A method and device for correcting the motion trajectory of a collision dummy head

Abstract

The present application relates to the field of data processing technology, and specifically, to a method and device for correcting the motion trajectory of a collision dummy's head. The method comprises: in the process of performing a dummy collision test, collecting the acceleration time series of the dummy's head in the local coordinate system of the head by an acceleration sensor configured on the dummy's head; collecting the deflection angle time series of the dummy's head in the local coordinate system of the head by an angle sensor configured on the dummy's head; performing frequency domain conversion on the acceleration time series to obtain frequency domain data of the acceleration; performing frequency domain conversion on the deflection angle time series to obtain frequency domain data of the deflection angle; the frequency domain data includes multiple frequencies and the amplitude of each frequency; correcting the multiple amplitudes of the acceleration according to a first correction coefficient set; and correcting the multiple amplitudes of the deflection angle according to a second correction coefficient set. This embodiment can correct the dummy head motion data collected by the sensor.

Description

Technical Field

[0001] The present application relates to the field of data processing technology, and in particular to a method and device for correcting the motion trajectory of a collision dummy's head. Background Art

[0002] Real vehicle collision test is the most basic, intuitive and convincing way to study automobile passive safety, but the whole vehicle collision test cycle is long and the cost is high. With the development of commercial finite element software and the improvement of the accuracy of finite element dummies, vehicle safety performance testing through virtual computing simulation is a very important method to evaluate vehicle safety performance.

[0003] In virtual simulation tests, in order to ensure the accuracy of the test results, it is necessary to benchmark with real vehicle collision tests. Among them, the motion trajectory of various parts of the dummy's body is one of the important benchmark physical quantities. Taking the dummy's head offset as an example, the parameter acquisition method is mainly calculated based on the output values ​​of the dummy's head angular velocity and acceleration sensors. For specific methods, please refer to the description in Chinese invention patent ZL202210828800.7. However, there are mechanical measurement errors and hysteresis in the current dummy head sensor signal acquisition process, which leads to inaccurate head offset and affects the benchmarking accuracy of the test results and simulation results.

[0004] In view of this, this application is filed. Summary of the invention

[0005] The purpose of the present application is to provide a method and device for correcting the motion trajectory of a collision dummy's head, so as to correct the dummy's head motion data collected by a sensor.

[0006] In order to achieve the above objectives, this application adopts the following technical solutions:

[0007] In a first aspect, the present application provides a method for correcting a collision dummy head motion trajectory, comprising:

[0008] During the dummy collision test, the acceleration time series of the dummy head in the local head coordinate system is collected by the acceleration sensor configured on the dummy head; the deflection angle time series of the dummy head in the local head coordinate system is collected by the angle sensor configured on the dummy head;

[0009] Convert the acceleration time series into frequency domain to obtain frequency domain data of acceleration;

[0010] Performing frequency domain conversion on the deflection angle time series to obtain frequency domain data of the deflection angle; the frequency domain data includes multiple frequencies and the amplitude of each frequency;

[0011] Correcting the multiple amplitudes of the acceleration according to a first correction coefficient set;

[0012] The multiple amplitudes of the deflection angle are corrected according to the second correction coefficient set.

[0013] In a second aspect, the present application provides an electronic device, including:

[0014] at least one processor, and a memory communicatively coupled to at least one of the processors;

[0015] The memory stores instructions executable by at least one of the processors, and the instructions are executed by at least one of the processors so that the at least one processor can execute any of the methods for correcting the motion trajectory of the collision dummy's head.

[0016] Compared with the prior art, the beneficial effects of this application are:

[0017] During the dummy collision test, this application performs frequency domain conversion on the data collected by the sensor and corrects the amplitude, thereby improving the accuracy of the virtual simulation benchmark curve. Compared with the simple video analysis method, this application can reduce the test cost and time cost, thereby improving the design and efficiency of the entire system. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the specific implementation methods of the present application or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0019] Figure 1 is a flow chart of a method for correcting a collision dummy's head motion trajectory provided in an embodiment of the present application;

[0020] Figure 2 is a schematic diagram of a head local coordinate system provided in an embodiment of the present application;

[0021] Figure 3 It is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0022] The following is a description of exemplary embodiments of the present application in conjunction with the accompanying drawings, including various details of the embodiments of the present application to facilitate understanding, which should be considered as merely exemplary. Therefore, it should be recognized by those of ordinary skill in the art that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of the present application. Similarly, for the sake of clarity and conciseness, the description of well-known functions and structures is omitted in the following description.

[0023] The present application embodiment provides a method for correcting the motion trajectory of a crash dummy's head, which is applicable to the case where the motion trajectory or parameters of a crash dummy's head collected by a sensor are corrected during a crash dummy test. The method provided in this embodiment is executed by an electronic device, which is executed by software and / or hardware. Figure 1 , the method provided in this embodiment includes the following operations:

[0024] S110. During the dummy collision test, an acceleration sensor disposed on the dummy's head is used to collect an acceleration time series of the dummy's head in a local head coordinate system; and an angle sensor disposed on the dummy's head is used to collect a deflection angle time series of the dummy's head in a local head coordinate system.

[0025] In a collision scenario, the dummy sits on the seat of the BIW in a human-like sitting position, and the BIW on the slide is driven to collide with an obstacle (no collision object is placed on the horizontal rail of the slide, and the whole vehicle test waveform is applied to the BIW through the slide launcher). A camera is installed in the BIW to collect the motion video of the dummy's head in real time. An acceleration sensor is installed at the center of mass of the dummy's head to collect the acceleration time series of the dummy's head in the local coordinate system of the head in real time. Among them, see Figure 2 , the origin of the local coordinate system of the head is at the center of mass of the head, the x-axis is parallel to the longitudinal direction of the body-in-white, the y-axis is parallel to the lateral direction of the body-in-white, and the z-axis is perpendicular to the horizontal plane. The three-axis acceleration of the dummy head at time t1 is ( ), the three-axis acceleration of the dummy's head at time t2 is ( ).

[0026] An angle sensor is installed at the center of mass of the dummy's head to collect the deflection angle time series of the dummy's head in the local coordinate system of the head in real time, that is, the deflection angle around the x-axis, y-axis, and z-axis at each moment.

[0027] S120, performing frequency domain conversion on the acceleration time series to obtain frequency domain data of acceleration.

[0028] S130 , performing frequency domain conversion on the deflection angle time series to obtain frequency domain data of the deflection angle.

[0029] The acceleration time series and the deflection angle time series are converted to the frequency domain respectively by using the time domain to frequency domain conversion method. The frequency domain data includes multiple frequencies and the amplitude of each frequency.

[0030] S140. Correct the multiple amplitudes of the acceleration according to a first correction coefficient set.

[0031] S150. Correct the multiple amplitudes of the deflection angle according to the second correction coefficient set.

[0032] This embodiment mainly corrects the amplitude in the frequency domain to achieve the purpose of correcting the acceleration and the deflection angle. For the convenience of description and distinction, the coefficients used to correct the acceleration amplitude are called the first correction coefficient set; the coefficients used to correct the deflection angle are called the second correction coefficient set.

[0033] Among them, the first correction coefficient set includes coefficients consistent with the number of acceleration frequencies, that is, the multiple coefficients correspond one-to-one to the amplitudes of each acceleration frequency; correspondingly, the second correction coefficient set includes coefficients consistent with the number of deflection angle frequencies, that is, the multiple coefficients correspond one-to-one to the amplitudes of each deflection angle frequency.

[0034] The amplitude of each frequency is calculated with the corresponding coefficient (such as addition or multiplication) to obtain the corrected amplitude. At this point, the accurate acceleration and deflection angle are obtained in the frequency domain. Further, the corrected acceleration and deflection angle are converted to the time domain to obtain the motion trajectory of the dummy head in the time domain.

[0035] During the dummy collision test, this application performs frequency domain conversion on the data collected by the sensor and corrects the amplitude, thereby improving the accuracy of the virtual simulation benchmark curve. Compared with the simple video analysis method, this application can reduce the test cost and time cost, thereby improving the design and efficiency of the entire system.

[0036] This embodiment assumes that the head displacement curve obtained after video modeling is accurate. Considering that the error sources of the head angle sensor and acceleration sensor are not clear, this application requires a certain amount of data basis to ensure the rationality of the correction method generated by the method through statistical errors, that is, to construct a first correction coefficient set and a second correction coefficient set. It is obtained based on the amplitude difference between video and sensor data in the frequency domain during historical dummy collision tests. The process of obtaining the first correction coefficient and the second correction coefficient is described in detail below, including the following 5 steps.

[0037] Step 1: During the historical dummy collision test, the motion video of the dummy's head is collected; and the historical acceleration time series of the dummy's head in the local coordinate system of the head is collected by an acceleration sensor configured on the dummy's head; and the historical deflection angle time series of the dummy's head in the local coordinate system of the head is collected by an angle sensor configured on the dummy's head.

[0038] In the historical dummy collision test, the dummy sits on the seat of the body-in-white in the same way as a human sitting, driving the body-in-white on the slide to collide with an obstacle. A camera is installed in the body-in-white to collect the motion video of the dummy's head in real time. An acceleration sensor is installed at the center of mass of the dummy's head to collect the historical acceleration time series of the dummy's head in the local coordinate system of the head in real time. An angle sensor is installed at the center of mass of the dummy's head to collect the historical deflection angle time series of the dummy's head in the local coordinate system of the head in real time. The motion video, angle sensor and acceleration sensor record time domain data simultaneously.

[0039] Step 2: Analyze the motion video to obtain the reference acceleration time series and reference deflection angle time series of the dummy head in the local coordinate system of the head.

[0040] This step aims to calculate the YZ acceleration time series of the head in the head local coordinate system based on the head displacement in the body-in-white coordinate system and the head deflection angle in the head local coordinate system collected by the video software, which is called the reference acceleration time series. The head deflection angle in the head local coordinate system obtained by video analysis is called the reference deflection angle time series.

[0041] Specifically, firstly, the displacement time series of the dummy head in the ground coordinate system and the reference deflection angle time series of the dummy head in the local head coordinate system are determined through the motion trajectory of the dummy head in the motion video.

[0042] The TEMA-4D software uses the following method to determine the motion trajectory of the dummy head: The dummy head is an object with small deformation. The motion trajectory of more than 4 known coordinate points on the head can be used to infer a point that cannot be captured in the video, such as the motion trajectory of the head center of mass. The four bounding box points are known coordinate points, and the center point is the head center of mass that cannot be captured by the camera. The origin of the body-in-white coordinate system is defined as the center of mass of the body-in-white, the X-axis is the horizontal longitudinal direction of the body-in-white, the Y-axis is the horizontal lateral direction of the body-in-white, and the X-axis is the direction perpendicular to the ground. The displacement time series of the dummy head in the body-in-white coordinate system is determined by the motion trajectory of the dummy head in the motion video. Specifically, the displacement time series of the dummy head in the body-in-white coordinate system along the Y-axis is collected. and the displacement time series along the Z axis The reference deflection angle time series of the dummy head around the three axes of the local head coordinate system is obtained by TEMA-4D software analysis. Next, the displacement time series of the dummy head in the ground coordinate system is obtained based on the displacement time series of the BIW coordinate system and the BIW. Specifically, the origin of the ground coordinate system is defined as a fixed point in space, the X1 axis and the Y1 axis are perpendicular to each other and parallel to the horizontal plane, and the Z1 axis is perpendicular to the horizontal plane. The displacement time series of the BIW on the slide along the Y1 axis of the ground coordinate system is collected. , and then calculate the displacement time series of the dummy head along the Y1 axis of the ground coordinate system according to the following formula: , and the displacement time series along the Z1 axis of the ground coordinate system Note: In the side collision condition, the acceleration amplitude of the body in the X-axis is smaller than that in the YZ direction. Therefore, the acceleration in the X-axis direction is ignored and only the acceleration in the YZ direction is calculated. The difference in the acceleration in the X-axis is also not considered in the subsequent correction calculation.

[0043] ; (1)

[0044] ; (2)

[0045] Then, the displacement time series in the ground coordinate system is differentiated twice with respect to time to obtain the acceleration time series of the dummy head in the ground coordinate system, specifically the acceleration time series of the dummy head along the Y1 axis of the ground coordinate system: , and the acceleration time series of the dummy head along the Z1 axis of the ground coordinate system .

[0046] Next, a reference acceleration time series of the dummy head in the local head coordinate system is obtained according to the acceleration time series of the dummy head in the ground coordinate system and the reference deflection angle time series.

[0047] Referring to the description in "Dummy Head Offset Calculation Method and Integrated Measurement System", the following acceleration correction formula is available based on the Euler equation of motion:

[0048] ; (3)

[0049] in, It is the time series of reference deflection angles of the dummy head in the local head coordinate system obtained by TEMA-4D software analysis. is the reference acceleration time series of the dummy head in the local head coordinate system (ignoring the acceleration in the x direction), which is the quantity to be determined. This is the acceleration of the dummy's head in the ground coordinate system obtained based on the TEMA-4D software analysis. The acceleration along the X1 axis is also omitted.

[0050] Similarly, in the frontal collision condition, the Y-axis acceleration amplitude is much smaller than that in the XZ directions. Here, we only use the side collision condition as an example. By rearranging the above formula, we can obtain the acceleration of the dummy head along the y-axis and z-axis of the local coordinate system of the head calculated based on the dummy head movement video:

[0051] ; (4)

[0052] Optionally, re-extract sample points from the historical acceleration time series, historical deflection angle time series, reference acceleration time series, and reference deflection angle time series, and use Hypergraph software to adjust the number of sample points of these curves to 10,000 Hz. This ensures the integrity and alignment of the time series, and facilitates the subsequent calculation of frequency and amplitude using a simplified algorithm.

[0053] Step 3: Perform frequency domain conversion on the historical acceleration time series, historical deflection angle time series, reference acceleration time series and reference deflection angle time series respectively to obtain the corresponding frequency domain data.

[0054] This step uses the same time-frequency domain conversion method to convert the historical acceleration time series, the historical deflection angle time series, the reference acceleration time series, and the reference deflection angle time series into frequency domains. The following only uses the historical acceleration time series as an example to illustrate the method of frequency domain conversion, and other time series are not described in detail.

[0055] First, the historical acceleration time series (curve form) is discretized and integrated using the trapezoidal formula to obtain the integral expression. Specifically, the application will be from 0 to l ( ) is converted from a time domain continuous curve to a complex frequency domain conversion formula in the frequency domain:

[0056] ; (5)

[0057] Among them, k is the frequency number, is the amplitude of the kth frequency, The expression is in complex form, where t is the complex exponential form of x, x =it. is the historical acceleration, l is the range of the time domain curve, is the frequency domain expression.

[0058] Discretize the historical acceleration time series into n equal parts to obtain a discrete curve. Assume that the number of sample points of the discrete curve is n, j = 1,2,...,n, where n is an even number. The integral result of the curve is obtained by calculating the area of ​​the trapezoid:

[0059] ; (6)

[0060] in, Time for each equal portion.

[0061] During the dummy collision test, the body-in-white and the dummy it carries start from a stationary state and return to a stationary state within 200 milliseconds after the collision occurs. Therefore, it can be considered that the various components of the dummy are at rest at the initial and final moments of the test. Accordingly, the acceleration of the dummy's head can be considered to be zero at these two moments. In addition, in order to ensure that the dummy can be reused, the material selection of structural parts such as the head, neck, and torso of the existing ATD (Anthropomorphic Test Devices) dummies is designed to make the dummy mainly undergo elastic deformation during the test. Based on this, the plastic deformation that may occur in the dummy after the collision test can be ignored, and the rotation of the dummy's head will also return to the initial state. This means that in the local coordinate system of the dummy's head, the three deflection angles will return to zero after the test. Therefore, in When , the integral expression based on the trapezoid area can be simplified to:

[0062] ; (7)

[0063] in, , is the time of the jth discrete curve.

[0064] Next, the integral expression is substituted into the complex frequency domain conversion formula to calculate and obtain the frequency domain data of the historical acceleration time series.

[0065] Specifically, Bring it into the aforementioned In, we get:

[0066] ; (8)

[0067] Preferably, because The period of is not n, so when When , the trapezoidal formula cannot guarantee the integral accuracy, so it is necessary to assume that k is at most n. In order to ensure the frequency domain conversion accuracy, the present embodiment sets the number of values ​​of k to be the same as the number of values ​​of n.

[0068] Convert the amplitude in the complex frequency domain formula Rewritten as a matrix expression:

[0069] ; (9)

[0070] in, Amplitude In matrix form, is the intermediate matrix used for operation, is the acceleration value of the kth discrete time.

[0071] Expanding formula (9) yields:

[0072] ; (10)

[0073] Considering that the number of samples n of the discrete curve is large, the amount of calculation for frequency domain conversion using formula (10) is n 2 The amount of calculation is relatively large. In order to reduce the amount of calculation, the matrix expression is split according to parity until the split part cannot be divided by 2. Specifically, formula (10) is split into the following two parts according to parity:

[0074] ; (11)

[0075] in, . Rearranging formula (9), we get the following formula:

[0076] ; (12)

[0077] The simplified calculation method can reduce the number of calculations from n to 2 The next reduction is times. Considering that the number of sample points n can be divided by 2 m divisible, m is a natural number. The above splitting formula (12) can be rearranged and split to obtain:

[0078] ; (13)

[0079] in, .

[0080] Similarly, we can also split the even-numbered parts ( ) and then rearrange it into an odd and even part. This process is repeated until each part is no longer divisible by 2. Calculate each split part to obtain the amplitude F[k] corresponding to the kth frequency.

[0081] Step 4: Compare the amplitude of the historical acceleration with the reference acceleration at the same frequency to obtain a first correction coefficient set.

[0082] In order to avoid the error caused by a single test, the historical dummy collision test is performed multiple times. The amplitude difference between the historical acceleration and the reference acceleration at the same frequency obtained in each historical dummy collision test is fused to obtain the first correction coefficient set. The fusion method can be to make a difference or calculate a proportional relationship. For example, the difference at the same frequency obtained from multiple historical dummy collision tests is averaged to obtain the first correction coefficient set.

[0083] Step 5: Compare the amplitudes of the historical deflection angle and the reference deflection angle at the same frequency to obtain a second set of correction coefficients.

[0084] Similar to step 4, the amplitude difference between the historical deflection angle and the reference deflection angle at the same frequency obtained from each historical dummy collision test is merged to obtain the second correction coefficient set. For example, the difference at the same frequency obtained from multiple historical dummy collision tests is averaged to obtain the second correction coefficient set. See the following formula:

[0085] ; (14)

[0086] in, is the amplitude set of the historical deflection angle around the x-axis at n frequencies, is the amplitude of the reference deflection angle around the x-axis at n frequencies ~ A collection of . It is the amplitude difference between the historical deflection angle around the x-axis and the reference deflection angle at n frequencies.

[0087] Collect the amplitude differences of the same axis, the same data type (deflection angle / acceleration), and the same frequency in multiple historical dummy collision tests, take the average of the differences, and obtain the correction coefficient set of the dummy sensor amplitude , stored in the database for subsequent correction.

[0088] On the basis of the above embodiments, the multiple amplitudes of the acceleration are corrected according to the first correction coefficient set, or the multiple amplitudes of the deflection angle are corrected according to the second correction coefficient set, including:

[0089] The amplitude of each frequency of the acceleration along each axis collected by the acceleration sensor is added with the corresponding coefficient in the first correction coefficient set to obtain the corrected acceleration; the amplitude of each frequency of the deflection angle around each axis collected by the angle sensor is added with the corresponding coefficient in the second correction coefficient set to obtain the corrected deflection angle, see the following formula:

[0090] ; (15)

[0091] in, is the amplitude of the angle around the x-axis in the frequency domain collected by the angle sensor; is the correction factor; is the corrected amplitude. According to the corrected amplitude and the corresponding frequency, expand the curve E.

[0092] ; (16)

[0093] The method for correcting the dummy head sensor curve proposed in the present invention can reduce the test cost and time cost while obtaining a more accurate head deflection angular velocity curve, thereby improving the accuracy of the comparison between the test results and the simulation results. This will help development and design engineers to modify the simulation model more accurately, thereby improving the design and efficiency of the entire system. For example, for a car collision test, a more accurate head deflection angle curve can be obtained by correcting the dummy head angle sensor curve, thereby more accurately evaluating the head injury of the occupant during a car collision.

[0094] The present application also provides an electronic device, see Figure 3 , includes at least one processor 301 and a memory 302 that is communicatively connected to the at least one processor 301.

[0095] The memory 302 stores instructions that can be executed by at least one of the processors 301. The instructions are executed by at least one of the processors 301 so that at least one of the processors 301 can execute the above-mentioned method for correcting the motion trajectory of the collision dummy's head, thereby having at least the same advantages as the above-mentioned method.

[0096] Optionally, the electronic device also includes interfaces for connecting various components, including high-speed interfaces and low-speed interfaces. The various components are connected to each other using different buses and can be installed on a common mainboard or installed in other ways as needed. The processor can process instructions executed in the controller, including instructions stored in or on a memory to display graphical information of a GUI (Graphical User Interface) on an external input / output device (such as a display device coupled to an interface). In other embodiments, if necessary, multiple processors can be used together with multiple memories, and / or multiple buses can be used together with multiple memories. Similarly, multiple electronic devices can be connected (for example, as a server array, a group of blade servers, or a multi-processor system), and each device provides some necessary operations.

[0097] The memory 302 is a computer-readable storage medium that can be used to store software programs, computer executable programs and modules, such as program instructions / modules corresponding to the method for correcting the motion trajectory of the head of a collision dummy in the embodiment of the present application. The processor 301 executes various functional applications and data processing of the device by running the software programs, instructions and modules stored in the memory 302, that is, realizing the above-mentioned method for correcting the motion trajectory of the head of a collision dummy.

[0098] The memory 302 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system and at least one application required for a function; the data storage area may store data created according to the use of the terminal, etc. In addition, the memory 302 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other non-volatile solid-state storage device. In some instances, the memory 302 may further include a memory remotely arranged relative to the processor, and these remote memories may be connected to the device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0099] The electronic device may further include: an input device 303 and an output device 304. The processor 301, the memory 302, the input device 303 and the output device 304 may be connected via a bus or other means.

[0100] The input device 303 can receive input digital or character information, and the output device 304 can include a display device, an auxiliary lighting device (e.g., LED), and a tactile feedback device (e.g., a vibration motor), etc. The display device can include, but is not limited to, a liquid crystal display (LCD), a light emitting diode (LED) display, and a plasma display. In some embodiments, the display device can be a touch screen.

[0101] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps recorded in this application can be executed in parallel, sequentially or in different orders, as long as the expected results of the technical solution disclosed in this application can be achieved, and this document is not limited here.

[0102] The above specific implementations do not constitute a limitation on the protection scope of this application. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of this application should be included in the protection scope of this application.

Claims

1. A method for correcting the motion trajectory of a collision dummy head, characterized in that: include: During the dummy collision test, the acceleration time series of the dummy head in the local head coordinate system is collected by the acceleration sensor configured on the dummy head; the deflection angle time series of the dummy head in the local head coordinate system is collected by the angle sensor configured on the dummy head; Convert the acceleration time series into frequency domain to obtain frequency domain data of acceleration; Performing frequency domain conversion on the deflection angle time series to obtain frequency domain data of the deflection angle; the frequency domain data includes multiple frequencies and the amplitude of each frequency; Correcting the multiple amplitudes of the acceleration according to a first correction coefficient set; Correcting the multiple amplitudes of the deflection angle according to a second correction coefficient set; Before correcting the multiple amplitudes of the acceleration according to the first correction coefficient set, the method further includes: During the historical dummy collision test, a motion video of the dummy's head is collected; and a historical acceleration time series of the dummy's head in a local coordinate system of the head is collected by an acceleration sensor configured on the dummy's head; and a historical deflection angle time series of the dummy's head in a local coordinate system of the head is collected by an angle sensor configured on the dummy's head; Analyzing the motion video to obtain a reference acceleration time series and a reference deflection angle time series of the dummy head in a local head coordinate system; The historical acceleration time series, the historical deflection angle time series, the reference acceleration time series and the reference deflection angle time series are respectively converted into frequency domains to obtain corresponding frequency domain data; Comparing the amplitude of the historical acceleration with the amplitude of the reference acceleration at the same frequency to obtain a first correction coefficient set; The amplitudes of the historical deflection angle and the reference deflection angle at the same frequency are compared to obtain a second correction coefficient set.

2. The method according to claim 1, characterized in that The motion video is analyzed to obtain a reference acceleration time series of the dummy head in the local head coordinate system, including: Determine the displacement time series of the dummy head in the ground coordinate system and the reference deflection angle time series of the dummy head in the head local coordinate system through the motion trajectory of the dummy head in the motion video; Differentiating the displacement time series with respect to time twice continuously to obtain an acceleration time series of the dummy head in a ground coordinate system; A reference acceleration time series of the dummy head in the local head coordinate system is obtained according to the acceleration time series of the dummy head in the ground coordinate system and the reference deflection angle time series.

3. The method according to claim 2, characterized in that Determining the displacement time series of the dummy's head in the ground coordinate system according to the motion trajectory of the dummy's head in the motion video includes: Determine the displacement time series of the dummy's head in the body-in-white coordinate system according to the motion trajectory of the dummy's head in the motion video; The displacement time series of the dummy head in the ground coordinate system is obtained according to the displacement time series of the dummy head in the body-in-white coordinate system and the displacement time series of the body-in-white.

4. The method according to claim 1, characterized in that: The historical acceleration time series is converted into frequency domain to obtain corresponding frequency domain data, including: Discretize the historical acceleration time series, and integrate it using a trapezoidal formula to obtain an integral expression; The integral expression is introduced into the complex frequency domain conversion formula to calculate the frequency domain data of the historical acceleration time series.

5. The method according to claim 4, characterized in that The frequency domain data of the historical acceleration time series is calculated, including: Rewrite the amplitude in the complex frequency domain conversion formula into a matrix expression; Splitting the matrix expression according to odd and even numbers until the split parts cannot be divided by 2; Calculate each split part to get the amplitude corresponding to each frequency.

6. The method according to any one of claims 1 to 5, characterized in that: The historical dummy crash tests were multiple times; The amplitude of the historical acceleration is compared with the amplitude of the reference acceleration at the same frequency to obtain a first correction coefficient set, including: The amplitude difference between the historical acceleration and the reference acceleration at the same frequency obtained from each historical dummy collision test is merged to obtain a first correction coefficient set; The amplitude of the historical deflection angle is compared with the amplitude of the reference deflection angle at the same frequency to obtain a second correction coefficient set, including: The amplitude difference between the historical deflection angle and the reference deflection angle at the same frequency obtained from each historical dummy collision test is merged to obtain a second correction coefficient set.

7. The method according to claim 6, characterized in that The amplitude difference between the historical acceleration and the reference acceleration at the same frequency obtained from each historical dummy collision test is merged to obtain a first correction coefficient set, including: The amplitudes of the historical acceleration and the reference acceleration at the same frequency obtained in each historical dummy collision test are subtracted, and the differences at the same frequency obtained in multiple historical dummy collision tests are averaged to obtain a first correction coefficient set.

8. An electronic device, characterized in that: include: at least one processor, and a memory communicatively coupled to at least one of the processors; The memory stores instructions executable by at least one of the processors, and the instructions are executed by at least one of the processors so that the at least one processor can execute the method for correcting the motion trajectory of the collision dummy's head according to any one of claims 1 to 7.

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