25 results about "Spatial maps" patented technology

This invention discloses an artificial intelligence-based method and system for visualizing urban planning, belonging to the field of data processing technology. The method includes: acquiring multi-source heterogeneous urban basic data and planning schemes to be evaluated; constructing a heterogeneous attribute spatial map through temporal denoising and feature matching; using the planning scheme as a priori excitation condition, inputting it along with the map into a multi-layer spatiotemporal perception graph neural network model with topology preservation loss, and outputting a spatiotemporal evolution prediction matrix tensor; constructing an adaptive weighted grid evaluation model based on multi-dimensional constraints such as perspective, predicted polarization gradient, and hardware load, and combining it with PID closed-loop monitoring of dynamic threshold, to reconstruct a high-efficiency urban visualization 3D chassis model with weighted allocation in real time. This invention effectively solves the problems of false connectivity distortion in traditional topology prediction and computational power collapse caused by rigid LOD distance pruning, achieving deep collaboration between highly realistic situational evolution and adaptive computational power.

This invention discloses an AI-interactive AR (Augmented Reality) cultural wall system for cultural tourism, belonging to the field of AR system technology. The surface of the cultural wall is equipped with a pre-embedded feature set, including visual markers, differentiated texture features, 3D depth variation areas, and specifically designed interactive hotspots. These features provide the system with stable visual benchmarks, semantic distinction criteria, depth cues, and precise positioning anchors. The system includes: a feature point acquisition module, used to collect the feature set on the cultural wall through a multimodal feature extraction algorithm to construct a 3D spatial map with semantic annotations; a user positioning and pose estimation module; an AI content generation engine; and a spatial adaptation and rendering module. Through the cultural wall feature set and the multi-module collaborative system, precise spatial integration of virtual content and the physical wall surface is achieved, along with intelligent dynamic content generation based on user behavior, effectively enhancing the immersion, interactivity, and personalization of the AR cultural experience.

This application discloses an AOI matching method based on spatial context awareness and adaptive multimodal feature fusion, comprising: extracting geometric and textual features from AOIs from two different map platforms; constructing a heterogeneous spatial map; using a heterogeneous graph Transformer model to perform context aggregation and feature updates on the heterogeneous spatial map to obtain the spatial context embedding features of the AOI; constructing a global spatial context vector of the AOI, and obtaining multimodal refined features through a GRU gating fusion mechanism; fusing the multimodal refined features through an intra-source attention mechanism to obtain intra-source embedding features, and performing bidirectional cross-attention calculation through a cross-source attention mechanism to obtain the inter-source embedding features of each of the two map platforms; and determining the AOI matching probability based on the inter-source embedding features and the spatial embedding vectors of candidate AOI pairs. This method solves the problem of poor AOI matching performance under special data such as missing names and coarse contours, and in complex heterogeneous scenarios, thereby improving the matching accuracy of AOIs.

This invention relates to the field of forestry resource monitoring technology, and discloses a dynamic monitoring system and method for forestry resources based on remote sensing imagery. The system includes: generating temporal remote sensing reflectance data within the same grid; generating a continuous canopy occupancy map; generating an infill set; determining the intrinsic neck scale; calculating the topological spectrum intensity of the continuous canopy infill; calculating the interlayer decoupling topological index; generating monitoring judgment results; and outputting change patches. This invention constructs an adaptive multi-scale erosion sequence based on the intrinsic neck scale, combines Eulerian features to quantify the infill topological fragmentation process, and integrates the degree of infill fragmentation with the stability state of the outer envelope through the interlayer decoupling topological index. This achieves accurate determination of change units and precise spatial patch location, avoiding the omissions or misjudgments of deep forest understory structure changes by traditional techniques, ensuring that the monitoring results accurately reflect the actual mechanisms of dynamic changes in forest resources.

In an augmented reality (AR) experience, virtual content may be rendered at a particular position within a 3D spatial map and overlaid onto a view of the real-world space. There may be scenarios in which the user wants to limit a 3D model to being rendered within a particular subspace of the space defined by the 3D spatial map. Computer-implemented methods are disclosed that include receiving input defining a subspace of a 3D spatial map of a real-world space. A set of 3D models may then be filtered to identify a subset of the 3D models that fit within the subspace defined by the input. AR content including a render of a particular 3D model from the subset and overlaid onto a view of the real-world space in a position within the subspace may be output for display.

An ocular surface image optimization method and apparatus, a portable ocular surface imager, and an electronic device, relating to the technical field of multispectral imaging. The method comprises: acquiring a target number of real-time frames, and performing grid division on the real-time frames to obtain target grids on the real-time frames; calculating a preset modulation transfer function in the target grids to obtain sharpness values, and mapping the sharpness values of the target grids corresponding to a single real-time frame to form an image-quality spatial map of a target size; and using a differential fitting algorithm to synthesize the image-quality spatial maps corresponding to the real-time frames into one target image-quality spatial map, generating an optimized image on the basis of the target image-quality spatial map, and sending the optimized image to a portable ocular surface imager for output. By dividing the real-time frames into different grids and calculating the modulation transfer function on a per-grid basis, the calculation speed is increased, and the problem that optimized images cannot be calculated in real time on the basis of multiple frames of images is solved.

This invention relates to the field of automated welding and discloses a visual perception-based method for collaborative welding path planning that integrates wire feeding guidance and collision avoidance. The invention aims to solve the problem of simultaneously achieving high-precision wire feeding guidance and multi-obstacle avoidance within confined spaces. It establishes a local spatial map containing weld morphology and obstacles through visual perception, and uses laser ranging to assist in correcting deformation characteristics, achieving high-precision reconstruction of the working environment. The relationship between the wire feeding mechanism and the weld position is calibrated, and dynamic compensation is performed using resistance feedback and hose curvature monitoring to ensure stable wire feeding. A spatial decoupling control mechanism is adopted to generate a collaborative strategy for avoiding obstacles and pipelines based on dynamic weights while maintaining the coordinates of the wire feeding contact point. A smooth interpolation mechanism drives the motion, and closed-loop optimization is performed based on the correlation analysis of real-time trajectory and material thermal properties. This achieves precise path planning and collaborative collision avoidance within confined spaces, improving operational accuracy and safety.

The invention relates to the technical field of forestry resource monitoring, and discloses a forestry resource dynamic monitoring system and method based on remote sensing images, and the method comprises the steps: generating same-grid time phase remote sensing reflectivity data; generating a continuous canopy occupancy map; generating an inner hole set; measuring the scale of the intrinsic neck; the continuous canopy inner hole topology spectrum intensity is calculated; calculating an inter-layer decoupling topology index; generating a monitoring judgment result; and outputting the change pattern spots. According to the method, a self-adaptive multi-scale erosion sequence is constructed on the basis of the intrinsic neck scale, the Euler feature is combined to quantify the inner hole topology fragmentation process, the inner hole fragmentation degree and the outer envelope stable state are integrated through the interlayer decoupling topology index, change unit judgment and space pattern spot accurate positioning are achieved, and the method has the advantages of being simple in structure and convenient to operate. And missing detection or misjudgment of the change of the deep structure under the forest in the traditional technology is avoided, so that the monitoring result conforms to the actual mechanism of the dynamic change of forest resources.

A method of generating a spatial map includes obtaining a captured image of a target area in a space; obtaining light detection and ranging (LiDAR) scan data by scanning a depth of the target area relative to the first height; performing object detection on the captured image; and generating a spatial map of the target area based on all LiDAR scan data and the captured image according to the performed object detection.

This application provides a land resource planning method and system based on cadastral information, relating to the field of territorial spatial planning technology. This application obtains spatial patches of the target land parcel, extracts land category identifiers and area control indicators, and establishes a mapping relationship between the area control indicators and the spatial patches. It determines the corresponding land use assessment parameters based on the land category identifiers; responds to spatial replacement requests, extracts source land and target land, and generates a transfer path; along the transfer path, performs a matching test based on the mapping relationship and the replacement area, combined with the land use assessment parameters, and generates a land planning scheme based on the verification results and the vector direction of the transfer path. This enables path-based management of all elements and spatial graphics, solves the problem of unrecorded accounting for land use balance and land consolidation indicators, and improves the accuracy of territorial spatial use control and the scientific nature of planning schemes.

Systems and methods for enhanced security using space recognition for push approvals on a client device use one or more processors which perform certain operations. The operations can include capturing a real-time environment and creating a spatial map using a camera, comparing the spatial map with a pre-stored device bound image database and proceeding with a push authentication based upon a match between the spatial map captured and information from the pre-stored device bound image database. In some embodiments, the system prevents the push authentication when a lack of a match between the spatial map captured and the information from the pre-stored device bound database exists. In some embodiments, the one or more processors further perform the operation of receiving a push notification after initiating capturing the real-time environment and creating the spatial map.

This invention discloses a blue-green infrastructure mapping and classification method and related apparatus, relating to the field of computer technology. The method includes: generating a new reservoir layer and a first residual water body layer based on original water body layer data, water patch layer data, and point-of-interest layer data; generating a new river layer and a second residual water body layer based on the first residual water body layer and water patch layer data; generating a new lake layer and a new pond layer based on the second residual water body layer and multi-element patch layer data; generating a blue-green space layer based on land cover raster layer data and the above layers; performing land cover type area ratio analysis based on the blue-green space layer using field statistics; performing primary classification using the BGI classification framework based on the land cover type area ratio information; and performing blue-green space classification based on the primary classification results using the BGI classification framework. This invention improves the completeness and feasibility of BGI mapping and classification.

This invention relates to the fields of bioinformatics, spatial omics data processing, and molecular map construction, and particularly to a method for constructing a multi-omics spatial map of healthy Wuzhishan pigs based on a molecular bioinformatics analysis and processing system. This method constructs a breed-specific molecular anchor set for Wuzhishan pigs, performs anchor point correction on spatial transcriptomic, spatial proteomic, and spatial metabolomic data, performs cross-slice spatial registration using histological relay sections, establishes spatial micro-domain units, identifies anchor point relay triads within these units, extracts conserved spatial micro-domains among different healthy Wuzhishan pigs, and thus constructs a multi-omics spatial map of healthy Wuzhishan pigs. This method can improve the accuracy of cross-omics spatial association results and the consistency of map results among individuals.

A tracking system and method are provided. The at least one electronic device of the tracking system selects a range map data from a spatial map information based on an initial position configuration. The at least one electronic device loads the range map data into a memory space of the at least one electronic device. The at least one electronic device performs a relocalization operation based on the range map data in the memory space. In response to completing of the relocalization operation, the at least one electronic device initiates a tracking operation corresponding to the at least one electronic device.

This invention discloses a cruise control method, device, and medium for an inspection robot, relating to the field of robot automatic control technology. The method includes: collecting inspection environment information and equipment operating status data, performing unified coordinate mapping and spatial modeling to generate an inspection environment spatial map; constructing an inspection environment risk field model based on the inspection environment spatial map and equipment operating status data, employing an equipment operating risk layer, a spatial obstacle constraint layer, and an inspection target guidance layer; extracting the robot's current position from the inspection environment spatial map, performing risk gradient direction decomposition in conjunction with the inspection environment risk field model, and reconstructing the cruise direction to generate a cruise guidance direction. This invention improves cruise stability and task completion consistency in complex industrial environments by extracting local risk perception data and decomposing risk change trends into multiple candidate gradient directions.

This invention relates to the field of artificial intelligence technology, specifically disclosing an AI-based method and system for optimizing the multi-layer stacking of galvanized steel coils. The method includes: extracting multi-dimensional features from the steel coil attribute information of the target object to obtain geometric adaptation parameters and stackable feature parameters; performing structured spatial analysis on the environmental information of the target object and constructing a stacking operation space map of the target object; performing spatial optimization configuration on the stacking operation space map to obtain an initial stacking sequence and initial spatial occupancy layout; performing force transmission analysis on the target object, and based on the analyzed contact force network, extrapolating the offset trajectory of the target object's center of gravity to identify overturning risk points; and verifying the support capacity of the target object's contact state to adjust the inter-layer misalignment angle and the coil arrangement order. This invention can improve the efficiency of AI-based optimization for multi-layer stacking of galvanized steel coils.

The application provides a detailed planning full-process review method, system, medium and product, and relates to the technical field of data processing suitable for administration. Parallel extraction procedure proves class data (unstructured text) and spatial element class data (vector graphics and discrete numerical values). Spatial planning is separated into vector geometry and attached attribute parameters, and is uniformly imported into a rule engine and a spatial coordinate system to perform cross operation. This way of extracting workflow flow characteristics, spatial topological characteristics and graphic text semantic characteristics to the bottom logic for unified feature sequence construction and mapping calculation makes up for the technical defects of the lack of cross-modal cooperation of text, numerical values and spatial drawings in the past. Without frequent switching between multiple systems, the data cooperation efficiency of the full-process review is improved to reduce the false alarm rate.

A system may include a wearable article to be worn by a user. For example, the wearable article may include a glove with digits having digit sections, or a sleeve to be worn on an arm or leg. A sensor array may be coupled to the wearable article. The sensor array may include sensors that are submillimeter in at least one in-plane dimension and are distributed at multiple locations of a sensing area of the wearable article. The system may also include a processor configured to: obtain a biometric measurement from the sensor array, the biometric measurement including a spatial map of sensed conditions from the sensors at the multiple locations; and generate an output based on comparing the spatial map to a baseline map of reference values corresponding to the multiple locations. Other aspects are also described and claimed.

This invention belongs to the field of computer software technology. To address the technical problems of insufficient support for spatial data and map services in existing low-code platforms and their inability to effectively integrate with workflow engines, this invention proposes a configurable system generation method for combining geospatial data with workflow engines. The method configures system interface components, serializing the configuration information of each component into a structured JSON object in real time and saving it to a non-relational database. For spatial data that has been connected to a spatial data source, a spatial map service is published, binding the process to a specific spatial data source. This enables spatial data instances to undergo state transitions along predefined workflow nodes. The system and business data are stored using a non-relational database, and the workflow engine can be integrated.

A spatial map information generating apparatus, method, and coordinate system integrating apparatus are provided. The apparatus receives a plurality of keyframes, and the keyframes are generated by a plurality of apparatuses located in a plurality of boundary regions. The apparatus compares the keyframes to obtain a plurality of similar keyframes corresponding to at least one overlapping area of the boundary regions. The apparatus integrates the similar keyframes corresponding to the at least one overlapping area to generate spatial map information corresponding to the boundary regions.

A system may include a wearable article to be worn by a user. For example, the wearable article may include a glove with digits having digit sections, or a sleeve to be worn on an arm or leg. A sensor array may be coupled to the wearable article. The sensor array may include sensors that are submillimeter in at least one in-plane dimension and are distributed at multiple locations of a sensing area of the wearable article. The system may also include a processor configured to: obtain a biometric measurement from the sensor array, the biometric measurement including a spatial map of sensed conditions from the sensors at the multiple locations; and generate an output based on comparing the spatial map to a baseline map of reference values corresponding to the multiple locations. Other aspects are also described and claimed.

This invention relates to the field of bioinformatics and proposes a drug target association identification method based on spatial maps and isovariant networks. First, a three-dimensional spatial geometric map of the target protein and a microscopic chemical topological map of the drug molecule are respectively deduced and constructed to preserve the physical conformation of the receptor and the local pharmacophores of small molecules without loss. Second, a three-dimensional isovariant graph neural network and a graph message passing mechanism are jointly used for deep feature characterization. Finally, an affinity force strategy based on hyperbolic space is introduced to project features without loss onto a Poincaré sphere model with constant negative curvature, and the association probability between the drug and the target is predicted using non-Euclidean geometric distance. This invention effectively overcomes the feature congestion problem of traditional spatial mapping, fully explores the hidden hierarchical information within complex biomolecules, and significantly improves the accuracy and generalization robustness of drug target association analysis, providing effective technical support for new drug development, drug retargeting, and precision medicine.

This invention relates to the field of policy matching technology, specifically to a method and system for cross-regional enterprise science and technology policy consultation matching. The method includes: receiving time-series data of the head office and branches within an enterprise group, and outputting predicted values ​​of key development indicators through a time-series prediction module to identify high-potential companies; receiving cross-regional operational data and constructing a structured organizational map including legal forms; receiving policy data and constructing a policy resource spatial map including application qualification requirements; inputting the above data into a policy consultation matching module, and generating immediate application suggestions and cross-period layout plans for high-potential companies through a multi-stage processing flow. This invention breaks through the static and geographical limitations of traditional policy matching, realizing intelligent decision support that dynamically predicts enterprise potential from a national perspective and generates short-term application and long-term cross-regional strategic restructuring plans, effectively improving the efficiency of enterprise policy utilization.

This invention relates to the field of 3D map technology and discloses a method and apparatus for creating a layered spatial map of XR scenes based on scene element features. This solution addresses the problem of balancing accuracy and update efficiency when using XR devices for map management and scene perception. The method includes: using data acquisition sensors to acquire actual scene elements and associated virtual scene elements; acquiring the dynamic features of the actual scene elements, their positional features in the XR scene, and the interaction features of the virtual scene elements; classifying the actual scene elements into various dynamic categories based on the dynamic, positional, and interaction features; and storing the actual scene elements of different dynamic categories in storage structures corresponding to different storage levels, constructing and displaying a layered spatial map of the XR scene corresponding to the target scene on the XR device. The storage levels include a static layer, a quasi-static layer, and a dynamic layer.