18 results about "Surfel" patented technology

An example method includes obtaining a LIDAR scan including a plurality of LIDAR points. The LIDAR scan being descriptive of an environment of an autonomous vehicle. The method includes obtaining a surfel map descriptive of the environment. The surfel map includes a plurality of surfels. The method includes classifying each of the plurality of LIDAR points as an explained LIDAR point or an unexplained LIDAR point based on an alignment of the LIDAR scan to the surfel map, wherein an explained LIDAR point is a LIDAR point that matches a surfel in the surfel map. The method includes shifting the LIDAR scan along a longitudinal direction for a plurality of iterations. The method includes determining a longitudinal bias for each of the plurality of iterations. The method includes performing an operation for the autonomous vehicle based on the longitudinal bias.

The invention discloses a text-to-three-dimensional surface generation method and system based on a two-dimensional Gaussian surface element, and belongs to the technical field of three-dimensional reconstruction, and the method comprises the steps: representing a three-dimensional object surface as a Gaussian surface element on a local tangent plane; receiving a text description, generating normal diagrams and texture diagrams of a plurality of visual angles based on a pre-training text-to-image diffusion model, and generating a preliminary background mask at the same time; determining the center of sphere and the maximum radius according to the extrinsic parameters of the camera, and randomly generating Gaussian surface elements in the spherical range; removing the surface elements falling in the preliminary background mask area; on the basis of a two-dimensional Gaussian dot drawing renderer, the normal graph and the texture graph are rendered from multiple perspectives, and curvature consistency regular loss and surface convergence constraint loss are calculated; geometric and texture parameters of Gaussian surface elements are optimized through back propagation, iteration is carried out until convergence, and a final three-dimensional model is output. According to the method, the high-fidelity three-dimensional surface can be generated from the text without SfM (Structural Recovery Motion) initialization, and the method has relatively high geometric consistency and generation speed.

The data processing method can be applied to a communication perception integrated system, and the method comprises the steps that a first device sends a reconstruction instruction and a reconstruction quality requirement to at least one second device, the reconstruction instruction is used for instructing point cloud data of a perception target surface to be reconstructed into a surface element, and the reconstruction quality requirement is used for instructing a quality parameter of the reconstructed surface element; and the second device reconstructs the target point cloud data into a surface element according to the reconstruction indication and the reconstruction quality requirement, and then sends the surface element to the first device. Because the surface elements are formed by specific vertexes according to a certain topological connection relation, a grid formed by the surface elements reduces many points relative to target point cloud data, and the reconstructed surface elements are constrained by quality parameters of the reconstructed surface elements, so that actual scene requirements can be met. In this way, under the condition that the actual scene requirement is met, compared with point cloud data sending, the second device sends the surface element to the first device, the data transmission amount is reduced, and the data storage amount of the first device is also reduced.

The application discloses a single-view human body three-dimensional reconstruction method based on a Gaussian surface element, and comprises the following steps: collecting image data from multiple human body data sets, pre-processing the image data according to the corresponding data characteristics of the image data by adopting a targeted preprocessing strategy, and obtaining a processed human body data set; constructing a human body 3D Gaussian attribute prediction model, wherein the human body 3D Gaussian attribute prediction model comprises a hierarchical feature extraction module, a feature fusion network and a 3D Gaussian function decoder; training the human body 3D Gaussian attribute prediction model based on the processed human body data set, and obtaining a trained human body 3D Gaussian attribute prediction model; and performing three-dimensional reconstruction on an input human body picture based on the trained human body 3D Gaussian attribute prediction model, and outputting a reconstructed human body three-dimensional image. The application greatly reduces the cost of virtual digital human production, and improves the efficiency and accuracy of constructing a dynamic human body model.

This invention discloses a fuze target matching and adaptive detonation height control method, belonging to the field of fuze electronic countermeasures technology. The implementation method of this invention is as follows: The relative velocity is obtained based on detection information, and then the optimal activation delay τ is calculated based on the target's two-dimensional image. opt Optimal startup delay τ opt The goal is to minimize the total detonation deviation of each surface element of the target. Combining the near-field two-dimensional imaging results of the target with the fuze's target, the target centroid is estimated by weighting the grayscale of the near-field extended target's two-dimensional image, and the detonation height is designed based on the target centroid. A convolutional neural network for target matching and recognition is constructed. Based on the probability of target classification output by the convolutional network, a fuze detonation height decision risk factor is designed, and a minimum-risk detonation height decision model is established. The optimal detonation height is adaptively selected according to the minimum-risk principle, thereby achieving adaptive detonation height control for known or unknown targets in complex environments and effectively improving the fuze's accuracy in estimating the detonation height of near-field extended targets.

The application provides a three-dimensional mesh generation method based on patch autoregressive compression and an electronic device. The three-dimensional mesh generation method based on patch autoregressive compression comprises the following steps: converting an input three-dimensional shape representation into an ordered triangular patch sequence, wherein each triangular patch is defined by the coordinates of its three vertices; using a shape encoder to encode the input three-dimensional shape representation into a latent representation; using an autoregressive decoder to generate each triangular patch in the ordered triangular patch sequence one by one in sequence, with the latent representation as a condition, thereby generating a three-dimensional mesh. By representing a three-dimensional mesh as an ordered patch sequence and performing autoregressive generation, the modeling granularity is improved from the bottom vertex coordinates to the high-level triangular patch. The model can directly learn and generate the topological structure of the mesh, significantly improving the ability to capture the geometric structure and topological relationship of the mesh, thereby achieving the purpose of improving the generation quality and efficiency.

The application belongs to the technical field of image processing, and particularly relates to an MES process management and control method and system for circuit breaker production, which comprises the following steps: constructing a process feature dictionary model library, including a good product gradient dictionary and a defect gradient dictionary; receiving a verification instruction sent by a manufacturing execution system, performing hierarchical anchoring to locate and extract a real-time key feature area; extracting a surface element in the real-time key feature area, calculating good product data energy and defect data energy according to a local gradient feature vector of the surface element; adjusting spatial smoothing energy according to label consistency and local edge direction of adjacent surface elements, defining and optimizing a system total energy function containing data energy and spatial smoothing energy, and generating a globally optimal label field; generating a process defect score according to the globally optimal label field, and feeding back to the manufacturing execution system to perform process management and control closed loop. The application improves the accuracy of defect detection and realizes automatic management and control of the production process.

The disclosed technology provides solutions for improving virtual object representation in a simulated (or virtual) environment and in particular, provides solutions for rendering surfel representations of real-world objects into a simulated environment using point cloud data. In some aspects, the disclosed technology includes a process for receiving a plurality of Light Detection and Ranging (LiDAR) points corresponding with a real-world object, determining, for each of the plurality of LiDAR points, an image texture based on the real-world object, and generating a surfel object representing the real-world object. In some aspects, the process further includes steps for inserting the surfel object into a simulated three-dimensional (3D) environment. Systems and machine-readable media are also provided.

The application provides an underwater multi-modal intelligent sensing method for a mariculture, comprising the following steps: an underwater multi-modal detection module based on YOLO, introducing a sonar sensing mode, and constructing a dynamic self-adaptive multi-modal sensing system; performing semantic SLAM and dense coarse mapping; the process of performing semantic SLAM and dense coarse mapping comprises: preprocessing, initialization and joint optimization of visual-inertial data, dense mapping based on a surface element, and semantic fusion mapping; performing physically driven 3DGS fine reconstruction, comprising: initial 3DGS modeling and underwater medium estimation and compensation; and outputting a multi-scale semantic map. The application embeds a physical imaging model into a 3DGS rendering process, iteratively estimates attenuation coefficients and scattering parameters, and improves the color fidelity of the reconstructed scene. The reconstruction loss of the compensated image and the original image is significantly reduced compared with the traditional method.

The invention belongs to the technical field of image processing, and particularly relates to an MES process management and control method and system for circuit breaker production, and the method comprises the steps: constructing a process feature dictionary model library which comprises a good product gradient dictionary and a defect gradient dictionary; receiving a verification instruction sent by the manufacturing execution system, and executing hierarchical anchoring to position and extract a real-time key feature region; extracting surface elements in the real-time key feature region, and calculating good product data energy and defect data energy according to local gradient feature vectors of the surface elements; adjusting spatial smoothing energy according to label consistency of adjacent surface elements and a local edge direction, defining and optimizing a system total energy function containing data energy and the spatial smoothing energy, and generating a global optimal label field; and generating a process defect score according to the global optimal label field, and feeding back the score to the manufacturing execution system to execute a process control closed loop. According to the invention, the accuracy of defect detection is improved, and automatic control of the production process is realized.

The application discloses a method for calculating double-aircraft relative dynamic LRCS and a control method thereof, and combines rough surface scattering theory and computer graphics, and establishes an LRCS calculation model by using the Kirchhoff method; geometric modeling is carried out on the aircraft target, the model target surface is meshed, is decomposed into a plurality of triangular surface elements, and is coded; the triangular surface elements are subdivided, a conversion relationship between a target coordinate system and a local coordinate system is established, and coordinates are determined; a coordinate system of an observation point and a target to be observed is established, the target aircraft is blanked, effective surface element data is acquired, the value of the LRCS of each surface element is obtained, and the value of the total target LRCS at the current time is obtained through algebraic summation. According to the working principle of the laser radar, the 3D modeling and simulation are combined with the laser radar target scattering theory, and the dynamic laser scattering cross section of the other party under the mutual visual angle between two high-speed flying carriers can be researched.

This invention discloses a method for displaying MR virtual images based on generative adversarial networks (GANs), comprising the following steps: constructing a display residual ledger, collecting anchor points, visibility, illumination, inter-frame residuals, and pose compensation; setting phase, frequency, visibility, frequency division, wraparound, and feedback nodes in the SIREN generator; modulating the phase and frequency terms with the anchor point phase residuals to form a phase-locked implicit state; generating an occlusion subtraction gate with the visibility residuals to correct inter-layer propagation; subtracting the illumination band residuals with frequency division to correct brightness and boundaries; wrapping the phase with the inter-frame phase residuals to form a continuous phase implicit state; decoding the surface element display record, identifying and feeding back the residuals, and stitching together to output the MR virtual image. This invention relates to the field of mixed reality display and artificial intelligence image generation technology, achieving stable display of MR virtual images and improving anchor point accuracy, occlusion fusion, and inter-frame continuity.

The invention discloses a large fragment generator power field simulation method and a computer product, and the method comprises the steps: carrying out the discretization of the boundary of a closed space surrounding a fragment layer through employing a discrete surface element, and carrying out the discretization of the internal space of the closed space through employing a voxel method; the internal space of the closed space is iteratively filled with spherical fragments through a random confidential arrangement algorithm, and initial arrangement of the fragments is completed; the initial arrangement of the fragments is optimized through a dynamic relaxation method, fragment compaction state simulation is completed, and the spatial position and radius information of the fragments is output; generating a discrete element model of the fragments based on the spatial position and radius information of the fragments; and based on the discrete element model of the fragments, combining a finite element method and an ALE method to realize modeling of a warhead containing a large number of fragments and rapid simulation evaluation of a power field. According to the method, a more accurate and detailed simulation result is achieved, and technical support can be provided for fragment type ammunition design and rapid performance evaluation.

Systems and methods include simulating, in a digital representation of a simulation space, a fluid flow across a boundary including double-sided facets abutting a first region and a second region by: determining first particle distributions for first facets of the double-sided facets based on particle distributions of first resolution voxels in the first region and second particle distributions for second facets of the double-sided facets based on particles of the second resolution voxels in the second region; performing surface interactions on the double-sided facets; combining particle distributions from the second facets to the first facets based on the surface interactions; determining particle distributions to be advected from the first facets to the second facets based on the surface interactions; and advecting particle distributions from the first facets to the first resolution voxels and from the second facets to the second resolution voxels.

The application relates to a large-scene SAR echo fast generation method based on a scene grid database, relates to the electrical field, and comprises the following steps: importing triangular surface elements of a scene, dividing the size of a grid according to the far-field condition of a sensor to form a scene grid; performing ray tracing on the scene grid according to the relationship of incident electromagnetic fields of the sensor to obtain a ray tube representing electromagnetic wave propagation; performing integral summation on all ray tubes in the scene grid to obtain the scattering coefficient of the scene network at a given frequency and angle; calculating the scattering coefficient for the frequency and angle required in SAR echo simulation to form a scene network scattering coefficient library; combining the scattering coefficients of each scene grid to form a large-scene electromagnetic response frequency domain system function; and obtaining the total echo of the scene through time domain convolution or frequency domain multiplication, so that the application has the advantages of solving the problems of large calculation amount and poor real-time performance of a traditional direct simulation SAR echo method.

This invention provides an image processing method, apparatus, and device for scene reconstruction and rendering. The method includes: initializing a sparse point cloud corresponding to each scene image to be reconstructed to obtain multiple initial Gaussian polygons; optimizing each initial Gaussian polygon based on the inverse depth map, the rendered scene image, and the normal vector map obtained from the initial Gaussian polygons to obtain multiple first target Gaussian polygons; determining second target Gaussian polygons based on the importance of the first target Gaussian polygons, wherein the importance is determined based on multiple sub-models and the target scene image to be reconstructed that matches each sub-model, wherein the multiple sub-models are obtained by meshing the multiple first target Gaussian polygons, and the target scene image to be reconstructed that matches each sub-model is determined based on the pose of the scene image to be reconstructed and the rendering result of the sub-models; and determining a third target Gaussian polygon for rendering the reconstructed scene image based on the spatial range of the mesh.

The invention provides an illumination data processing method. The illumination data processing method comprises the steps that a to-be-baked scene is determined, a voxel structure of the to-be-baked scene is determined, and the to-be-baked scene comprises a target to-be-rendered object; based on the voxel structure, acquiring surface element illumination information of the scene to be baked; determining moving area information of the target to-be-rendered object in the to-be-baked scene, and determining illumination probe deployment parameters according to the moving area information; and according to the illumination probe deployment parameter and the voxel structure, deploying an illumination probe in the scene to be baked, and based on the illumination probe and the surface element illumination information, generating illumination baking data of the scene to be baked. According to the application, the illumination data processing effect of the to-be-baked scene is improved.