2264 results about "Location determination" patented technology

The invention discloses a building robot multi-machine linkage construction method and system based on intelligent scheduling, electronic equipment and a storage medium, and relates to the technical field of construction control. The method comprises the following steps: acquiring design drawing information and landform environment information of a to-be-constructed area; based on the design drawing information and the landform environment information, constructing a BIM model of the to-be-constructed area; determining process stages of a plurality of construction points in the to-be-constructed area, and matching building robot selection schemes corresponding to the construction points based on the process stages; for each construction point, according to the position of the construction point in the target BIM model, determining navigation paths of a plurality of different types of building robots in the building robot selection scheme; and receiving preset operation tasks corresponding to the different types of building robots, and controlling the different types of building robots to construct the construction site in combination with the navigation paths and the preset operation tasks. By implementing the technical scheme provided by the invention, the effect of improving the building construction efficiency is achieved.

The present application discloses a method, system, and computer system for providing a unified map and performing an active measure for re-routing transport based on one or more hazards along a current route. The method includes obtaining context information for a managed vehicle, obtaining map data, determining, based at least in part on the context information and the map data, whether the managed vehicle is parked in an unsafe location, in response to determining that the managed vehicle is parked in the unsafe location, determining whether to perform an active measure with respect to the managed vehicle, and in response to determining to perform the active measure, performing the active measure.

The invention provides a multi-source data fusion distribution processing analysis method and system, and relates to the technical field of data processing, and the method comprises the steps: obtaining heterogeneous sensor data, constructing a multi-dimensional data structure, and identifying a missing or abnormal sampling position; determining an associated neighborhood and obtaining historical observation data to construct a memory state sequence; memory type state reconstruction is executed to generate completion candidate data and confidence weight, a complete multi-dimensional data structure is generated after fusion, and the reliability of the whole completion process is quantified; and dividing the multi-dimensional data structure to different processing nodes, executing cross-node synchronization, then carrying out multi-modal conjoint analysis, and outputting a fusion analysis result and a confidence index. According to the invention, the data fusion analysis precision and efficiency are improved.

The invention discloses an automatic three-dimensional reconstruction method and system based on power transmission corridor point cloud. The method comprises the following steps: acquiring data and exporting point cloud data; noise points, outliers and ground points are removed from the acquired point cloud data of the power transmission corridor, and down-sampling is performed on the point cloud with a large data volume; performing clustering segmentation on the preprocessed point cloud of the power transmission corridor, positioning the position of a tower, determining a point cloud range of a power line, and removing point clouds of other objects on the ground; aiming at the structural characteristics of a power line and an insulator in the power transmission line, extracting point clouds of the power line, the insulator and a tower by adopting a geometric constraint principal component analysis (PCA) algorithm; performing automatic geometric model reconstruction on the tower, insulator and power line point clouds according to different reconstruction rules to generate each module grid model; and transforming the grid model of each module, restoring the grid model to the original position of the point cloud, and generating a power transmission line digital twin model conforming to the real size. According to the method, automatic segmentation, classification and real-time reconstruction can be accurately carried out on the point cloud of the power transmission corridor.

An entity in a wireless communication network may request information regarding a wireless device location. Positioning measurement(s) by a base station may be used for determining the wireless device location. Wireless device location information, based on the positioning measurement(s), may be communicated to a network device, via a user plane transmission, to indicate the location of the wireless device with improved accuracy.

Disclosed are techniques for localization of an object. For example, a device can generate, based on sensor data obtained from sensor(s) associated with an object, a predicted map comprising predicted nodes associated with a predicted location of the object within an environment. The device can receive a high definition (HD) map comprising HD nodes associated with a HD location of the object within the environment. The device can further match the predicted nodes with the HD nodes to determine pair(s) of matched nodes between the predicted map and the HD map. The device can determine, based on a comparison between nodes in each pair of the pair(s) of matched nodes, a respective node score for each pair of the pair(s) of matched nodes. The device can determine, based on the respective node score for each pair of the pair(s) of matched nodes, a location of the object within the environment.

The invention relates to the technical field of incremental training, and particularly discloses a method for large model incremental training, comprising the following steps: S1, obtaining a target data set based on an industry corpus data set, dividing the target data set into sub-data sets, obtaining quality indexes of the sub-data sets, and determining quality scores of the sub-data sets; s2, acquiring a first sequence, and determining a performance score of the universal model from the first sub-data set in the first sequence; calculating a performance score difference value, and determining whether the state is an abnormal state or not according to a performance score difference value threshold value; s3, coordinate points are generated and fitted to obtain a fitted curve, and abnormal sorting positions are obtained according to the fitted curve; and determining a target model according to the abnormal sorting position, and performing incremental training on the target model through the to-be-determined data set. According to the method, the negative influence of low-quality data on the model can be reduced, the adaptability of the model to new domain knowledge is improved, and the problem of performance degradation is avoided.

The invention belongs to the technical field of aircraft design, and discloses an airfoil structure virtual test loading analysis method based on digital simulation, which comprises the following steps of: firstly, carrying out detail finite element modeling according to an airfoil structure digital model, the attribute of the connecting piece is calculated and assigned according to the simplification principle of a bush unit, and the center coordinate of a loading point is determined according to the position of an adhesive tape or a pull-press block in the test partial load scheme; simulation analysis is carried out after loading is completed, loading is carried out according to the initial load direction, the load is discretized to a single loading point, then the single loading point is recorded, coordinates of a center node of the loading point and coordinates of an actuator connecting point after deformation are obtained, then the direction of a loading vector is obtained, all loading points of the simulation model are loaded, and a simulation result is obtained. After analysis is carried out, linear / nonlinear static force, buckling and post-buckling calculation is carried out; analyzing a stress-strain identification test risk position according to a calculation result, and pasting a strain gauge. The method can guide the design of a loading scheme in an airfoil structure test, improves the calculation precision, recognizes the test risk, avoids the loss of a test piece, and reduces the test cost.

Methods and apparatuses (e.g., tracking system, tracking devices, etc.) for tracking a subject to prevent elopement. The methods and apparatuses described herein may be used to prevent elopement from health care environments. The methods and apparatuses may be specifically configured to provide energy and cost efficient mechanisms to prevent elopement and to track subjects. For example, these methods and apparatuses may monitor, using a wearable tracking device, low-energy sensor data and determining whether the sensor data exceeds a threshold. If the sensor data exceeds a threshold, then the tracking device can turn on scanning for a wireless signals associated with a known location, and / or activate a location-determining subsystem of the tracking device and transmit location information and / or an alert to a remote processor.

The invention discloses a document comparison traceability method and device and a computer storage medium, and relates to the technical field of artificial intelligence, and the method comprises the steps: in response to a traceability request for a difference fragment, determining the range of the difference fragment in an original document according to the difference fragment and a difference position corresponding to the difference fragment, identifying the text in the range as a target text; splitting the target text into independent text segments according to separators, comparing the text segments with the difference segments, and determining the similarity between each text segment and the difference segment; and taking the text fragments with the similarity reaching or exceeding a preset threshold as candidate fragments, determining the text fragment with the highest similarity from the candidate fragments as a tracing fragment, and returning position coordinates of the tracing fragment in the original document. By receiving the traceability requests of the difference fragments and the difference positions and positioning the difference range, the traceability analysis range is effectively reduced, and the accuracy of document comparison traceability is improved.

The invention relates to a computer-implemented method for identifying at least one area of interest from a region of interest. The method comprises: obtaining a plurality of geo-information data over the region of interest for a geological time interval, the geo-information data comprising at least carbonate reference locations wherein marine carbonate sediments are observed, obtaining at least one paleo-digital elevation model of the region of interest, providing an Earth system model with a plurality of input sets of modeling parameters and obtaining output sets of paleoenvironmental parameters, determining a plurality of representative paleoenvironmental parameters for each carbonate reference location from the plurality of output sets of paleoenvironmental parameters, grouping at least a part of the carbonate reference locations into at least one group of carbonate reference locations defined as carbonate factory, and computing a susceptibility of occurrence of the carbonate factory.

Techniques and systems are provided for performing data transfers. For instance, a process can include receiving an indication to perform a data transfer; determining, based on a feature map of an environment, a location of an extended reality (XR) device in the environment; determining a first pose of the XR device; obtaining, from the feature map, location information for a target device in the environment; identifying the target device based on the location and the first pose of the XR device; transmitting, to the target device in response to the indication to perform the data transfer, a request to initiate the data transfer; receiving a second pose of the target device; and performing the data transfer based on the received second pose and the first pose of the XR device.

An uncrewed aerial vehicle (UAV) may be configured to hover above a particular charging pad within a portion of a cluster of charging pads for UAVs. The cluster may include the charging pads arranged in a layout and fiducial markers distributed at positions across the layout. While hovering above the particular charging pad, the UAV may capture an aerial image of the portion of the cluster. The UAV may derive cluster-portion observation data from the image, the cluster-portion observation data including information indicating a position of the particular charging pad, and positions of one or more fiducial markers within the portion of the cluster relative to the particular charging pad. The UAV may send the cluster-portion observation data to a computing system in an infrastructure support network for UAVs, and thereafter receive, from the computing system, location information indicating that UAV's geolocation is a geolocation of the particular charging pad.

The invention provides a component position determination method and system. The method comprises the steps of obtaining product model information of a product corresponding to a target order; according to the product model information, a target product model process rule is obtained through matching from a preset product model process rule database, and the target product model process rule comprises component attribute information of the product; based on the target product model process rule, obtaining material type information of parts required by the product, and determining each part required during production of the product according to the material type information; and based on the hierarchical structure type of the target order, according to the component attribute information, obtaining installation position information of each component from a corresponding bill of materials in the target product model process rule. According to the invention, the accuracy and the production efficiency of the intelligent manufacturing process are improved.

The invention relates to a substation operation risk identification method based on a multi-view video and high-precision positioning, and the method comprises the steps: obtaining monitoring video streaming images of a plurality of monitoring video point locations, and extracting the image features of an operator; rejecting monitoring video stream images with unclear or incomplete image features of operators; the coordinates of the operating personnel are determined through a Beidou high-precision positioning system or a UWB high-precision positioning system or a system combining the Beidou high-precision positioning system and the UWB high-precision positioning system, and the spatial position of the operating personnel is determined by combining the distances between the operating personnel and a plurality of monitors; determining a current operation process and link according to the spatial position of the operator; and judging the operation risk behavior type of the operating personnel in the current operation process and link according to the image features of the operating personnel and the spatial position of the operating personnel. According to the method, the problems that in the prior art, due to equipment shielding and illumination angle problems in a transformer substation, personnel operation risk behaviors cannot be accurately recognized through monitoring, and misjudgment is caused due to the fact that the spatial distance cannot be accurately quantified are solved.

The present disclosure provides systems and methods for improving detection and location determination accuracy of abnormalities during a gastroenterological procedure. One example method includes obtaining a video data stream generated by an endoscopic device during a gastroenterological procedure for a patient. The method includes generating a three-dimensional model of at least a portion of an anatomical structure viewed by the endoscopic device based at least in part on the video data stream. The method includes obtaining location data associated with one or more detected abnormalities based on localization data generated from the video data stream of the endoscopic device. The method includes generating a visual presentation of the three-dimensional model and the location data associated with the one or more detected abnormalities; and providing the visual presentation of the three-dimensional model and the location data associated with the detected abnormality for use in diagnosis of the patient.

A solution for sidelink-assisted positioning of a terminal device. In an embodiment, a procedure in the terminal device includes transmitting, over a sidelink, a message including at least one information element requesting at least one anchor terminal device to report its location to the terminal device; receiving, over the sidelink from the at least one anchor terminal device, a location report including at least one information element indicating a location of the reporting anchor terminal device and an accuracy metric indicating accuracy of the location; determining a location estimate of the terminal device based on the accuracy metric and the location of the at least one anchor terminal device.

The invention provides a method, a device and equipment for determining the position of a local area network user and a storage medium. The method comprises the following steps: sending a first query request to target management equipment through position query equipment; the target management device determines a user state corresponding to the user identifier; under the condition that the user state is an online state, the target management equipment determines a home broadband account accessed by the local area network user; the target management equipment feeds back a corresponding first query result to the position query equipment; and the position query device determines the position information of the local area network user according to the household broadband account. According to the method, the position information of the user determined by the acquired home broadband account of the local area network user has real-time performance, so that the position information of the local area network user can be accurately reflected, and the positioning result is more accurate.

The invention provides an indoor positioning method and system based on vision, geomagnetism and inertial navigation, and the method comprises the steps: obtaining inertial navigation data, and determining a local region where a target object is located in an indoor space according to the inertial navigation data; wherein the inertial navigation data is obtained by a positioning device carried by a target object; obtaining a visual image of the local area, and determining the position of the target object in a pre-constructed spatial model according to the visual image to obtain a first position; determining a target range according to the first position, and simulating an environment magnetic field around the target object under the condition that the magnetic disturbance object exists in the target range; real-time magnetic field data is obtained, the real-time magnetic field data is obtained through measurement of magnetic field measurement equipment carried by the target object, the real-time magnetic field data is matched with the environment magnetic field, the specific position of the target object in the local area is determined, and a second position is obtained. According to the invention, multiple positioning technologies are fused, and the indoor positioning accuracy can be further improved.

A radio-wave sensor installation assistance device includes: a target position determination unit that determines a target position to be irradiated with a radio wave emitted from a radio-wave sensor, in an image including a crosswalk; a candidate position designation unit that receives designation of a candidate position to install the radio-wave sensor; and a display control unit that causes a display device to display a radio-wave irradiation range of the radio-wave sensor so as to be superimposed on the image, the radio-wave irradiation range being determined based on the target position and the candidate position. The candidate position designation unit can receive an instruction of a movement of the designated candidate position. The display control unit changes the shape of the radio-wave irradiation range according to the instructed movement of the candidate position, with the target position being fixed.

The technology described herein is directed towards obtaining an estimated location of user equipment, based on measured round trip time data and angle of arrival data to correct the measured round trip time data into virtual round trip time data, including for non-line of sight communication links from an unknown location of a user equipment and a transmit-receive point in an environment. The virtual round trip time data obtained from transmit-receive points is combined into a vector dataset input to a line of sight-based position determination / calculation function to obtain the estimated user equipment location. Correction can be per transmit-receive point, e.g., via a trained AI / ML (artificial intelligence / machine learning) model for the transmit-receive point, analytical function or lookup table-based correction module.

Systems and method are directed towards dynamically determining how to provision networking services. First and second user plane functions are initialized for first and second service areas, respectively. The second service area and the first service area share an overlap area. A request is received from a user equipment to connect to a network, and a location of the user equipment is identified. Determination is made whether the location is in the overlap area. In response to the location being in the overlap area, a first load of the first user plane function and a second load of the second user plane function are determined. In response to the first load exceeding the second load, the user equipment is connected to the second user plane function. In response to the second load exceeding the first load, the user equipment is connected to the first user plane function.

The invention discloses a transition area personnel positioning method and system based on dynamic link inference, and the method comprises the steps: positioning a transition area, activating and scanning surrounding Bluetooth equipment through mobile terminal equipment, and providing basic data for link generation; estimating an initial position; determining a first-level anchor point, and determining a preset-level anchor point according to a weight decline method; generating a preliminary link based on the Bluetooth parameter data, distributing a weight for each node, and calculating an optimal path; and forming a plurality of candidate paths according to the position information between the anchor points and the equipment, comprehensively processing the information of different candidate paths, and deducing the final position of the equipment. According to the method, in the transition area of the outer edge of the building, RSSI, AoA and multi-path inference technologies are combined, self-adaptive link optimization can be achieved, real-time monitoring and positioning path adjustment can be achieved, anchor point resources are effectively utilized for position inference through anchor point hierarchical management and a weight decreasing mechanism, and the positioning precision is enhanced.

The invention relates to the technical field of laser marking, in particular to a jeans cat whisker effect laser manufacturing method and system, and the method comprises the following steps: scanning the position on jeans through a laser marking machine, determining the starting point position and pattern contour of a cat whisker pattern, collecting and recording pattern coordinates, and generating laser starting point position data. According to the method, the starting point and the contour of the pattern are determined through accurate scanning, the fineness of the pattern and the positioning accuracy are ensured, the depth of the pattern is finely controlled by dynamically adjusting laser parameters and adjusting the intensity and the pulse of the laser according to data monitored in real time, the quality and the consistency of the pattern are remarkably improved, and the later correction requirement is reduced; based on real-time pattern standard conformity data, the marking effect is evaluated and re-marking is carried out when necessary, high standard and low error rate of products are further ensured through iterative optimization, laser marking is more accurate, and modern production requirements of environmental protection and efficiency are better met.

The invention provides a space error compensation method, device and equipment and a computer storage medium, and belongs to the technical field of precision machine manufacturing, and the space error compensation method comprises the steps: in an offline mode, based on target space error data, determining a compensation model; and in the current interpolation period of the machine tool, determining the compensated coordinate point of the current interpolation period based on the compensation model and the target position of the current interpolation period. The machining track of the machine tool can be corrected in real time in the machining process.

The invention provides a reference line generation method, an automatic driving method and device, equipment and a vehicle, and relates to the field of artificial intelligence, in particular to the field of automatic driving. According to the specific implementation scheme, for at least one obstacle located in a target area in a road, the category of the obstacle is determined according to a first motion parameter of the obstacle in a historical time period, and the category of the obstacle represents the relative relation between the obstacle and a target vehicle; under the condition that the at least one obstacle comprises the target obstacle belonging to the target category, determining any candidate node in a plurality of candidate nodes determined for the position of the target vehicle, and determining the total cost value of the candidate nodes according to the historical driving track of the target obstacle and the second motion parameter of the candidate node; determining a target region reference line according to a target node determined by using the total cost values of the plurality of candidate nodes; wherein the target area reference line is used for planning a target driving track of the target vehicle.

The invention provides a robot path planning method and system based on multi-strategy improvement and a medium, and relates to the technical field of path planning, and the method comprises the following steps: building a grid map of a ground environment based on a positioning navigation system, and correcting and supplementing the grid map in combination with environment information sensed by a robot in real time; according to the corrected and supplemented grid map, an objective function of robot path planning is established; according to the objective function, performing optimal position updating through an improved mouse group optimization algorithm, and determining an optimal mouse position; wherein the improved mouse group optimization algorithm is that a position updating formula of an original mouse group optimization algorithm is improved by introducing a position updating mechanism of a teaching and learning optimization algorithm and an education competition optimization algorithm. And determining an optimal path planning result according to the optimal mouse positions which are sequentially updated according to a preset maximum iteration number. According to the method, the problem of local optimum existing in an existing path planning method is solved, and the robot path planning effect can be effectively improved.

The invention discloses an unmanned aerial vehicle cluster moving target searching method and device, and the method comprises the steps: determining a probability expectation value and a freshness value of a grid where an unmanned aerial vehicle is located when M unmanned aerial vehicles search N targets in a searching region; determining a local probability expectation matrix and a global probability expectation matrix of the grids according to the probability expectation values, and determining a local freshness matrix and a global freshness matrix of the grids according to the freshness values; determining an action decision matrix according to the probability expectation decision matrix, the freshness decision matrix, the exploration task weight and the search task weight; and according to the action decision matrix, determining a target grid which maximizes the minimum probability value of the freshness value, and according to the position of the target grid, determining the next motion direction of the unmanned aerial vehicle. According to the scheme, the target position probability information and the prior information collected previously are utilized at the same time, the target with the known position and the target with the unknown position can be searched, and therefore target searching can be more efficient and accurate in a real scene.

A position estimation unit 25 estimates, for each movement in a predetermined section, a plurality of position candidates of a position estimation target on the basis of position information and sensor information. A position determination unit 26 evaluates, for each movement in the predetermined section, on the basis of the plurality of position candidates of the position estimation target obtained by the movement in the predetermined section, whether the position information used to estimate the position candidates has an error caused by any of a position of a GPS satellite, a position of a mobile body in a real space, or the mobile body or does not have any error caused thereby. The position determination unit 26 determines a final output value of the position of the position estimation target on the basis of a result obtained by removing, from the plurality of estimated position candidates of the position estimation target in the plurality of times of the movement in the predetermined section, a position candidate of the position estimation target estimated in the movement in the predetermined section that has been evaluated to have the error.