50 results about "Test target" patented technology

The invention provides a zero offset detection device and method for an optical aiming device. The device comprises a laser cross emitter, an attenuation piece, a test target plate, a camera and a PC terminal. The attenuation sheet is arranged at the light path output end of the laser cross-shaped emitter and is located between the laser cross-shaped emitter and the test target plate; the test target plate is arranged in the laser emitting direction of the attenuation sheet, and a preset distance is formed between the test target plate and the laser cross emitter; the optical axis of the camera is aligned with the test target plate, and the camera is used for collecting a laser image on the test target plate and sending the laser image to the PC terminal; and the PC terminal controls the camera to move to coincide with the cross center of the target plate in a cross division manner, records the movement amount and calculates the zero offset. According to the invention, the problems of complex zero offset detection process, low safety and insufficient precision can be solved.

The invention relates to the field of automobile electronic testing technology and equipment, and discloses a vehicle-mounted camera imaging quality testing method and device suitable for a rain and fog scene, and the method comprises the steps: installing a to-be-tested camera module in a rain and fog environment cabin, setting the spectrum and illumination of a top natural illumination simulation system, and simulating the illumination at different time periods; selecting a test target plate in the darkroom; starting an automatic centering module to align the optical axis with the standard plate reference; rain and fog parameters are set through the environment control host, the rain and fog supply system is started to simulate different levels of rain and fog environments, and the raindrop particle size, concentration, dripping speed, fog visibility and fogdrop particle size are dynamically regulated and controlled; shooting a target plate graph card, extracting characteristic parameters by an image analysis module, performing quantitative analysis, and generating an evaluation report, so as to solve the technical problem of singleness of rain and fog scene environment simulation in the prior art.

In certain embodiments, an ophthalmic system includes a light system, an imaging system, and a computer. The light system directs light towards a test target according to an expected parameter set to yield an actual spot on the test target. Each expected brightness parameter of the set describes an expected brightness of the actual spot. The imaging system generates a digital image of the actual spot. The computer determines pixel values of the pixels of the digital image and determines an actual brightness parameter set according to the pixel values. Each actual brightness parameter of the set describes an actual brightness of the actual spot and corresponds to an expected brightness parameter. The computer compares the actual brightness parameters to the corresponding expected brightness parameters and detects a deviation. The computer identifies an issue of the light system indicated by the deviation and provides an output associated with the issue.

The invention discloses an improved near-far field data transformation method and device based on a transfer matrix, and belongs to the field of RCS testing and data processing. The method comprises the following steps: according to the maximum size of a to-be-measured target on a rotation plane and the distance from the center of a measurement antenna to the scattering center of the target, calculating to obtain a synthetic aperture angle required by transformation calculation; performing one-dimensional gridding division processing on the area where the target to be tested is located along the transverse direction, and respectively establishing a near-field test observation matrix and a far-field test observation matrix of the target to be tested in the grid area obtained by division; according to the near-field test observation matrix and the far-field test observation matrix, calculating to obtain a transfer matrix for converting near-field scattering characteristic data into far-field scattering characteristic data; and updating the transfer matrix according to a preset test frequency and a conversion processing center angle, and calculating to obtain all far field scattering characteristic data of the to-be-tested target. The method can effectively reduce the scale of the observation matrix and improve the calculation efficiency.

The present application relates to the field of optical interferometry, and aims at the phase distortion problem in off-axis interferometric quantitative phase imaging, and provides an interferometric microscopic phase distortion elimination method based on PACUNeXt3+ network. The method comprises the following steps: 1. using Zernike polynomials and test target pictures to simulate and generate a data set; 2. establishing and training a PACUNeXt3+ neural network model; 3. inputting the interference graph I or of the sample to be measured into the trained neural network, and outputting the background interference graph I' r corresponding to the sample without sample information; 4. using the two interference graphs I or and I' r to reconstruct the sample phase distribution φ o (x, y) without phase distortion. The present application has high precision and speed, can eliminate the secondary or high-order phase distortion in interferometric quantitative phase imaging, and has great application prospect in the field of phase imaging.

The application discloses an automatic driving continuous testing method based on an adversarial attack, takes end-to-end automatic driving software as a testing object, takes a picture as an input, outputs a deflection angle for controlling a virtual car, sets a billboard area in the input picture as a testing area, sets an expected driving track as a testing target, positions a current position of the testing object, calculates an expected deflection angle of the testing object based on the testing target, positions the testing area in the input, adds Gaussian disturbance noise to simulate the influence of environmental factors, calculates a gradient about the input picture, updates the input of the testing object based on a sub-gradient iteration, extracts and uses affine transformation and interpolation transformation to convert the testing area image into a billboard size, inputs the testing area image into a virtual camera, and finally outputs the testing area image to the billboard in a testing scene, and completes the continuous testing based on feedback information and control information. The application improves the robustness and safety of automatic driving software based on machine learning and deep learning.

This invention relates to the field of RCS testing technology, specifically to an image-domain-based near-field anomalous scattering filtering method. The method first obtains a raw near-field image by near-field imaging of the acquired near-field swept data. Second, based on set anomalous scattering judgment conditions, the anomalous scattering centers are identified and extracted. Then, using a point target as a reference object, the scattering field distribution in the determined filtering area is simulated and reconstructed to generate a new near-field image. Finally, it is determined whether the new near-field image meets the anomalous scattering judgment conditions. If not, a filtered near-field image is generated. By identifying and removing scattering centers that do not belong to the test target from the two-dimensional image generated by the near-field imaging, near-field clutter suppression and higher-precision radar cross section testing are achieved.

The present invention discloses an on-line detection system for the production of optical elements. The present invention relates to the technical field of optical element production and manufacturing. In the present invention, a laser level is used to irradiate a test target plate to form a light spot, and a thermal imager is used to capture images of the light spot at 4 different time points and 8 different angles of the light spot at the first time point to obtain thermal imaging pictures. The temperature interval area change calculation is performed on the thermal imaging pictures of adjacent time points obtained, and the temperature stability of the laser level is judged according to the total temperature interval area change rate S total. If the temperature stability of the laser level meets the standard, the color and area consistency of the thermal imaging images at 8 angles collected at time point t are judged. If both the temperature stability and energy uniformity of the laser level meet the standards, it can be determined that the laser level passes the detection; otherwise, it is determined that the detection fails. The present invention can effectively detect unqualified products, ensuring the quality of the products and the actual experience of users.

The application discloses a high-precision detection device and method for scanning lens distortion and telecentricity, which comprises a light source assembly, a scanning device, a lens to be detected, a test target, a displacement platform, a photomultiplier, a signal acquisition module and a data processing module. The light source assembly is used to provide scanning light. The scanning device has a movable mirror, which is used to transmit the scanning light to the lens to be detected. The scanning device realizes the scanning action of the scanning light by driving the mirror to rotate around the central axis. The test target is used to receive the converging light spot, and the displacement platform is used to carry the test target. The photomultiplier is used to receive the converging light spot transmitted through the test target and convert the light signal into a pulse signal. The signal acquisition module is used to collect the pulse signal and transmit it to the data processing module. The data processing module is used to calculate the distortion and telecentricity of the lens to be detected according to the received pulse signal. The application can conveniently detect the distortion and telecentricity of the lens.

The invention relates to the technical field of backward projection imaging, and provides a CZT-based backward projection three-dimensional imaging method and system, which replace a traditional FFT transformation method based on CZT, and optimize a frequency domain processing process in a backward projection algorithm on the premise that a known test target distance is concentrated in a certain range. And calculating a propagation distance from each scattering point to an equivalent channel formed by the transmitting and receiving antennas, mapping the propagation distance into a CZT frequency point index position, and rounding the CZT frequency point index position, thereby positioning the position of the signal in the frequency domain data. For phase errors caused by frequency point rounding, compensation factors are further constructed, accurate phase correction is carried out on CZT frequency domain signals, and the imaging quality reflected by each pixel point in a three-dimensional imaging image is improved. On the basis of a traditional backward projection imaging method, linear frequency modulation Z transformation is introduced to improve the imaging resolution, compensation is carried out according to a phase error caused by ID rounding, and the imaging resolution is improved.

The invention relates to the technical field of photoelectric product detection, and discloses photoelectric product detection metering equipment which comprises a box body, a partition plate and a laser radar test piece, the partition plate and the laser radar test piece are installed in the box body, a supporting plate and a bottom plate are arranged at the upper end of the partition plate, and a plurality of test targets are fixedly connected to the position, located on the front side of the laser radar test piece, in the box body. The vibration platform is installed between the bottom plate and the supporting plate, magnetic repulsive force in different directions is generated through a plurality of arranged first electromagnets, vibration can be generated in multiple directions, and then the multi-direction vibration working condition is simulated. The photoelectric product detection and metering equipment can provide alternative and variable magnetic forces in four directions, generate vibration in multiple directions to simulate multi-directional vibration working conditions, simulate inherent mechanical vibration at different rotating speeds in cooperation with a vibrator, and can provide a complex external environment of water drops and mist in multiple directions. And a complex and changeable test environment is provided.

The invention discloses a method and a device for determining electromagnetic scattering data of a test target, and belongs to the field of target electromagnetic scattering characteristic test. The method comprises the following steps: constructing a semi-empirical model of a test target; inputting a known first scattering geometric parameter of the test target and electromagnetic scattering characteristic data corresponding to the first scattering geometric parameter into the semi-empirical model to obtain a model parameter of the semi-empirical model; inputting a known second scattering geometric parameter of the test target into the semi-empirical model with the determined model parameter to obtain electromagnetic scattering characteristic data corresponding to the second scattering geometric parameter; wherein the bistatic angle corresponding to the second scattering geometric parameter is larger than the bistatic angle corresponding to the first scattering geometric parameter. According to the invention, the accuracy and reliability of large bistatic angle testing of rough grounds (such as land and cement ground) can be improved.

A process for detecting acoustic leaks in a non-invasive sensor based on indirect photoacoustic detection, comprising: a) measuring with a detection cell a plurality of amplitudes and / or phases of pressure waves generated in the detection cell in response to a plurality of irradiations of a test target with at least one light source, the intensity of the emitted light being modulated at a modulation frequency that is different for each of the plurality of irradiations; b) Determining with a processor at least one acoustic response of the detection cell as a function of a frequency of a pressure wave, based on the plurality of amplitudes and / or phases of pressure waves measured at a) and the respective modulation frequencies. c) Comparing with a processor at least one determined acoustic response of the detection cell to at least one reference acoustic response; d) Based on the result of the comparison, providing with a processor a detection result characterizing acoustic leaks in the detection cell.

The invention discloses a calibration device for a laser range finder, and relates to the technical field of laser range finders, and the calibration device is technically characterized in that the calibration device comprises a base which is provided with an automatic positioning and position adjusting mechanism; the automatic positioning mechanism comprises a positioning frame fixed to the base, and a clamping assembly is arranged on the positioning frame and used for clamping and positioning the laser range finder. The automatic positioning mechanism comprises a first translation assembly fixed with the substrate, a movable part is connected with a vertical support frame, and a test target is fixed at the top of the support frame; a control device of the first translation assembly is connected with a display unit on one side of the positioning frame through a control unit. A photoelectric switch is arranged in the center of one side of the test target facing the positioning mechanism; the laser range finder is started to emit laser to the photoelectric switch, the control unit calculates an actual test distance according to the translation distance of the first translation assembly, and the actual test distance is displayed by the display unit; the automation degree can be improved, and the convenience is improved.

The invention discloses an outdoor field millimeter wave radiation brightness temperature full-space automatic test method and system, and the method comprises the steps: deploying test equipment at an arc-shaped track of a semicircular iron tower, placing a tested target at the center of a circle of the iron tower, and generating a full-space test angle grid based on the three-dimensional size of the target and the radius parameter of the iron tower; controlling the measured target to rotate around a central shaft, and generating a space-time correlated radiation signal sequence; performing polarization separation and frequency band calibration on the radiation signal sequence to obtain a calibrated space radiation data set; a six-degree-of-freedom platform is used for carrying out posture fine adjustment on the test equipment, and a target full-space radiation brightness temperature distribution data set is formed; and performing multi-dimensional verification on the total-space radiation brightness temperature distribution data set to generate a target total-space millimeter wave radiation characteristic spectrum. According to the embodiment of the invention, full-space high-resolution and high-precision millimeter wave radiation brightness temperature test can be realized, and the integrity and reliability of radiation characteristic data are improved.

The invention discloses a testing device and a testing method of the testing device, and belongs to the technical field of light beam quality testing. The testing device is used for testing a target light beam quality analyzer, the testing device comprises a mounting platform, a laser, a light splitting element and a reference light beam quality analyzer, and the laser is rotatably arranged on the mounting platform; the light splitting element is used for splitting output light of the laser into a first test light beam and a second test light beam, so that the target light beam quality analyzer receives the first test light beam and forms a first test light spot; the reference light beam quality analyzer is used for receiving the second test light beam and forming a second test light spot; wherein the rotation axis of the laser is parallel to the output light, and the test light spot and the reference light spot are both elliptical. Time and labor are saved, the testing efficiency and the testing flexibility can be improved, the testing cost is reduced as much as possible, and the testing process is simplified.

A LiDAR test method according to the present invention comprises the steps of: providing a transmitter and a receiver; forming a transceiver by combining the transmitter and the receiver; performing an overlap test on the transceiver; and performing calibration on the transceiver. The step of forming the transceiver includes the steps of: fixing one of the transmitter or the receiver and then acquiring scan images of a test target while changing at least one of the position or orientation of the other; selecting optimal positions of the transmitter and the receiver on the basis of a plurality of the acquired scan images; fixing the transmitter and the receiver at the optimal positions and injecting a curable material; and curing the curable material using heat or light.

In certain embodiments, an ophthalmic system includes a light system, an imaging system, and a computer. The light system directs light towards a test target according to an expected parameter set to yield an actual spot on the test target. Each expected brightness parameter of the set describes an expected brightness of the actual spot. The imaging system generates a digital image of the actual spot. The computer determines pixel values of the pixels of the digital image and determines an actual brightness parameter set according to the pixel values. Each actual brightness parameter of the set describes an actual brightness of the actual spot and corresponds to an expected brightness parameter. The computer compares the actual brightness parameters to the corresponding expected brightness parameters and detects a deviation. The computer identifies an issue of the light system indicated by the deviation and provides an output associated with the issue.

The application provides a text interaction traffic robustness automatic testing method and device, the method comprises the following steps: based on the test target, different scenes are configured, different scene configurations are combined to obtain test cases covering different scenes, multiple parameters of the test cases are configured, the test cases are grouped and prioritized based on the test requirements, the configuration parameters required for testing are processed to obtain configuration parameters that meet the parameter receiving requirements of the large model firewall system, the configuration parameters are sent to the large model firewall system, the large model firewall system is preconfigured based on the configuration parameters, simulated test traffic is sent to the large model firewall system based on the test case parameters for traffic detection, the traffic detection results returned by the large model firewall system are received, the target test data of the whole test process is collected and processed, the core evaluation indexes are calculated based on the processed target test data, and the visual test report is generated based on the core evaluation indexes.

The invention discloses a lightweight target detection method for a UAV aerial photography scene, and the method comprises the steps: selecting a data set, dividing the data set into a training set, a verification set and a test set, and carrying out the preprocessing; constructing a target detection network model OGCF-YOLO: taking YOLOv8n as a baseline model, eliminating redundant P5 down-sampling branches and detection heads thereof, and introducing a high-resolution P2 detection head; inserting a space-channel collaborative attention module at the tail end of the backbone network and in front of the SPPF layer; an orthogonal gating feature fusion mechanism is provided, and a C2f module of the Neck network is replaced by an OGCF-C2f module; a dynamic up-sampling module based on point sampling is used for replacing traditional interpolation up-sampling; and inputting the shot image into the tested target detection network model OGCF-YOLO to obtain a detection result. By reconstructing the backbone network and the feature fusion path, the significant rise of the detection precision is realized.

The invention belongs to the technical field of visual displacement detection, and discloses a target plane displacement data precision detection method and device, equipment and a storage medium. The target detection device is controlled by the wireless remote controller to move, the image coordinates of the inspection target and the moving target in the initial state and before and after multiple times of movement are obtained through the visual monitoring system, and the pixel distance between inspection points is determined through the image coordinates. Determining a scale factor by combining the actual distance between the inspection points, determining the pixel distance of the moving target according to the image coordinate of the moving target, and determining the visual measurement distance of the moving target by combining the scale factor; the visual measurement distance of the moving target is subjected to precision detection based on the actual moving distance of the moving target, a high-precision displacement device is combined with a remote control electric mechanism, and meanwhile, a fixed point location joint verification mode is adopted, so that the precision of displacement data can be accurately detected, and the effective verification of a visual algorithm is realized.

The invention provides a camera field angle testing device and method, and the device comprises a testing target, a rotating arm, a lifting platform deck and a computer, a to-be-tested camera is located at the central position of the lifting platform deck, and the lifting platform deck is used for driving the to-be-tested camera to move up and down or rotate horizontally; one end of the rotating arm is fixedly connected with the test target, and the other end of the rotating arm is mounted on the lifting carrying table and is used for driving the test target to rotate around the camera to be tested by 360 degrees in a vertical plane; a control system and an image analysis system are arranged in the computer, and the control system is used for controlling the rotating arm to rotate, controlling the lifting platform deck to lift and rotate and controlling the image analysis system to analyze; and the image analysis system is used for performing field angle analysis on the image shot by the camera to be tested. According to the invention, the problems of inaccurate camera field angle test and the like caused by long camera field angle test time and easy measurement error can be solved.

The embodiment of the invention provides a test route generation method and device and electronic equipment, and relates to the technical field of unmanned aerial vehicle simulation testing, and the method comprises the steps: determining the projection of a to-be-tested target obstacle model on a horizontal plane; based on the projection, determining a benchmark test route of collision between the aircraft and the target obstacle model; and based on the reference test route, a preset route generation interval and the height of the target obstacle model, constructing a target test route in which the aircraft collides with the target obstacle model. Therefore, the generation efficiency of the test route can be improved.

The application discloses a radar scattering cross section test data processing method and device, equipment and a storage medium. The method corrects the cylindrical near-field RCS test data, eliminates the deviation of the test system itself, and improves the accuracy of the test data. Further, in the environment where the size of the test target is large and the strong scattering source of non-target is introduced, the clutter filtering is used to effectively eliminate the scattering interference of the non-test target, and the real test result of the test target is obtained, and the accuracy of the test data is improved. Meanwhile, the transmission characteristics of the cylindrical wave are equivalent to the spherical wave in the horizontal component and equivalent to the plane wave in the vertical component. After the data is calibrated and the clutter is filtered, the far-field conversion is performed, and the far-field test data with high accuracy meeting the actual requirements is obtained.

The application aims to provide a distance compensation based RCS near far field transformation calculation method, and belongs to the technical field of RCS testing. The calculation method uses a large enough metal plate for calibration when measuring the near field echo signal, can shorten the overall test end face, improve the dynamic range of the test, and effectively reduce the loss interference of the intermediate path; then by measuring the echo signal received by the near field, and considering the actual situation that the distance from the test surface to the target will change with the rotation angle when the target rotates, a distance compensation function is introduced, the traditional NFFFT calculation formula is extended to the NFFFRT calculation formula based on distance compensation, and a more accurate RCS calculation method is provided for the stealth performance of the test target.

The invention relates to a high-precision near-field laser radar cross section testing and evaluating method, which relates to the field of testing and comprises the following steps of: fixing a target to be tested on a rotary table with an upper rotary shaft, an arc shaft and a lower rotary shaft through an adapter; the rotary table is slidably or fixedly connected below the cross beam; a measuring device is fixed at the bottom of a testing frame with a transverse rolling shaft, a pitch shaft and an azimuth shaft through an adapter, and the testing frame can horizontally move up and down in multiple directions so that the measuring device can abut against a target in multiple angles and acquire laser radar scattering intensity voltage signals of the target; replacing the measured target with the standard board in the metering validity period, synchronously measuring the standard board, and obtaining a laser radar scattering intensity voltage signal of the standard board; the method has the advantages that high-precision measurement and evaluation of the near-field laser radar scattering cross section under different missile-target intersection distances, miss distance, measurement system postures and target postures can be realized.

Techniques are provided comprising illuminating a camera test target according to a first light setting associated with an ambient light condition experienced by a vehicle traversing an environment; determining, based at least in part on the first image and on a known characteristic of the camera test target, a first image quality indicator; and determining, based at least in part on the first image quality indicator, a first image processor setting associated with the first light setting. Respective image processor settings can be determined for each of multiple ambient light conditions. The image processor settings may be transmitted to a vehicle controlled based at least in part on an ambient light detection associated with the environment through which the vehicle is traversing being associated with the first light setting or the second light setting.

The application discloses a kind of electromagnetic scattering data determination method and device of test target, belong to target electromagnetic scattering characteristic test field.The method comprises: constructing semi-empirical model of test target;First scattering geometric parameter known to test target and electromagnetic scattering characteristic data corresponding to first scattering geometric parameter are input into semi-empirical model, and the model parameter of semi-empirical model is obtained;Second scattering geometric parameter known to test target is input into semi-empirical model with determined model parameter, and the electromagnetic scattering characteristic data corresponding to second scattering geometric parameter is obtained;Wherein, the bistatic angle corresponding to second scattering geometric parameter is greater than the bistatic angle corresponding to first scattering geometric parameter.The present application can improve the accuracy and reliability of large bistatic angle test on rough ground (such as land, cement ground).

An object is to provide a technique capable of increasing efficiency of executing a fuzzing test. A restart controller restarts a test target apparatus when a monitoring part monitors that the test target apparatus is crushed on fuzzing using a plurality of fuzzes, the fuzzing execution part executes the fuzzing using one or more fuzzes after the test target apparatus is restarted, and one or more fuzzes including a fuzz crushing the test target apparatus is specified based on a monitoring result of the monitoring part on the fuzzing using one or more fuzzes.

An optical radar test system comprises a cavity, two arc-shaped slide rails, an environment control device, a ground structure, an erection platform, a slide rail system and a test target object. The arc-shaped sliding rail is located in the cavity. The environment control device is hung between the two arc-shaped sliding rails through a bearing and is provided with a plurality of scene control modules. The ground structure is located in the cavity and located between the two arc-shaped sliding rails and below the environment control device. The erection platform is located at a first endpoint of a midline of the ground structure and is configured to erect an optical radar. The sliding rail system is located above the center line of the ground structure and is horizontally arranged. A test target object is arranged on the slide rail system. The optical radar test system comprises a plurality of scene control modules, so that the performance of the vehicle-mounted radar on different test targets under different weather conditions can be simulated in the same cavity, a large amount of data feedback can be obtained in a short time, and the research and development speed is improved.