47 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 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 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 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.

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 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 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.

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.

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 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.

The invention provides a calibration method of electron beam measuring equipment, a medium, a product and equipment. The method comprises the following steps: acquiring a calibration formula; determining an image acquisition position of the electron microscope scanning image according to the calibration formula; generating an electron microscope scanning image at the image acquisition position of the detection wafer through electron beam measurement equipment; determining a plurality of to-be-measured feature patterns in the electron microscope scanning image according to the calibration formula, and carrying out critical dimension measurement on the to-be-measured feature patterns to obtain coordinate information corresponding to each to-be-measured feature pattern; fitting the coordinate information to obtain a straight line of the to-be-measured feature graph along the coordinate axis direction; and determining the angular deviation of the electron beam measuring equipment according to the straight line, and compensating the angular deviation into the electron beam measuring equipment. Through the method, high automation of an electron beam measuring equipment calibration scheme can be realized, result fluctuation caused by operation difference of personnel is thoroughly eliminated, high consistency and repeatability of calibration operation are ensured, and calibration efficiency is greatly improved.

The utility model discloses correction equipment for an optical diopter tube barrel, and relates to the technical field of correction equipment. The device comprises a rectangular bedplate, wherein an adjusting mechanism and a lifting mechanism are arranged on the rectangular bedplate; a pipe barrel fixing disc penetrates through the rectangular table plate, the pipe barrel fixing disc is rotationally connected with the rectangular table plate, an optical diopter pipe barrel is arranged at the top of the pipe barrel fixing disc, the adjusting mechanism comprises two rectangular supporting plates fixedly connected to the bottom of the rectangular table plate, and a bidirectional threaded rod is rotationally connected between the two rectangular supporting plates; the front side of the rectangular supporting plate located on the front side is fixedly connected with a first motor. According to the utility model, through the arrangement of the adjusting mechanism, the problems that the optical axis of the tube barrel is difficult to coincide with the optical axis of a measured target in the use process of the existing correction equipment for the optical diopter tube barrel, so that the angle deviation is generated in the measurement process, the final measurement data has larger error, and the measurement result is larger or smaller than the actual value are solved.

An appliance including: a vessel having a chamber for containing flowable substance; a first sensor arrangement measuring a parameter indicative of the 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

The invention relates to the technical field of tower-type photo-thermal power generation, in particular to a tower-type photo-thermal heliostat calibration method based on unmanned aerial vehicle aerial survey and image analysis, which comprises three steps of unmanned aerial vehicle calibration and data acquisition, image analysis and deviation calculation, and regression analysis and parameter calibration, under the condition of night or cloudy days, the deviation between the actual normal direction and the theoretical value of the heliostat is calculated through the red LED marker lamp and the offset of the reflected light spots; and fitting multi-point data by using a least square method, separating an azimuth pitching initial angle deviation and a stand column inclination angle deviation, and realizing automatic compensation. The tower-type photo-thermal heliostat calibration method is efficient, high in precision and flexible through organic combination of aerial survey of the unmanned aerial vehicle and the image analysis technology, the limitation that a traditional correction method depends on sunlight is solved, the calibration efficiency and precision are remarkably improved, and the tower-type photo-thermal heliostat calibration method has important technical significance and wide application prospects.

To provide a system for spatio-temporally calibrating optical sensors.SOLUTION: A processor in a system for calibrating a pair of optical sensors that form an overlapping area in a scanning field of view in which scanning directions of optical scanning are rotated in opposite directions about main axes parallel to each other in a host vehicle defines a scanning direction set symmetrically in each optical sensor as a reference direction. When a scanning azimuth in which each optical sensor 40 detects the same target in the overlapping area is defined as a detection azimuth, the control device is configured to monitor an angle deviation Δ θ between detection angles θ L and θ R from a reference azimuth to the detection azimuth of the same target in each optical sensor, and calibrate a time difference given between reference scanning times tL and tR at which the reference azimuth is scanned in each optical sensor to a correction time difference Δ t correlated with the monitored angle deviation Δ θ.SELECTED DRAWING: Figure 5

The invention discloses a laser radar and a rotating mirror device thereof. A mirror bracket and a reflecting mirror of the rotating mirror device are of a split assembly structure, that is, the mirror bracket and the reflecting mirror are two split parts before being assembled, and the mirror bracket and the reflecting mirror are assembled to form the rotating mirror device. Moreover, the first area of the installation surface of the reflector is fixedly connected with the mirror bracket, and the second area of the installation surface and the mirror bracket are arranged at an interval. Partial area of the mounting surface of the reflector is matched with the reflector bracket, and the rest area does not need to be matched with the reflector bracket, namely, the matching area between the reflector bracket and the reflector is small, and the size precision and the relative shape position precision of the matching surface between the reflector bracket and the reflector are easy to guarantee. Therefore, the processing difficulty of the mirror bracket and the reflector can be reduced, the processing efficiency can be improved, the processing cost can be reduced, and the angle deviation of the reflector can be controlled within a reasonable range after the mirror bracket and the reflector are assembled.

This invention relates to the field of photogrammetry, specifically to a land boundary measurement method based on UAV imagery. The method includes the following steps: extracting two-dimensional farmland boundaries by filtering pixels using frequency domain data and baseline phase parameters; calculating angular deviation mapping to generate a dynamic topological weight coefficient set; introducing an adjustment model with error constraints to optimize and obtain three-dimensional point cloud and orientation data; and extracting profile sequences to perform elevation difference calculations to obtain variation features and filter abrupt change points to output measurement records. In this invention, by combining prior error constraints for adjustment optimization, terrain interference is effectively overcome and systematic ranging offsets of the equipment are eliminated. Elevation gradient calculations are performed on the point cloud, and a penalty term is constructed using roughness and vegetation attributes to deeply suppress high-frequency noise caused by crop shading and gravel. This accurately distinguishes between real embankment fractures and vegetation artifacts, providing an anti-interference judgment benchmark for extracting boundary abrupt change points and ensuring the spatial positioning accuracy of the measurement records.

This invention provides a method for calculating correction parameters for motion errors in a machine tool, and the machine tool itself. The method comprises the following steps: a first measurement step, measuring three measuring surfaces A to C of a right-angle standard using a contact probe; a second right-angle calculation step, calculating a first right angle based on the measurement results of measuring surfaces A and B, and calculating a second right angle based on the measurement results of measuring surfaces A and C; a difference calculation step, calculating the difference between the two right angles; a judgment step, comparing the difference with a difference threshold; a right-angle identification step, calculating the average value of the two right angles if the difference is below the difference threshold, and calculating the angular deviation of the translation axis if the difference exceeds the difference threshold, and calculating a corrected right angle based on the angular deviation and either the first or second right angle; and a correction parameter setting step, setting the correction parameters based on the average value or the corrected right angle.

This invention provides an adaptive calibration method for installation deviation of a multi-point angular deviation detection device for aerospace transparent parts, belonging to the field of automated inspection technology. The method first acquires an array of light spot images and preprocesses them to obtain binary images corresponding to four light spots. Then, adaptive spot center positioning is performed on the binary images corresponding to the four light spots. After calculating the centers of the four light spots, calibration is performed with the corresponding four crosshair standard positions generated by the CCD array to obtain an adaptive dynamic adjustment amount. The adjustment angle is calculated based on the adjustment amount, and this adjustment angle is removed from each angular deviation detection result of the transparent part, ultimately obtaining an accurate measurement result. This method can formulate a specific adjustment scheme for the array-type angular deviation detection device for aerospace transparent parts and solve the adjustment angle in real time for device calibration.

The invention relates to a camera calibration adaptive angular point method. Comprising the following steps: acquiring an image and processing the image to obtain a checkerboard image for corner detection; angular point detection is carried out; recording upper, lower, left and right adjacent corner points of the optimal reference corner point; constraint parameters are set, and the adjacent distance range between each angular point and the upper or lower and left or right, the angle deviation range between each angular point and the upper or lower adjacent and left or right, and the included angle deviation range of each quadrant are set; removing angular points which are not inner angular points according to the constraint parameters; according to the method, through the adaptive angular point extraction technology, the situation that the calibration image is incomplete in the edge area can be effectively dealt with.

The invention provides a high-resolution angular deviation measurement method based on phase-sensitive CPSDOCT, which can remarkably improve the accuracy and sensitivity of angle measurement by utilizing the characteristics of high resolution, non-contact property and rapid imaging of an OCT technology, overcome the limitation of the traditional technology on the aspects of stability and applicability, and realize real-time and efficient angle imaging and measurement. Through high-resolution imaging of the OCT technology, very accurate surface three-dimensional data can be obtained, and then very tiny angle change is calculated; the OCT technology does not depend on a traditional contact type measuring tool, errors caused by contact friction, deformation and other factors are avoided, and the OCT technology is suitable for measuring precise or vulnerable objects; the method can realize rapid measurement, and is suitable for real-time quality control.

This provides a simple, easily implementable measurement technology that avoids the use of high-end optical components, thereby meeting the demands of mass production. [Solution] The method includes (i) a sample comprising an outer flat first surface 22a and an outer flat second surface 22b nominally inclined upward at a nominal angle with respect to the first surface 22a, (ii) generating a second incident LB 205b parallel to a first incident light beam (LB) 205a, (iii) obtaining a first return LB 225a, (iv) obtaining a second return LB 225b by bending the second incident LB 205b at a nominal angle, reflecting the bent LB from the second surface 22b, and bending the reflected LB at a nominal angle, and (v) estimating the actual inclination angle between the first surface 22a and the second surface 22b based on measuring a first angular deviation between those return LBs.

The present application belongs to the technical field of hydraulic support group control, and particularly relates to a hydraulic support drift angle correction method and system for steeply inclined large-mining-height working face. Anchor points are arranged on the end and chute side, and data such as IMU, stroke / pressure, UWB / laser and conveyor attitude are collected, and a virtual strike reference angle is obtained through robust regression and consistency constraint; the overall deviation is determined according to the strike number and sliding window (same number rate / variance / mean), and the staggered strategy of remainder grouping is adopted to perform continuous small-step shaping, so that the adjacent drift angle deviation RMS is less than or equal to the threshold value, and then the residual deviation is zeroed in the single-frame closed loop, thereby solving the problem that the center line of the conveyor or chute is taken as a single reference datum, and finally leading to the problem of more and more deviation of the drift angle of the whole line support.