduction method for the vehicle as described in any one of the first aspects are implemented.

[0040] The beneficial effects brought by the technical solution provided in the embodiments of the present application include:

[0041] When the decibel value of the vehicle's interior noise is greater than a preset decibel threshold, it is determined whether there is a driver in the main driving seat; when there is a driver in the main driving seat, the driver's emotion is further determined; it is determined whether the driver's emotion is one of the preset emotions, which are several predetermined emotions that affect driving behavior; if the driver's emotion is one of the preset emotions, the noise reduction function of the target component arranged in the main driving seat is directly turned on. The present application comprehensively identifies from multiple dimensions whether the vehicle's interior noise will interfere with the driver, which can effectively reduce the probability of false triggering, and automatically turns on the noise reduction function of the target component when it is confirmed that the vehicle's interior noise will interfere with the driver, so as to reduce the interference of the vehicle's interior noise on the driver, improve the vehicle's automation level, and meet people's needs for vehicle intelligence. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 This is a flow chart of a first embodiment of an active noise reduction method for a vehicle of the present application;

[0043] Figure 2 This is a functional module diagram of an embodiment of an active noise reduction device for a vehicle of the present application;

[0044] Figure 3 This is a schematic diagram of the hardware structure of the active noise reduction device of the vehicle involved in the embodiment of the present application. DETAILED DESCRIPTION

[0045] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0046] In order to make the objectives, technical solutions and advantages of the present application clearer, the implementation methods of the present application will be further described in detail below with reference to the accompanying drawings.

[0047] In a first aspect, an embodiment of the present application provides an active noise reduction method for a vehicle.

[0048] In one embodiment, referring to Figure 1 , Figure 1 FIG. 1 is a flow chart of the first embodiment of the active noise reduction method for a vehicle of the present application. Figure 1 As shown, the vehicle's active noise reduction method includes:

[0049] Step 110: When the decibel value of the noise inside the vehicle is greater than a preset decibel threshold, determine whether there is a driver in the main driving seat;

[0050] In specific implementation, the sound pickup microphone arranged in the interior space of the vehicle is directly used to collect the internal noise of the vehicle. There is no need to add additional hardware to identify the internal noise of the vehicle, and the cost is relatively low.

[0051] The pickup microphones are usually arranged near the main driver's seat, the co-driver's seat, the left side of the rear seat, and the right side of the rear seat. The decibel value of the vehicle interior noise collected by each pickup microphone inside the vehicle can be determined respectively, and then the average value is calculated and the average value is used as the decibel value of the vehicle interior noise. Preferably, the decibel value of the vehicle interior noise can be determined directly through the vehicle interior noise collected by the pickup microphone arranged near the main driver's seat.

[0052] The decibel value of the vehicle interior noise is compared with the preset decibel threshold to determine whether the vehicle interior noise exceeds the standard, that is, to preliminarily determine whether it will cause interference to the driver. Preferably, the decibel value of the vehicle interior noise determined by the vehicle interior noise collected by the pickup microphone near the main driving seat is compared with the preset decibel threshold to better determine whether the noise in the main driving area exceeds the standard. Exemplarily, the preset decibel threshold is 65Db. It should be noted that the specific value of the preset decibel threshold can be flexibly set according to actual needs, and this application does not make specific limitations on this.

[0053] When the decibel value of the vehicle interior noise is greater than the preset decibel threshold, it can be determined that the vehicle interior noise or the driving area noise exceeds the standard. At this time, the gravity sensor arranged at the main driving seat or the vehicle's built-in camera can be used to determine whether there is a driver in the main driving seat.

[0054] Step 120: When there is a driver in the main driving seat, determine the driver's emotion;

[0055] Furthermore, when there is a driver in the main driving seat, the driver's emotion is determined by a driver emotion recognition algorithm.

[0056] Step 130: determining whether the driver's emotion belongs to one of the preset emotions, wherein the preset emotions are several predetermined emotions that have an impact on driving behavior;

[0057] Among them, there are several pre-determined emotions that affect driving behavior, such as depression, anger, etc.

[0058] After determining the driver's emotion, it is determined whether the driver's emotion belongs to one of the preset emotions, and then it can be further determined whether the vehicle interior noise will cause interference to the driver.

[0059] Step 140: If the driver's emotion is one of the preset emotions, the noise reduction function of the target component arranged at the main driving seat is turned on.

[0060] It can be understood that if the driver's emotion does not belong to one of the preset emotions, it means that the vehicle interior noise will not interfere with the driver. For example, if the decibel value of the vehicle interior noise is greater than the preset decibel threshold, but the driver is happy, it can be determined that the vehicle interior noise does not interfere with the driver; if the driver's emotion belongs to one of the preset emotions, it can be determined that the vehicle interior noise interferes with the driver. At this time, the vehicle controller actively turns on the noise reduction function of the target component arranged in the main driving seat. The target components include but are not limited to headrests and seats.

[0061] In this embodiment, when the decibel value of the vehicle's interior noise is greater than a preset decibel threshold, it is determined whether there is a driver in the main driving seat; when there is a driver in the main driving seat, the driver's emotion is further determined; it is determined whether the driver's emotion belongs to one of the preset emotions, and the preset emotions are several predetermined emotions that affect driving behavior; if the driver's emotion belongs to one of the preset emotions, the noise reduction function of the target component arranged in the main driving seat is directly turned on. The present application comprehensively identifies from multiple dimensions whether the vehicle's interior noise will interfere with the driver, which can effectively reduce the probability of false triggering, and when it is confirmed that the vehicle's interior noise will interfere with the driver, the noise reduction function of the target component is automatically turned on to reduce the interference of the vehicle's interior noise on the driver, thereby improving the vehicle's automation level and meeting people's needs for vehicle intelligence.

[0062] Furthermore, in one embodiment, the step of determining whether there is a driver in the main driving seat includes:

[0063] Step 210: Obtaining gravity data from a gravity sensor disposed at the main driving seat;

[0064] Step 220: When the gravity data is greater than a preset gravity threshold, it is determined that there is a driver in the main driving seat; otherwise, it is determined that there is no driver in the main driving seat.

[0065] It is understandable that judging whether there is a driver in the main driving seat by using the vehicle's built-in camera is based on visual judgment. When the light inside the car is very dim, it is impossible to judge, or when the driver lowers his head, it will be mistakenly judged that there is no driver in the main driving seat. Therefore, the present application uses a gravity sensor arranged in the main driving seat to judge whether there is a driver in the main driving seat, thereby improving the accuracy of the judgment.

[0066] In specific implementation, firstly, the gravity data of the gravity sensor arranged in the main driving seat is obtained; then, the gravity data is compared with the preset gravity threshold to determine whether there is a driver in the main driving seat. If the gravity data is less than the preset gravity threshold, it indicates that an object is placed in the main driving seat or a child is sitting in the main driving seat, and it can be determined that there is no driver in the main driving seat; only when the gravity data is greater than the preset gravity threshold, it is determined that there is a driver in the main driving seat.

[0067] In this embodiment, gravity data of a gravity sensor arranged at the main driver's seat is obtained; then when the gravity data is greater than a preset gravity threshold, it is judged that there is a driver in the main driver's seat, otherwise it is judged that there is no driver in the main driver's seat. Compared with other judgment methods, the accuracy is higher.

[0068] Furthermore, in one embodiment, determining the driver's emotion includes:

[0069] Step 310: Acquire the driver's facial image;

[0070] Step 320: input the facial image into an emotion recognition model to output the driver's emotions, wherein the emotion recognition model is obtained by training a deep learning model.

[0071] In a specific implementation, a high-definition camera arranged in front of the driver inside the vehicle is used to obtain the driver's facial image in real time. Preferably, the high-definition camera is an infrared camera.

[0072] The facial image is input into an emotion recognition model, and emotion-related features are first extracted from the facial image by the emotion recognition model; then, classification algorithms such as deep neural networks and convolutional neural networks are used to analyze the extracted emotion-related features to obtain the driver's emotions; finally, the driver's emotions are output.

[0073] In this embodiment, the facial image is input into an emotion recognition model to output the driver's emotions. The emotion recognition model is obtained by training a deep learning model. This embodiment uses a deep learning model to determine the driver's emotions, which can improve the accuracy of identifying the driver's emotions.

[0074] Furthermore, in one embodiment, after the step of activating the noise reduction function of the target component arranged at the main driving position, the method further includes:

[0075] Step 410: Collect the ambient noise outside the vehicle;

[0076] Step 420, determining whether the frequency of the ambient noise outside the vehicle is within a preset frequency range;

[0077] Step 430: When the frequency of the vehicle external environmental noise is within a preset frequency range, determine the target direction of the vehicle external environmental noise;

[0078] Step 440: Control the player corresponding to the target position in the target component to play the external environmental noise of the vehicle.

[0079] The preset frequency range can be flexibly set according to actual needs, and this application does not make specific limitations on this. For example, the preset frequency range is 20Hz-50Hz. The target component is configured with multiple players in different directions.

[0080] In a specific implementation, after the step of turning on the noise reduction function of the target component arranged at the main driver's seat, the external environmental noise of the vehicle is collected through a microphone outside the vehicle, and the frequency of the external environmental noise of the vehicle is determined through a spectrum analyzer; then, it is determined whether the frequency of the external environmental noise of the vehicle is within a preset frequency range. When the frequency of the external environmental noise of the vehicle is within the preset frequency range, the target direction of the external environmental noise of the vehicle is identified through a millimeter-wave radar or a laser radar equipped by the vehicle; then, the vehicle controller controls the player corresponding to the target direction in the target component to play the external environmental noise of the vehicle, so that the driver can identify the type and direction of the sound source outside the vehicle, thereby improving driving safety.

[0081] In this embodiment, after the step of turning on the noise reduction function of the target component arranged at the main driving seat, the external environmental noise of the vehicle is collected; it is determined whether the frequency of the external environmental noise of the vehicle is within a preset frequency range; when the frequency of the external environmental noise of the vehicle is within the preset frequency range, the target direction of the external environmental noise of the vehicle is determined; and the player corresponding to the target direction in the target component is controlled to play the external environmental noise of the vehicle, so as to further identify the external environmental noise of the vehicle while reducing the noise inside the vehicle, which can assist the driver in identifying the external environment of the vehicle and improve driving safety.

[0082] In a second aspect, an embodiment of the present application also provides an active noise reduction device for a vehicle.

[0083] In one embodiment, referring to Figure 2 , Figure 2 This is a functional module diagram of an embodiment of an active noise reduction device for a vehicle of the present application. Figure 2 As shown, the active noise reduction device 200 of the vehicle includes:

[0084] The first judgment module 201 is used to judge whether there is a driver in the main driving seat when the decibel value of the vehicle interior noise is greater than a preset decibel threshold;

[0085] A determination module 202, for determining the driver's emotion when there is a driver in the main driving seat;

[0086] The second judgment module 203 is used to judge whether the driver's emotion belongs to one of the preset emotions, wherein the preset emotions are several predetermined emotions that have an impact on driving behavior;

[0087] The activation module 204 is used to activate the noise reduction function of the target component arranged at the main driving seat if the driver's emotion belongs to one of the preset emotions.

[0088] Furthermore, in one embodiment, the first determination module is specifically configured to:

[0089] Acquire gravity data from a gravity sensor arranged at the main driving seat;

[0090] When the gravity data is greater than a preset gravity threshold, it is determined that there is a driver in the main driving seat, otherwise it is determined that there is no driver in the main driving seat.

[0091] Furthermore, in one embodiment, the determining module is specifically used for:

[0092] Acquire a facial image of the driver;

[0093] The facial image is input into an emotion recognition model to output the driver's emotion, and the emotion recognition model is obtained by training a deep learning model.

[0094] Further, in one embodiment, the target components include a headrest and a seat.

[0095] Furthermore, in one embodiment, the active noise reduction device for the vehicle further includes a playback module, and the playback module is specifically used to:

[0096] After the step of starting the noise reduction function of the target component arranged at the main driving position, collecting the external environmental noise of the vehicle;

[0097] Determining whether the frequency of the vehicle's external environmental noise is within a preset frequency range;

[0098] When the frequency of the vehicle external environmental noise is within a preset frequency range, determining a target direction of the vehicle external environmental noise;

[0099] Control the player corresponding to the target position in the target component to play the external environmental noise of the vehicle.

[0100] Among them, the functional implementation of each module in the above-mentioned active noise reduction device for the vehicle corresponds to the various steps in the above-mentioned active noise reduction method embodiment for the vehicle, and their functions and implementation processes are no longer described one by one here.

[0101] In a third aspect, an embodiment of the present application provides an active noise reduction device for a vehicle. The active noise reduction device for a vehicle may be a device with a data processing function, such as a personal computer (PC), a laptop computer, or a server.

[0102] Reference Figure 3 , Figure 3Schematic diagram of the hardware structure of the active noise reduction device of the vehicle involved in the embodiment of the present application. In the embodiment of the present application, the active noise reduction device of the vehicle may include a processor, a memory, a communication interface and a communication bus.

[0103] The communication bus may be of any type and is used to interconnect the processor, the memory, and the communication interface.

[0104] The communication interface includes input / output (I / O) interfaces, physical interfaces, and logical interfaces for interconnecting components within the vehicle's active noise reduction device, as well as interfaces for interconnecting the vehicle's active noise reduction device with other devices (such as other computing devices or user devices). The physical interface may be an Ethernet interface, a fiber optic interface, an ATM interface, etc.; the user device may be a display, a keyboard, etc.

[0105] The memory can be various types of storage media, such as random access memory (RAM), read-only memory (ROM), non-volatile RAM (NVRAM), flash memory, optical storage, hard disk, programmable ROM (PROM), erasable PROM (EPROM), electrically erasable PROM (EEPROM), etc.

[0106] The processor may be a general-purpose processor, which may call the active noise reduction program of the vehicle stored in the memory and execute the active noise reduction method of the vehicle provided in the embodiment of the present application. The active noise reduction method of the vehicle includes: when the decibel value of the noise inside the vehicle is greater than the preset decibel threshold, judging whether there is a driver in the main driving seat; when there is a driver in the main driving seat, determining the driver's mood; judging whether the driver's mood belongs to one of the preset emotions, and the preset emotions are several predetermined emotions that affect driving behavior; if the driver's mood belongs to one of the preset emotions, turning on the noise reduction function of the target component arranged in the main driving seat. For example, the general-purpose processor may be a central processing unit (CPU). Among them, the method executed when the active noise reduction program of the vehicle is called may refer to the various embodiments of the active noise reduction method of the vehicle of the present application.

[0107] Further, in one embodiment, the determining whether there is a driver in the main driving seat includes:

[0108] Acquire gravity data from a gravity sensor arranged at the main driving seat;

[0109] When the gravity data is greater than a preset gravity threshold, it is determined that there is a driver in the main driving seat, otherwise it is determined that there is no driver in the main driving seat.

[0110] Furthermore, in one embodiment, determining the driver's emotion includes:

[0111] Acquire a facial image of the driver;

[0112] The facial image is input into an emotion recognition model to output the driver's emotion, and the emotion recognition model is obtained by training a deep learning model.

[0113] Further, in one embodiment, the target components include a headrest and a seat.

[0114] Furthermore, in one embodiment, after the step of activating the noise reduction function of the target component arranged at the main driving position, the method further includes:

[0115] Collect the external environmental noise of the vehicle;

[0116] Determining whether the frequency of the vehicle's external environmental noise is within a preset frequency range;

[0117] When the frequency of the vehicle external environmental noise is within a preset frequency range, determining a target direction of the vehicle external environmental noise;

[0118] Control the player corresponding to the target position in the target component to play the external environmental noise of the vehicle.

[0119] Those skilled in the art will understand that Figure 3 The hardware structure shown in the figure does not constitute a limitation on the present application, and may include more or less components than shown in the figure, or combine certain components, or arrange the components differently.

[0120] In a fourth aspect, an embodiment of the present application also provides a computer-readable storage medium.

[0121] The computer-readable storage medium of the present application stores an active noise reduction program for a vehicle, wherein when the active noise reduction program for the vehicle is executed by a processor, the steps of the active noise reduction method for the vehicle as described above are implemented. The active noise reduction method for the vehicle includes: when the decibel value of the noise inside the vehicle is greater than a preset decibel threshold, determining whether there is a driver in the main driving seat; when there is a driver in the main driving seat, determining the driver's emotion; determining whether the driver's emotion belongs to one of the preset emotions, wherein the preset emotions are several pre-determined emotions that affect driving behavior; if the driver's emotion belongs to one of the preset emotions, turning on the noise reduction function of the target component arranged in the main driving seat.

[0122] Among them, the method implemented when the active noise reduction program of the vehicle is executed can refer to the various embodiments of the active noise reduction method of the vehicle of the present application.

[0123] Further, in one embodiment, the determining whether there is a driver in the main driving seat includes:

[0124] Acquire gravity data from a gravity sensor arranged at the main driving seat;

[0125] When the gravity data is greater than a preset gravity threshold, it is determined that there is a driver in the main driving seat, otherwise it is determined that there is no driver in the main driving seat.

[0126] Furthermore, in one embodiment, determining the driver's emotion includes:

[0127] Acquire a facial image of the driver;

[0128] The facial image is input into an emotion recognition model to output the driver's emotion, and the emotion recognition model is obtained by training a deep learning model.

[0129] Further, in one embodiment, the target components include a headrest and a seat.

[0130] Furthermore, in one embodiment, after the step of activating the noise reduction function of the target component arranged at the main driving position, the method further includes:

[0131] Collect the external environmental noise of the vehicle;

[0132] Determining whether the frequency of the vehicle's external environmental noise is within a preset frequency range;

[0133] When the frequency of the vehicle external environmental noise is within a preset frequency range, determining a target direction of the vehicle external environmental noise;

[0134] Control the player corresponding to the target position in the target component to play the external environmental noise of the vehicle.

[0135] It should be noted that the serial numbers of the above-mentioned embodiments of the present application are only for description and do not represent the advantages or disadvantages of the embodiments.

[0136] The terms "including" and "having" and any variations thereof in the specification and claims of this application and the above-mentioned drawings are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally includes steps or units that are not listed, or optionally includes other steps or units inherent to these processes, methods, products or devices. The terms "first", "second" and "third" are used to distinguish different objects, etc., and do not represent a sequence, nor do they limit "first", "second" and "third" to different types.

[0137] In the description of the embodiments of the present application, "exemplary", "for example" or "for example" are used to indicate examples, illustrations or descriptions. Any embodiment or design described as "exemplary", "for example" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary", "for example" or "for example" is intended to present related concepts in a specific way.

[0138] In the description of the embodiments of the present application, unless otherwise specified, “ / ” means or, for example, A / B can mean A or B; the “and / or” in the text is merely a description of the association relationship of associated objects, indicating that three relationships may exist, for example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone. In addition, in the description of the embodiments of the present application, “multiple” refers to two or more than two.

[0139] In some processes described in the embodiments of the present application, multiple operations or steps that appear in a specific order are included, but it should be understood that these operations or steps may not be executed in the order in which they appear in the embodiments of the present application or in parallel, and the sequence number of the operation is only used to distinguish the different operations, and the sequence number itself does not represent any execution order. In addition, these processes may include more or fewer operations, and these operations or steps may be executed in sequence or in parallel, and these operations or steps may be combined.

[0140] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application is essentially or the part that contributes to the prior art can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, disk, CD) as described above, and includes a number of instructions for a terminal device to execute the methods described in each embodiment of the present application.

[0141] The above are only preferred embodiments of the present application, and are not intended to limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the present application specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present application.

Claims

1. A method for active noise reduction of a vehicle, characterized in that: The active noise reduction method of the vehicle comprises: When the decibel value of the noise inside the vehicle is greater than the preset decibel threshold, it is determined whether there is a driver in the main driving seat; When there is a driver in the main driving seat, determine the driver's mood; Determining whether the driver's emotion belongs to one of the preset emotions, wherein the preset emotions are several predetermined emotions that have an impact on driving behavior; If the driver's emotion belongs to one of the preset emotions, the noise reduction function of the target component arranged at the main driving seat is turned on.

2. The active noise reduction method for a vehicle as claimed in claim 1, characterized in that: The determining whether there is a driver in the main driving seat includes: Acquire gravity data from a gravity sensor arranged at the main driving seat; When the gravity data is greater than a preset gravity threshold, it is determined that there is a driver in the main driving seat, otherwise it is determined that there is no driver in the main driving seat.

3. The active noise reduction method for a vehicle as claimed in claim 1, characterized in that: The determining of the driver's emotion comprises: Acquire a facial image of the driver; The facial image is input into an emotion recognition model to output the driver's emotion, and the emotion recognition model is obtained by training a deep learning model.

4. The active noise reduction method for a vehicle as claimed in claim 1, characterized in that: The target components include headrests and seats.

5. The active noise reduction method for a vehicle as claimed in claim 4, characterized in that: After the step of starting the noise reduction function of the target component arranged at the main driving position, the method further includes: Collect the external environmental noise of the vehicle; Determining whether the frequency of the vehicle's external environmental noise is within a preset frequency range; When the frequency of the vehicle external environmental noise is within a preset frequency range, determining a target direction of the vehicle external environmental noise; Control the player corresponding to the target position in the target component to play the external environmental noise of the vehicle.

6. An active noise reduction device for a vehicle, characterized in that: The active noise reduction device of the vehicle comprises: The first judgment module is used to judge whether there is a driver in the main driving seat when the decibel value of the noise inside the vehicle is greater than a preset decibel threshold; A determination module, used to determine the driver's emotion when there is a driver in the main driving seat; A second judgment module is used to judge whether the driver's emotion belongs to one of the preset emotions, wherein the preset emotions are several predetermined emotions that have an impact on driving behavior; The activation module is used to activate the noise reduction function of the target component arranged at the main driving seat if the driver's emotion belongs to one of the preset emotions.

7. The active noise reduction device for a vehicle as claimed in claim 6, characterized in that: The first judgment module is specifically used for: Acquire gravity data from a gravity sensor arranged at the main driving seat; When the gravity data is greater than a preset gravity threshold, it is determined that there is a driver in the main driving seat, otherwise it is determined that there is no driver in the main driving seat.

8. The active noise reduction device for a vehicle as claimed in claim 6, characterized in that: The determination module is specifically used for: Acquire a facial image of the driver; The facial image is input into an emotion recognition model to output the driver's emotion, and the emotion recognition model is obtained by training a deep learning model.

9. An active noise reduction device for a vehicle, characterized in that: The active noise reduction device for a vehicle comprises a processor, a memory, and an active noise reduction program for a vehicle stored in the memory and executable by the processor, wherein when the active noise reduction program for a vehicle is executed by the processor, the steps of the active noise reduction method for a vehicle as described in any one of claims 1 to 5 are implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores an active noise reduction program for a vehicle, wherein when the active noise reduction program for a vehicle is executed by a processor, the steps of the active noise reduction method for a vehicle as claimed in any one of claims 1 to 5 are implemented.

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