34 results about "Surface mapping" patented technology

The invention discloses a curved surface mapping track optimization and multi-modal force control method for complex wall surface polishing. The method can efficiently meet the polishing requirement of a complex curved surface. A polishing track is determined by introducing a projection technology, a path optimization model is constructed, and multi-node force fusion attitude control is combined, so that interpolation point calculation and attitude change and position planning matching are realized, and a robot polishing path including a polishing position, an attitude and adjustment parameters is effectively generated. According to the multi-mode force control method, a force control mode is dynamically adjusted by combining radial height state switching of state classification of convex and concave path sections; multi-node fusion attitude control is further introduced, the surface contact force of a sand disc is accurately tracked, the tail end attitude of the robot is dynamically adjusted to follow the curved surface characteristics, the problems of irregular curved surfaces, unstable force control and the like in the traditional grinding technology are solved, and the method can be widely applied to automatic efficient grinding operation in the fields of buildings, ships and the like; and efficient and high-precision grinding of the complex curved surface is achieved.

System and method for lidar-based anatomical mapping is provided. In one implementation, a LIDAR imaging technology is utilized to create a surface-based anatomical map of an exposed anatomical surface of at least a portion of the spine, or other anatomical features, using anatomical and / or artificial landmarks are disclosed. The surface mapping can then be registered with previously acquired images of at least the portion of the spine, or other anatomical features. The surface mapping can then be used to identify important structures, including an entry point in tissue (including soft tissue and bone) for the placement of a medical instrument or implant, or for Information the orientation of a medical instrument or device. The information can be displayed in an augmented reality overlay on a device display (e.g., wearable eyeglasses). The LIDAR imaging technology may be incorporated into wearable eyeglasses.

A concrete surface processing machine (100) for processing a concrete surface, wherein the concrete surface processing machine is arranged to be supported on the concrete surface by one or more support elements (150) extending in a base plane (101) of the machine parallel to the concrete surface, wherein the concrete surface processing machine is arranged to rotate (R) about an axis (C) normal to the base plane (101) by the one or more support elements (150), wherein the concrete surface processing machine comprises control unit (110) connected to at least one laser range finder (120) arranged pointing in a fixed direction from the concrete surface processing machine, and wherein the control unit (110) is arranged to determine a boundary geometry of the concrete surface based on a sequence of ranges obtained by the laser range finder (120).

The invention relates to the technical field of unmanned ship surveying and mapping, in particular to a mud flat topography surveying and mapping method and system based on a water surveying and mapping unmanned ship, and the method comprises the following steps: S1, setting the area range of mud flat topography surveying and mapping; s2, collecting spectral information of different wavebands to generate water surface feature data of water surface brightness, texture and coverage states; s3, obtaining topographic data of the bottom of the mud flat, and carrying out real-time calibration on the sonar data; s4, performing manifold alignment on the water surface feature data and the sonar water bottom data; s5, constructing a three-dimensional terrain model of the mud flat area; and S6, comparing the generated three-dimensional terrain model with historical surveying and mapping data, and dynamically adjusting the terrain model through an adaptive calibration algorithm. According to the invention, through autonomous navigation, real-time data calibration and multi-dimensional data fusion technologies, high-precision, dynamic and visual surveying and mapping of the mud flat terrain are realized, and the data acquisition stability and the accuracy of the terrain model are improved.

The invention relates to the technical field of metal processing, and discloses a simulation method for the grinding surface topography of a mixed-particle-size CBN (Cubic Boron Nitride) grinding wheel. Grinding wheel workpiece motion parameters and abrasive particle geometric parameters are set, a to-be-processed workpiece and a mixed particle size grinding wheel are simulated, and a trajectory equation of a certain abrasive particle under a global coordinate system is determined based on a workpiece surface analysis domain, the grinding wheel workpiece motion parameters and the abrasive particle geometric parameters; according to the trajectory equation, obtaining a trajectory scatter coordinate matrix of the mapping relation between the area where a certain abrasive particle is located and the workpiece surface, and mapping to obtain a minimum coordinate value; the track scatter coordinate matrixes corresponding to all the abrasive particles are mapped repeatedly, and the surface roughness of the workpiece is obtained based on all the coordinate minimum values; and the surface roughness of the workpiece is compared with the preset roughness, the geometrical parameters of the abrasive particles are adjusted based on the comparison result until the obtained surface roughness of the workpiece is smaller than the preset roughness, and the problem that the abrasive particle diameter ratio and the abrasive particle density ratio of an existing mixed particle size grinding wheel are unreasonable in design is solved.

This invention provides an automatic calibration method and apparatus for a ship panoramic surround view system based on UAV collaboration and 3D surface mapping. A virtual 3D surface projection model is established in the ship's coordinate system, and the surface normal vectors of sampling points on this model are mapped outwards to generate the UAV's flight trajectory. The UAV, equipped with an RTK positioning module, acts as a dynamic calibration target with precise three-dimensional coordinates as it flies along this trajectory, its spatial distribution naturally matching the geometry of the surface projection model. During flight, images from the UAV are simultaneously acquired by the ship's onboard camera, and pixel coordinates are extracted using a target detection algorithm. Simultaneously, the time synchronization data between the UAV and the ship's onboard RTK module is used to establish the correspondence between pixel coordinates and three-dimensional coordinates in the ship's coordinate system, minimizing reprojection errors and jointly calculating the extrinsic parameters of each camera. This eliminates the dependence on fixed planar references on shore, enabling automated calibration with precise adaptation to the 3D surface projection model in any water area.

Systems and methods for mapping a planar surface to a curved surface. One such method comprises providing a planar lattice pattern having identical regular polygon shapes which can be truss support modules for supporting a curved surface structure. Method further include determining respective positions of the nodal points of the identical polygon shapes by placing a starting nodal point on an axis of symmetry of the planar lattice pattern and iteratively positioning each nodal point in relation to already placed neighboring nodes to make a distance between a currently positioned nodal point optimally close with a set value of the planar lattice pattern. Method still further comprises forming a curved lattice pattern of the truss support module based on the positions of the nodal points of the identical polygon shapes.

A method for mapping a surface using signals transmitted from a single transmitter comprises: receiving signals transmitted from the single transmitter, where each signal has a different propagation path; determining a motion of an antenna of the receiver; generating phasor sequences, where each phasor sequence represents a hypothesis based on antenna motion and a direction of arrival estimate for each received signal; compensating the received signals, local signals, or correlation results from correlating the received signals with the local signals using the phasor sequences based on the hypotheses to generate compensated correlation results; determining a preferred hypothesis in the hypotheses for each received signal that optimizes each correlation result; identifying a direction of arrival for each received signal using the determined hypothesis; determining a point of reflection from the direction of arrival of each received signal; and combining the points of reflection into one or more reflective surfaces.

Methods, systems, and apparatus, including medium-encoded computer program products, for computer aided design and manufacture of a part by three-dimensional surface pattern generation, include: receiving input identifying (i) a pattern type, (ii) a three-dimensional feature to be used to modify a three-dimensional part, and (iii) a surface of the three-dimensional part being designed; generating varied copies of the three-dimensional feature in a three-dimensional space in which the three-dimensional part is defined, wherein an aspect of the three-dimensional feature varies for at least two of the varied copies of the three-dimensional feature in accordance with a function that is applied for the pattern type, and at least a portion of a range of the function is mapped to the three-dimensional space in accordance with the surface; and rendering a visualization of the varied copies of the three-dimensional feature to a display device presenting a user interface.

AutoWrap Robotics is an AI-driven software platform enabling autonomous surface treatments—such as PPF, vinyl wraps, ceramic coatings, window tinting, and custom graphics—on vehicles, watercraft, and buildings. It integrates real-time 3D surface mapping, machine learning, and automated multi-tool switching to perform complex tasks with minimal human input. The system supports gantry robots, articulated arms, mobile platforms, and humanoid robots like Tesla Optimus and Figure AI, offering scalable, flexible control. Cloud-based intelligence powers fleet-wide optimization, allowing shared data to continuously improve motion paths, defect correction, and alignment. This ensures consistent quality and precision across high-volume applications, including branded fleets and commercial installations. By uniting AI-driven planning with robotic dexterity, AutoWrap Robotics delivers high-quality film and coating applications in both controlled and remote settings—without requiring custom hardware. This lowers deployment time, reduces operational costs, and positions the platform as a scalable solution for automated surface treatment at industrial scale.

A method and system for determining a location of artefacts and / or inclusions in a gemstone, mineral or sample thereof, the method comprising: surface mapping a gemstone, mineral or sample thereof to determine surface geometry associated with at least a portion of a surface of the gemstone, mineral or sample thereof; sub-surface mapping the gemstone, mineral or sample thereof using an optical beam that is directed at the surface along an optical beam path, wherein the optical beam is generated by an optical source using an optical tomography process; determining a surface normal at the surface at an intersection point between the optical beam path and the determined surface geometry; determining relative positioning between the surface normal and the optical beam path; and determining the location of artefacts and / or inclusions in the gemstone, mineral or sample thereof based on the sub-surface mapping step and the determined relative positioning.

This invention relates to a mapping method and system based on remote sensing big data analysis, comprising: acquiring multimodal data of the mapping area; verifying images through a dual-channel pollutant detection mechanism to obtain pollution source characteristic indicators; the multimodal data includes three-dimensional environmental data, real-time sensor data, and biological behavior characteristic data; determining whether pollution exists in the mapping area based on the pollution source characteristic indicators; if pollution exists, initializing dust diffusion parameters of the pollution diffusion model based on the pollution source characteristic indicators; constructing a biological feature library based on the multimodal data; correcting the pollution diffusion model using the motion trajectory characteristics of the biological feature library; identifying biological interference types; and outputting surface mapping data; extracting vegetation adsorption characteristics based on the multimodal data; optimizing dust diffusion parameters based on the vegetation adsorption characteristics; outputting predictive control strategies; and updating the biological feature library.

A well system includes a surface installation provided at a well surface location, a wellbore extending from the surface installation and providing an open hole section, a bore mapping device conveyable into the wellbore on a conveyance and including a bore surface mapping sensor operable to sense a surface of the open hole section as the bore mapping device traverses the wellbore, and an obstruction sensor arranged at a downhole end of the bore mapping device and operable to sense obstructions within the wellbore. A data acquisition system is in communication with the bore mapping device to receive data generated by the bore surface mapping sensor and the obstruction sensor and is operable to create a three-dimensional model of the open hole section of the wellbore.

A method is provided for manufacturing a security document by intaglio-printing a rendering of a three-dimensional object on the security document. The method comprises at least the following: S1) providing a model (1) of the object with a plurality of surfaces (A, B, C, D) in three-dimensional space; S2) attributing, to each point on the surfaces (A, B, C, D), a grayscale or color value; S3) using mapping functions (M) for mapping the surfaces (A, B, C, D) into two-dimensional parameter spaces, thereby defining grayscale or color images (2) in the parameter spaces, wherein the grayscale or color value of each point in said images is given by the grayscale or color of the point on the surface corresponding to the point of the image; S4) rendering, in the parameter spaces, the grayscale or color images (2) as halftone images (3) using halftone patterns, wherein at least some of the halftone patterns are different from each other; S5) using inverses of the mapping functions for mapping the halftone images (3) as textures onto the surfaces (A, B, C, D); S6) projecting the model with the surfaces (A, B, C, D) carrying the textures into a two-dimensional printing plane using a three-dimensional projection (P), thereby projecting said halftone images (3) and textures into the printing plane; S7) rendering, within the printing plane, the surfaces (A, B, C, D) with the textures into a two-dimensional array of printing pixels and forming an intaglio printing plate (5) with recesses corresponding to the array of the printing pixels; and S8) printing, using the intaglio printing plate (5), the rendering of the three-dimensional object onto said security document.

A method and system for determining a location of artefacts and / or inclusions in a gemstone, mineral or sample thereof, the method comprising the steps of: surface mapping a gemstone, mineral or sample thereof to determine surface geometry associated with at least a portion of a surface of the gemstone, mineral or sample thereof; sub-surface mapping the gemstone, mineral or sample thereof using an optical beam that is directed at the surface along an optical beam path, wherein the optical beam is generated by an optical source using an optical tomography process; determining a surface normal at the surface at an intersection point between the optical beam path and the determined surface geometry; determining relative positioning between the surface normal and the optical beam path; and determining the location of artefacts and / or inclusions in the gemstone, mineral or sample thereof based on the sub-surface mapping step and the determined relative positioning.

Disclosed is a coverage path planning method for multiple unmanned surface mapping vehicles, comprising: simultaneously creating submaps and an overall map; outputting its own position information and obstacle information, transmitting toBLliand updatingBLlm;defining a behavior strategy list (BS); determining the BS with priority for path planning, outputting a to or th state if any criterion is satisfied; when trapped in a local optimum, updating map layers layer-by-layer going upwards, searching for tp in the corresponding layers, performing a BS determination, and outputting a tr instruction; if no target point is found even at the highest layer, checking each CSP<sub2>i< / sub2>∈{FNi,UFNi}, and determining a termination. As such, the coverage rate and coverage effect of multiple unmanned surface mapping vehicles in a complex environment can be increased, thus increasing the operational efficiency of the unmanned surface mapping vehicles.

The invention relates to a spatial data laneway modeling method based on PostGIS, and the method comprises the steps: determining a laneway cross key surface for two crossed laneway sections based on all laneway boundary points and laneway arch section boundary points of the two laneway sections; aiming at the three crossed roadway sections, for each roadway section, determining a roadway key surface according to the roadway boundary points and the roadway arch section boundary points; adopting a PostGIS spatial database to obtain a roadway cross key surface based on the three roadway key surfaces; and combining and rendering the roadway cross key surfaces to obtain a three-dimensional roadway model. According to the method, the key surface of the roadway wall is automatically generated in a data driving mode, and then surface mapping rendering is performed, so that the problems of long time consumption and incomplete roadway data of a 3D modeling method are avoided, rapid updating of the roadway model is realized, and meanwhile, the data modeling efficiency is optimized.

The utility model discloses an irregular curved surface surveying and mapping device based on laser ranging. The irregular curved surface surveying and mapping device comprises a laser range finder, a central rotating shaft, a rotating pointer and an angle dial, wherein the laser range finder, the central rotating shaft and the rotating pointer are fixedly arranged on the angle dial; the two laser range finders are horizontally and vertically arranged on the angle dial respectively and are used for measuring the distance between a measuring dot and a measuring point on a measured curved surface in the horizontal direction and measuring the vertical distance between the measured curved surface and the ground; one side of the rotating pointer is fixed with the central rotating shaft, the other side of the rotating pointer is arranged at the edge of the angle dial, the rotating pointer is rotated to form a certain angle with the zero line of the angle dial and then is locked, measurement is started, the angle and distance are recorded, the angle is changed to obtain a plurality of measuring points, a measured curved surface is further fitted, and the measured curved surface is measured by adjusting the vertical elevation of a measuring dot. And obtaining a plurality of curved surfaces with different elevations, and fitting the plurality of curved surfaces into a three-dimensional irregular curved surface. The surveying and mapping device is simple and reliable in operation.

The invention relates to the technical field of industrial automation control and intelligent manufacturing, in particular to an automatic workpiece spraying control system based on machine learning. A manifold space construction module, a time delay compensation prediction module, a potential energy field synthesis module and a gradient flow guide control module are included; the system maps the surface of the workpiece into a Riemannian manifold, and predicts coating flight time lag and landing distribution by using a physical information neural network; the core of the method is that a virtual coating potential energy field is constructed in combination with future thickness increment, and a robot motion vector is solved in real time according to a potential energy gradient; according to the invention, by introducing the hydrodynamic constraint, the advanced feedback decision based on the future total thickness is realized, the control deadlock caused by physical time lag is effectively eliminated, and the spraying uniformity and stability are ensured.

The present invention relates to the field of laser processing technology, in particular to a laser processing method and system based on Bezier curve surface mapping. This solution maps the complex surface A1 of the area to be processed into the Bezier surface based on Bezier curve surface mapping, guides the high-energy focused light spot of laser processing to realize processing trajectory planning and adaptive laser processing operations for various complex surface shapes on the complex surface A1 in three-dimensional space, improves the degree of automated maintenance operations, and ensures the consistency of quality after maintenance; at the same time, the present invention calculates the coordinates and tangential trajectory of the moving point P of the laser focused light spot in real time based on the Bezier curve surface mapping method, controls the laser processing head to perform adaptive adjustment of the posture angle along the tangential trajectory, and ensures that the focused light spot formed by the irradiation of the high-energy laser beam during the laser processing operation will not be defocused due to the problem of the incident angle of the laser beam, resulting in changes in energy intensity that affect the laser processing quality.

A kind of oil pipeline fast detection equipment suitable for complex sea area, it is related to submarine pipeline detection technical field, including the stable base at the side of oil pipeline, the embracing mechanism that is provided with with oil pipeline on stable base, walking mechanism that is provided with with pipeline on stable base, surface mapping mechanism that is provided with with oil pipeline at the rear end of stable base;The embracing mechanism includes angle limiting assembly arranged in arc-shaped receiving groove, angle limiting assembly is provided with rotating semicircle, and angle limiting assembly is provided with rotating unit with rotating semicircle cooperation, and the both ends of rotating semicircle are provided with with oil pipeline cooperation limiting buckle.The present application can realize the accurate description and positioning to the deformation defect of pipeline outer wall by its unique structure design, can adapt to the detection demand of complex sea area simultaneously, improve detection efficiency and accuracy, guarantee the economic interests and life and property safety of country and people.

The present invention discloses a method for autonomous asteroid exploration and mapping using visually guided reinforcement learning, which belongs to the field of deep space exploration technology and includes the following steps: (1) acquiring the detector state and the asteroid surface image; (2) using the acquired detector state and the asteroid surface image to update the parameters of a neural radiation field model, mapping the asteroid surface using the neural radiation field model and estimating the mapping uncertainty; (3) using a reinforcement learning model to make decisions on detector flight adjustments based on the detector state, the asteroid surface image, and the mapping uncertainty estimated by the neural radiation field model; and (4) evaluating the reinforcement learning decision effect and optimizing the reinforcement learning model parameters. This method achieves simultaneous asteroid surface mapping and flyby decision-making by fusing the neural radiation field model and the reinforcement learning model, which can improve the autonomous capability of the detector during the asteroid flyby process.

An optimized coverage-path planning method for a single unmanned surface mapping vessel (USMV) is implemented with a system including a computer processor executing a computer program loaded in a storage device and implanting the method. The method includes rasterizing and initializing an environmental map, and an unmanned vessel outputting position data and obstacle data according to the environmental map so that path planning is started to provide a target point to the unmanned vessel. In case of tripping in a local optimum at a current-level map for the target point, the map level is updated in an ascending order until the highest level, in order to identify a map level in which the target point is found.

This invention discloses a clothing defect detection system and method based on image analysis, relating to the field of image analysis. The method includes: segmenting and extracting the foreground and contours of a multi-view clothing image set to generate a foreground mask set and a contour point set; mapping the foreground mask set and contour point set to a full-piece garment image, reconstructing it, and then dividing the garment into three-dimensional surfaces to generate a three-dimensional garment surface model and a set of garment surface mapping relationships; performing a first clothing defect identification based on the garment three-dimensional surface model and the set of garment surface mapping relationships to generate structural regions of clothing defects; performing a second clothing defect identification on the structural regions of clothing defects, and generating a clothing defect detection report. This invention reduces the impact of imaging distortion and viewing angle changes on defect detection results, improves defect detection capabilities, and facilitates quality traceability.

This invention relates to the field of medical image 3D reconstruction and fusion technology, specifically a method and system for multimodal medical image fusion and 3D reconstruction, comprising: receiving and standardizing raw image data streams from different devices; extracting intensity and texture features of each modality of image, constructing a feature space mapping relationship, and generating a fused volume data field based on this using a feature-level fusion strategy; after filtering and enhancing the volume data, extracting isosurface geometric meshes and simplifying and smoothing them to obtain a preliminary 3D model surface; mapping the preliminary surface back to the volume data space, and performing surface detail optimization and topology correction; and finally outputting a 3D reconstructed model integrating complementary information from multiple modalities. This invention improves the information integration and geometric accuracy of the reconstructed model by performing deep fusion in the feature space and employing a closed-loop optimization mechanism of surface-volume data back-mapping.

A well system includes a surface installation provided at a well surface location, a wellbore extending from the surface installation and providing an open hole section, a bore mapping device conveyable into the wellbore on a conveyance and including a bore surface mapping sensor operable to sense a surface of the open hole section as the bore mapping device traverses the wellbore, and an obstruction sensor arranged at a downhole end of the bore mapping device and operable to sense obstructions within the wellbore. A data acquisition system is in communication with the bore mapping device to receive data generated by the bore surface mapping sensor and the obstruction sensor and is operable to create a three-dimensional model of the open hole section of the wellbore.

The present invention discloses a GPU parallel processing method for inverse solution of product NURBS surface mapping. A given NURBS surface, UV plane, and three-dimensional point group of the product are input; the intermediate matrix of each segment of the NURBS surface is calculated in parallel using the GPU and stored in the GPU; a subdivision tree of the NURBS surface is constructed in parallel using the GPU and stored in the GPU; and each three-dimensional point in the three-dimensional point group to be mapped and the subdivision tree are processed in parallel using the GPU to obtain the two-dimensional feature point corresponding to each three-dimensional point on the UV plane. The present invention utilizes two methods, surface subdivision method and Newton iterative numerical method, to solve the problem of feature point mapping of the product NURBS surface, optimize the representation of the NURBS surface, and improve the convergence speed of the product surface algorithm while ensuring the acquisition of the global optimal solution.

An online system maintains a catalog of items and allows client applications to access variations of items from the catalog. A particular variation of items of the catalog is referred to as a catalog surface. The online system determines a catalog surface corresponding to a request for items received from a client application. The system identifies attribute values of the requested items that correspond to the catalog surface. Different client applications can access different variations of the attribute value for the same item corresponding to different catalog surfaces. The system maintains a surface-to-surface mapping to process data for sparsely populated catalog surfaces. If attribute values for a sparse catalog surface are not available, the system identifies an alternate catalog surface from the surface-to-surface mapping and uses values from the alternate catalog surface.

This invention relates to the field of metal processing technology and discloses a simulation method for the surface morphology of grinding with mixed-size CBN grinding wheels. The method involves setting workpiece motion parameters and abrasive geometric parameters, simulating the workpiece and the mixed-size grinding wheel, and determining the trajectory equation of a specific abrasive grain in the global coordinate system based on the workpiece surface analysis domain, workpiece motion parameters, and abrasive geometric parameters. The method then obtains the trajectory scatter point coordinate matrix showing the mapping relationship between the region containing the abrasive grain and the workpiece surface, and maps and obtains the minimum coordinate value. This mapping process is repeated for all abrasive grains, and the workpiece surface roughness is obtained based on all minimum coordinate values. Finally, the workpiece surface roughness is compared with a preset roughness, and the abrasive geometric parameters are adjusted based on the comparison results until the obtained workpiece surface roughness is less than the preset roughness. This method solves the problem of unreasonable abrasive grain size ratio and abrasive density ratio design in existing mixed-size grinding wheels.

The application is suitable for the technical field of laser precision machining, and provides a multi-axis linkage laser superfinishing method and equipment. The method comprises the following steps: determining a first laser track and a second laser track according to the processing requirements of micro-nano texture processing or hard and brittle material polishing; performing red-ultraviolet double-beam ultrafast laser layer-by-layer removal processing on a target surface by using a first laser moving along the first laser track and a second laser moving along the second laser track, to obtain a polished hard and brittle material workpiece or a workpiece after micro-nano texture processing; the application utilizes red-ultraviolet double-beam ultrafast laser layer-by-layer removal processing, is compatible with laser precision polishing and micro-nano texture processing of high brittle and hard materials, overcomes the problem of insufficient processing precision in the prior art by means of infrared laser preheating and rough processing and ultraviolet laser cold processing, and realizes superfinishing; in addition, the texture processing part can realize controllable texture processing with less distortion by parameterized surface mapping and gradient field encoding to solve Poisson equation.