Signal processing method and device, intelligent automobile and storage medium

Abstract

The embodiment of the invention provides a signal processing method and device, an intelligent automobile and a computer readable storage medium, and relates to the technical field of intelligent automobiles. The method comprises the following steps: acquiring at least one induction signal, and for each induction signal, sampling the induction signal based on a preset sampling frequency when the amplitude of the induction signal is greater than a preset threshold value to obtain a sampling curve of the induction signal; determining feature information of the sampling curve according to curvature information of the sampling curve, and when the feature information meets a preset condition, determining that the sensing signal is a trigger signal; and controlling a back door of the automobile to be opened based on the trigger signal. According to the embodiment of the invention, the targeted sampling analysis of the induction signal is realized, and when the characteristic information of the sampling curve meets the preset condition, the induction signal is determined as the effective trigger signal, so that the accuracy of the trigger signal is ensured, the false triggering of the vehicle back door caused by other interference signals such as an electromagnetic signal during charging is avoided, and the safety of the vehicle back door is improved. And the user experience is improved.

Description

Technical Field

[0001] The present application relates to the field of smart car technology, and in particular to a signal processing method, device, smart car and storage medium. Background Art

[0002] With the development of modern sensing and intelligent control technologies, cars are becoming more and more intelligent. The induction tailgate is undoubtedly a smart and convenient experience. It is operated by built-in intelligent sensors, which are usually located under the rear of the vehicle, such as the detector at the bottom of the rear. When the driver stands near the rear of the car, he only needs to wave or touch it lightly, and the built-in sensor of the vehicle can recognize the action, and then the tailgate will open automatically without manual operation.

[0003] In the prior art, the detector at the rear of the vehicle is often interfered by environmental factors. For example, when the electric vehicle is charging, the electromagnetic interference generated may cause the back door to open automatically, resulting in the problem of false triggering. Summary of the invention

[0004] The present application provides a signal processing method for solving the problem of false triggering of the back door in the prior art.

[0005] According to one aspect of the present application, a signal processing method is provided, which is applied to a smart car. The method includes:

[0006] Acquire at least one sensing signal, and for each sensing signal, when the amplitude of the sensing signal is greater than a preset threshold, sample the sensing signal based on a preset sampling frequency to obtain a sampling curve of the sensing signal;

[0007] Determine characteristic information of the sampling curve according to the curvature information of the sampling curve, and determine that the sensing signal is a trigger signal when the characteristic information meets a preset condition;

[0008] The rear door of the vehicle is controlled to open based on the trigger signal.

[0009] In a possible implementation, the at least one sensing signal includes a first sensing signal and a second sensing signal;

[0010] When the characteristic information meets the preset conditions, the sensing signal is determined to be a trigger signal, including:

[0011] When the characteristic information meets the preset condition, determining the triggering time interval between the first sensing signal and the second sensing signal;

[0012] When the trigger time interval is less than the preset time interval threshold, the sensing signal is determined to be a trigger signal.

[0013] In a possible implementation, the above-mentioned determining the triggering time interval between the first sensing signal and the second sensing signal includes:

[0014] Obtaining a first sampling start time of the first sensing signal and a second sampling start time of the second sensing signal; wherein the first sampling start time is the time when the amplitude of the first sensing signal rises from less than a preset threshold to greater than the preset threshold; and the second sampling start time is the time when the amplitude of the second sensing signal rises from less than the preset threshold to greater than the preset threshold;

[0015] The triggering time interval between the first sensing signal and the second sensing signal is determined based on the difference between the first sampling start time and the second sampling start time.

[0016] In yet another possible implementation, when the trigger time interval is less than a preset time interval threshold, determining that the sensing signal is a trigger signal includes:

[0017] When the trigger time interval is less than the preset time interval threshold, determining a first sampling time length of the first sensing signal and a second sampling time length of the second sensing signal;

[0018] When the first sampling time length and the second sampling time length are both less than the preset time length threshold, it is determined that the sensing signal is a trigger signal.

[0019] In yet another possible implementation, the determining of the first sampling duration of the first sensing signal and the second sampling duration of the second sensing signal includes:

[0020] Acquire a first sampling end time of the first sensing signal and a second sampling end time of the second sensing signal; wherein the first sampling end time is the time when the amplitude of the first sensing signal decreases from greater than a preset threshold to less than the preset threshold; and the second sampling end time is the time when the amplitude of the second sensing signal decreases from greater than the preset threshold to less than the preset threshold;

[0021] Based on the first sampling start time, the first sampling end time, the second sampling start time, and the second sampling end time, a first sampling duration of the first sensing signal and a second sampling duration of the second sensing signal are determined.

[0022] In another possible implementation, the above-mentioned preset conditions include:

[0023] The characteristic information of the sampling curve includes that the curvature of the sampling curve gradually increases to a target value and then gradually decreases as the sampling time goes by.

[0024] In another possible implementation, the above-mentioned controlling the opening of the rear door of the automobile based on the trigger signal includes:

[0025] The trigger signal is sent to the vehicle information unit of the car, so that the vehicle information unit drives the back door of the car to open according to the trigger signal and the vehicle state and key location of the car.

[0026] According to another aspect of an embodiment of the present application, a signal processing device is provided, which is applied to a smart car, and includes:

[0027] A sampling module, used to obtain at least one sensing signal, and for each sensing signal, when the amplitude of the sensing signal is greater than a preset threshold, the sensing signal is sampled based on a preset sampling frequency to obtain a sampling curve of the sensing signal;

[0028] A determination module, used to determine characteristic information of the sampling curve according to the curvature information of the sampling curve, and when the characteristic information meets a preset condition, determine that the sensing signal is a trigger signal;

[0029] The control module is used to control the opening of the rear door of the vehicle based on a trigger signal.

[0030] According to another aspect of the present application, an electronic device is provided, which includes: a memory, a processor, and a computer program stored in the memory, and the processor executes the computer program to implement the steps of the method shown in the first aspect of the present application.

[0031] According to another aspect of the present application, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps of the method shown in the first aspect of the present application are implemented.

[0032] The beneficial effects of the technical solution provided by this application are:

[0033] The signal processing method, device, smart car and storage medium provided by the present application can obtain at least one sensing signal and sample each sensing signal: when the amplitude of the sensing signal is greater than a preset threshold, the sensing signal is sampled based on a preset sampling frequency to obtain a sampling curve of the sensing signal; then the characteristic information of the sampling curve is determined based on the curvature information of the sampling curve, and when the characteristic information meets the preset conditions, the sensing signal is determined to be a trigger signal; and then the rear door of the car is controlled to open based on the trigger signal. The present application implements targeted sampling and analysis of the sensing signal. When the characteristic information of the sampling curve meets the preset conditions, the sensing signal is determined to be a valid trigger signal, which ensures the accuracy of the trigger signal, avoids the false triggering of the vehicle's rear door by other interference signals such as electromagnetic signals during charging, and improves the user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, a brief introduction will be given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0035] Figure 1 A flowchart of a signal processing method provided in an embodiment of the present application;

[0036] Figure 2 A flowchart of an exemplary signal processing method provided in an embodiment of the present application;

[0037] Figure 3 A capacitance signal sampling curve diagram in a signal processing method provided in an embodiment of the present application;

[0038] Figure 4 A schematic diagram of the structure of a signal processing device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0039] Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. However, it should be understood that these descriptions are exemplary only and are not intended to limit the scope of the present disclosure. In addition, in the following description, descriptions of well-known structures and technologies are omitted to avoid unnecessary confusion of the concepts of the present disclosure.

[0040] Various structural schematic diagrams according to embodiments of the present disclosure are shown in the accompanying drawings. These figures are not drawn to scale, and some details are magnified and some details may be omitted for the purpose of clear expression. The shapes of various regions and layers shown in the figures and the relative sizes and positional relationships therebetween are only exemplary, and may deviate in practice due to manufacturing tolerances or technical limitations, and those skilled in the art may further design regions / layers with different shapes, sizes, and relative positions according to actual needs.

[0041] In the context of the present disclosure, when a layer / element is referred to as being "on" another layer / element, the layer / element may be directly on the other layer / element or an intervening layer / element may exist therebetween. In addition, if a layer / element is "on" another layer / element in one orientation, the layer / element may be "below" the other layer / element when the orientation is reversed.

[0042] In recent years, with the development of automobile electrification and intelligence, the application of kicking back door in electric vehicles has become more and more widespread. When you have things in your hands or don't want to open the trunk in winter, it is very convenient to open the back door by lifting your legs. However, when charging, the electromagnetic interference generated by some charging piles may cause the kicking to be triggered by mistake, and the back door will open automatically, causing damage to the trunk or loss of property in the trunk. Therefore, how to effectively avoid the kicking to be triggered by mistake in the charging scene is a technical problem that needs to be solved in the current use of electric vehicles.

[0043] Based on the above technical problems, some embodiments of the present application implement targeted sampling and analysis of the sensing signal. When the characteristic information of the sampling curve meets the preset conditions, the sensing signal is determined to be a valid trigger signal, thereby ensuring the accuracy of the trigger signal, avoiding false triggering of the vehicle's tailgate by other interference signals such as electromagnetic signals during charging, and improving the user experience.

[0044] The following is a detailed description of the technical solution of the present application and how the technical solution of the present application solves the above-mentioned technical problems with specific embodiments. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of the present application will be described below in conjunction with the accompanying drawings.

[0045] The present application provides a signal processing method, such as Figure 1 As shown, it can be applied to smart cars, and the method includes:

[0046] S101, acquiring at least one sensing signal, and for each sensing signal, when the amplitude of the sensing signal is greater than a preset threshold, sampling the sensing signal based on a preset sampling frequency to obtain a sampling curve of the sensing signal.

[0047] Optionally, the sensing signal may be collected by a capacitive sensing controller, the sensing signal may be a capacitive signal, and the amplitude of the sensing signal may be a capacitive value.

[0048] Specifically, a plurality of sensing strips may be provided on the rear bumper of the car. When the user kicks the rear side of the car, differential capacitance changes may occur on the sensing strips. The capacitance value of each sensing strip may be detected by a sensing controller with a built-in capacitance detection chip.

[0049] Optionally, the threshold value may be set to 25 μF. When the amplitude of the sensing signal reaches 25 μF, the sensing signal may be sampled based on a period of 10 ms to obtain a sampling curve of each sensing signal.

[0050] S102, determining characteristic information of the sampling curve according to the curvature information of the sampling curve, and determining that the sensing signal is a trigger signal when the characteristic information meets a preset condition.

[0051] Among them, the preset conditions that the above-mentioned characteristic information needs to meet can be obtained based on the capacitance change curve collected when the human body kicks normally.

[0052] Optionally, the characteristics of the sampling curve can be determined based on the curvature information and the amplitude of the sampling curve. When the curvature of the sampling curve gradually increases and then gradually decreases with the passage of sampling time, and the amplitude of the sampling curve also gradually increases and then gradually decreases with the passage of sampling time, presenting a parabola-like curve change characteristic, it can be determined that the characteristic information meets the preset conditions and the sensing signal is determined as a trigger signal.

[0053] S103, controlling the opening of the rear door of the vehicle based on the trigger signal.

[0054] Specifically, the smart car can determine the vehicle status and the position of the car key based on the trigger signal, and open the back door when the car key is within the touch range of the car and the vehicle is in a parked state.

[0055] The embodiment of the present application obtains at least one sensing signal and samples each sensing signal: when the amplitude of the sensing signal is greater than a preset threshold, the sensing signal is sampled based on a preset sampling frequency to obtain a sampling curve of the sensing signal; then the characteristic information of the sampling curve is determined based on the curvature information of the sampling curve, and when the characteristic information meets the preset conditions, the sensing signal is determined to be a trigger signal; and then the rear door of the car is controlled to open based on the trigger signal. The present application implements targeted sampling and analysis of the sensing signal. When the characteristic information of the sampling curve meets the preset conditions, the sensing signal is determined to be a valid trigger signal, which ensures the accuracy of the trigger signal, avoids the false triggering of the vehicle's rear door by other interference signals such as electromagnetic signals during charging, and improves the user experience.

[0056] An embodiment of the present application provides a possible implementation method, wherein the at least one sensing signal includes a first sensing signal and a second sensing signal;

[0057] When the characteristic information meets the preset conditions, the sensing signal is determined to be a trigger signal, including:

[0058] S201: When the characteristic information meets a preset condition, determine a triggering time interval between a first sensing signal and a second sensing signal.

[0059] S202: When the trigger time interval is less than a preset time interval threshold, determine that the sensing signal is a trigger signal.

[0060] In an embodiment of the present application, the sensing controller is installed at the trunk position and is connected to the sensing strip on the rear bumper of the vehicle through a wiring harness. The kick sensing strip consists of sensing strip 1 and sensing strip 2; the two sensing strips are installed at the rear side and bottom of the inner side of the rear bumper. When the user kicks at the rear bumper of the car, the calf will approach sensing strip 2 and the instep will approach sensing strip 1. A differential capacitance change will occur on the two sensing strips, that is, a first sensing signal and a second sensing signal are generated. When the characteristic information corresponding to the first sensing signal and the second sensing signal meets the preset conditions, that is, it is similar to the capacitance change curve collected by the normal kicking of the human body, and the capacitance values ​​of the two sensing signals change almost simultaneously, for example, the trigger time interval between the first sensing signal and the second sensing signal does not exceed 300ms, then it can be determined that the above-mentioned first sensing signal and the second sensing signal are valid trigger signals.

[0061] The embodiment of the present application determines the validity of the sensing signal by the trigger time interval of each sensing signal. When the trigger time interval of two sensing signals is less than a preset time interval threshold, the sensing signal is determined to be a trigger signal, which can further improve the accuracy and validity of the trigger signal.

[0062] In an embodiment of the present application, a possible implementation method is provided, wherein the above-mentioned determination of the triggering time interval between the first sensing signal and the second sensing signal includes:

[0063] S301, obtaining a first sampling start time of a first sensing signal and a second sampling start time of a second sensing signal.

[0064] The first sampling start time is the time when the amplitude of the first sensing signal rises from less than the preset threshold to greater than the preset threshold; the second sampling start time is the time when the amplitude of the second sensing signal rises from less than the preset threshold to greater than the preset threshold.

[0065] S302: Determine a triggering time interval between the first sensing signal and the second sensing signal based on a difference between the first sampling start time and the second sampling start time.

[0066] In the embodiment of the present application, a first sampling start time of the first sensing signal and a second sampling start time of the second sensing signal may be determined based on sampling curves of the first sensing signal and the second sensing signal.

[0067] The embodiment of the present application determines the time consistency of signal triggering based on the triggering time interval of the first sensing signal and the second sensing signal. It can determine whether the signal collected by the sensing controller is generated by the user's kick based on at least two sensing signals, effectively avoiding the false triggering of interference signals caused by electromagnetic interference during charging, and further enhancing the user experience.

[0068] A possible implementation method is provided in an embodiment of the present application. When the trigger time interval is less than a preset time interval threshold, determining that the sensing signal is a trigger signal includes:

[0069] S401: When the trigger time interval is less than a preset time interval threshold, determine a first sampling time length of the first sensing signal and a second sampling time length of the second sensing signal.

[0070] In the embodiment of the present application, when the amplitude of the sensing signal is greater than a preset threshold, sampling starts, and when the amplitude of the sensing signal falls back to less than the preset threshold, sampling ends. The sampling duration can be determined based on the start sampling time and the end sampling time of each sensing signal.

[0071] S402: When the first sampling duration and the second sampling duration are both less than a preset duration threshold, determining that the sensing signal is a trigger signal.

[0072] Specifically, the preset duration threshold may be determined according to the duration of a human kicking action, and the time interval from the triggering threshold to the falling back to the threshold for each sampling curve, that is, the preset duration threshold may be set to 500ms.

[0073] Optionally, the calculation steps of the first sampling duration and the second sampling duration will be described in detail below.

[0074] In an embodiment of the present application, a possible implementation method is provided, wherein the determining of the first sampling duration of the first sensing signal and the second sampling duration of the second sensing signal includes:

[0075] S501, obtaining a first sampling end time of a first sensing signal and a second sampling end time of a second sensing signal.

[0076] The first sampling end time is the time when the amplitude of the first sensing signal decreases from greater than the preset threshold to less than the preset threshold; the second sampling end time is the time when the amplitude of the second sensing signal decreases from greater than the preset threshold to less than the preset threshold.

[0077] S502: Determine a first sampling duration of the first sensing signal and a second sampling duration of the second sensing signal based on the first sampling start time, the first sampling end time, the second sampling start time, and the second sampling end time.

[0078] The embodiment of the present application determines the duration of the kick sensing by the sampling duration of the sensing signal. When the first sampling duration of the first sensing signal and the second sampling duration of the second sensing signal are both less than a preset duration threshold, the sensing signal is determined to be a valid trigger signal, thereby further enhancing the accuracy of the back door triggering.

[0079] A possible implementation method is provided in an embodiment of the present application, and the above-mentioned preset conditions include:

[0080] The characteristic information of the sampling curve includes that the curvature of the sampling curve gradually increases to a target value and then gradually decreases as the sampling time goes by.

[0081] In some implementations, the preset condition may also include that the amplitude of the sampling curve gradually increases and then gradually decreases as the sampling time progresses.

[0082] In an embodiment of the present application, the sampling curve may be a parabola-like curve, and the sensing signal triggered by a human kicking action may be screened through the above-mentioned preset conditions, thereby further avoiding false triggering of the back door and improving the user experience.

[0083] In an embodiment of the present application, a possible implementation method is provided, wherein the above-mentioned control of opening the rear door of the automobile based on the trigger signal includes:

[0084] The trigger signal is sent to the vehicle information unit of the car, so that the vehicle information unit drives the back door of the car to open according to the trigger signal and the vehicle state and key location of the car.

[0085] Specifically, when the vehicle information unit receives a trigger signal, it can send a touch signal to the central controller. The central controller obtains the key location and vehicle status in response to the touch signal. When the key is located within the touch range of the car and the vehicle is in a parked state, the central controller sends an opening command to the vehicle information unit. After receiving the opening command, the vehicle information unit drives the back door to open.

[0086] The embodiment of the present application obtains the vehicle status and key location before triggering the tailgate through sensing signals. The tailgate is driven to open only when the key is within the touch range of the car and the vehicle is parked, further ensuring the safety of opening the tailgate.

[0087] In order to better understand the above signal processing method, Figure 2 and Figure 3 An example of the signal processing method of the present application is described in detail. The method is applied to a kick sensing system of a smart car. The kick sensing system includes a sensing controller and a sensing bar. The sensing controller is installed at the trunk position and is connected to the sensing bar on the rear bumper of the vehicle through a wiring harness. The sensing bar includes a sensing bar 1 and a sensing bar 2. The two sensing bars are respectively installed at the rear side and the bottom of the inner side of the rear bumper. The method includes the following steps:

[0088] S601, when the user kicks at the rear bumper of the car, the calf approaches the sensing bar 2, and the instep approaches the sensing bar 1, and differential capacitance signals are generated on the two sensing bars.

[0089] S602: The sensing controller has a built-in dual-channel capacitance detection chip, which detects differential capacitance signals of the sensing bar 1 and the sensing bar 2 respectively to obtain a first capacitance signal and a second capacitance signal.

[0090] S603, the capacitance detection chip sends the first capacitance signal and the second capacitance signal to the MCU (Microcontroller Unit) of the sensing controller through an IIC (Inter-Integrated Circuit) bus.

[0091] S604, the sensing controller MCU processes and calculates the first capacitance signal and the second capacitance signal: when the amplitudes of the first capacitance signal and the second capacitance signal both exceed 25μF, the signals are sampled with a period of 10ms to obtain the first sampling curve and the second sampling curve of the amplitude changing with time; when the first sampling curve and the second sampling curve both meet the parabolic graph of the amplitude and the curve which is first high and then low, and at the same time, the trigger sampling time interval of the first capacitance signal and the second capacitance signal is within 300ms, and the time interval of the first capacitance signal and the second capacitance signal from the trigger threshold to the falling back to the threshold does not exceed 500ms, it is determined that the above-mentioned first capacitance signal and the second capacitance signal meet the inductive change law of the normal kicking of the human body.

[0092] Figure 3 : is the first sampling curve corresponding to the sensing bar 1 and the second sampling curve corresponding to the sensing bar 2. The horizontal axis is time and the vertical axis is capacitance value. It can be seen that the capacitance values ​​of the sensing bar 1 and the sensing bar 2 change basically synchronously with time. At the same time, the first sampling curve and the second sampling curve are both parabolic in shape, so the collected capacitance signal can be used as a trigger signal.

[0093] S605, the sensing controller sets the trigger signal ks_kickDetected to 1, and sends the trigger signal to the VIU (Vehicle Information Unit), and the VIU sends the trigger signal to the OIB (OneIntelligent Brain), and after the OIB determines that the key position, vehicle status and other conditions meet the requirements, it sends the tailgate opening command to the VIU through the CAN bus (Controller Area Network), and the VIU drives the tailgate to open.

[0094] The present application embodiment provides a signal processing device, such as Figure 4 As shown, the signal processing device 40 may include: a sampling module 401, a determination module 402 and a control module 403;

[0095] The sampling module 401 is used to obtain at least one sensing signal. For each sensing signal, when the amplitude of the sensing signal is greater than a preset threshold, the sensing signal is sampled based on a preset sampling frequency to obtain a sampling curve of the sensing signal.

[0096] A determination module 402 is used to determine characteristic information of the sampling curve according to the curvature information of the sampling curve, and when the characteristic information meets a preset condition, determine that the sensing signal is a trigger signal;

[0097] The control module 403 is used to control the opening of the rear door of the vehicle based on the trigger signal.

[0098] An embodiment of the present application provides a possible implementation method, wherein the at least one sensing signal includes a first sensing signal and a second sensing signal;

[0099] When the characteristic information meets the preset condition, the determination module 402 determines that the sensing signal is a trigger signal, and is used to:

[0100] When the characteristic information meets the preset condition, determining the triggering time interval between the first sensing signal and the second sensing signal;

[0101] When the trigger time interval is less than the preset time interval threshold, the sensing signal is determined to be a trigger signal.

[0102] A possible implementation manner is provided in an embodiment of the present application. When determining the triggering time interval between the first sensing signal and the second sensing signal, the determining module 402 is configured to:

[0103] Obtaining a first sampling start time of the first sensing signal and a second sampling start time of the second sensing signal; wherein the first sampling start time is the time when the amplitude of the first sensing signal rises from less than a preset threshold to greater than the preset threshold; and the second sampling start time is the time when the amplitude of the second sensing signal rises from less than the preset threshold to greater than the preset threshold;

[0104] The triggering time interval between the first sensing signal and the second sensing signal is determined based on the difference between the first sampling start time and the second sampling start time.

[0105] A possible implementation method is provided in an embodiment of the present application. When the trigger time interval is less than a preset time interval threshold and the sensing signal is determined to be a trigger signal, the determination module 402 is used to:

[0106] When the trigger time interval is less than the preset time interval threshold, determining a first sampling time length of the first sensing signal and a second sampling time length of the second sensing signal;

[0107] When the first sampling time length and the second sampling time length are both less than the preset time length threshold, it is determined that the sensing signal is a trigger signal.

[0108] In an embodiment of the present application, a possible implementation is provided. When determining the first sampling duration of the first sensing signal and the second sampling duration of the second sensing signal, the determination module 402 is used to:

[0109] Acquire a first sampling end time of the first sensing signal and a second sampling end time of the second sensing signal; wherein the first sampling end time is the time when the amplitude of the first sensing signal decreases from greater than a preset threshold to less than the preset threshold; and the second sampling end time is the time when the amplitude of the second sensing signal decreases from greater than the preset threshold to less than the preset threshold;

[0110] Based on the first sampling start time, the first sampling end time, the second sampling start time, and the second sampling end time, a first sampling duration of the first sensing signal and a second sampling duration of the second sensing signal are determined.

[0111] A possible implementation method is provided in an embodiment of the present application, and the above-mentioned preset conditions include:

[0112] The characteristic information of the sampling curve includes that the curvature of the sampling curve gradually increases to a target value and then gradually decreases as the sampling time goes by.

[0113] In an embodiment of the present application, a possible implementation is provided. When the control module 403 controls the opening of the rear door of the vehicle based on the trigger signal, it is used to:

[0114] The trigger signal is sent to the vehicle information unit of the car, so that the vehicle information unit drives the back door of the car to open according to the trigger signal and the vehicle state and key location of the car.

[0115] The device of the embodiments of the present application can execute the method provided by the embodiments of the present application, and the implementation principles are similar. The actions performed by each module in the device of each embodiment of the present application correspond to the steps in the method of each embodiment of the present application. For the detailed functional description of each module of the device, please refer to the description in the corresponding method shown in the previous text, which will not be repeated here.

[0116] The embodiment of the present application obtains at least one sensing signal and samples each sensing signal: when the amplitude of the sensing signal is greater than a preset threshold, the sensing signal is sampled based on a preset sampling frequency to obtain a sampling curve of the sensing signal; then the characteristic information of the sampling curve is determined based on the curvature information of the sampling curve, and when the characteristic information meets the preset conditions, the sensing signal is determined to be a trigger signal; and then the rear door of the car is controlled to open based on the trigger signal. The present application implements targeted sampling and analysis of the sensing signal. When the characteristic information of the sampling curve meets the preset conditions, the sensing signal is determined to be a valid trigger signal, which ensures the accuracy of the trigger signal, avoids the false triggering of the vehicle's rear door by other interference signals such as electromagnetic signals during charging, and improves the user experience.

[0117] In an embodiment of the present application, a smart car is provided, including a memory, a processor, and a computer program stored in the memory. The processor executes the above-mentioned computer program to implement the steps of the signal processing method. Compared with the related art, the following can be achieved: the embodiment of the present application obtains at least one sensing signal and samples each sensing signal: when the amplitude of the sensing signal is greater than the preset threshold, the sensing signal is sampled based on the preset sampling frequency to obtain a sampling curve of the sensing signal; then the characteristic information of the sampling curve is determined according to the curvature information of the sampling curve, and when the characteristic information meets the preset conditions, the sensing signal is determined to be a trigger signal; and then the rear door of the car is controlled to open based on the trigger signal. The present application implements targeted sampling and analysis of the sensing signal. When the characteristic information of the sampling curve meets the preset conditions, the sensing signal is determined to be a valid trigger signal, which ensures the accuracy of the trigger signal, avoids the false triggering of the vehicle's rear door by other interference signals such as electromagnetic signals during charging, and improves the user experience.

[0118] In an embodiment of the present application, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps of the method shown in the first aspect of the embodiment of the present application are implemented.

[0119] In the above description, the technical details such as the patterning of each layer are not described in detail. However, those skilled in the art should understand that various technical means can be used to form layers, regions, etc. of desired shapes. In addition, in order to form the same structure, those skilled in the art can also design methods that are not completely the same as the methods described above. In addition, although the various embodiments are described above separately, this does not mean that the measures in the various embodiments cannot be used in combination to advantage.

[0120] Although the preferred embodiments of the present application have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications falling within the scope of the present application.

[0121] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is also intended to include these modifications and variations.

Claims

1. A signal processing method, applied to a smart car, characterized in that: The method comprises: Acquire at least one sensing signal, and for each of the sensing signals, when the amplitude of the sensing signal is greater than a preset threshold, sample the sensing signal based on a preset sampling frequency to obtain a sampling curve of the sensing signal; determining characteristic information of the sampling curve according to the curvature information of the sampling curve, and determining that the sensing signal is a trigger signal when the characteristic information meets a preset condition; The tailgate of the automobile is controlled to open based on the trigger signal.

2. The method according to claim 1, characterized in that The at least one sensing signal includes a first sensing signal and a second sensing signal; When the characteristic information meets a preset condition, determining that the sensing signal is a trigger signal includes: When the characteristic information meets a preset condition, determining a triggering time interval between the first sensing signal and the second sensing signal; When the trigger time interval is less than a preset time interval threshold, the sensing signal is determined to be a trigger signal.

3. The method according to claim 2, characterized in that The determining a triggering time interval between the first sensing signal and the second sensing signal includes: Acquire a first sampling start time of the first sensing signal and a second sampling start time of the second sensing signal; wherein the first sampling start time is the time when the amplitude of the first sensing signal increases from less than the preset threshold to greater than the preset threshold; and the second sampling start time is the time when the amplitude of the second sensing signal increases from less than the preset threshold to greater than the preset threshold; The triggering time interval between the first sensing signal and the second sensing signal is determined based on the difference between the first sampling start time and the second sampling start time.

4. The method according to claim 3, characterized in that When the trigger time interval is less than a preset time interval threshold, determining that the sensing signal is a trigger signal includes: When the trigger time interval is less than a preset time interval threshold, determining a first sampling time length of the first sensing signal and a second sampling time length of the second sensing signal; When the first sampling time length and the second sampling time length are both less than a preset time length threshold, it is determined that the sensing signal is a trigger signal.

5. The method according to claim 4, characterized in that The determining a first sampling duration of the first sensing signal and a second sampling duration of the second sensing signal includes: Acquire a first sampling end time of the first sensing signal and a second sampling end time of the second sensing signal; wherein the first sampling end time is the time when the amplitude of the first sensing signal decreases from greater than the preset threshold to less than the preset threshold; and the second sampling end time is the time when the amplitude of the second sensing signal decreases from greater than the preset threshold to less than the preset threshold; Based on the first sampling start time, the first sampling end time, the second sampling start time, and the second sampling end time, a first sampling duration of the first sensing signal and a second sampling duration of the second sensing signal are determined.

6. The method according to claim 1, characterized in that The preset conditions include: The characteristic information of the sampling curve includes that the curvature of the sampling curve gradually increases to a target value and then gradually decreases as the sampling time goes by.

7. The method according to claim 1, characterized in that The controlling the opening of the rear door of the automobile based on the trigger signal comprises: The trigger signal is sent to the vehicle information unit of the car, so that the vehicle information unit drives the back door of the car to open according to the trigger signal and the vehicle state and key location of the car.

8. A signal processing device, applied to a smart car, characterized in that: The device comprises: A sampling module, configured to obtain at least one sensing signal, and for each sensing signal, when the amplitude of the sensing signal is greater than a preset threshold, sampling the sensing signal based on a preset sampling frequency to obtain a sampling curve of the sensing signal; A determination module, configured to determine characteristic information of the sampling curve according to the curvature information of the sampling curve, and determine that the sensing signal is a trigger signal when the characteristic information meets a preset condition; A control module is used to control the opening of the back door of the vehicle based on the trigger signal.

9. A smart car, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the method according to any one of claims 1 to 7 when executing the computer program.

10. A storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

Images