CN112331173B - In-vehicle noise reduction method, controller, in-vehicle pillow and computer readable storage medium - Google Patents
In-vehicle noise reduction method, controller, in-vehicle pillow and computer readable storage medium Download PDFInfo
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10K—SOUND-PRODUCING DEVICES; METHODS OR DEVICES FOR PROTECTING AGAINST, OR FOR DAMPING, NOISE OR OTHER ACOUSTIC WAVES IN GENERAL; ACOUSTICS NOT OTHERWISE PROVIDED FOR
- G10K11/00—Methods or devices for transmitting, conducting or directing sound in general; Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
- G10K11/16—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
- G10K11/175—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound
- G10K11/178—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound by electro-acoustically regenerating the original acoustic waves in anti-phase
- G10K11/1785—Methods, e.g. algorithms; Devices
- G10K11/17857—Geometric disposition, e.g. placement of microphones
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60N—SEATS SPECIALLY ADAPTED FOR VEHICLES; VEHICLE PASSENGER ACCOMMODATION NOT OTHERWISE PROVIDED FOR
- B60N2/00—Seats specially adapted for vehicles; Arrangement or mounting of seats in vehicles
- B60N2/80—Head-rests
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R1/00—Optical viewing arrangements; Real-time viewing arrangements for drivers or passengers using optical image capturing systems, e.g. cameras or video systems specially adapted for use in or on vehicles
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- B—PERFORMING OPERATIONS; TRANSPORTING
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- G06V20/59—Context or environment of the image inside of a vehicle, e.g. relating to seat occupancy, driver state or inner lighting conditions
- G06V20/597—Recognising the driver's state or behaviour, e.g. attention or drowsiness
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/174—Facial expression recognition
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- G—PHYSICS
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- G10K—SOUND-PRODUCING DEVICES; METHODS OR DEVICES FOR PROTECTING AGAINST, OR FOR DAMPING, NOISE OR OTHER ACOUSTIC WAVES IN GENERAL; ACOUSTICS NOT OTHERWISE PROVIDED FOR
- G10K11/00—Methods or devices for transmitting, conducting or directing sound in general; Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
- G10K11/16—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
- G10K11/175—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound
- G10K11/178—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound by electro-acoustically regenerating the original acoustic waves in anti-phase
- G10K11/1785—Methods, e.g. algorithms; Devices
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10K—SOUND-PRODUCING DEVICES; METHODS OR DEVICES FOR PROTECTING AGAINST, OR FOR DAMPING, NOISE OR OTHER ACOUSTIC WAVES IN GENERAL; ACOUSTICS NOT OTHERWISE PROVIDED FOR
- G10K2210/00—Details of active noise control [ANC] covered by G10K11/178 but not provided for in any of its subgroups
- G10K2210/10—Applications
- G10K2210/128—Vehicles
- G10K2210/1282—Automobiles
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Abstract
The invention discloses a noise reduction method in a vehicle, which comprises the following steps: acquiring state parameters of the head of a human body in the vehicle; determining noise reduction parameters according to the state parameters; and controlling a noise reduction module in the vehicle to execute active noise reduction operation according to the noise reduction parameters. The invention also discloses a controller, a vehicle-mounted pillow and a computer readable storage medium. The invention aims to ensure that the active noise reduction effect can be adapted to the actual state of personnel in the vehicle for adjustment, thereby realizing the improvement of the noise reduction effect in the vehicle.
Description
Technical Field
The invention relates to the technical field of automobile accessories, in particular to an in-car noise reduction method, a controller, a car pillow and a computer readable storage medium.
Background
With the development of economic technology, the living standard of people is continuously improved, and automobiles become important transportation means for people to travel daily. In the process of using a vehicle, personnel in the vehicle generally encounter various noises, such as noises of mechanical components of an engine, sound transmitted into the vehicle from an external environment scene (such as noise generated by whistling of a large container vehicle), and noise generated by friction of a tire road surface. Therefore, a noise reduction module is generally arranged in the vehicle, and noise is neutralized by releasing opposite-phase sound waves equal to external noise, so that active noise reduction of the noise in the vehicle is realized.
However, in the current process of actively reducing noise in a vehicle, the noise is generally operated according to fixed noise reduction parameters, so that the actual noise reduction effect cannot meet the noise reduction requirement of a user, and the noise reduction effect in the vehicle is affected.
Disclosure of Invention
The invention mainly aims to provide an in-vehicle noise reduction method, which aims to ensure that the active noise reduction effect can be adapted to the adjustment of the actual state of in-vehicle personnel and realize the improvement of the in-vehicle noise reduction effect.
In order to achieve the above object, the present invention provides an in-vehicle noise reduction method, including:
acquiring state parameters of the head of a human body in the vehicle;
determining noise reduction parameters according to the state parameters;
and controlling a noise reduction module in the vehicle to execute active noise reduction operation according to the noise reduction parameters.
In addition, in order to achieve the above object, the present application further proposes a controller including a memory, a processor, and an in-vehicle noise reduction program stored on the memory and executable on the processor, the processor implementing the steps of the in-vehicle noise reduction method according to any one of the above when executing the in-vehicle noise reduction program.
In addition, in order to realize above-mentioned purpose, this application still provides a on-vehicle pillow, and on-vehicle pillow includes information acquisition module, noise reduction module and as above-mentioned controller, and information acquisition module and noise reduction module all are connected with the controller, wherein:
the information acquisition module is used for acquiring state parameters of the head of the human body in the area where the vehicle-mounted pillow is positioned;
and the noise reduction module is used for executing active noise reduction.
In addition, in order to achieve the above object, the present application further proposes a computer-readable storage medium having an in-vehicle noise reduction program stored thereon, the processor implementing the steps of the in-vehicle noise reduction method according to any one of the above when executing the in-vehicle noise reduction program.
According to the method for noise reduction in the vehicle, the state parameters of the head of the human body in the vehicle are acquired, the noise reduction parameters are determined according to the state parameters, the noise reduction module in the vehicle is controlled to execute active noise reduction operation according to the noise reduction parameters, the noise reduction parameters of the active noise reduction in the vehicle are not fixed any more but can be changed along with the change of the state of the head of the human body in the vehicle, the state of the head of the human body in the vehicle can characterize the actual state of the human body in the vehicle, the effect of active noise reduction can be adjusted according to the actual state of the human body in the vehicle, and the improvement of the noise reduction effect in the vehicle is realized.
Drawings
FIG. 1 is a schematic diagram of a hardware architecture involved in the operation of an embodiment of a controller according to the present invention;
FIG. 2 is a flow chart of an embodiment of the method for in-vehicle noise reduction according to the present invention;
FIG. 3 is a flowchart of another embodiment of the in-vehicle noise reduction method according to the present invention;
FIG. 4 is a flowchart of an in-vehicle noise reduction method according to another embodiment of the present invention;
FIG. 5 is a schematic representation of the relative distance between a vehicle pillow and the head according to an embodiment of the in-vehicle noise reduction method of the present invention;
FIG. 6 is a flowchart illustrating an in-vehicle noise reduction method according to another embodiment of the present invention;
fig. 7 is a flowchart of an in-vehicle noise reduction method according to still another embodiment of the invention.
The achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
The main solutions of the embodiments of the present invention are: the method comprises the steps of obtaining state parameters of the head of a human body in a vehicle, determining noise reduction parameters according to the state parameters, and controlling a noise reduction module in the vehicle to execute active noise reduction operation according to the noise reduction parameters.
In the prior art, in the process of realizing active noise reduction in a vehicle, the vehicle is generally operated according to fixed noise reduction parameters, so that the actual noise reduction effect is easy to cause and cannot meet the noise reduction requirement of a user.
The invention provides the solution, and aims to ensure that the active noise reduction effect can be adapted to the actual state of the personnel in the vehicle for adjustment, thereby improving the noise reduction effect in the vehicle.
The embodiment of the invention provides a vehicle-mounted pillow, in particular to a tool which is arranged in a vehicle and used for supporting the head of a person in the vehicle. Specifically, the vehicle-mounted pillow can be specifically arranged on a seat of a driving seat, and the vehicle-mounted pillow can also be arranged on a seat of a passenger seat. In the embodiment, the seats of the driving seat and the passenger seat are respectively provided with a vehicle-mounted pillow.
The vehicle-mounted pillow can specifically comprise an information acquisition module 1, a noise reduction module 2 and a controller. The information acquisition module 1 is specifically configured to acquire a state parameter (such as a position feature parameter, an attitude feature parameter, etc.) of a human head in an area where the vehicle-mounted pillow is located. The noise reduction module 2 is specifically configured to perform active noise reduction, where active noise reduction refers to the release of sound waves inverted relative to external noise to neutralize noise. Specifically, the noise reduction module 2 includes a microphone for collecting ambient noise and a speaker for releasing sound waves to neutralize the ambient noise. The controller is specifically used for controlling the noise reduction module to execute an active noise reduction process in the vehicle.
Specifically, the vehicle-mounted pillow may include a first end portion and a second end portion that are disposed along a transverse direction, and the information acquisition module 1 includes a first ranging module disposed at the first end portion and a second ranging module disposed at the second end portion. The first distance measuring module is used for collecting a first distance between one side of the head, which is close to the first end, and the first end; the second ranging module is used for acquiring a second distance between one side of the head, which is close to the second end, and the second end. The noise reduction module 2 includes a first noise reduction module provided at the first end portion and a second noise reduction module provided at the second end portion.
It should be noted that, the information acquisition module 1, the noise reduction module 2 and the controller in the vehicle-mounted pillow can be separated from the pillow as a carrier and distributed in other vehicles in the vehicle according to actual requirements.
The embodiment of the invention provides a controller which is particularly applied to controlling the noise reduction process in a vehicle. In particular, the controller may be built into the vehicle pillow as mentioned in the above embodiments. In addition, in other embodiments, the controller may be disposed at other positions in the vehicle, such as a seat in the vehicle, according to actual requirements.
In an embodiment of the present invention, referring to fig. 1, a controller includes: a processor 1001 (e.g., CPU), a memory 1002, and the like. The memory 1002 may be a high-speed RAM memory or a stable memory (non-volatile memory), such as a disk memory. The memory 1002 may alternatively be a storage device separate from the processor 1001 described above.
The information acquisition module 1, the noise reduction module 2, and the memory 1002 in the embodiment are all connected to the processor 1001. In addition, still can be provided with camera 3 according to actual demand in the car, camera 3 can be used to gather the image in the car, and processor 1001 still can be connected with camera 3.
It will be appreciated by those skilled in the art that the device structure shown in fig. 1 is not limiting of the device and may include more or fewer components than shown, or may be combined with certain components, or a different arrangement of components.
As shown in fig. 1, an in-vehicle noise reduction program may be included in a memory 1002 as one type of readable storage medium. In the apparatus shown in fig. 1, a processor 1001 may be used to call an in-vehicle noise reduction program stored in a memory 1002 and perform the related operations of the in-vehicle noise reduction method in the following embodiments.
The embodiment of the invention also provides an in-vehicle noise reduction method.
Referring to fig. 2, an embodiment of the in-vehicle noise reduction method is presented. In this embodiment, the in-vehicle noise reduction method includes:
step S10, a controller acquires state parameters of the head of a human body in the vehicle;
the state parameters specifically refer to parameters representing the states of the head of the human body in the vehicle, such as the position, the posture, the expression and the like. In particular, the state parameters may particularly comprise position characteristic parameters of the head and/or pose characteristic parameters of the head.
The human head in the vehicle can be the head of a specific person in the vehicle, or the head of all the persons in the vehicle.
The obtaining manner of the state parameter may specifically include one or more of the following manners: in the first mode, a controller acquires a human body image acquired by a camera in a vehicle, and acquires a state parameter of the head based on analysis of the acquired human body image; in a second mode, the controller acquires data acquired by a ranging module and the like of equipment of which the head is located in the area in the vehicle, and analyzes and obtains state parameters of the head based on the acquired data.
Step S20, the controller determines noise reduction parameters according to the state parameters;
the noise reduction parameters specifically refer to characteristic parameters of active noise reduction operation, and specifically can ensure noise reduction strength, noise reduction duration, noise reduction frequency and/or the like.
Different state parameters correspond to different noise reduction parameters. For example, the noise reduction intensity and/or the noise reduction duration corresponding to different poses of the head are different; as another example, the noise reduction strengths and/or noise reduction durations corresponding to different positions of the head are different, and so on. The correspondence between the state parameters and the noise reduction parameters may be established in advance. The correspondence may be specifically a calculation relationship, a mapping relationship, or the like. And by acquiring the corresponding relation, the noise reduction parameter corresponding to the current state parameter can be determined.
In step S30, the controller controls the noise reduction module in the vehicle to perform active noise reduction operation according to the noise reduction parameters.
The noise reduction module neutralizes noise by releasing sound waves with opposite phases relative to external noise according to noise reduction intensity, noise reduction duration and the like in noise reduction parameters. Specifically, the controller may control the microphone in the noise reduction module to collect noise in the environment, analyze the sound characteristic parameters of the noise, determine the characteristic parameters of the sound waves required to be released by the speaker in the noise reduction module according to the sound characteristic parameters of the environmental noise and the determined noise reduction parameters, and control the speaker to release the sound waves and neutralize the environmental noise according to the determined characteristic parameters of the sound waves.
According to the in-vehicle noise reduction method provided by the embodiment of the invention, the state parameters of the head of the in-vehicle human body are acquired through the controller, the noise reduction parameters are determined according to the state parameters, the in-vehicle noise reduction module is controlled to execute active noise reduction operation according to the noise reduction parameters, the noise reduction parameters of the in-vehicle active noise reduction are not fixed any more, but can be changed along with the change of the state of the head of the in-vehicle human body, the state of the head of the in-vehicle human body can characterize the actual state of the in-vehicle human body, the effect of active noise reduction can be adjusted to be suitable for the actual state of the in-vehicle human body, and the improvement of the in-vehicle noise reduction effect is realized.
Further, based on the above embodiment, another embodiment of the in-vehicle noise reduction method of the present application is provided. In the present embodiment, referring to fig. 3, step S10 includes:
step S11, the controller acquires position characteristic parameters and/or posture characteristic parameters of the head of the human body in the vehicle, wherein the position characteristic parameters and/or posture characteristic parameters are state parameters.
The position characteristic parameters specifically represent parameters of the position state characteristics of the human head in the vehicle. The gesture characteristic parameters specifically represent parameters of the head gesture (such as torsion, swing and the like) characteristics of the human body in the vehicle.
The position characteristic parameters can be obtained through image recognition and also can be detected by one or more ranging modules in the area where the head of the human body is located in the vehicle. The gesture characteristic parameters can be obtained through image recognition, can be obtained through detection by a plurality of ranging modules in the area where the head is located, and can be obtained through detection by a gesture sensor (such as an acceleration sensor, an angular velocity sensor and the like) in head-mounted equipment (such as headphones and the like).
Specifically, in this embodiment, the position feature parameter is obtained by analyzing the data collected by the vehicle-mounted pillow obtaining ranging module, and the gesture feature parameter is obtained by analyzing the image data collected by the camera. Specifically, different position feature parameters and/or attitude feature parameters correspond to different noise reduction parameters.
In this embodiment, the controller uses the position feature parameter and/or the posture feature parameter of the head of the human body in the vehicle as the state parameter, especially uses the position feature parameter and the posture feature parameter as the state parameter, and because the positions and the postures of the head of the human body in the vehicle are different, the positions of the ears on the head are different, and based on the position feature parameter and/or the posture feature parameter, the controller is adapted to determine the noise reduction parameter of the active noise reduction of the noise reduction module, thereby ensuring that the noise reduction effect can be matched with the actual positions of the ears of the human body in the vehicle, and realizing the improvement of the noise reduction effect of the active noise reduction.
Further, based on the above embodiment, another embodiment of the in-vehicle noise reduction method of the present application is provided. Specifically, in this embodiment, based on being provided with on-vehicle pillow in the car, on-vehicle pillow has along the first tip and the second tip of horizontal setting, and the noise reduction module in the car is including locating the first noise reduction module of first tip and locating the second noise reduction module of second tip.
Based on this, referring to fig. 4, the controller acquires the position feature parameters of the human head in the vehicle, including:
step S111, the controller acquires a first distance and a second distance, wherein the first distance and the second distance are position characteristic parameters of the head of the human body in the vehicle; the first distance is the distance between one side of the head of the human body in the vehicle, which is close to the first end, and the second distance is the distance between one side of the head of the human body in the vehicle, which is close to the second end, and the second end.
The first end portion is specifically provided with a first distance measuring module, and the controller can analyze and obtain the first distance by acquiring data acquired by the first distance measuring module. The second end part is specifically provided with a second distance measuring module, and the data acquired by the second distance measuring module can be analyzed to obtain a second distance.
As shown in fig. 5, fig. 5 is a schematic view of a state that a neck of a vehicle-mounted person is abutted against the vehicle-mounted pillow, 01 is a head of the vehicle-mounted person, 02 is the vehicle-mounted pillow, arrow directions are directions which are indicated by the arrows in the embodiment of the invention, a first end is 021, a second end is 022, wherein D1 is a first distance, and D2 is a second distance.
In this embodiment, through the first distance and the second distance of human head and on-vehicle pillow limit in the car, the position of ear about on the head that the on-vehicle pillow of characterization was supported that can be accurate to guarantee the noise reduction effect of noise reduction module can with in-car personnel about the actual position phase-match of ear, realize the further improvement of noise reduction effect.
Further, based on the above step S111, the state parameters include a position feature parameter and an attitude feature parameter, and referring to fig. 4, step S10 includes step S112 in addition to step S111: the controller obtains the gesture characteristic parameters of the human head in the vehicle. Further, the noise reduction parameters include a first noise reduction parameter and a second noise reduction parameter, based on which, referring to fig. 4, step S20 includes:
step S21, the controller determines a first noise reduction parameter and a second noise reduction parameter according to the first distance, the second distance and the gesture characteristic parameter;
the first and second different distances and the gesture feature parameters correspond to the first and second different noise reduction parameters. Specifically, the corresponding relation between the first distance, the second distance and the gesture characteristic parameter and the first noise reduction parameter and the second noise reduction parameter is pre-established. The corresponding relationship may be specifically in the form of a mapping relationship, a calculation relationship, and the like. The controller obtains the corresponding relation, and can determine the first noise reduction parameter and the second noise reduction parameter corresponding to the current first distance, the second distance and the gesture characteristic parameter.
Specifically, in this embodiment, the controller determines the first noise reduction parameter according to the first distance and the gesture feature parameter, and the controller determines the second noise reduction parameter according to the second distance and the gesture feature parameter. Under the condition that the gesture characteristic parameters are unchanged, the noise reduction intensity and the noise reduction time length in the first noise reduction parameters are in an increasing trend along with the increase of the first distance; under the condition that the gesture characteristic parameters are unchanged, the noise reduction intensity and the noise reduction time length in the second noise reduction parameters are in an increasing trend along with the increase of the second distance. In other embodiments, the controller may also determine the first noise reduction parameter in combination with the first distance, the second distance, and the gesture feature parameter, and determine the second noise reduction parameter in combination with the first distance, the second distance, and the gesture feature parameter.
Step S30 includes:
in step S31, the controller controls the first noise reduction module to perform the active noise reduction operation according to the first noise reduction parameter, and controls the second noise reduction module to perform the active noise reduction operation according to the second noise reduction parameter.
In this embodiment, based on steps S111 to S112, and steps S21 and S31, the controller performs active noise reduction respectively through two noise reduction modules in the vehicle-mounted pillow, which are close to different side ears, so as to further adapt to different positions of left and right ears of vehicle-mounted personnel to accurately adopt different noise reduction parameters for differential noise reduction, and further improve the noise reduction effect of the noise reduction modules. The controller determines a first noise reduction parameter by combining the first distance and the gesture characteristic parameter, and determines a second noise reduction parameter by combining the second distance and the gesture characteristic parameter, so that accurate matching of the determined noise reduction parameter and the actual positions of the left ear and the right ear is ensured, and the noise reduction effect in the vehicle is further improved.
Specifically, in this embodiment, the gesture feature parameters include three-axis rotation angles of the human head in the vehicle, one of the three-axis rotation angles is a first rotation angle of the human head in the vehicle in a transverse direction, the controller determines a first noise reduction parameter according to the first distance and the gesture feature parameters, determines a second noise reduction parameter according to the second distance and the gesture feature parameters, and includes:
step S211, the controller acquires a first corresponding relation and a second corresponding relation according to the first rotation angle; the first corresponding relation is a corresponding relation among the first distance, the triaxial rotation angle and the first noise reduction parameter, and the second corresponding relation is a corresponding relation among the first distance, the triaxial rotation angle and the second noise reduction parameter;
the three-axis rotation angle specifically includes a first rotation angle of the y-axis, a second rotation angle of the x-axis, and a third rotation angle of the z-axis. The x-axis, y-axis and z-axis are perpendicular to each other. The vehicle-mounted pillow comprises a vehicle-mounted pillow body, a y-axis, an x-axis, a z-axis and a z-axis, wherein the y-axis is arranged along the transverse direction of the vehicle-mounted pillow body, the x-axis is arranged along the vertical direction, and the z-axis is arranged along the direction perpendicular to the x-axis and the z-axis at the same time.
Specifically, the first correspondence relationship and the second correspondence relationship corresponding to the different first rotation angles are different. In this embodiment, the first rotation angle is divided into at least two sections in advance, and different angle sections correspond to different first correspondence and second correspondence. The controller may determine an angle interval in which the current first rotation angle is located, and use the correspondence associated with the determined angle interval as the first correspondence and the second correspondence.
In step S212, the controller determines a first noise reduction parameter corresponding to the first distance and the triaxial rotation angle according to the first correspondence, and determines a second noise reduction parameter corresponding to the second distance and the triaxial rotation angle according to the second correspondence.
Specifically, in the present embodiment, the relationship among the first rotation angle, the first correspondence relationship, and the second correspondence relationship is specifically as follows:
in the above relation, N_level L N_level is the first noise reduction parameter R The pitch, the roll are three-axis rotation angles, the roll is the first rotation angle in the embodiment, the l_distance is the first Distance, the r_distance is the second Distance, and the other parameters are preset parameters.
Based on the above relationship, when the first rotation angle is 36, the controller can pass Determining a first noise reduction parameter, by which the controller can pass +.> Determining a second noise reduction parameter; when the first rotation angle is-25, the controller can pass +.>Determining a first noise reduction parameter, the controller being operable byDetermining a second noise reduction parameter。
Based on this, in the embodiment, through the steps S211 to S212 described above, since the noise reduction effect of the two noise reduction modules that are set in the transverse direction is greatly affected by the direction in which the human head in the vehicle rotates in the transverse direction, the controller obtains the first correspondence for determining the first noise reduction parameter and the second correspondence for determining the second noise reduction parameter based on the first rotation angle, so that the accuracy of the determined first noise reduction parameter and second noise reduction parameter is further improved, the noise reduction effect of the vehicle-mounted pillow is further improved, and the accurate matching with the actual noise reduction requirement of the user is ensured.
Further, based on any one of the above embodiments, a further embodiment of the in-vehicle noise reduction method of the present application is provided. In this embodiment, the noise reduction parameters include noise reduction strength, and referring to fig. 6, before step S20, the method further includes:
step S01, a controller acquires user identity information corresponding to the head of a human body in the vehicle;
in this embodiment, the user identification information is specifically divided based on the use state of the vehicle by the user, and may specifically include a driver and a passenger. In other embodiments, the user identity information may also be partitioned according to user age, gender, etc.
The user identity information can be obtained by acquiring a user input instruction, and can also be obtained by means of image recognition, object distance sensing and the like. In this embodiment, the vehicle-mounted pillows are respectively provided at the driving position and the passenger position. When an object appears in the area where the vehicle-mounted pillow of the driving position is located (the object can be detected by the ranging module in the pillow), the controller can consider that the object is the head of the human body, and meanwhile, the user identity information corresponding to the head is the driver; when an object appears in the region where the vehicle-mounted pillow of the passenger space is located (the object can be detected by the ranging module in the pillow), the controller can consider that the object is the head of the human body, and meanwhile, the user identity information corresponding to the head is the passenger. Based on the above, the controller can determine the user identity information corresponding to the head based on the obtained position information by obtaining the position information of the setting of the vehicle-mounted pillow supporting the head.
Step S02, the controller obtains a noise reduction intensity range corresponding to the user identity information;
the noise reduction intensity ranges corresponding to different user identity information are different. The noise reduction intensity range corresponding to the user identity information can be set by the user, and can also be preconfigured for the system.
In this embodiment, the user identity information includes a driver and a passenger, and when the user identity information is the driver of the vehicle, the controller takes the first noise reduction intensity range as the noise reduction intensity range; when the user identity information is a passenger of the vehicle, the controller takes the second noise reduction intensity range as a noise reduction intensity range; wherein the intensity in the first noise reduction intensity range is smaller than the intensity in the second noise reduction intensity range.
Step S20 includes:
in step S201, the controller determines the noise reduction intensity according to the state parameter within the noise reduction intensity range.
Because the driver can not be too high in order to guarantee driving safety noise reduction intensity, and the passenger is higher in order to create quiet and comfortable noise reduction intensity of the environment demand for the driver, the controller adopts different noise reduction intensity ranges based on different identities of vehicle-mounted personnel, so that the determined noise reduction intensity can meet the noise reduction demands of the personnel with different identities. The driving safety of the vehicle can be met due to the fact that the noise reduction intensity corresponding to the driver is low, and the comfort requirement of the passenger can be met due to the fact that the noise reduction intensity corresponding to the passenger is high.
Further, based on any one of the above embodiments, still another embodiment of the in-vehicle noise reduction method of the present application is provided. In this embodiment, the state parameters include a posture feature parameter of the head, and when the user identity corresponding to the head is the driver, referring to fig. 7, after step S10, the method further includes:
step S200, when the gesture characteristic parameters are located in the range of the head gesture parameters corresponding to the suspected dangerous driving behaviors, the controller acquires an image of the head of the human body in the vehicle;
note that, the posture feature parameter in the present embodiment is the same as that in the above embodiment.
Specifically, the head posture parameter range may be determined in advance based on posture parameters of the human head in the vehicle when a suspected dangerous driving behavior (such as inattention or fatigue driving) occurs. For example, the controller may acquire an angle range in which the deflection angle of the human head in the vehicle from the forward direction of the vehicle is large when the attention is not focused as the head posture parameter range corresponding to the suspected dangerous driving behavior here, or may acquire a deflection angle range in which the head is low when the fatigue driving is performed as the head posture parameter range corresponding to the suspected dangerous driving behavior here.
The head image can be obtained by acquiring data acquired by a camera arranged in the driving cavity.
Step S300, if dangerous driving behaviors of a user corresponding to the head of the human body in the vehicle are recognized according to the image of the head of the human body in the vehicle, the controller sends out prompt information;
specifically, in the present embodiment, the controller extracts a face image from an image of the head of the human body in the vehicle; when the face image is a side image, the controller determines that dangerous driving behaviors exist in the user corresponding to the human head in the vehicle. In addition, the controller extracts a face image in an image of the head of the human body in the vehicle, and when the face image is a front image, the controller extracts an eye image in the face image; the controller determines the eye state of the user corresponding to the head of the human body in the vehicle according to the eye image; when the eye state is eye closing and the eye closing time is longer than or equal to the set time, the controller determines that dangerous driving behaviors exist in the user corresponding to the human head in the vehicle. If the face image is a front image and the eye state does not have the eye closing time length reaching more than the set time length, the user can be considered to have no dangerous driving behavior.
Specifically, the mode of speaker broadcast in the controllable on-vehicle pillow outputs the corresponding prompt message of current dangerous driving action.
In this embodiment, by the above manner, when the suspected dangerous driving behavior occurs in the head state, the controller further confirms whether the dangerous driving behavior exists in the user through image recognition, so as to ensure that the recognized dangerous driving behavior of the user is accurately recognized, and timely sends out prompt information when the dangerous driving behavior is recognized, so as to ensure the driving safety of the vehicle.
In addition, the embodiment of the invention also provides a computer readable storage medium, wherein the computer readable storage medium is stored with an in-vehicle noise reduction program, and the processor realizes the relevant steps of any embodiment of the in-vehicle noise reduction method when executing the in-vehicle noise reduction program.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The foregoing embodiment numbers of the present invention are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.
From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) as described above, comprising instructions for causing a terminal device (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to perform the method of the embodiments of the present invention.
The foregoing description is only of the preferred embodiments of the present invention, and is not intended to limit the scope of the invention, but rather is intended to cover any equivalents of the structures or equivalent processes disclosed herein or in the alternative, which may be employed directly or indirectly in other related arts.
Claims (10)
1. A method of noise reduction in a vehicle, comprising:
acquiring position characteristic parameters and posture characteristic parameters of the head of a human body in the vehicle, wherein the position characteristic parameters and the posture characteristic parameters are state parameters;
determining noise reduction parameters according to the state parameters;
controlling a noise reduction module in the vehicle to execute active noise reduction operation according to the noise reduction parameters;
the vehicle-mounted pillow is arranged in the vehicle, the vehicle-mounted pillow is provided with a first end part and a second end part which are transversely arranged, and the position characteristic parameters of the head of the human body in the vehicle are obtained, and the vehicle-mounted pillow comprises:
acquiring a first distance and a second distance, wherein the first distance and the second distance are position characteristic parameters of the head of the human body in the vehicle; the first distance is the distance between one side of the head of the vehicle interior body, which is close to the first end, and the second distance is the distance between one side of the head of the vehicle interior body, which is close to the second end, and the second end;
the noise reduction module is arranged on the vehicle-mounted pillow, the noise reduction module comprises a first noise reduction module arranged on the first end part and a second noise reduction module arranged on the second end part, the noise reduction parameters are determined according to the state characteristic parameters, and the noise reduction module comprises:
determining a first noise reduction parameter according to the first distance and the gesture feature parameter, and determining a second noise reduction parameter according to the second distance and the gesture feature parameter, wherein the corresponding relation between the first distance, the second distance and the gesture feature parameter, the first noise reduction parameter and the second noise reduction parameter is preset, and when the gesture feature parameter is unchanged, the noise reduction intensity and the noise reduction time length in the first noise reduction parameter are in an increasing trend along with the increase of the first distance; when the gesture characteristic parameters are unchanged, the noise reduction intensity and the noise reduction time length in the second noise reduction parameters are in an increasing trend along with the increase of the second distance;
the step of controlling the noise reduction module in the vehicle to execute the active noise reduction operation according to the noise reduction parameters comprises the following steps:
controlling the first noise reduction module to execute active noise reduction operation according to the first noise reduction parameters, and controlling the second noise reduction module to execute active noise reduction operation according to the second noise reduction parameters;
the gesture feature parameters include three-axis rotation angles of the human head in the vehicle, one of the three-axis rotation angles is a first rotation angle of the human head in the vehicle in a transverse direction, the first noise reduction parameters are determined according to the first distance and the gesture feature parameters, the second noise reduction parameters are determined according to the second distance and the gesture feature parameters, and the method includes:
acquiring a first corresponding relation and a second corresponding relation according to the first rotation angle;
and determining a first noise reduction parameter corresponding to the first distance and the triaxial rotation angle according to the first corresponding relation, and determining a second noise reduction parameter corresponding to the second distance and the triaxial rotation angle according to the second corresponding relation.
2. The method of claim 1, wherein the noise reduction parameters comprise noise reduction strength, and wherein prior to determining the noise reduction parameters from the state parameters, the method further comprises:
acquiring user identity information corresponding to the head of the human body in the vehicle;
acquiring a noise reduction intensity range corresponding to the user identity information;
the determining the noise reduction parameter according to the state parameter comprises the following steps:
and determining the noise reduction intensity according to the state parameter in the noise reduction intensity range.
3. The method of claim 2, wherein the obtaining the noise reduction intensity range corresponding to the user identity information comprises:
when the user identity information is a driver of the vehicle, taking the first noise reduction intensity range as a noise reduction intensity range; or,
and when the user identity information is a passenger of the vehicle, taking the second noise reduction intensity range as a noise reduction intensity range.
4. A method according to any one of claims 1 to 3, wherein the state parameter includes a posture feature parameter of the human head in the vehicle, and the method further comprises, after the acquiring of the state parameter of the human head in the vehicle:
when the gesture characteristic parameters are located in the head gesture parameter range corresponding to the suspected dangerous driving behavior, acquiring an image of the head of the human body in the vehicle;
and if the dangerous driving behavior of the user corresponding to the human head in the vehicle is identified according to the image of the human head in the vehicle, sending out prompt information.
5. The method of claim 4, wherein the identifying, from the image of the in-vehicle human head, that the dangerous driving behavior exists for the user corresponding to the in-vehicle human head comprises:
extracting a face image in the image of the head of the human body in the vehicle;
and when the face image is a side image, determining dangerous driving behaviors of the user corresponding to the human head in the vehicle.
6. The method of claim 4, wherein the identifying, from the image of the in-vehicle human head, that the dangerous driving behavior exists for the user corresponding to the in-vehicle human head comprises:
extracting a face image in the image of the head of the human body in the vehicle;
extracting an eye image in the face image when the face image is a front image;
determining the eye state of a user corresponding to the head of the human body in the vehicle according to the eye image;
and when the eye state is eye closing and the eye closing time length is greater than or equal to the set time length, determining that dangerous driving behaviors exist in the user corresponding to the human head in the vehicle.
7. A controller comprising a memory, a processor and an in-vehicle noise reduction program stored on the memory and executable on the processor, the processor implementing the steps of the method of any one of claims 1 to 6 when the in-vehicle noise reduction program is executed.
8. The vehicle-mounted pillow, characterized in that the vehicle-mounted pillow comprises an information acquisition module, a noise reduction module and the controller according to claim 7, wherein the information acquisition module and the noise reduction module are connected with the controller, and the information acquisition module and the noise reduction module are connected with the controller, wherein:
the information acquisition module is used for acquiring state parameters of the head of the human body in the area where the vehicle-mounted pillow is located;
the noise reduction module is used for executing active noise reduction.
9. The vehicle pillow of claim 8 having a first end and a second end disposed in a lateral direction, the information acquisition module including a first ranging module disposed at the first end and a second ranging module disposed at the second end, wherein:
the first distance measuring module is used for collecting a first distance between one side of the head, which is close to the first end, and the first end;
the second ranging module is used for acquiring a second distance between one side of the head, which is close to the second end, and the second end; and, in addition, the method comprises the steps of,
the noise reduction module comprises a first noise reduction module arranged at the first end part and a second noise reduction module arranged at the second end part.
10. A computer readable storage medium, wherein an in-vehicle noise reduction program is stored on the computer readable storage medium, and wherein a processor implements the steps of the method according to any one of claims 1 to 6 when executing the in-vehicle noise reduction program.
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| CN115273785A (en) * | 2022-06-23 | 2022-11-01 | 中国第一汽车股份有限公司 | In-vehicle active noise reduction method and system based on distance sensor |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE10036435C1 (en) * | 2000-07-26 | 2001-09-20 | Siemens Ag | Active noise suppression system, especially for motor vehicle, generates counter-phase sound signal depending on position and/or orientation of listener and detected noise |
| CN107174080A (en) * | 2017-06-19 | 2017-09-19 | 深圳新有智科技有限公司 | A kind of pillow with active noise reduction and dynamic calibration function |
| CN108710106A (en) * | 2018-05-15 | 2018-10-26 | 中国科学院声学研究所 | A kind of active head rest device based on infrared positioning |
| CN110111764A (en) * | 2019-05-13 | 2019-08-09 | 广州小鹏汽车科技有限公司 | Vehicle and its noise-reduction method and denoising device |
| CN110765807A (en) * | 2018-07-25 | 2020-02-07 | 阿里巴巴集团控股有限公司 | Driving behavior analysis method, driving behavior processing method, driving behavior analysis device, driving behavior processing device and storage medium |
| CN111583896A (en) * | 2020-05-13 | 2020-08-25 | 苏州静声泰科技有限公司 | Noise reduction method of multi-channel active noise reduction headrest |
| CN111599337A (en) * | 2020-05-13 | 2020-08-28 | 苏州静声泰科技有限公司 | Noise reduction method of external active noise reduction headrest |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9595251B2 (en) * | 2015-05-08 | 2017-03-14 | Honda Motor Co., Ltd. | Sound placement of comfort zones |
| JP7002278B2 (en) * | 2017-10-13 | 2022-01-20 | パナソニック インテレクチュアル プロパティ コーポレーション オブ アメリカ | Noise control device and noise control method |
-
2020
- 2020-10-26 CN CN202011158379.0A patent/CN112331173B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE10036435C1 (en) * | 2000-07-26 | 2001-09-20 | Siemens Ag | Active noise suppression system, especially for motor vehicle, generates counter-phase sound signal depending on position and/or orientation of listener and detected noise |
| CN107174080A (en) * | 2017-06-19 | 2017-09-19 | 深圳新有智科技有限公司 | A kind of pillow with active noise reduction and dynamic calibration function |
| CN108710106A (en) * | 2018-05-15 | 2018-10-26 | 中国科学院声学研究所 | A kind of active head rest device based on infrared positioning |
| CN110765807A (en) * | 2018-07-25 | 2020-02-07 | 阿里巴巴集团控股有限公司 | Driving behavior analysis method, driving behavior processing method, driving behavior analysis device, driving behavior processing device and storage medium |
| CN110111764A (en) * | 2019-05-13 | 2019-08-09 | 广州小鹏汽车科技有限公司 | Vehicle and its noise-reduction method and denoising device |
| CN111583896A (en) * | 2020-05-13 | 2020-08-25 | 苏州静声泰科技有限公司 | Noise reduction method of multi-channel active noise reduction headrest |
| CN111599337A (en) * | 2020-05-13 | 2020-08-28 | 苏州静声泰科技有限公司 | Noise reduction method of external active noise reduction headrest |
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