14 results about "Surface mapping" patented technology

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).

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.

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.

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.

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 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 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.

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.

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 discloses a method and system for path planning in 3D surface printing. The method includes: surface scanning, using a 3D laser scanner to scan the target surface; point cloud data preprocessing, preprocessing and optimizing the original point cloud data; model design, designing the model of the product to be printed and exporting it as point cloud data as the base point cloud data for registration; surface mapping, registering the base point cloud data of the model to be printed with the target point cloud data of the scanned surface model, mapping the planar model onto the surface; Z-axis coordinate change calculation, calculating the change of the Z-axis coordinate with the surface height during printing on the surface; and path planning, performing path planning processing on the point cloud data obtained after surface mapping, sorting the coordinates according to priority based on the required path to obtain the coordinates of each point on the complete printing path. This invention can improve the accuracy and detail of 3D printing.