87 results about "Point location" patented technology

The embodiment of the invention provides a path planning method and device, a storage medium and a server, and the method comprises the steps: obtaining a path set which comprises a plurality of preparation paths from a starting point position to a target position and an initial probability amplitude corresponding to each preparation path; screening the plurality of preparation paths based on the plurality of initial probability amplitudes to obtain a plurality of alternative paths; according to the reference information of each alternative path, generating a normalized probability amplitude corresponding to each alternative path; and determining a target path from a plurality of alternative paths based on a plurality of normalized probability amplitudes, thereby comprehensively considering various influence factors in a dynamic environment, considering the adaptability and robustness of the paths in a dynamic complex environment, screening the paths through the initial probability amplitudes and the normalized probability amplitudes, and improving the accuracy of the paths. The target path with high smoothness and high quality is planned in real time, and the real-time performance and flexibility of path planning are improved.

This application relates to an offline map matching method, apparatus, computer device, and storage medium. The method includes: starting from the starting position of the complete GPS trajectory to be matched, selecting a sliding window according to a set sliding window length, and searching for the shortest path set for each sliding window in the road network based on candidate starting and ending points; matching the local GPS trajectory corresponding to each shortest path to the corresponding road segment in the road network to generate the shortest matching path without backtracking, calculating the score of each matching path, and retaining the top k matching paths with the highest scores; performing local non-shortest path travel detection on the top k matching paths, and using a split matching algorithm to correct the travel trajectories of existing local non-shortest paths. The embodiments of this application effectively enhance the robustness of road network matching for local non-shortest path travel, improving the overall efficiency and trajectory matching accuracy of offline map matching.

This invention relates to the field of image processing technology and discloses a posture deviation recognition method based on image recognition. The method involves acquiring a posture image at the moment a specified rehabilitation movement is completed, preprocessing and segmenting it to obtain a binary contour of the target posture, representing the contour points as a complex sequence, and performing closure processing and arc length resampling to standardize the number of contour points. Based on this, a DC-free and normalized Fourier descriptor is constructed to obtain the frequency domain features of the posture and the standard posture. The global shape deviation intensity and adaptive judgment threshold are calculated through frequency domain comparison, and the residual signal is reconstructed at the resampling point location to obtain the local deviation distribution. Finally, the posture deviation level and structured results are output according to a grading rule, thereby reducing the dependence on sensors and manual thresholding, realizing the quantitative assessment and presentation of posture deviation, and providing a basis for clinical assessment and training adjustment.

This invention discloses a fast point cloud segmentation method based on image mapping for local workpiece grinding and polishing, belonging to the fields of robot vision perception, image processing, and 3D point cloud segmentation technology. The method first sets a red closed boundary around the area to be ground and polished. Then, a robotic arm equipped with a depth camera simultaneously acquires RGB color images and depth data, constructing an ordered point cloud with a one-to-one correspondence between image pixels. Subsequently, the red boundary is detected by fusing features from multiple color spaces (HSV, RGB, and Lab). A mask for the area to be ground and polished is obtained through morphological closing operations, maximum contour filtering, and region filling. Finally, the point cloud of the area to be ground and polished is extracted based on the correspondence between the target pixel positions in the mask and the midpoint positions in the ordered point cloud. This invention reduces the computational complexity of direct 3D point cloud segmentation and improves the accuracy, stability, and processing efficiency of point cloud extraction for local areas to be ground and polished.

This invention discloses a method and apparatus for processing the displacement of point-based Point of Interest (POI) features based on enhanced Morton codes. The method includes: calculating a data region, constructing a quadtree, and encoding the quadtree using Morton codes; decoding the Morton codes to obtain the rows and columns of the grid corresponding to each node in the entire quadtree grid matrix; for each node's corresponding grid, calculating the center point position of the grid using the node's depth and the Morton code through Morton decoding; shifting the geographic target obtained through a single-selection method to the center point position of the grid; when the shift distance exceeds a user-set error threshold, increasing the Morton code length by constructing a virtual sub-grid; and correcting the base map after the shift operation using a base map deformation technique. This invention solves the practical problems of point-based POI data display in the Internet environment, such as mutual overlap and unclear expression of thematic information.

This invention discloses a method for optimizing the design of complex equipment based on a hybrid adaptive sampling surrogate model. This method divides the design space into several Voronoi polygons controlled by sample points. Three indices—leave-one-out error, local nonlinearity, and polygon region size—are used to evaluate the importance of each sample point region. An entropy-weighted distance method is used to select the most suitable sensitive region for adding points. A learning function based on error estimation is then combined to determine new sampling points. This iterative update constructs a high-precision surrogate model, establishing a mapping relationship between design parameters and optimization objectives, thereby solving the design optimization problem. This invention innovatively proposes a multi-index adaptive weight allocation method to select sensitive sample regions and proposes a novel learning function to determine the location of added points. This method can construct a high-precision surrogate model using fewer sample points and can be used for the optimization design of complex equipment, including but not limited to tunnel boring machines.

This invention provides a method and system for anchor point positioning in cofferdam bridge construction based on digital twins, belonging to the field of digital twin technology. The method includes: using a drone to acquire images and perform laser scanning of the cofferdam bridge construction area, fusing the image set and point cloud set to construct a three-dimensional construction twin model; randomly distributing anchor points based on a preset number of anchor points and generating a distribution; using the three-dimensional construction twin model, simulating external loads and construction based on the anchor point distribution, and evaluating the distribution's fitness; optimizing the anchor point distribution based on the fitness until convergence, and outputting the optimal anchor point distribution for construction. This invention solves the technical problems in traditional cofferdam bridge construction where anchor point positioning relies on manual experience and static design drawings, leading to large layout deviations and difficulty in adapting to dynamic construction disturbances. It achieves the technical effect of optimizing anchor point positions through a digital twin model, improving construction accuracy, reducing construction errors, and thus improving construction efficiency and safety.

The application discloses a kind of resource point position data determination method, terminal equipment and computer readable storage medium.The method includes: obtaining operator data, and determining the basic data and / or relevant data of resource point according to the operator data, wherein the basic data includes the name and / or address corresponding to the resource point, and the relevant data includes the positioning data corresponding to the user associated with the resource point;Based on the basic data, the first latitude and longitude information corresponding to the resource point is crawled in the webpage, and / or the second latitude and longitude information corresponding to the resource point is determined based on the relevant data;According to the first latitude and longitude information and / or the second latitude and longitude information, the position data of the resource point is determined.The application aims to achieve the effect of improving resource point management efficiency.

This invention relates to the field of digital urban planning and intelligent path optimization technology, and discloses a method for optimizing urban path network replacement points based on an improved Dijkstra algorithm. First, a county-level facility-road network coupled graph model is constructed, and facility load levels and population weights are labeled. The standard Dijkstra algorithm is used to calculate the initial coverage rate and load rate. Based on the load level and coverage blind spots, a load-blind spot coupled gravitational field model is constructed, and AI adaptive weights are used to generate candidate replacement point heatmaps. Coverage gain, blind spot attraction, and load diversion factors are introduced to construct a multi-dimensional cost function for the improved Dijkstra algorithm, and the coefficients are dynamically adjusted using AI adaptive weights. The comprehensive cost is calculated by traversing the candidate points, and the point with the minimum comprehensive cost is selected as the optimal replacement point. The process is iterated until a termination condition is met, and then the solution is output. This solves the problem of not being able to automatically locate the optimal replacement point position that balances coverage improvement and load diversion.

A rendering method, apparatus, device, and storage medium for a 3D model are disclosed, relating to the field of computer graphics technology. The method includes: acquiring vertex position data of a 3D model, wherein the vertex position data indicates a first position of at least one vertex of the 3D model in 3D space; projecting at least one vertex from 3D space to screen space according to camera parameters of a virtual camera in 3D space, obtaining projection point position data, wherein the projection point position data indicates a second position of the corresponding projection point of at least one vertex in screen space; predicting projection point color data corresponding to a preset lighting effect of the 3D model in 3D space using a light gradient model based on the projection point position data and camera parameters; and rendering the 3D model using the projection point position data and projection point color data to obtain a rendered image of the model. This application enables automatic rendering of lighting effects of 3D models, improving the rendering efficiency of lighting effects.

This application relates to the field of computer vision technology, and provides a method and system for sports action recognition and judgment based on computer vision. The processing module realizes the parallel output of action intention category and initial skeleton points based on a multi-task learning network, generates a standard trajectory based on the action intention category, and constructs individual ability boundaries based on historical motion data. The matching module uses the standard trajectory as prior information, the initial skeleton points as observation information, and the individual ability boundaries as constraints to complete the iterative optimization of skeleton point positions and generate a skeleton point sequence through a state estimation algorithm. The inference module generates residual features by comparing the skeleton point sequence with the standard trajectory, combines user physiological data and historical motion data to determine the root cause of deviation through causal inference, and outputs the sports injury level. The adjustment module generates error correction instructions according to the root cause of deviation, and dynamically adjusts the intervention intensity according to the sports injury level to achieve the adaptation of intervention intensity with deviation type and injury risk.

The application relates to a line-of-sight calibration, motion tracking and precision testing method based on adaptive time sequence analysis prediction, which specifically comprises the following steps: through image color recognition technology, color blocks and calibration point positions in a screen are recognized in a scene image, the actual size of the screen is combined, and the screen position is roughly positioned; distortion calibration is carried out based on the calibration point information, the screen position is precisely positioned, and the mapping relationship between the scene image and the precisely positioned screen is determined; eye control type nine-point calibration is carried out, the mapping model of the eyeball physical information and the gazing space position of the tester is determined, the screen gazing point coordinates are obtained in combination with the mapping relationship; line-of-sight positioning precision quantitative testing is carried out; through an adaptive time sequence analysis prediction algorithm, the current line-of-sight positioning is optimized and the future gazing point position is predicted in combination with historical line-of-sight information, meanwhile, the parameters in the time sequence analysis prediction algorithm are adaptively adjusted according to real-time precision or the intensity of shaking; through an eye state detection algorithm, the state of the human eye in the open and closed eye state is detected, and eye movement control is carried out.

The application discloses an AGV path dynamic programming method and device, and relates to the field of warehouse logistics.The method comprises the following steps: receiving a transportation instruction; obtaining a first transportation path according to a starting point position, a target point position, a preset environment map and real-time sensing data; driving according to the first transportation path, and judging whether there is an obstacle in a first preset range according to a preset frequency; if there is an obstacle, waiting for a preset time period at a preset safety distance, and judging whether there is an obstacle in the first preset range according to the preset frequency; if there is an obstacle in the first preset range after the preset time period, obtaining a current position, the target point position, the preset environment map and the real-time sensing data; obtaining a second transportation path according to the current position, the target point position, the preset environment map and the real-time sensing data, and driving according to the second transportation path.The technical scheme provided by the application can solve the problem of low transportation efficiency of the AGV when encountering an obstacle.

This invention discloses a visual counting method and apparatus for combined scales. By establishing a mapping relationship between image coordinates and the spatial coordinates of the discharge port, it identifies occlusion conflict areas caused by simultaneous discharge from multiple channels. Differentiated acquisition frame rates are assigned to each channel based on the degree of conflict. The occluded segments in the material's movement trajectory are traced backwards to extract motion features and predict missing trajectory segments. The channel to which the material belongs is determined by combining the endpoint position and movement direction. Temporal cross-validation is performed on the count values ​​of each channel to identify counting deviations. Channels are classified into reliability levels based on the degree and trend of deviation, and multi-channel count values ​​are fused using a weighted classification system. Finally, dynamic correction parameters are generated through temporal consistency detection to correct abnormal jumps and output structured counting results. This invention achieves optimized allocation of sampling resources, accurate attribution determination under occlusion conditions, and reliable fusion of multi-channel data.

This invention relates to the field of parametric modeling technology, specifically to a parametric-based intelligent design optimization method and system for construction drawings. The method includes the following steps: extracting boundary and annotation information to determine component orientation and attribution; analyzing endpoint coordinates to adjust edge line order and calculate occupancy offset; comparing intersection positions to identify and sort preceding nodes; extracting intersection point distribution to determine contact range and connection relationship; and determining drawing page numbers based on component start point and path direction. In this invention, spatial attribution relationships of components are established through geometric boundaries and annotation information; the orientation is adjusted based on the difference in edge line angles; connection strength is identified based on intersection angles and contact ranges; the drawing order is derived according to numbering order and intersection sequence; component combinations are divided using the continuity of fitting segments; and drawing page number distribution is located based on component start point and path direction. This achieves dynamic coordination of component arrangement, sequential organization, and drawing splicing, improving the accuracy of component structural expression and the completeness of construction drawing generation.

A fluid-structure interaction (FSI) simulation method for submerged boundaries based on the material point method and positional dynamics includes: a) solving for the solid state and calculating the Lagrangian elastic force of the solid; b) transferring the elastic force of the solid Lagrangian mesh vertices to the Eulerian background mesh; c) solving the Navier-Stokes fluid control equations and continuity equations on the Eulerian background mesh, feeding back the updated mesh flow field information to the particles, and updating the particle state synchronously; d) using a mapping matrix to map the positions of solid particles back to the vertices of the solid Lagrangian mesh, saving the vertex position data and fluid particle data for rendering output. This invention, through the above-mentioned hybrid Lagrangian-Eulerian perspective coupling solution, can realistically simulate the bidirectional coupling between solids of different materials and complex fluids, significantly improving the physical realism and visual fidelity of the simulation scene.

This invention discloses a method for locating the sub-pixel intersection point of two straight lines based on robust estimation and local refinement, comprising the following steps: S10, defining the Region of Interest (ROI) and extracting sub-pixel edges at multiple scales; S20, initial fitting of the straight lines based on robust estimation; S30, refining the intersection region and assessing uncertainty. This invention achieves intersection point location accuracy superior to the pixel level; significantly reduces the impact of abnormal edge points, missing local edges, and interference near the intersection point on the location results; has a high degree of automation, reducing reliance on manual parameter adjustments; and can output the intersection point coordinates while providing an estimate of its location uncertainty, providing a decision-making basis for downstream applications.

The application provides an AI-based highway bridge and tunnel structure health state evaluation method and system, which comprises the following steps: according to a continuous damage point position sequence, a clustering algorithm is used to identify a turning point and divide a life cycle section, and the boundaries of a stable section, a degradation section and an acceleration section are determined; the extension rate data in each life cycle section is obtained, the data between sections is connected through a linear interpolation method for the curve jump position, and a smooth evolution curve is obtained; if there is a symmetric filling residual error in the evolution curve, the error source is judged by comparing the difference of the extension rate of adjacent sections, and the corrected curve parameters are obtained; crack extension characteristics are extracted from the corrected curve parameters, a time series analysis model is used to predict the evolution trend, and the whole process mapping of the crack from initiation to extension is determined; according to the whole process mapping of the crack, it is judged whether the extension rate is close to a preset critical threshold, and a threshold point of the remaining life of the structure is obtained.

The present application belongs to the field of visual tracking technology, and discloses a kind of processing existing partial occlusion flexible linear object visual tracking method, based on RGB-D camera obtains color image and depth image data, from first frame image, by mask segmentation, skeletonization processing operation generates initial state point, in each subsequent frame, object point cloud is generated by mask in conjunction with depth image;Then, the density of its surrounding current point cloud is counted, and the state point is marked as "visible" or "occlusion";By establishing the analytical model based on the spatiotemporal continuity of flexible linear object, the closed form solution of the occlusion position is derived, and the iterative optimization process of the occlusion position is eliminated, thereby reducing the computational complexity and achieving efficient real-time tracking;Meanwhile, using the inherent spatiotemporal geometric evolution law of flexible linear object, a position estimation model that can be directly analytically solved is constructed, avoiding the stability risk brought by iterative optimization, and significantly improving the reliability and tracking stability of the occlusion position estimation.

The application discloses a kind of based on fraction matching diffusion model's graspable area generation method and system, comprising: obtaining scene point cloud and carrying out grasping posture annotation, constructs training set and test set;Neural network model is built, including the sparse feature extraction module, label processing module, multiscale local feature aggregation module, fraction matching diffusion module and grasping posture output layer connected in turn;Model is trained using training set and is saved optimal parameter by test set evaluation;Real scene point cloud is input into model, and grasping posture is obtained and transmitted to robot execution system.The application enhances the understanding ability to graspable area geometric structure by multiscale local feature aggregation module, learns the data distribution gradient of graspable area by fraction matching diffusion module, and iteratively optimizes candidate point position using Langevin dynamics during inference.Can accurately locate graspable area in complex scene, improve the success rate of grasping, while enhancing the adaptability to new objects.

A method for multifarious geographic radial point interpolation includes accessing, by a processing circuit, a database comprising location information for location objects in a geographic area, the location information including at least geographic coordinates associated with the location objects. For each of the location objects, the method includes generating, by the processing circuit, a spread pattern of dot locations around a corresponding location object, the dot locations including geographic locations each being a respective distance away from the corresponding location object and creating, by the processing circuit, a data structure that includes the corresponding location object and each of the dot locations associated with the corresponding location object. The method further includes storing the data structure created for each of the location objects in a storage device for processing by a computing device.

This disclosure provides a game interaction control method, device, and electronic device. It displays a landing range centered on a set target location on a thumbnail map. The landing range indicates the selection range of the starting position for a first landing method when the target location is the landing point. Based on the set starting position of the first landing method and the target location, it determines the starting position of a second landing method. If the starting position of the first landing method is within the landing range, in response to a first command, it controls the game character to move from the starting position of the first landing method to the starting position of the second landing method, and then moves from the starting position of the second landing method to the target location. In this method, players can clearly determine whether the currently set starting position of the first landing method can successfully reach the target location by setting the landing range based on the target location, thereby improving the player's landing experience.

This invention relates to the field of 3D modeling technology, specifically a construction method for a large cantilevered steel frame canopy based on BIM and 3D scanning. The method includes the following steps: collecting component point cloud coordinates and calculating deformation displacement gradients to construct a 3D data model; extracting reference surfaces and calculating projection distance differences to generate a surface correction model; decomposing node position residuals to calculate correction ratio coefficients and generate offset vector data; and constructing a connection plate constraint model based on the offset vectors to calculate micro-correction values ​​and generate a control coordinate set. In this invention, spatial topography is reconstructed by calculating point cloud displacement gradients; deviation characteristics are mined by extracting reference surfaces and calculating differences to generate deformation parameters; node spatial position residuals are decomposed to identify offset patterns and dynamically calculate compensation ratios; a constrained deformation field distribution matrix is ​​constructed by combining the geometric boundaries of the connection plates; and finally, precise control coordinates are generated to eliminate accumulated positioning errors and interference risks, thereby significantly improving assembly reliability.

This application provides an operation processing method, apparatus, device, and readable storage medium. In the technical solution provided by this application, a dual-level processing mechanism of message level and point level is constructed. At the message level, permission conflict detection based on user identity is introduced to effectively prevent non-creator users from accidentally deleting or tampering with other people's content, thus achieving fine-grained operation isolation. At the point level, conflict detection is pushed down to the smallest data unit coordinate point. By comparing the point position sets of the current operation and the historical operation, the spatial overlapping area is accurately identified, and the operation type corresponding to the current operation message is combined to dynamically determine whether execution is allowed, ensuring that the operation result is certain and predictable. This achieves hierarchical deterministic operation conflict processing, improving the smoothness and user experience of the online collaborative whiteboard system.

In various examples, a supported pattern of triangles may be associated with multiple cluster templates that represent optimized triblock layouts with different levels of compression. In some embodiments, an application running on a host (e.g., a CPU) may specify an applicable compression level for a cluster of triangles or a device (e.g., a GPU) may identify one (e.g., by inspecting the vertex positions on the fly). As such, the device may look up a set of cluster templates associated with a specified pattern of triangles, identify the cluster template associated with the applicable compression level, copy that cluster template into allocated memory for the cluster, copy or transcode the vertex positions in the cluster into a precomputed triblock layout represented by the cluster template, and build a bounding volume hierarchy subtree over the cluster of triangles using a precomputed range assignment represented by the cluster template.

To estimate a position of a body feature point.SOLUTION: A feature-point position estimation device for estimating three-dimensional coordinates of a prescribed feature point of a body located at a target segment of an object, includes: a position input part for inputting three-dimensional coordinate values of a first body feature point for identifying a position in a first side of the target segment of the object and of a second body feature point for identifying a position in a second side, and three-dimensional coordinate values of a plurality of body surface points of the object; a plane calculation part for calculating a plane in a three-dimensional space passing through the first body feature point, the plane perpendicular to a straight line connecting the first body feature point and the second body feature point; an extraction part for extracting a plurality of body surface points on the plane, a distance of which from the plane is a prescribed range out of the plurality of body surface points; an approximation part for approximating the plurality of body surface points on the plane to a space ellipse on a three-dimensional space; a condition input part for inputting conditions representing at which point on the space ellipse the prescribed body feature point is located; and a position estimation part for estimating the three-dimensional coordinate values of the prescribed body feature point on the basis of, the space ellipse and conditions.SELECTED DRAWING: Figure 2

This invention discloses an automatic extraction method and system for spatial structural member dimensions based on point clouds, belonging to the field of computer vision and 3D reconstruction technology. The invention addresses technical problems in existing technologies, such as high point cloud noise, severe occlusion leading to unstable member axis fitting, misalignment of topological endpoints causing difficulty in restoring connection relationships, and point cloud contamination and insufficient dimension extraction accuracy at intersections of multiple members. The invention includes: reading original, skeleton, and topological point cloud files; performing topological filtering to obtain effective edges; filtering neighborhood point sets for each effective edge based on the skeleton point cloud; using RANSAC to fit straight lines to generate skeleton line segments; performing spherical neighborhood clustering on the line segment endpoints and optimizing intersection positions to reconstruct accurate member axes; and finally calculating member lengths based on the axes and statistically estimating member radii based on the original point cloud. The system of this invention includes corresponding functional modules.

This invention, belonging to the field of fire protection technology, proposes an intelligent identification and positioning method for fire protection components based on a drawing recognition model. To address the issues of poor accuracy and low efficiency in processing the numerous detailed and specialized symbols and data contained in fire protection system design drawings, the invention comprises four core steps: point icon recognition, point address recognition, point icon address matching, and point location recognition. This invention eliminates the need for technicians to manually annotate fire protection component icons, addresses, and location information, automating the entire process of extracting relevant information from drawings. This significantly reduces the workload of manual operations and lowers labor costs. Furthermore, the automated identification and positioning process greatly improves the speed of information extraction and processing from fire protection engineering drawings, enabling the rapid completion of large-scale drawing processing tasks. Compared to traditional manual annotation methods, processing efficiency is significantly improved.

The application provides a real scene three-dimensional rendering method and system based on visibility culling and cache preloading, and relates to the technical field of computer graphics and three-dimensional visualization. Firstly, three-dimensional model data and real-time viewpoint data of a three-dimensional scene are acquired; a visibility culling region is calculated based on the real-time viewpoint data, and invisible objects are removed to reduce the rendering calculation amount; the next viewpoint position is predicted according to the real-time viewpoint data and historical viewpoint data, and three-dimensional model data determined to appear at the next viewpoint is preloaded; incremental rendering is performed based on the preloaded data and real-time viewpoint data, and the cache is updated in real time, so that invalid calculation and data access delay are significantly reduced, and efficient, low-delay and scalable real-time rendering under a complex scene is realized.