78 results about "Angular deviation" patented technology

In various examples, head pose prediction for automotive occupant sensing systems and applications is presented. The systems and methods described herein provide for a machine learning model trained using a dataset that comprises ground truth head pose data computed using a registered head model of a training subject. While operating a vehicle, one or more cameras and a depth sensor capture synchronized images of the training subject. To compute a ground truth 3D head pose, angular deviations between a 3D point cloud and the registered head model may be computed to obtain a 3D ground truth head pose measurement. Using an extrinsic calibration transform, the head pose measurement may be mapped into the sensor coordinate frame. Training samples may be produced for training the machine learning model that comprise an optical image frame and the head pose measurement transposed into the frame of reference for that optical image frame.

The invention discloses a method and a device for measuring orthogonality of an orthogonal rotary shaft system, and belongs to the technical field of orthogonal rotary shaft system detection. The orthogonal rotary shaft system comprises a first rotary shaft system and a second rotary shaft system; the method comprises the following steps: carrying out axis inclination angle rotation error measurement and attitude fine adjustment by using a CCD (Charge Coupled Device) double-axis autocollimator, and a cubic reference prism and a double-sided optical flat which are respectively fixed with a first rotation shaft system and a second rotation shaft system; setting a reference cross line XY through the double-sided optical flat by using a second rotary shaft system; the cross curve of the reflected light beam of the cubic reference prism is overlapped with the reference cross curve XY by adjusting the mounting positions of the two rotary shaft systems; and rotating the first rotating shaft system, recording an angular deviation value and calculating an orthogonality value of the two rotating shaft systems. According to the invention, the reference drift error of mutual aiming of the two autocollimators is eliminated, the interference of the rotation error of the shaft system on orthogonality measurement is eliminated, and the precision and reliability of the orthogonality measurement of the shaft system are improved on the whole.

The invention discloses a wafer edge finding method and device, the method comprising: collecting an edge image of a wafer, the wafer being placed on a chuck table, the chuck table being movable along an X, Y and θ axis; obtaining arc feature points and notch feature points from the edge image; performing circle fitting on the arc feature points to obtain a first fitted circle; identifying and filtering out abnormal points in the arc feature points based on the first fitted circle and a first preset threshold; performing circle fitting on the remaining arc feature points again to obtain a second fitted circle; identifying and filtering out abnormal points in the remaining arc feature points based on the second fitted circle and a second preset threshold to obtain filtered arc feature points; determining the center deviation of the wafer based on the filtered arc feature points; moving the chuck table along one or more of the X, Y and θ axes to perform center compensation on the center deviation, during which the wafer and the chuck table are separated; determining the angular deviation of the wafer based on the notch feature points; rotating the chuck table around the center of the chuck table to perform rotation compensation on the angular deviation.

The invention discloses a motor insertion piece positioning detection method using optical recognition, and particularly relates to the technical field of motor manufacturing and detection. Collecting a high-resolution image containing the insert structure; carrying out image gray level enhancement and reflection interference suppression; extracting insert edge gradient information, and constructing an insert boundary point set; fitting the profile of the insert according to the boundary point set, and correcting the profile through a shape prior model; extracting barycentric coordinates and center positioning features of the inserts, calculating offsets delta X and delta Y and an angular deviation theta, and constructing a position offset vector V; the V is compared with a set tolerance model T, and whether the insertion piece is qualified or not is judged; an error distribution thermodynamic diagram is generated based on the offset data of the multiple punching sheets, and trend evaluation of the mold state and the material stability is achieved; according to the method, high-precision, full-automatic and visual detection of the sheet inserting position can be realized, and the sheet punching quality control level is improved.

The invention provides a novel GNSS-IR elevation angle deviation correction method and system, and relates to the technical field of data processing, and the method comprises the steps: building a novel elevation angle deviation correction method taking electron density as a reference through a refraction angle relation; generating an SNR file, wherein the SNR file contains pseudo-random noise codes, azimuth angles, elevation angles and S1C observation value data of about 15000 epochs in one day; acquiring a satellite zenith distance and a position of an ionosphere puncture point by using a Krounberg model, and inputting the satellite zenith distance and the position of the ionosphere puncture point into a Nequick-G model to calculate and obtain electron density; the electron density and the satellite zenith distance are used as input parameters to be input into the novel elevation angle deviation correction method to obtain angle errors, the elevation angle is corrected, and the sea surface height is calculated according to the corrected elevation angle. The precision and reliability of sea surface height measurement are improved.

The invention relates to the technical field of concrete crack measurement, and particularly discloses an automatic concrete crack width measuring instrument which comprises a supporting bottom plate and a plurality of moving wheels arranged at the bottom of the supporting bottom plate, and further comprises a measurer used for measuring and detecting a crack on a concrete wall surface; according to the device, multiple functions such as height adjustment, angle adjustment, rapid installation and lubrication are integrated in a compact structure, a worker only needs to push the device, the measurer can be moved according to the action of the moving wheels, and compared with a mode that the worker holds the measurer to measure a concrete wall surface, the device is more convenient to use, and the working efficiency is improved. Therefore, the working fatigue of a worker for measuring the concrete wall surface is correspondingly reduced, and meanwhile, under the condition that long-distance measurement is performed or a target point is not easy to aim, the problem of angular deviation or target point identification error caused by the shaking effect of the arm of the worker when the worker holds the measurer in a hand is avoided, and the working efficiency is improved. Therefore, the working efficiency of measuring the concrete wall surface by a worker is improved.

The invention discloses a horizon astronomical telescope pointing error correction method based on machine learning. The method comprises the following steps: recording fixed star data; constructing a telescope rack pointing model, calculating a model coefficient, performing coarse correction on a new observation target, accumulating observation data, and preprocessing the observation data; training the preprocessed training set data by using an XGBoost regression model, predicting condition parameters of a new observation target by using a trained error prediction model to obtain normalized azimuth angle deviation and elevation angle deviation predicted values of the new observation target, and carrying out reverse normalization processing on the predicted values to obtain an actual rack deviation angle; and superposing the rough correction deviation angle and the actual rack deviation angle to serve as a final offset to be injected into a telescope rack tracking program so as to realize correction of a pointing error. According to the invention, the pointing error can be within a very small range, and the pointing precision of the horizon telescope can be effectively improved.

The embodiment of the invention discloses a control method, device and equipment, the method is applied to agricultural equipment provided with a camera device, and the method comprises the following steps: controlling the agricultural equipment to run between two adjacent rows of crops longitudinally arranged in a target area according to a preset planning path, obtaining target image data of the agricultural equipment in the driving process according to a camera device; acquiring a first included angle between the navigation line and a longitudinal axis in the image coordinate system of the target image data, wherein the longitudinal axis is the same as the driving direction of the agricultural equipment; according to the first component of the agricultural equipment in the longitudinal axis direction and the second component of the agricultural equipment in the transverse axis direction in the moving coordinate system, the angular deviation of the agricultural equipment in the driving direction is determined; determining the transverse deviation of the agricultural equipment according to the first included angle, the first component and the second component; and determining a target angular velocity according to the angular deviation and the transverse deviation, and controlling the agricultural equipment to continuously run according to the target angular velocity.

The invention discloses a laser spot relative position measurement-based CA type five-axis machine tool rotating shaft zero error and axis error measurement compensation method. The method comprises the following steps of S1, detection system preparation: clamping or fixing a laser pen to a main shaft; s2, the A-axis zero error is measured and compensated, wherein the A-axis zero error is defined as the angle deviation between the actual posture and the theoretical ideal posture of the execution tail end of the machine tool when the rotating shaft is set to be at the 0-degree reference position; s3, measuring and compensating a C-axis zero error, wherein the C-axis zero error is defined as the angle deviation between the actual posture and the theoretical ideal posture of the execution tail end of the machine tool when the rotating shaft is set to be at the 0-degree reference position; s4, performing measurement compensation on the deviation of the A axis-main axis rotation center line in the Y direction; s5, measuring and compensating the deviation of the C-axis-main axis rotation center line in the Y direction; and S6, performing measurement compensation on the deviation of the C-axis-main axis rotation center line in the X direction.

The present invention discloses a tracking method based on antenna pattern feature matching, which relates to the field of communication technology. The present invention first generates a corresponding off-axis angle data pair based on the three-dimensional pattern of the antenna and the tracking accuracy requirement, and calculates the four-quadrant inverse tangent feature of the off-axis angle data pair. After the antenna points to the angular position where the signal strength is maximum, the tracking is stopped and the angular position guidance mode is switched to. When the signal strength drops below the tracking accuracy requirement, a single elliptical trajectory scan is performed. Finally, based on the data recorded during the scanning process, the four-quadrant inverse tangent feature of the off-axis angle data pair is matched, the angular deviation between the elliptical scanning rotation center angular position and the angular position of the maximum signal strength is calculated, and the antenna is driven to point to the angular position of the maximum signal strength. The present invention effectively alleviates mechanical wear, reduces power consumption, and improves the accuracy and efficiency of the antenna tracking the maximum signal.

The invention relates to a camera installation deviation calibration method and device applied to regional inspection, and the method comprises the steps: carrying out the parameter extraction of camera equipment, and obtaining a target parameter; determining an equipment installation position of the camera equipment, performing environment acquisition on the equipment installation position to obtain an equipment environment, constructing a panoramic image of the equipment installation position, and performing feature extraction on the panoramic image to obtain a feature image; performing image shooting on the equipment mounting position by using the camera equipment to obtain a shot image, performing image synthesis on the shot image to obtain a synthesized image, and calculating a position deviation coefficient of the camera equipment; and calculating the overlap ratio of the panoramic image and the composite image, determining an angle deviation coefficient of the camera equipment in combination with the overlap ratio and the target parameter, and calibrating the installation position of the camera equipment according to the position deviation coefficient and the angle deviation coefficient. The calibration accuracy of the installation deviation of the camera applied to regional inspection is improved.

The invention discloses a super-view-field target capturing method based on image matching, and the method comprises the steps: S1, enabling a projectile body to fly to a designated target region according to navigation information, and enabling a seeker to start working; s2, receiving a real-time infrared / television image by a seeker, and selecting a target template in a module library to carry out traversal matching on the real-time image in combination with current bullet body information and pre-bound target information; s3, if the target is successfully captured, entering S7; otherwise, entering S4; s4, if the target is not in the field of view, sequentially selecting the reference point templates in the template library to carry out traversal matching on the real-time image until the matching is successful; s5, according to the successfully matched reference point position and the relative position information of the reference point relative to the target point stored in the template library, calculating the angular deviation of the target relative to the reference point; s6, the seeker outputs a projectile body angle control signal to control the posture of the projectile body to turn to a designated position, and the step S2 is executed; s7, entering a target tracking mode until the target is hit; the target not in the field of view can be captured.

The invention relates to a method for compensating for an angle error in determining an angle value of an arrangement having a permanent magnet and at least two magnetic field sensors, having a distance formed between the permanent magnet and the magnetic field sensors, in which sinusoidal and cosine signals are generated in the magnetic field sensors, the measurement and evaluation unit comprises two signals, and an evaluation signal corresponding to the angle value is formed from the two signals by means of an arc tangent function, an arrangement error and an error of the measurement and evaluation unit alters the shape of the evaluation signal and causes an angular deviation in the evaluation signal, and in order to minimize the angular deviation, the measurement and evaluation unit is configured to measure the angle value of the measurement and evaluation unit. An offset value of the signal is varied and determined by determining a density difference of measurement points of a first harmonic in the evaluation signal and / or a second harmonic in the signal and / or a Lissajous figure.

Disclosed herein is a method including: providing a light guiding arrangement (LGA) configured to redirect light, incident thereon in a direction perpendicular to an external surface of the sample, into or onto the sample, such that light impinges on an internal facet of the sample nominally normally thereto; generating a first incident light beam (LB), directed at the external surface normally thereto, and a second incident LB, parallel to the first incident LB and directed at the LGA; obtaining a first returned LB by reflection of the first incident LB off the external surface, and a second returned LB by redirection by the LGA of the second incident LB into or onto the sample, reflection thereof off the internal facet, and inverse redirection by the LGA; measuring an angular deviation between the returned LBs and deducing therefrom an actual inclination angle of the internal facet relative to the external surface.

In various examples, head pose prediction for automotive occupant sensing systems and applications is disclosed. The systems and methods described herein provide a machine learning model trained using a dataset comprising ground-truth head pose data computed using a recorded head model of a training subject. While driving a vehicle, one or more cameras and a depth sensor capture synchronized images of the training subject. To compute a ground-truth 3D head pose, angular deviations between a 3D point cloud and the recorded head model may be calculated to obtain a 3D ground-truth head pose measurement. Using an extrinsic calibration transform, the head pose measurement may be mapped into the sensor coordinate frame.Training samples can be generated to train the machine learning model, which include an optical image frame and the head pose measurement transposed into the reference frame for that optical image frame.

The utility model provides a device for detecting torsional angle deviation of blind holes in two end faces of a revolving body, which belongs to the field of devices for detecting torsional angle deviation of blind holes in inner side faces of two ends of the revolving body, and comprises a first template, a support cylinder, a second template, a plurality of first threaded pin rods and a plurality of unthreaded hole pin rods, a plurality of first through holes corresponding to the threaded blind holes are formed in the first template; one end of the supporting cylinder is connected with the first template; the second template is connected with the other end of the supporting cylinder and matched with the outer side face of the second end face, and a plurality of second through holes corresponding to the unthreaded blind holes are formed in the second template; the plurality of first threaded pin rods are inserted into the threaded blind holes through the first through holes and are fastened; each unthreaded hole pin rod is inserted into the corresponding second through hole and the corresponding unthreaded hole blind hole. The problem that in the prior art, the detection requirement that the end faces of the rotary body are blind holes cannot be met is solved.

The invention relates to a foresight borehole image expansion method based on machine vision, and the method comprises the steps: highlighting a central region of a foresight image borehole through Gamma transformation, and extracting the center of the image borehole and the inner and outer diameters of an effective annular image through a least square circle detection # imgabs0 # algorithm; the problems that a conventional Hough circle detection method is difficult in parameter adjustment and a least square method is large in circle detection calculation amount are solved; according to the invention, the effective annular image is used as the target image to be unfolded, so that the influence caused by camera shaking and non-centering during borehole measurement is eliminated. Before the effective annular image is unfolded, the drilling center of the front-view image serves as the rotation center, the effective annular image is reversely rotated according to the angular deviation of the tool face, and the influence caused by free rotation of a camera during drilling measurement is eliminated.

The invention relates to the technical field of material characterization and nondestructive testing, and discloses an X-ray metal stress rapid detection device, which is characterized in that a composite sensing head comprises six groups of line laser scanning heads, a micro-focusing X-ray tube, a CMOS detector, an infrared thermal imager and an ultrasonic transceiver; the dynamic pose system ensures vertical incidence of X-rays through a six-axis mechanical arm and an inclination angle compensation platform; the high-frequency processing module fuses the multi-physical field data and generates a stress nephogram through an AI algorithm; the safety protection structure comprises an electromagnetic shielding cover and a lead glass window. The six-axis mechanical arm is combined with the dip angle compensation platform to dynamically adjust the incident angle of the X-ray, it is ensured that the X-ray always vertically enters the curved surface, Bragg condition misalignment caused by dip angle deviation is eliminated, seven kinds of stress field data such as residual stress, thermal stress and defect stress can be synchronously collected, and dynamic stress calculation larger than or equal to 20 kHz is achieved through the high-frequency processing module.

The application discloses a thread hole space positioning and multi-hole alignment method based on monocular vision and belongs to the technical field of visual detection. The method comprises the following steps: S1, constructing a space positioning system based on monocular vision; S2, calibrating the system to establish a conversion relationship between a camera coordinate system and an upper cover through-hole coordinate system; S3, collecting a single thread hole image and positioning a center; S4, using a ray set and a three-dimensional center point set of the thread hole to model pose solving into registration between multiple points and multiple lines to obtain a pose relationship between the upper cover and the lower cover; and S5, aligning the holes of the upper cover through hole and the thread hole. The multi-hole alignment problem is modeled into a registration problem between multiple points and multiple lines. Compared with the manual alignment mode, the total angular deviation is controlled within 0.8 degrees, and the total position deviation is within 0.8 mm.

The invention relates to a method for compensating for an angle error when determining an angle value of an arrangement having a permanent magnet and at least two magnetic field sensors, comprising a distance formed between the permanent magnet and the magnetic field sensors, in which distance a sinusoidal signal and a cosine signal are generated in the magnetic field sensors, and wherein the sinusoidal signal and the cosine signal are generated in the magnetic field sensors. An evaluation signal corresponding to the angle value is formed from the two signals by means of an arc tangent function, the arrangement error and the error from the measurement and evaluation unit alter the shape of the evaluation signal and cause an angular deviation in the evaluation signal, and in order to minimize the angular deviation, the arrangement error and the error from the measurement and evaluation unit change the shape of the evaluation signal. According to the invention, a value for correcting a gain error and / or a value for correcting an orthogonality error of the signal is varied and a value for correcting a gain error and / or a value for correcting an orthogonality error is ascertained, the density difference of the measurement points of the second harmonics in the analysis processing signal and / or the third harmonics in the signal and / or the Lissajin pattern is determined.

The invention discloses a rotary table shafting assembling method based on a laser centering instrument. The rotary table shafting assembling method comprises the following specific steps that a left trunnion and a right trunnion are installed in installation holes of a first frame respectively; assembling left and right trunnions, left and right bearings and left and right bearing seats to form left and right trunnion systems; the left and right trunnion systems are mounted in mounting holes of the second frame of the rotary table; and the fixing parts are fixed on the outer circumferences of the left trunnion and the right trunnion. Adjusting the heights and the positions of the two measuring units to obtain the shaft deviation and the angle deviation of the left trunnion system and the right trunnion system; and the shaft hole and the end face of the second frame are ground and repaired, the left and right trunnion systems are installed again, and the shaft deviation and the angle deviation of the left and right trunnion systems are measured again through the laser centering instrument. And the left and right trunnion systems are disassembled respectively, the first frame is installed in the second frame, the left and right trunnion systems are installed, and assembly of the trunnion systems is completed. According to the method, when the trunnion system is assembled, the centering precision is detectable, the operation is convenient and visual, the positioning precision is high, the assembly precision requirement is easily met, and the assembly efficiency is improved.

The invention relates to the technical field of size measurement, in particular to a method for achieving cross-image size measurement through coordinate transformation, and the method comprises the steps: controlling the movement time and position of a lens through a servo motor, so as to guarantee the positioning of the lens during each shooting; a product is moved to a proper position through the feeding mechanism, and it is ensured that a measured object and a lens are kept horizontal and parallel, so that measurement errors caused by angle deviation are reduced; a high-definition and high-speed camera is used for shooting images on the sliding rail according to a preset path in a regional mode, and overlapping areas of a certain proportion are reserved between adjacent shooting areas; a coordinate conversion algorithm is adopted; according to the method, a high-definition and high-speed camera, a high-precision servo motor and an advanced coordinate conversion algorithm are combined, accurate measurement of a large number of sizes can be completed within extremely short time, and the real-time detection requirement on an industrial automatic production line is met. Through an adaptive correction algorithm, the problem of angular deviation of images obtained at different visual angles is solved.

The invention relates to a contact system comprising a first contact part (3) with a first contact surface and a second contact part (5) with a second contact surface, wherein a first contact surface region (7) of the first contact surface is in, preferably planar, press connection with a second contact surface region (9) of the second contact surface, and wherein the first contact surface and the second contact surface are formed, preferably geometrically, such that the surface area of ​​the first contact surface region (7) has a, preferably geometrically, predefined amount, which amount is essentially independent of whether a first longitudinal axis (L1) of the first contact part (3) is aligned with a second longitudinal axis (L2) of the second contact part (5) or whether there is an angular deviation between the first longitudinal axis (L1) and the second longitudinal axis (L2), and preferably, if there is an angular deviation,the amount is essentially independent of a value and / or size of the angular deviation.,

Methods and systems for a microscope system are provided. In one example, a method for image-based detection of the optical orientation for the microscope system includes acquiring a multitude of contrast samples of an object's field of view, determining a contrast distribution for a multitude of subdivided sub-areas of the field of view based on the multitude of contrast samples, and generating an angular deviation value based on a focus position derived from the contrast distribution for each of the multitude of subdivided sub-areas. In another example, the method further includes adjusting the microscope system based on the angular deviation value.

The invention belongs to the technical field of geosteering and geological exploration, relates to a horizontal drilling underground geosteering automation method based on while-drilling gamma data, and aims to solve the problems of response lag, low decision efficiency and trajectory deviation in the prior art. The method comprises the following steps: acquiring natural gamma data and azimuth gamma data measured while drilling in real time; determining the relative position of the drill bit and the box body at the current moment; acquiring a hole drift angle at the current moment and the vertical depth of a drill bit, and calculating and updating a stratigraphic dip angle in combination with the relative position; and determining an angular difference based on the hole drift angle and the stratigraphic dip angle at the current moment, and adjusting the hole drift angle of the lower-section footage according to the angular difference and the relative position of the drill bit to carry out geosteering. Automatic decision logic is constructed, downhole response is quicker, and immediate adjustment can be achieved under critical working conditions that a drill bit is close to the boundary of a box body, and deviation between a hole drift angle and a stratigraphic dip angle is too large.

An appliance comprising: a reservoir having a chamber for containing a flowable substance; a first sensor arrangement that measures a parameter indicative of an amount of flowable substance in the chamber; wherein the appliance is configured to determine a target angular deviation from a reference axis required to pour a predetermined amount of flowable substance from the chamber.

This invention discloses a high-precision visual alignment and bonding method, comprising the following steps: S1, scanning a flexible workpiece using a TOF camera or structured light sensor to obtain three-dimensional point cloud data of the surface of the flexible workpiece; relating to the field of image recognition technology, this application uses a TOF camera or structured light sensor to scan a flexible workpiece to obtain three-dimensional point cloud data of the surface of the flexible workpiece. After noise reduction, smoothing, and feature extraction, a hyperelastic constitutive model of the flexible workpiece is constructed to generate three-dimensional deformation compensation parameters. Based on the three-dimensional deformation compensation parameters, the robotic arm is controlled to perform alignment adjustment to complete the bonding. This solves the problem that existing 2D vision cannot handle the Z-axis warping, stretching deformation, and angular deviation of flexible workpieces, reduces the error of flexible workpieces when bonding curved surfaces, improves the accuracy of visual alignment and bonding, reduces the occurrence of hollow areas in the bonding of multi-layer flexible workpieces, and thus improves the yield rate of bonding.

The present application discloses a method, device and computer equipment for fully automatic measurement of an image total station, including: first identifying a target point from an image of a target environment, and obtaining the first pixel coordinates of the target point therein; then obtaining the three-dimensional position coordinates of the target point in the binocular stereo vision camera coordinate system and the approximate position coordinates in the image total station coordinate system based on the first pixel coordinates; then extracting the second pixel coordinates from the high-magnification image of the target point based on the approximate position coordinates; finally, obtaining the angle deviation of the target point relative to the target sighting axis of the telephoto camera module based on the second pixel coordinates, thereby achieving the aiming of the telephoto camera module to the target point to measure the position coordinates of the target point. The above scheme solves the technical problems that the existing image total station still needs manual assistance to identify the target point, generally cannot realize unmanned fully automatic measurement work, and has low measurement efficiency, and realizes fully automatic measurement of target points with higher measurement efficiency.

The application provides a method for measuring the polarization degree and angle deviation of a polarizer, which is based on a straight-through light path. After Fourier coefficients a2, b2, a4 and b4 are calculated according to collected light intensity, the polarization degree of the polarizer, the angle deviation between a polarizer and an analyzer, and the polarization performance of a light intensity measuring device can be directly obtained by performing an iterative calculation process. Meanwhile, since the polarization performance of the light intensity measuring device can be directly calculated without additional measurement, sample information introduced in a traditional ellipsometer correction scheme can be excluded.

The invention provides a driving structure, a theodolite and astronomical observation equipment, and the driving structure comprises two groups of harmonic driving assemblies which are perpendicular to each other; wherein each group of harmonic driving assembly comprises a power source and a harmonic assembly connected with the power source; the harmonic assembly is used for transmitting power transmitted by the power source to the correspondingly connected output shaft through harmonic speed reduction; the output shafts comprise the horizontal shaft or the vertical shaft of the theodolite, each harmonic driving assembly is connected with one output shaft of the theodolite, the output shafts, correspondingly connected with the two harmonic driving assemblies, of the theodolite are different in type, a large-dead-weight lens cone can be effectively driven to rotate, the problem that an existing structure cannot drive the large-load lens cone is solved, and meanwhile the structure is simple and convenient to operate. The transmission precision of harmonic transmission is higher, the angular deviation in the driving process can be reduced, and the pointing control precision of the lens cone is improved.