29 results about "Location map" patented technology

This application relates to an arbitrary resolution fusion method for hyperspectral images based on a state-space model, belonging to the field of image processing technology. Addressing the problems of poor multi-scale adaptability and fusion accuracy in existing super-resolution image fusion and reconstruction methods, this application provides an arbitrary resolution fusion method for hyperspectral images based on a state-space model. This method uses a global spatial-spectral fusion module and a bilateral adaptive upsampling module to fuse a low-resolution hyperspectral image with a panchromatic image to obtain fusion features. Based on the fusion features and the location map, an arbitrary-scale super-resolution image is obtained. This invention significantly improves the fusion imaging performance of low-resolution hyperspectral images and panchromatic images, achieving high-precision fusion reconstruction of high-resolution hyperspectral images of arbitrary resolution, effectively solving the bottleneck problems of multi-scale adaptability and fusion accuracy in traditional methods.

The application provides a building crack detection method based on a neural network, comprising the following steps: S100, acquiring a building crack image and performing illumination compensation on the image; S200, extracting multi-scale features of different resolutions of the building crack in the image after the illumination compensation and fusing the features; S300, determining a crack position by obtaining a crack thermal map through the fused features, focusing on a crack region by using a spatial attention mechanism based on a crack position map and the fused feature map, and detecting a crack width, a crack length and a crack direction.

A multi-beam system includes a light source configured to emit light; a fiber bundle connected to the light source; and a camera configured to capture an image set including images corresponding to each fiber connected to the light source. The fiber bundle includes a central fiber having one end connected to the light source, and N layers of fibers surrounding the central fiber. The first layer of fibers includes M fibers, each having one end connected to the light source, and the Nth layer of fibers includes more than M fibers, but only M fibers in the Nth layer of fibers have one end connected the light source. A processor is configured to determine a centroid of each image in the image set to produce a centroid map and generate a fiber location map comprising fiber locations of all fibers in the fiber bundle based on the centroid map.

1. Name of the product in this design: Setting area of ​​the graphical user interface for generating vehicle trajectory of electronic device. 2. Purpose of this design: An electronic device. 3. The key design features of this product are the graphical user interface in the electronic device for which protection is sought. 4. The image or photograph that best illustrates the key design points: Design 1 Change State Diagram 5. 5. Design 1 is designated as the basic design. 6. Purpose of the graphical user interface: The graphical user interface is used for vehicle trajectory generation. The graphical user interface requests protection for a specific area used to set the target parking space and the parking spaces along the driving trajectory. 7. Human-computer interaction method of the graphical user interface: In response to the user touching or clicking the "Target Parking Space" button in the main view of Design 1, the graphical user interface changes from the main view of Design 1 to Design 1 Change State Figure 1 to display the target parking space icon and its operation prompts; in response to the user moving the target parking space icon to the target location, the graphical user interface changes from Design 1 Change State Figure 1 to Design 1 Change State Figure 2 to display relevant operation prompts and the generated preview trajectory; in response to the user touching or clicking the "Passing Parking Space" button in Design 1 Change State Figure 2 after completing the addition of the target parking space, the graphical user interface changes from Design 1 Change State Figure 2 to Design 1 Change State Diagram 3 displays the passing parking space icons and their operation prompts; in response to the user moving the passing parking space icon to the target location, the graphical user interface changes from Design 1 Change State Diagram 3 to Design 1 Change State Diagram 4 to display the relevant operation prompts; in response to the user completing the addition of the passing parking space, the graphical user interface changes from Design 1 Change State Diagram 4 to Design 1 Change State Diagram 5 to display the parking space addition result; in response to the user touching or clicking the "Submit Point" button in Design 1 Change State Diagram 5, the graphical user interface changes from Design 1 Change State Diagram 5 to Design 1 Change State Diagram 6 to display the generated driving trajectory result. In response to a user touching or clicking the "Target Parking Space" button in the main view of Design 2 and moving the target parking space icon to the target location, the graphical user interface changes from the main view of Design 2 to Design 2 Change State Figure 1 to display relevant operation prompts and the generated preview trajectory. In response to a user adding a target parking space and then touching or clicking the "Passing Parking Space" button in Design 2 Change State Figure 1 and moving the passing parking space icon to the target location, the graphical user interface changes from Design 2 Change State Figure 1 to Design 2 Change State Figure 2 to display relevant operation prompts. In response to a user adding a passing parking space, the graphical user interface changes from Design 2 Change State Figure 2 to Design 2 Change State Figure 3 to display the parking space addition result. In response to a user touching or clicking the "Submit Point" button in Design 2 Change State Figure 3, the graphical user interface changes from Design 2 Change State Figure 3 to Design 2 Change State Figure 4 to display the generated driving trajectory. In response to a user touching or clicking the "Target Parking Space" button in the main view of Design 3 and moving the target parking space icon to the target location, the graphical user interface changes from the main view of Design 3 to Design 3 Change State Diagram 1 to display relevant operation prompts and the generated preview trajectory; in response to a user completing the addition of a target parking space and touching or clicking the "Passing Parking Spaces" button in Design 3 Change State Diagram 1 to complete the addition of passing parking spaces, the graphical user interface changes from Design 3 Change State Diagram 1 to Design 3 Change State Diagram 2 to display the parking space addition result; in response to a user touching or clicking the "Submit Point" button in Design 3 Change State Diagram 2, the graphical user interface changes from Design 3 Change State Diagram 2 to Design 3 Change State Diagram 3 to display the generated driving trajectory result. In response to the user touching or clicking the "Target Parking Space" and "Passing Parking Space" buttons in the Design 4 main view and completing the addition of the target parking space and passing parking space, the graphical user interface changes from the Design 4 main view to Design 4 Change State Figure 1 to display the parking space addition result and the generated preview trajectory; in response to the user touching or clicking the "Submit Point" button in Design 4 Change State Figure 1, the graphical user interface changes from Design 4 Change State Figure 1 to Design 4 Change State Figure 2 to display the generated driving trajectory result. In response to a user touching or clicking the "Target Parking Space" and "Passing Parking Space" buttons in the Design 5 main view and completing the addition of the target parking space and passing parking space, the graphical user interface changes from the Design 5 main view to the Design 5 change state diagram to display the parking space addition result and the generated preview trajectory. In response to a user touching or clicking the "Target Parking Space" and "Passing Parking Space" buttons in the main view of Design 6 and completing the addition of the target parking space and passing parking space, the graphical user interface changes from the main view of Design 6 to Design 6 Change State Figure 1 to display the parking space addition result and the generated preview trajectory; in response to a user hovering the cursor over the target parking space icon in Design 6 Change State Figure 1, the graphical user interface changes from Design 6 Change State Figure 1 to Design 6 Change State Figure 2 to display relevant operation prompts and operation buttons; in response to a user dragging the target parking space icon in Design 6 Change State Figure 2 to the target location, the graphical user interface changes from Design 6 Change State Figure 2 to Design 6 Change State Figure 3 to display the parking space dragging result and relevant prompts. In response to a user touching or clicking the "Target Parking Space" and "Passing Parking Space" buttons in the Design 7 main view and completing the addition of the target parking space and passing parking space, the graphical user interface changes from the Design 7 main view to Design 7 Change State Figure 1 to display the parking space addition result and the generated preview trajectory; in response to a user hovering the cursor over the passing parking space icon in Design 7 Change State Figure 1, the graphical user interface changes from Design 7 Change State Figure 1 to Design 7 Change State Figure 2 to display relevant operation prompts and operation buttons; in response to a user dragging the passing parking space icon in Design 7 Change State Figure 2 to the target location, the graphical user interface changes from Design 7 Change State Figure 2 to Design 7 Change State Figure 3 to display the parking space dragging result and relevant prompts. In response to a user touching or clicking the "Target Parking Space" and "Passing Parking Space" buttons in the main view of Design 8 and completing the addition of the target parking space and passing parking space, the graphical user interface changes from the main view of Design 8 to Design 8 Change State Diagram 1 to display the parking space addition result and the generated preview trajectory; in response to a user hovering the cursor over the target parking space icon in Design 8 Change State Diagram 1, the graphical user interface changes from Design 8 Change State Diagram 1 to Design 8 Change State Diagram 2 to display the relevant operation buttons; in response to a user rotating the parking space icon to the target angle using the rotation button in Design 8 Change State Diagram 2, the graphical user interface changes from Design 8 Change State Diagram 2 to Design 8 Change State Diagram 3 to display the parking space rotation result and related prompts. In response to a user touching or clicking the "Target Parking Space" and "Passing Parking Space" buttons in the main view of Design 9 and completing the addition of the target parking space and passing parking space, the graphical user interface changes from the main view of Design 9 to Design 9 Change State Diagram 1 to display the parking space addition result and the generated preview trajectory; in response to a user hovering the cursor over the passing parking space icon in Design 9 Change State Diagram 1, the graphical user interface changes from Design 9 Change State Diagram 1 to Design 9 Change State Diagram 2 to display the relevant operation buttons; in response to a user rotating the parking space icon to the target angle using the rotation button in Design 9 Change State Diagram 2, the graphical user interface changes from Design 9 Change State Diagram 2 to Design 9 Change State Diagram 3 to display the parking space rotation result and related prompts. In response to a user touching or clicking the "Target Parking Space" and "Passing Parking Space" buttons in the main view of Design 10 and completing the addition of the target parking space and passing parking space, the graphical user interface changes from the main view of Design 10 to Design 10 Change State Figure 1 to display the parking space addition result and the generated preview trajectory; in response to a user hovering the cursor over the target parking space icon in Design 10 Change State Figure 1, the graphical user interface changes from Design 10 Change State Figure 1 to Design 10 Change State Figure 2 to display relevant operation prompts and operation buttons. 8. Other situations requiring explanation: The portion of the graphical user interface shown by the yellow dashed lines in the views of Design 1 to Design 10 does not constitute the part that is protected by this design. The pattern formed by the white dashed lines in the views of Designs 1 to 10 is part of the design patent that is to be protected. This design does not require color protection.

This invention discloses a positioning map construction method for HPA (Hyperparking Approach) and a vehicle parking method based on HPA. The method identifies parking spaces and vehicles parked in target parking areas, and constructs a positioning map based on the parking space and vehicle identification results. During HPA path playback, based on the positioning map, the method obtains the vehicle's first position information according to detected parking space or vehicle identifiers. The vehicle's self-positioning information is then corrected based on the first position information to obtain the vehicle's second position information. When preset mode switching conditions are met, the vehicle's current second position information is used as the mode switching point, controlling the vehicle to switch to parking mode and complete automatic parking. This invention improves positioning accuracy during vehicle parking by constructing a positioning map and using it to assist vehicle positioning, and also rationally arranges the vehicle's mode switching points.

The invention is entitled "Identifying cardioversion while building a position map." The invention describes a method comprising: computing a position of an intrabody probe within a heart of a subject based on an inductive signal received from an electromagnetic sensor, the intrabody probe comprising one or more electrodes and the electromagnetic sensor; determining a set of attributes of a signal transmitted between the electrode and a plurality of reference electrodes located at respective reference positions based on a set of attributes; responsive to a distance between the computed position and an estimated position being greater than a predetermined threshold, deriving an estimated position of the probe from a position map that maps the sets of attributes to respective estimated positions; determining whether an electrocardiogram signal from the subject is saturated; and responsive to the electrocardiogram signal not being saturated, updating the position map so as to map the set of attributes to the computed position. Other embodiments are described.

This application provides a display method, apparatus, system, and electronic device for a head-mounted display device. The method includes: acquiring current movement information of an external positioning device; invoking a preset image rendering thread to store the current movement information in local storage; if the local storage includes at least one historical movement information of the external positioning device, determining target movement information of the external positioning device based on the current movement information and the historical movement information; rendering a location icon of the external positioning device using the image rendering thread based on the target movement information; and displaying the rendered location icon on the spatial screen of the head-mounted display device.

1. Name of the product in this design: Main body of the graphical user interface for selecting products in electronic devices. 2. Purpose of this design: An electronic device. 3. The key design features of this product are the graphical user interface in the electronic device for which protection is sought. 4. The picture or photo that best illustrates the key design points: Design 1 front view. 5. Design 1 is designated as the basic design. 6. Purpose of Graphical User Interface: Graphical user interfaces are used for product selection. The graphical user interface requests protection for a portion used for product selection. 7. Human-computer interaction method of graphical user interface: In response to the user dragging a product item in the main view of Design 1 to another position, the graphical user interface changes from the main view of Design 1 to the change state diagram 1 of Design 1, and then changes to the change state diagram 2 of Design 1 to display the product list after updating the position and the primary and secondary product roles; In response to the user touching or clicking the "Generate Script" button in the change state diagram 2 of Design 1, the graphical user interface changes from the change state diagram 2 of Design 1 to the change state diagram 3 of Design 1 to display the anchor action matched for each product. In response to a user touch or click the "Generate Script" button in the Design 2 main view, the graphical user interface changes from the Design 2 main view to the Design 2 change state diagram to display the anchor actions matched to each product. In response to a user dragging a product item in the main view of Design 3 to another location, the graphical user interface changes from the main view of Design 3 to Design 3 Change State Diagram 1, and then to Design 3 Change State Diagram 2 to display the product list after updating the location and primary and secondary product roles; in response to a user touching or clicking the "Generate Script" button in Design 3 Change State Diagram 2, the graphical user interface changes from Design 3 Change State Diagram 2 to Design 3 Change State Diagram 3 to display the anchor actions matched to each product. In response to a user touch or click the "Generate Script" button in the Design 4 main view, the graphical user interface changes from the Design 4 main view to the Design 4 change state diagram to display the anchor actions matched to each product. 8. The portion of the graphical user interface shown by the dashed lines in the views of Design 1 to Design 4 does not constitute the part that is protected by this design.

This invention provides an AI-based method and system for analyzing the root causes of elevator malfunctions. It acquires a set of operational status event sequences recorded by the elevator operation control system, including information such as event occurrence time identifiers and event type identifiers. The system performs event association chain mining on the operational status event sequence set, generating multiple event association chain clusters. A fault root cause tracing model is invoked to perform causal path analysis on the event association chain clusters, obtaining a set of causal path analysis results. Based on the causal path analysis results set, a fault root cause node location map is constructed, clarifying the hierarchical mapping relationship between the starting and ending event nodes in each causal transmission path. Based on the fault root cause node location map, the starting event node is extracted as the elevator fault root cause, generating an elevator fault root cause location result containing the starting event node identifier and the corresponding causal transmission path. This invention can quickly and accurately locate the root cause of elevator malfunctions, improving the efficiency and accuracy of elevator fault diagnosis.

A system and method of managing configurations of rearranged servers in a data processing system (DPS). The method includes acquiring infrastructure data associated with a DPS including a first group of servers being monitored by a first group of sensors that generate a first set of sensor data and a second group of servers being monitored by a second group of sensors that generate a second set of sensor data. The method includes querying the DPS to acquire a plurality of network addresses associated with the first group of servers and the second group of servers. The method includes identifying a plurality of DPS locations of the first group of servers and the second group of servers. The method includes generating, based on the plurality of DPS locations, a server location map of the first group of servers and the second group of servers in the DPS.

55695291-1 ABSTRACT: A golf assistance device for providing mapping based information for use in a game of golf, and an associated method and computer program product. The golf assistance device comprising: a positioning system for determining a location of the golf assistance device or another location derived therefrom; an on-board memory for storing golf course 5 geospatial information of a plurality of golf courses; and processing circuitry for determining and providing golf data from one or both of: the location of the golf assistance device or the other location derived therefrom from the positioning system and the golf course geospatial information of a golf course from the plurality of golf courses stored on the on-board memory; wherein the positioning system is a multi-band positioning system 10 that receives and uses wireless signals in at least two frequency bands in order to determine the location of the golf assistance device or the other location derived therefrom. [Figure 9] 15 ABSTRACT: A golf assistance device for providing mapping based information for use in a game of golf, and an associated method and computer program product. The golf assistance device comprising: a positioning system for determining a location of the golf assistance 5 device or another location derived therefrom; an on-board memory for storing golf course geospatial information of a plurality of golf courses; and processing circuitry for determining and providing golf data from one or both of: the location of the golf assistance device or the other location derived therefrom from the positioning system and the golf course geospatial information of a golf course from the plurality of golf courses stored on 10 the on-board memory; wherein the positioning system is a multi-band positioning system that receives and uses wireless signals in at least two frequency bands in order to determine the location of the golf assistance device or the other location derived therefrom. 15 [Figure 9] 55695291-1 20 25 25 98 34 28 O ct 2 02 5 A B S T R A C T : 2 0 2 5 2 5 9 8 3 4 2 8 O c t 2 0 2 5 1 0 t h e r e f r o m . 5 5 6 9 5 2 9 1 - 1 M&C Ref: PG451124GB 7 / 8 Fig. 17 Fig. 18 Determine, using the positioning system of a golf assistance device, a location of the golf assistance device or another location derived therefrom using the received wireless signals in the at least two frequency bands (1805) Retrieve, from the on-board memory of the golf assistance system, golf course geospatial information that comprises at least golf course layout information describing a layout of a plurality of golf courses (1810) process, using the processing circuitry of the golf assistance device, at least the location of the golf assistance device or the other location derived therefrom from the positioning system with respect to at least the golf course layout information describing a layout of a golf course of the plurality of golf courses (1815) 5 1005 1010 1015 1020 1025 1050 1045 1080 7 / 8 1050 1025 5 S 1045 Selected 1005 1080 B: 175 M: 159 F: 145 1020 t 50cm to 1m + 1015 1010 Fig. 17 Determine, using the positioning system of a golf assistance device, a location of the golf assistance device or another location derived therefrom using the received wireless signals in the at least two frequency bands (1805) Retrieve, from the on-board memory of the golf assistance system, golf course geospatial information that comprises at least golf course layout information describing a layout of a plurality of golf courses (1810) process, using the processing circuitry of the golf assistance device, at least the location of the golf assistance device or the other location derived therefrom from the positioning system with respect to at least the golf course layout information describing a layout of a golf course of the plurality of golf courses (1815) Fig. 18 20 25 25 98 34 28 O ct 2 02 5 1 0 5 0 5 2 0 2 5 2 5 9 8 3 4 2 8 O c t 2 0 2 5 1 0 4 5 S e l e c t e d 1 0 2 0 t 1 0 1 0

The application discloses a glacier or ice edge landform remote sensing base map construction method and equipment, and the method comprises the steps of taking an image location map as a basic processing unit, screening remote sensing images according to preset conditions for each location map of a glacier or ice edge landform distribution area, and labeling an interpretability score for each image based on snow cover, cloud cover and cloud shadow cover; determining a main image for each location map according to the interpretability score, if the location map has only one image or the main image has met the direct interpretation requirement, no auxiliary image needs to be specified, otherwise at least one selected auxiliary image is determined; for the area affected by cloud and cloud shadow in the main image, the pixels corresponding to the cloud-free area in the auxiliary image are selected for inlay replacement to generate a cloud-removed main image of the location map; and the cloud-removed main images generated for all the location maps are inlaid and spliced to form an image base map for remote sensing information extraction covering the entire glacier or ice edge landform distribution area.

This invention relates to the field of non-destructive testing (NDT) technology in building engineering, specifically a method and system for NDT of internal defects in building structures. The method includes: simultaneously acquiring ultrasonic pulse echo, X-ray projection, and infrared thermography sequences of the target area; extracting signal features through time-frequency joint analysis; generating an internal three-dimensional density field through tomographic reconstruction and density inversion; identifying thermal resistance anomalies through transient thermal conduction analysis; fusing the above multi-physics field features and inputting them into a pre-trained deep network model to directly output the defect type, precise geometric parameters, and quantified hazard level; and automatically generating a spatial location map of the defect and a damage evolution trend prediction report based on these features. This invention achieves deep fusion and intelligent analysis of multi-source information, improves the accuracy of defect identification and quantitative assessment, and enables predictive assessment of defect development trends.

The application discloses a satellite video dense vehicle tracking method and system, comprising: extracting vehicle target features in continuous video frames based on a space-time target detector, outputting an initial detection frame and confidence, and correcting low-confidence targets caused by motion blur through a motion offset loss function guided by optical flow; extracting a road mask and constructing a distance transform field by using superpixel segmentation, and performing confidence soft attenuation on the detection frame of a non-road area; processing high and low detection sets through cascaded data association, and performing physical occlusion diagnosis and kinematic state correction on unmatched trajectories, and dynamically adjusting the trajectory life cycle in combination with topological perception; regarding online trajectory segments as graph nodes to construct a multi-modal space-time position graph, fusing time attenuation apparent consistency, spatial distance and motion direction consistency penalty calculation edge weight with time attenuation, and realizing global merging of cross-frame trajectory segments by using the Hungarian algorithm and a union-find set, and repairing trajectory fractures through linear interpolation.

Training procedure for a computer-implemented machine learning method for interpreting a sensor-acquired environmental area of ​​a vehicle, comprising the following steps: provision (110) of first sensor data; provision (120) of second sensor data, wherein the sensor data are temporally correlated and partially represent the same jointly acquired area of ​​the environment; determination (130) of a first position map by a first neural network depending on the first sensor data and optionally the second sensor data; determination (140) of a second position map by a second neural network depending on the second sensor data and optionally the first sensor data; masking (150) of the first position map and / or the second position map in at least one sub-area;and reconstruction (151) of the masking of the first location map by the first neural network and / or the masking of the second location map by the second neural network depending on the unmasked areas of the first and / or second location map; and first adjustment (152) of the weights of the first neural network and / or the second neural network depending on a first error determination between the reconstructed first features and the determined first features and / or between the reconstructed second features and the determined second features in the masked sub-area of ​​the respective location map;and / or second adjustment (160) of the weights of the first neural network and / or the second neural network depending on a second error determination between the determined first features of the first location map and the determined second features of the second location map at cells of the first and second location map corresponding to each other with respect to the position relative to the vehicle.;

This invention provides a communication satellite positioning and navigation method and system, comprising: enabling ground user access by scanning a ground grid with a signaling beam; ground users feeding back device numbers to the communication satellite, and the communication satellite using a decoder to calculate the user's phone number location; the communication satellite finding the phone number location of the most users within a grid as the representative of the network's phone number locations; using a locally stored phone number location grid, calculating the graphic matching degree of the grid within the current communication satellite coverage area, finding the closest graphic region, and calculating the center point coordinates as the communication satellite coordinates. This invention utilizes the communication satellite's own signaling beam and the characteristics of ground users to calculate the matching degree between the current communication satellite coverage area and the global phone number location map to determine the matching degree of the communication satellite, obtain the current satellite coordinates, improve the reliability of the communication satellite, and reduce the complexity of the communication satellite positioning and navigation system.

The technical scheme of the present application provides a license key information extraction method based on small sample data. The present application uses an OCR model to obtain the text and position in the picture. Then, the text, position, picture and other features are fused and input into an improved BERT model to learn the interaction between the features and output the label of each character. The adjacent characters with the same label are combined to form a field with a label. Then, the field position and field label information are input into a DenseCRF model, and the field labels are corrected according to the relative positions and angles between the fields. Since the type and position of the field in the license are relatively fixed, the DenseCRF can achieve a good correction effect. Through language model pre-training, multi-task training, artificial generation of training samples and correction based on position information, the present application realizes accurate extraction of license key information under the condition of small sample data. Only a few artificially labeled images are needed for each license to realize model training.

This application relates to the field of image processing technology, and discloses a method, image processing device, medium, and system for processing orbital images. The method includes: acquiring a first orbital image; segmenting a target of interest (ROI) in the first orbital image to obtain a first segmented image labeled with the region where the ROI is located; acquiring multiple orbital structure location images, each corresponding to a type of orbital structure; calculating the degree of overlap between the region where the ROI is located in the first segmented image and the region where the orbital structure is located in each of the orbital structure location images; and using the degree of overlap, determining the spatial positional relationship between the ROI and each orbital structure to obtain the image processing result corresponding to the first orbital image. By implementing the method of this application, the spatial positional relationship between the ROI and the orbital structure can be automatically and accurately determined.

The invention relates to a calibration method for calibrating a position of at least two spots illuminating a performance environment with radiation, comprising: selecting a calibration location inside the performance environment; emitting a spot identifier from each of the at least two spots; receiving the emitted spot identifiers at the calibration location; determining a variable per spot using the received spot identifiers; and calculating the position of the at least two spots based on the respective variables. Figure 3

A path planning system for battery optimization according to one embodiment of the present invention comprises: a map generation unit that generates a map including a charging station for a robot; a position setting unit that sets an initial position and a target position of the robot; a graph generation unit that generates a graph on the basis of a minimum coverage node; and a path planning unit that plans a path of the robot on the basis of a hierarchical heuristic algorithm.

The invention relates to a method for operating a communication system (10) for a motor vehicle (20), wherein the motor vehicle (20) provides a first communication area (23) for data communication (K) with a communication device (30). A position map (P) with at least one position in the vicinity of the motor vehicle (20) is autonomously determined by means of at least one drone (21). At each of these positions, a second communication area (24), distinct from the first, is provided for the motor vehicle (20) for data communication (K) with the communication device (30). A repositioning signal (R) is transmitted to the motor vehicle (20) by means of the at least one drone (21), wherein the repositioning signal (R) contains the at least one position of the determined position map (P), so that the motor vehicle (20) can be repositioned from its current position to the at least one position.When positioning at least one position, the motor vehicle (20) is connected to the vehicle-external communication device (30) for data communication (K).

This invention discloses a method, system, and medium for controlling the inbound and outbound movement of goods, relating to the fields of Industrial Internet of Things (IIoT) and warehouse management. The method includes: creating a task to be executed when the current inbound / outbound request meets the task creation conditions; allocating virtual storage locations to the corresponding boxes of goods for the task to be executed based on a virtual storage location occupancy heatmap and storage age distribution map when the task type is an inbound task; binding the inbound information of the boxes to the target physical storage location mapped by the allocated virtual storage location after the boxes are moved to the location; and issuing the outbound boxes according to the first-in, first-out (FIFO) principle when the task type is an outbound task. The technical solution of this invention can improve the intelligence level of inbound / outbound management, achieve accurate tracking and positioning of boxes of goods, and optimize production scheduling.

This disclosure relates to a facility management system and management method based on edge computing, electronic devices, non-transitory computer-readable storage media, and computer program products. The facility management system includes: a data interaction module configured to collect physical location data of field devices and issue control commands to the field devices; a virtual location module configured to create virtual locations mapped to physical locations or used to store intermediate computational data, and to perform read / write operations and data caching operations on the virtual locations; and an edge control module configured to run user-defined control logic scripts, which perform logical operations by reading virtual location values ​​from the virtual location module and write the results to the corresponding virtual locations to trigger the data interaction module to issue control commands to the field devices.

This invention discloses a monocular dynamic Gaussian human body reconstruction method based on multi-task and sparse attention, relating to the field of 3D visual reconstruction. The method acquires a monocular video sequence and a parameterized human body model, initializes a 3D Gaussian point cloud based on discrete sampling of a standardized grid UV position map; constructs a deformation network including a pose encoder, channel attention, and spatial sparse attention; extracts unified high-dimensional features based on a low-level parameter sharing mechanism, and outputs the position offset, scale, and color residuals of Gaussian primitives in parallel via a multi-task decoder, while forcibly fixing their rotation and opacity properties; maps the Gaussian primitives to the observation space using a linear hybrid skinning algorithm; finally, synthesizes images through differentiable rendering and performs end-to-end two-stage optimization using a multi-task loss function. This invention significantly reduces memory consumption, eliminates floating object artifacts, improves geometric accuracy and high-frequency texture reconstruction quality, and supports reference video-driven pose imitation and new video generation.

A method for mapping functionally related brain regions of a subject. The method includes receiving a structural brain image and a dataset of resting-state functional MRI (rs-fMRI) three-dimensional (3D) image frames of a brain of the subject includes 3D image frames of the subject's brain over time. A functional connectivity map identifying groupings of functionally connected voxels is overlaid on the structural brain image. Spontaneous brain activations associated with each voxel in a grouping of functionally connected voxels are time-correlated with spontaneous brain activations in one or more other voxels in the grouping of functionally connected voxels. A reference location map for a pre-defined resting state network is generated, including reference information output. The reference location map includes brain reference locations that are informative of the one or more resting-state networks to assist a user in identifying the resting state network of the functional connectivity map.

The invention relates to visual and wireless joint three-dimensional mapping and advanced driver assistance systems for autonomous vehicles. A system for mapping an outdoor environment includes at least one map comprising an access point (AP) location map and a reflector map generated from a plurality of wireless signals collected by a plurality of automotive vehicles. As at least one of the plurality of automotive vehicles traverses a mapped area, a crowd-sourced dataset is collected from individual vehicles of the plurality of automotive vehicles and sourced from a plurality of perception sensors. A data packet is created from the crowd-sourced dataset, the data packet comprising a set of wireless positioning samples and a set of visual features, the data packet being communicated to a cloud-based database where cloud-based mapping is performed. A plurality of distance measurements yields a circular AP candidate location within a free space operating window of a vehicle operation of the plurality of automotive vehicles. Application of a plurality of reflectors defined at a plurality of planar reflective surfaces adds to the AP candidate location.

This invention provides a high-speed visual online inspection system for bottle cap appearance defects and dimensional deviations, comprising: a bottle cap pose module for acquiring input data packets and detection formulas, and conveying bottle caps in a single row with equal spacing; an image acquisition module for acquiring a multi-source image set of bottle caps; a standardization module for performing geometric normalization, illumination normalization, and reflection decomposition based on the multi-source image set to obtain a standardized multi-view image package; a ROI mask module for performing structure-aware partitioning on the standardized multi-view image package to obtain a structured ROI mask; a size vector module for extracting backlight contours, size components, height components, and thread anomaly indicators, and outputting a size vector; an appearance defect detection module for performing geometric detection and supervised learning detection to form a final defect location map; and a constraint judgment module for risk judgment and process parameter optimization. This invention enables high-precision, low-fluctuation, traceable, and process-optimizable automatic detection of bottle cap dimensions and appearance defects.