154 results about "Planar projection" patented technology

The invention provides a welding obstacle avoidance path planning method and system based on artificial intelligence, and relates to the technical field of data processing, and the method comprises the steps: carrying out the penetration depth detection of a dynamic convex hull body and a discrete space sampling set, and generating collision probability density distribution; the collision probability density distribution is subjected to quality evaluation, welding gun posture constraint and a kinematics error transfer chain are fused, and a welding quality deviation functional is generated; analyzing high-deviation nodes in the welding quality deviation functional, and executing local tangent plane projection on the associated spatial sampling subsets to obtain pose compensation parameters; and the pose compensation parameter and the joint space motion primitive sequence are input into a kinematics inverse solution module, and an optimized welding gun motion parameter set is generated through geodesic line construction and parameterized spline interpolation. The welding efficiency and the quality target are improved, and the automation level of the whole welding operation is improved.

The invention relates to a photovoltaic monocrystalline silicon material resistivity uniformity evaluation method, and belongs to the technical field of photovoltaic material detection. The method comprises the following steps: evaluating all-form resistivity and doping uniformity of a photovoltaic single crystal silicon rod, a single crystal silicon wafer and a single crystal silicon square wafer; carrying out standardized point distribution on the monocrystalline silicon wafer by using a concentric circular ring and a small circle, and calculating in-plane uniformity by using a triple integral derivation equation; the monocrystalline silicon square pieces are distributed in the form of grid small squares, and in-plane uniformity is calculated by means of a triple integral derivation equation; and for the axial direction of the silicon rod, the uniformity is quantified by utilizing range and variance models through the resistivity of the head, middle and tail wafers. Meanwhile, a continuous grid is generated through interpolation, and a 3D color mapping curved surface diagram with plane projection is drawn to visually present distribution. According to axial and in-plane uniformity results, silicon wafers are classified and graded, the doping uniformity of monocrystalline silicon is accurately reflected, and a support is provided for quality control, process optimization and silicon wafer sorting of photovoltaic monocrystalline silicon.

The invention relates to the technical field of artificial intelligence and digital modeling, and particularly discloses an automatic equipment modeling method and equipment based on artificial intelligence, and the method comprises the steps: obtaining data to construct a multi-modal fusion data set; extracting target features and integrating the target features into a unified high-dimensional feature vector so as to generate a semantic feature map for modeling equipment; obtaining geometric modeling parameters and assembly constraint conditions of modeling equipment by using a parameter optimization model constructed based on a reinforcement learning framework; based on the fault data, optimization is carried out through a Markov decision principle to generate a preliminary 3D model; and performing key point detection and feature alignment on the planar projection of the model and the BIM drawing vector diagram through a hierarchical matching strategy, correcting model deviation based on vertex information to generate a 3D model, and generating a digital twin 3D model. Thus, by means of multi-source data collaborative acquisition and deep feature fusion, the precision, efficiency and adaptability of equipment modeling are remarkably improved in combination with dynamic optimization and a closed loop verification mechanism.

The present invention provides a method for extracting features of the nearshore wave breaking process based on time series video images; wherein, the method comprises: setting at least one pixel sampling area in a plane geographic coordinate system, collecting time series video images of ocean nearshore waves, quickly converting them into plane geographic coordinate images through a coordinate model, and then stacking cross-shore pixel values ​​of several pixel sampling areas within a set time to generate a cross-shore pixel value and time relationship sequence diagram, mining the time-varying signal of the wave propagating toward the shore, combining the geometric relationship between the camera angle of view and the plane projection of the wave breaking, and calculating key wave breaking features such as the wave breaking point position, wave breaking water depth, and wave breaking height; the method can continuously monitor the nearshore wave breaking features efficiently, automatically, and stably, effectively making up for the shortcomings of traditional monitoring and analysis methods, and providing strong technical support for the refined research and management of nearshore beach dynamic landforms.

The invention discloses a welding seam track identification method for impeller wrap angle welding based on point cloud data, and belongs to the field of machine welding seam identification, and the method comprises the following steps: carrying out filtering, down-sampling and clustering on original scanning point cloud; classifying the point cloud data through a region growing clustering algorithm; determining an optimal interception plane based on principal component analysis, and performing curve fitting on section data to obtain a preliminary main welding seam track; the main welding seam track is projected to a local approximate plane in a segmented mode, and accurate extraction of the main welding seam track is completed; and performing plane fitting and thickness calculation on the wrap angle surface, solving an intersection line in combination with an adjacent local approximate plane, calculating an intersection point of the intersection line and the main welding seam track, and finally generating a wrap angle welding seam track in combination with the direction of the intersection line and the wrap angle thickness. Through cooperative calculation of local plane projection and spatial intersection line solving, the whole process operation from recognition, planning to welding can be automatically completed, and unmanned intelligent welding in the true sense is achieved.

The invention discloses an overhead power line icing thickness detection method and system based on a structure perception framework, and the method comprises the steps: firstly obtaining point cloud data of a power transmission line, preprocessing the point cloud data, and inputting the preprocessed point cloud data into a structure perception semantic segmentation network; the network adopts a four-level encoder-decoder architecture, an encoder extracts multi-scale features through local space encoding, cross-scale space attention fusion and local aggregation operation, and a decoder realizes feature fusion in combination with a jumper connection mechanism and outputs a lead semantic segmentation result; extracting a conductor point set based on a segmentation result and carrying out Euclidean clustering strand splitting; performing biplane projection and polynomial fitting on each strand of wire to construct a three-dimensional center line; and finally calculating the distance from the point to the center line, selecting a peripheral point set to calculate the wire envelope radius, and combining the radius of the bare wire to obtain the icing thickness. Measurement deviation caused by point cloud shielding, wire bending and asymmetric icing is effectively solved, millimeter-level precision non-contact ice thickness detection in a complex environment is achieved, and reliable technical support is provided for power grid disaster prevention.

The invention provides a slope excavation engineering quantity calculation system and method based on point cloud, and the method comprises the steps: reading the slope geological data of hydropower engineering to construct an initial three-dimensional model, and collecting the multi-stage point cloud data through a three-dimensional laser scanner; performing equidistant gridding on the point clouds of the model region according to an X / Y axis, calculating the spatial similarity and color similarity of the point clouds in grids, and dividing sub-data sets according to threshold values; fitting an excavation surface through a Delaunay triangulation network, calculating an XY plane projection area, and calculating an average Z-direction distance from a subset to the surface of the initial model; the node weight of the triangulation network is corrected by fusing rock stratum interface parameters, finally, the excavation engineering amount is dynamically output through summation of the product of the projection area of each subset and the average distance, and when the deviation of adjacent stages exceeds 10%, cross validation is conducted in combination with a profile method. According to the method, the precision and the real-time performance of slope excavation engineering quantity calculation can be improved, and automatic integration of lithologic characteristics and mechanical attributes is realized.

The invention discloses a vision and inertial navigation integrated navigation method, system and equipment in a weak vision environment and a medium, and belongs to the technical field of navigation, by fusing an inertial measurement unit and landmark focal plane projection data, the navigation precision of the system under the adverse conditions of low texture, dynamic shielding and the like is remarkably improved, and the navigation continuity can be maintained; according to the method, an indirect Kalman filter is used for carrying out feedback correction on initial navigation parameters, noise interference and inertial navigation accumulative errors are effectively inhibited, navigation errors are remarkably reduced for state estimation, and the robustness and adaptability of the system are enhanced; the method does not depend on complete visual resolving, landmark projection coordinates are directly used, dependence on visual information integrity is reduced, and the system can stably operate even if only a small number of landmarks or a single landmark is visible.

A large-scale point cloud-oriented two-dimensional regularized planar projection method and an encoding and decoding method are disclosed. The two-dimensional regularized planar projection method includes: obtaining original point cloud data; initializing a two-dimensional projection plane structure of a point cloud; and determining a mapping relationship between the original point cloud data and the two-dimensional projection plane structure to obtain a two-dimensional regularized projection plane structure corresponding to the point cloud. The encoding and decoding method includes: predicting based on the two-dimensional regularized projection plane structure of the point cloud to obtain to-be-encoded data; dividing the to-be-encoded data into a first type of to-be-encoded data and a second type of to-be-encoded data; and encoding different data in the first type of to-be-encoded data separately in a preset encoding manner, and correspondingly encoding the second type of to-be-encoded data, to obtain a geometric information bitstream.

The invention discloses a power transmission line multi-mode cooperative sensing method, a mechanical intrusion early warning method and system and a storage medium, and the sensing method comprises the steps: constructing a reference coordinate system, and projecting multi-source data into the reference coordinate system; calling a tension-length coupling correction operator, and carrying out static equilibrium iteration solution on the design span to obtain a three-dimensional conductor sag physical prior curve; inputting the conductor sag physical prior curve and a historical curve in a sliding window of a preset period into a space-time continuous network, and outputting a conductor continuous sag curve in a span range; the method comprises the following steps: respectively cutting interest areas in a visible light image frame and a 4D three-coordinate radio frequency radar frame by taking plane projection of a conductor continuous sag curve as guidance, respectively extracting conductor optical anchor points and conductor radar candidate points, and generating a conductor fine three-dimensional point array in a span range through a medium radian conservation progressive registration operator; according to the invention, centimeter-level precision sensing can be maintained under extreme high-low temperature and complex load conditions.

The invention discloses an airborne laser radar point cloud inverted tree detection method and device and electronic equipment, and the method employs a deep learning semantic segmentation model to process a first point cloud, can precisely distinguish an inverted tree trunk from ground cover objects, rocks and other sundries, remarkably reduces the false detection rate, and guarantees the accuracy of target recognition. And then, a two-dimensional plane projection image is generated based on the second point cloud, so that the problem of discontinuity caused by bending and fracture of the three-dimensional point cloud can be avoided, structured input is provided for subsequent target detection, and the continuity of the detection process is ensured. Afterwards, target detection is carried out on the two-dimensional plane projection image, fragmented missing detection caused by point cloud discontinuity can be avoided, and the overall recognition capability (high recall rate) of the inverted tree is greatly improved while high detection accuracy (low false positive) is kept. And finally, mapping a two-dimensional detection result back to a three-dimensional space, so that three-dimensional point cloud data of a complete inverted tree can be obtained, and a high-density point cloud environment can be adapted more effectively.

Disclosed are a point cloud encoding and decoding method and device based on a two-dimensional regularization plane projection. The encoding method includes: acquiring original point cloud data; performing two-dimensional regularization plane projection on the original point cloud data to obtain a two-dimensional projection plane structure; obtaining a plurality of pieces of two-dimensional image information according to the two-dimensional projection plane structure; and encoding the plurality of pieces of two-dimensional image information to obtain code stream information.

A projection image adjustment method includes: acquiring a first captured image corresponding to a first device including a first lens by capturing an image of a plane projection surface on which a first pattern image including at least four unit images is projected from a first projection device; acquiring a second captured image corresponding to a second device including a second lens by capturing an image of the projection surface; acquiring, based on the first captured image and the second captured image, a projective transformation matrix indicating transformation from a first coordinate system in a first device to a second coordinate system in a second device; and acquiring a plane parameter of the projection surface by using the projective transformation matrix.

The present application belongs to the technical field of catheter positioning, and relates to a precise positioning method based on a catheter model. The core technology of the present application is to determine the position of a positioning clamp through plane projection of a three-dimensional model of the catheter and basic data measurement, and to complete the manufacturing of the positioning clamp after adjusting the positioning clamp device to the target position according to the data calculated after measurement. The method can accurately and effectively control the shape of the catheter part, and the positioning devices can be repeatedly assembled and utilized.

The invention discloses a non-line-of-sight positioning method based on obstacle vectorization and distance measurement cross validation, which belongs to the technical field of wireless positioning and comprises the following steps: step 1, calculating a height difference according to the installation height of a base station and the preset height of a to-be-estimated label, and calculating a plane projection distance value according to the height difference and a TOF distance measurement value; 2, constructing a signal path according to a to-be-estimated label positioning result at the previous moment and the position of each base station, judging the penetration condition of the path by combining a vectorized obstacle map, and performing compensation and reliability screening on the plane projection distance based on the penetration condition to obtain a credible distance measurement value set; 3, solving and calculating a positioning residual error through multi-base-station combined positioning, and carrying out weighted fusion on a solving result according to the residual error to obtain an initial positioning result at the current moment; according to the invention, high-precision positioning can still be kept near the base station and in complex scenes such as multi-shielding and the like, and the application requirement of a shielding environment is met.

A computer-implemented method and system relate to an image encoder that receives a digital image as input. The image encoder generates a weight map using the prior feature map. A prior feature map is generated using pixels of the digital image. A weight map is generated based on Lie data associated with the digital image. The homography is interpolated between the two planar projections of the digital image using at least the weight map and the homography matrix. The homography matrix provides a mapping between two planar projections of the digital image. A homography kernel is generated by applying homography to the convolution kernel. A homographic transform kernel is applied to the prior feature map to convolve different planar regions appearing in the digital image, and a new feature map is generated for computer vision tasks involving three-dimensional (3D) perception.

This invention provides a method for measuring the depth of ultrasonic welding craters based on three-dimensional point clouds, belonging to the field of engineering measurement technology. The method combines two-dimensional and three-dimensional point cloud data fusion detection, overcoming the poor anti-interference capability of traditional two-dimensional image measurement methods. It can operate stably in complex welding environments, ensuring the reliability of the detection results. Simultaneously, by employing a spectral confocal sensor and three-dimensional point cloud technology, the three-dimensional morphology of the welding surface can be accurately captured. Noise is effectively eliminated through point cloud quantile filtering and MAD denoising technology, improving the accuracy of crater depth measurement. Furthermore, this invention automates the crater depth measurement process through various advanced algorithms (such as point cloud quantile filtering, percentile interpolation screening, and plane projection segmentation), reducing the need for manual intervention and improving detection efficiency.

This invention discloses a chemical plating batch clamping fixture based on structural constraint and its application method, belonging to the field of fixture technology. The fixture includes at least one clamping unit, comprising an upper frame, a lower frame, and isolation columns connecting the upper and lower frames. After assembly via the isolation columns, the upper and lower frames have corresponding hollow structures. The contour of the hollow structures matches the planar projection contour of the workpiece. A sandwich structure exists between the upper and lower frames. Longitudinal and transverse protrusions are provided around the hollow structures to constrain the parts within the hollow structure area. Based on the principle of physical interference, the fixture is highly effective in preventing the flipping of lightweight, small parts, eliminating damage to the parts, and is particularly suitable for precision parts.

Tray (21) having a cardboard base (1) and at least a first wall (3a) and a second wall (3b) formed by a first layer and a second layer each having at least one hole (6), the second layer of the first wall having a first planar projection (12), forming an angle with the first wall of between 30° and 90° arranged to retain a first embossing of a lid, the second layer of the second wall having a second planar projection forming an angle with the second wall of between 30° and 90° to retain a second embossing of the lid.

The present invention relates to the technical field of three-dimensional plane projection. Specifically disclosed are a plane projection method and plane projection apparatus on a surface of a three-dimensional object. The method comprises: determining a projection distance of a projection apparatus; determining a projectable range on the basis of the projection distance; performing plane segmentation on a three-dimensional object for projection, so as to obtain a plurality of sub-planes; on the basis of the sub-planes and the projectable range, determining an arrangement mode of the projection apparatus; and arranging a plurality of projection apparatuses on the basis of the arrangement mode, and executing a screen projection operation on said three-dimensional object by means of the plurality of projection apparatuses. By improving a conventional screen projection method, a surface of a three-dimensional object is segmented, and projection is separately performed on different sub-planes, thereby ensuring sufficient projection clarity and satisfying actual requirements.

The invention discloses a CT image-oriented implant space attitude estimation method, and belongs to the technical field of biomedical engineering and computer science. The method comprises the following steps: extracting a target three-dimensional model based on a CBCT image; the CBCT image is obtained by performing cone beam scanning on a target part where an implant is placed during or after an operation; obtaining an implant theoretical model pre-constructed for the implant; the mass center of the target three-dimensional model and the mass center of the implant theoretical model are calculated respectively, and the mass center of the target three-dimensional model and the mass center of the implant theoretical model are aligned; registering the target three-dimensional model and the implant theoretical model of which the mass centers are aligned by utilizing a main shaft rotating mode; and evaluating the registration precision based on multi-plane projection and similarity measurement, and outputting spatial attitude parameters of the implant. According to the method, the registration speed can be increased, the calculation complexity in the registration process is reduced, and the space registration precision can be further improved through a two-stage optimization strategy of centroid alignment and main shaft rotation.

The present invention provides a MEMS structure and a preparation method thereof, a MEMS piezoelectric microphone. The MEMS structure comprises: a substrate, comprising: an outer substrate ring body; a substrate back cavity formed inside the substrate outer ring body; a vibration support layer formed above the substrate outer ring body and the substrate back cavity; a piezoelectric composite layer, comprising: a lower electrode layer, a piezoelectric layer, and an upper electrode layer, the three being formed in sequence above the vibration support layer, and the horizontal plane projection of the piezoelectric layer is located in the middle area of ​​the horizontal plane projection of the substrate back cavity; wherein, in the horizontal direction, the vibration support layer comprises: a connection stabilization area and a vibration enhancement area, the connection stabilization area being the area corresponding to the edge position of the piezoelectric layer; the vibration enhancement area being the area away from the edge position of the piezoelectric layer; the connection stabilization area protruding downward in a ring shape, and its thickness H1 is greater than the thickness H2 of the vibration enhancement area. While taking into account the reliability of the MEMS structure, the present invention improves the sensitivity of the device.

The invention discloses an adaptive shadow generation method based on planar projection guidance and depth perception diffusion, and belongs to the technical field of computer vision and image synthesis. The method comprises the following steps: in a first stage, generating a hard shadow mask of a foreground object under a virtual light source through physical projection calculation, and providing geometric position and shape priori; in the second stage, multi-modal conditions such as a hard shadow mask, a background depth image and a foreground and background fusion image and noise latent variables are uniformly coded into a Token sequence, the Token sequence is input into a Diffusion Transform model, detail rendering is carried out through a self-attention mechanism, and a composite image with a realistic shadow is output. According to the method, the problems of shadow geometric distortion, inconsistent illumination, insufficient texture fitting and the like in the prior art are solved through a mixed frame combining physical guidance and neural rendering.

The invention relates to the technical field of air traffic management, in particular to an analog simulation method and system for a low-altitude traffic digital twin platform, and the method comprises the steps: obtaining a road plane projection drawing of a target area from the digital twin platform, the road plane projection drawing comprises buildings, roads and backgrounds, and dividing each road into a plurality of road sections; determining a risk cardinal number of the road section; determining the risk weight of the aircraft reaching each road section based on the intersection point between the road sections, the length of each road section and the real-time wind speed of the target area; and determining the comprehensive weight of each road section by using the risk weight, the risk cardinal number and the distance weight of each road section, and determining the final shortest path of the aircraft from the starting point to the terminal point in the target area according to the comprehensive weight. Therefore, the reliability and the safety of the shortest path planning of the aircraft are improved.

Simplified rendering of six-degree-of-freedom video is provided. Embodiments described herein provide techniques to reduce the complexity of rendering immersive 3D video content. One embodiment provides an apparatus comprising one or more processors to receive a data set representing a two-dimensional code of a planar projection of a frame of three-dimensional video, decode the two-dimensional code into texture data, geometry data, and metadata, a visibility state and an occupancy state of a sample location in the three-dimensional video are determined based on the metadata, and video data for the sample location is rendered when the sample location is visible and occupied.

The application relates to the technical field of target detection, in particular to a space passable area detection method and device, a detection equipment and a storage medium, wherein the method comprises the following steps: obtaining three-dimensional point cloud data and an environment image of a target area; performing plane projection and view cone projection on the three-dimensional point cloud data respectively to obtain multiple surface features and view cone projection features; fusing the multiple surface features and the view cone projection features to obtain a space feature map; fusing the space feature map and the environment image under the same time and space to obtain a fused feature map; inputting the fused feature map into a trained detection model; and outputting a space passable area of the target area. Thus, the related art is generally used for detecting and identifying grounded obstacles, pedestrians, vehicles and the like, and the resolution and generalization are not strong, the spatial position of the obstacle cannot be accurately determined, and the problems of avoiding collision and causing accidents and the like are solved.

The invention relates to an early warning constellation k-means clustering method oriented to multiple targets. The invention relates to the technical field of spaceflight early warning constellation systems and multi-target clustering, and the method comprises the steps: obtaining target information, converting three-dimensional space coordinate information into two-dimensional space coordinate information through a visual plane projection method, and building a projection coordinate system; designing an initial value selection method of k-means clustering, and enabling the distribution of initial clustering centers to be relatively uniform; an outlier detection mechanism of a clustering target is designed, and class cluster division occupied by outliers is reduced; through plane projection, optimization k-means clustering, outlier detection and center detection methods, independent class cluster division of each satellite to a target group in a constellation is obtained. According to the method provided by the invention, the target group cluster division can be quickly obtained when the low-orbit early warning constellation faces more ballistic targets, so that the target coverage capability of the early warning constellation is improved.

The invention relates to the technical field of surveying and mapping engineering, in particular to a lead precision estimation system which comprises a data acquisition module, a coordinate conversion module, a lead design module, a precision estimation module, a visual display module, a data interaction module and a data storage module. The data acquisition module collects geographic space data of a to-be-processed area and parameters of a measuring instrument; the coordinate conversion module converts the latitude and longitude coordinates into plane projection coordinates through Gaussian positive calculation; the wire design module constructs an edge measurement net, an angle measurement net or a corner net, sets an edge length threshold value, and matches instrument parameters corresponding to a second-level control net and a fourth-level control net; the precision estimation module calculates a weakest point median error and a weakest edge relative median error, and decomposes and calculates a plane through error; the visualization module draws a lead element and an error ellipse on the online map; data interaction supports CSV format import and export, and the storage module stores data support operation through a unified array. The method improves the estimation efficiency and precision, adapts to multiple engineering scenes, and reduces the achievement application threshold.

This invention discloses a method and apparatus for extracting three-dimensional deformation data of mining subsidence in desert areas, relating to the field of Earth observation technology. The invention calculates the angle between the normal vectors of each point in the point cloud data and performs tangent plane projection analysis to form multiple pairs of point cloud contour sets. The overall approach is based on the local geometric characteristics of the point cloud, accurately extracting feature points reflecting the shape of the point cloud contours. Then, using these multiple pairs of point cloud contour sets as registration objects, the K-4PCS and VGICP registration algorithms are employed to register the three phases of point cloud data, ensuring precise alignment and obtaining the registered point cloud and transformation matrix. The three-dimensional deformation of the land surface is extracted from the transformation parameters in the transformation matrix. This process eliminates the need for subsidence extraction based on point DEMs and planar displacement extraction based on rigid body matching, enabling accurate extraction of planar displacement in desert areas and precise acquisition of three-dimensional deformation data of the land surface caused by mining in desert regions.