49 results about "Geo referencing" patented technology

A system for AI-supported leak detection and localization in water distribution infrastructures, consisting of: a large number of distributed sensor nodes mounted along a water pipe, each sensor node comprising the following: a pressure sensor configured to measure local hydraulic pressure fluctuations within the pipeline with a resolution of at least 0.01 bar; a flow sensor configured to measure the volume flow within the pipeline with an accuracy of at least ±0.5% of the measured value; an acoustic sensor configured to detect vibration signatures caused by leaks in a frequency range between 50 Hz and 20 kHz; an embedded microcontroller with integrated analog-to-digital conversion circuitry for digitizing sensor outputs; a wireless communication module configured to transmit time-synchronized sensor data to a cloud-based processing platform; and a local energy subsystem with a rechargeable battery and an optional circuit for generating photovoltaic energy; the cloud-based processing platform includes an artificial intelligence engine that comprises the following: a data acquisition module configured to receive and decode the transmitted sensor data and to perform time alignment; a supervised learning module that is trained on historical data of flagged leaks and non-leaks to classify incoming sensor patterns; an unsupervised learning module configured to detect anomalies by modeling normal operating baselines of the pipeline; and a topology-aware localization module configured to determine leak coordinates using the topology of the pipeline network, modeling the propagation of hydraulic waves, and estimating the arrival time difference from multi-node acoustic detections; and wherein the system is configured to provide real-time leak alerts and georeferenced visualization via a remote monitoring interface.

A system and method is provided for measurements of building façade elements by combining ground-level and orthogonal imagery. The measurements of the dimension of building façade elements are based on ground-level imagery that is scaled and geo-referenced using orthogonal imagery. The method continues by creating a tabular dataset of measurements for one or more architectural elements such as siding (e.g., aluminum, vinyl, wood, brick and / or paint), windows or doors. The tabular dataset can be part of an estimate report.

The invention belongs to the technical field of geographic information, and discloses a Karst large round depression identification method based on DEM data. The identification method comprises the following specific steps of S1, DEM data preprocessing; S2, standard template construction; S3, sliding window mechanism design; S4, round depression form template construction; through a standardized data processing flow and an automatic coordinate conversion technology, full-flow automation from data input to identification output is realized, the identification accuracy is high, benefit from an advanced discrimination method integrating a plurality of characteristic indexes and accurate space positioning is achieved, a unified quantitative evaluation standard is established for ensuring the reliability of a result, and the method is suitable for popularization and application. A complete coordinate conversion and data processing mechanism is built in, in addition, wide applicability is shown, and the method can flexibly adapt to DEM data of different geographic reference systems and resolutions.

The invention relates to a method of determining one or more conditions, of a geographical line, GL, or its surroundings. The method comprises: acquiring geo-referenced earth observation data representing one or more spatially overlapping imagery layers covering from an aerial or space perspective a specific region of interest, ROI, of the Earth's surface, the ROI comprising the GL; geometrically transforming the geo-referenced observation data, at least in parts, into a local internal frame of reference of the GL within the ROI to obtain a mapping of the geo-referenced observation data to respective corresponding coordinates within the local internal frame of reference of the GL; and evaluating the mapped earth observation data as represented in the local internal frame of reference of the GL according to a classification scheme to obtain therefrom evaluation data representing a classification of one or more properties of the GL or of its surroundings according to one or more conditions of the GL.

A testing method for an optical fiber is provided. The method involves the use of a P-OTDR device to launch polarized light pulses from the P-OTDR device into the fiber extremity of an optical fiber and obtain a return light signal. Concurrently, a polarization state of light travelling in a distal fiber segment is varied, a polarization component of the return light signal is isolated, and a set of P-OTDR traces are acquired. The set of P-OTDR traces is processed to detect a change in polarization of the return light signal. Upon detecting such a change an information relative to the distal fiber segment and the fiber extremity can be reported. The method may for example be used as a fiber identification method or a geo-referencing method. A P-OTDR device is also provided.

A system and method for closed-loop tracking of advertising events through offer redemption with artificial intelligence feedback. A session identifier links device, pass, content, and contextual data throughout a content playback session. Advertisements dynamically inserted into the content stream inherit the session identifier. An offer platform generates offers linked to the session identifier and pass identifier, enabling tracking through distinct lifecycle states from push to redemption. A database captures timestamped and geo-referenced data for each event. An artificial intelligence engine uses redemption and avail events as verified ground-truth outcomes for training machine learning models, enabling supervised learning that establishes causal relationships between ad exposure and purchasing activity. An inventory gateway receives merchant product inventory data. An optimization engine employs demand forecasting and reinforcement learning to generate inventory-driven triggers and offer recommendations. A merchant interface presents analytics for inventory optimization.

A method detects a spatial arrangement of a physical object by assigning an attribute to a selection of uniquely identifiable global grid elements of a reference grid network. The method includes providing a global reference grid network with a geographical reference point defined vector-object-independently and global grid elements, which are adjacent to one another without overlap and are uniquely identifiable within the global reference grid network and are georeferenced with regard to a provided reference coordinate system, providing a vector object with at least one vertex, to which a geographical coordinate of the geographical reference coordinate system is assigned, determining and selecting those global grid elements that overlap with the vector object, and assigning an object attribute linked with the vector object or a further attribute to the grid elements selected and storing the selected grid elements with assigned attributes.

The present invention belongs to the field of engineering inspection technology, and specifically relates to a method and system for generating engineering inspection trajectories based on panoramic images. Panoramic camera equipment is used to perform automatic inspections along a preset path or a path dynamically generated by an intelligent planning algorithm, thereby reducing the need for manual operation. A panoramic video data set with geographic reference is formed through spatial position and plane map attachment technology, ensuring that each photo and each frame of the image has precise spatial positioning, facilitating subsequent detailed analysis and visual display. The digitally collected data is transmitted to a central processing system in real time. Combined with the movement trajectory and timestamp information of the inspection personnel, the method of the present invention not only improves the automation level and data accuracy of engineering inspections, but also provides strong support for data analysis and decision-making after the inspection, thereby promoting the development of engineering management and monitoring to a higher level of intelligence and automation.

The invention discloses a robust measurable modeling method fusing three-dimensional reconstruction and geographical registration, and belongs to the technical field of three-dimensional modeling. The method comprises the following steps: acquiring source point cloud data generated by three-dimensional reconstruction and target point cloud data with geographic coordinate reference; initial registration is completed based on a Umeyama algorithm; performing iterative optimization on the initial transformation parameters by adopting a Meishan-iterative reweighted least square-Huber weight algorithm, realizing geographic registration through robust standard deviation estimation, Huber weight distribution and convergence judgment, and generating a measurable geographic space three-dimensional model; volume calculation, distance measurement and spatial analysis can be performed based on the model. According to the method, noise and abnormal point interference are suppressed through a robust iterative optimization mechanism, the registration precision is high, the generated model has unified geographic coordinate reference and high-precision measurement functions, the problems that a traditional three-dimensional model lacks geographic reference and is poor in noise immunity are solved, and the method can be widely applied to scenes such as engineering surveying and mapping and space planning.

The present invention concerns a method for calculating one or more isovists of a physical or extended reality environment, comprising the steps of: providing at least one electronic acquisition apparatus configured to obtain a plurality of georeferenced and physiological, and / or psychological, and / or environmental, and / or perceptual and / or demographic data, and to take a frame of the physical or extended reality environment, detect physiological variations and / or environmental variations; calculating a behaviour indicator comprising at least one positioning parameter for each user from the georeferenced data acquired by means of electronic acquisition apparatus; calculating a perception indicator comprising at least one or more physiological and / or environmental parameters for each user by means of electronic acquisition apparatus; providing a relationship identifying algorithm; identifying for each user one or more statistically significant physiological and / or environmental parameters by means of the relationship identifying algorithm by identifying a relationship between the positioning parameter and the aforesaid physiological and / or environmental parameters; associating for each user the positioning parameter with the identified, statistically significant parameters to define respective data units; defining a positioning threshold and a physiological and / or environmental threshold; grouping into respective experience sets data units having respective statistically significant physiological and / or environmental parameters differing from each other by a value lower than the respective threshold and respective positioning parameters differing from each other by a value lower than the positioning threshold, calculating at least one isovist for each experience set; representing each isovist calculated in a graphic interface of an electronic display apparatus.

Method for supporting data communication between a computing unit (2) of a vehicle (1) and at least one vehicle-external service server (10) using a support system (8) separate from the vehicle (1) and the service server (10), which communicates with the computing unit (2) of the vehicle (1) and the at least one service server (10), comprising the steps: - Receiving a georeference (GR) by the support system (8) from the service server (10) and determining a map-specific map reference (KR) associated with the received georeference (GR) in a digital map of the support system (8) by the support system (8) using a georeferencing procedure associated with the received georeference (GR), - Generating a unique code (X1 to XX) for the determined map reference (KR) by the support system (8) and storing the code (X1 to XX) assigned to the determined map reference (KR) and / or the received georeference (GR) in a memory of the support system (8), wherein the code (X1 to XX) is formed by a smaller amount of data compared to the received georeference (GR), - Receiving the code (X1 to XX) by the computing unit (2) of the vehicle (1), - Transmission of a request message with the code (X1 to XX) from the computing unit (2) of the vehicle (1) to the support system (8), wherein the request message instructs the support system (8) to transmit to the computing unit (2) of the vehicle (1) a georeference (GR) associated with the code (X1 to XX) and generated according to a georeferencing procedure defined by the request message and / or a map reference (KR) associated with the code (X1 to XX) and suitable for a digital map format defined by the request message, and - Transferring the georeference (GR) and / or the appropriate map reference (KR) defined by the request message from the support system (8) to the computing unit (2) of the vehicle (1) based on the received request message.

The invention discloses a farmland boundary construction and operation area calculation method and device, a system and a storage medium. The method comprises the following steps: acquiring a farmland image and GNSS / IMU metadata thereof; according to the farmland image and the GNSS / IMU metadata thereof, extracting semantic features for distinguishing crops, ridges and non-cultivated land and capturing detail features for fine trend of the ridges; simulating a surveying and mapping person to walk along the ridge for dotting according to the semantic features and the detail features to obtain ridge polygon vertexes; obtaining an offset field from each pixel to a geographic coordinate according to the GNSS / IMU metadata; according to the ridge polygon vertexes and the offset field, obtaining a geographical polygon; obtaining a prediction area according to the geographical polygon; and outputting a georeferenced vector boundary and a credible surface based on end-to-end training optimization. By adopting the technical scheme of the invention, the precision of the operation area of the agricultural machine is greatly improved, and the field map distribution is accurately obtained.

A system and a method include identifying characteristics of a map of a geographic location, and placing plural first lines of longitude and plural first lines of latitude of the map based in part on the characteristics. The first lines of longitude and latitude intersect with each other to create plural theoretical intersections. A magnification of a segment of the map, that includes the first theoretical intersection, is changed. One or more edges associated with one or more second lines of longitude or latitude are identified, and a location of a first actual intersection within the first segment is determined based in part on the identification of the one or more edges associated with the second lines of longitude and latitude.

The application discloses a robust measurable modeling method fusing three-dimensional reconstruction and geographic registration, and belongs to the technical field of three-dimensional modeling. The method comprises the following steps: acquiring source point cloud data generated by three-dimensional reconstruction and target point cloud data with geographic coordinate reference; completing initial registration based on an Umeyama algorithm; iteratively optimizing initial transformation parameters by using a Meishan-iterative reweighted least square-Huber weight algorithm, and realizing geographic registration through robust standard deviation estimation, Huber weight distribution and convergence judgment, so as to generate a measurable geographic space three-dimensional model; and based on the model, volume calculation, distance measurement and space analysis can be carried out. The application can inhibit noise and abnormal point interference through a robust iterative optimization mechanism, has high registration accuracy, and the generated model has unified geographic coordinate reference and high-precision measurement function, thereby solving the problems of poor noise resistance and lack of geographic reference of traditional three-dimensional models, and can be widely applied to engineering surveying and mapping, space planning and other scenes.

The invention relates to a synthetic aperture radar (SAR) imaging technology, in particular to a novel algorithm which is a generalized orthogonal polar coordinate format algorithm (GOPFA) and is used for optimizing a polar coordinate format algorithm (PFA) in a video synthetic aperture radar (SAR). The objective of the invention is to solve the problems of calculation efficiency and imaging precision of a traditional PFA under a large-range scene, a high frame rate and a complex terrain. Computing efficiency is improved by adopting generalized resampling and wavefront curvature compensation methods, a digital elevation model (DEM) is introduced for orthogonal correction, terrain distortion is eliminated, and finally efficient and accurate video SAR imaging is achieved. The algorithm is suitable for large-range video SAR imaging, is widely applied to the fields of environment monitoring, disaster assessment, military surveillance and the like, and can provide real-time and high-precision geographic reference images.

The application discloses a kind of based on multi-source spatial resolution's remote sensing building target segmentation measurement method, belong to remote sensing image processing technical field.Processing remote sensing image to be obtained, and receive the model type selected by user, weight path and optional manual input resolution;Execute spatial resolution analysis;Call building target segmentation model to infer image, output building candidate binary mask or probability graph, and obtain building area mask according to threshold strategy;Building area mask is executed target level measurement analysis;Based on multi-source spatial reference information, execute real area measurement;According to target level analysis result, generate superimposed rendering graph, black background color mask, statistical table and structured export file, realize the closed-loop output of segmentation, measurement, review and export.The present application is used to solve the problems that real area output is not reliable in existing segmentation system, target level measurement results are inconsistent, and no geographic reference image misoutput real area.

This invention provides a method and system for precise source tracing of dust pollution sources in open-pit mines based on AI vision. The method includes: constructing a unified spatiotemporal reference and performing time synchronization and spatial mapping on multi-view videos; obtaining dust plume regions and pixel-level confidence scores based on a dust plume detection model, and generating purification weight parameters by combining imitation learning to construct a cross-view consistency constraint set; establishing a three-dimensional reconstruction mesh in a geographic reference coordinate system and performing multi-view fusion optimization to form a three-dimensional dust plume concentration field; obtaining wind field parameters and generating voxel wind speed vectors, constructing a source term inversion model to solve for candidate pollution source locations and candidate release intensities; calculating source tracing confidence scores based on candidate release intensities and inversion consistency indices, screening the final pollution source location, and generating a structured evidence set bound to the final pollution source location, which can achieve precise three-dimensional positioning of dust pollution sources under multi-source superposition and dynamic wind field conditions.

A method includes receiving a trajectory dataset including a plurality of geospatial points forming a point cloud and acquired along a trajectory wherein for each of the plurality of geospatial points there is a defined an x-coordinate, a y-coordinate and a z-coordinate and at least one mapping device orientation attribute, segmenting the trajectory dataset into a plurality of segments, determining at least one relative constraint for each of the plurality of segments and utilizing, for each of the plurality of segments, at least one of the determined relative constraints to determine a relative position of at least two of the plurality of segments.

A system for geographically referencing an item is disclosed. The system comprises at least one processor which is operable to make an item searchable by geographical reference information (GRI), thereby creating a georeferenced item. A database search method is described. The method includes the ability to apply GRI, which may be in the form of any point in space, one dimensional, two dimensional or three dimensional shape, to any type of Native Data File, even where the Native Data File may not ordinarily support the inclusion of any form of geo location data. This is achieved through the association of the Native Data File with a file type that does support geolocation data, such as an image type file. When searching the database, an additional filter may be applied that utilizes Geographical Search Parameters (GSP) to confine the successful search results to within a certain geographical area.

The invention relates to a method for storing and providing geo-referenced vehicle data, the method comprising: receiving geo-referenced vehicle data through a data storage of a distributed system; determining, by a first computing unit of the distributed system, a subset of the geo-referenced vehicle data, the subset including data having time information and location information of the geo-referenced vehicle data; ascertaining, by a first computing unit of the distributed system, a partitioning scheme comprising time partitions and location partitions from time information and location information of the subset of geo-referenced vehicle data; training, by a first computing unit of the distributed system, a machine learning method with the ascertained partition scheme and the subset of geo-referenced vehicle data for predicting a zoom hierarchy of location information of the geo-referenced vehicle data; partitioning, by a plurality of computing units of the distributed system, data of the received georeferenced vehicle data using a trained machine learning method; storing, by the plurality of computing units of the distributed system, partitioned data of the received georeferenced vehicle data in a data memory of the distributed system; receiving a query message for geo-referenced vehicle data, the query message including time information and location information; and providing geo-referenced vehicle data of the query message, the geo-referenced vehicle data being provided using the stored partitioned data.

A system and method for accessing remotely located two-dimensional (2D) mapping by a mobile device at a worksite includes a reference device at the worksite configured to provide a geographic reference to the mobile device. A document retrieval system is configured to access a plurality of 2D drawings in a document library. The mobile device provides the annotated document to a document retrieval system. The document retrieval system accesses the 2D drawing in the document library based on the annotated document and provides a rasterized version of the 2D drawing to the mobile device.

A system and method for accessing a remotely located two dimensional (2D) drawing via a mobile device at a work site includes a reference device at the work site configured to provide a geographical reference to the mobile device. A document retrieval system is configured to access the plurality of 2D drawings in a document repository. The mobile device provides an annotated document to the document retrieval system. The document retrieval system accesses the 2D drawing in the document repository based on the annotated document, and provides a rasterized version of the 2D drawing to the mobile device.

A priori georeferenced vegetative index data is obtained for a worksite, along with field data that is collected by a sensor on a work machine that is performing an operation at the worksite. A predictive model is generated, while the machine is performing the operation, based on the georeferenced vegetative index data and the field data. A model quality metric is generated for the predictive model and is used to determine whether the predictive model is a qualified predicative model. If so, a control system controls a subsystem of the work machine, using the qualified predictive model, and a position of the work machine, to perform the operation.

A measurement system for determining geo-reference data for a measurement area includes a first system receiving a video stream and selecting images therefrom to correlate with geographic x, y coordinates of the measurement area. The system includes a second system (i.e., aerial platform) to hover over the measurement area and a vertical camera scoring unit (VCSU). The aerial platform and VCSU further include an inertial measurement unit (IMU) to measure orientation and movement, a global navigation satellite system (GNSS) configured to determine geo-reference coordinates of a reference point, and a camera / mounting system configured to orient the camera towards the measurement area underneath the first system. The camera is oriented directly plumb downward to obtain plan view video across the measurement area and the second system computes a single absolute geodetic point position and communicates the video and data to the first system for point, distance, and velocity computation.

A system and method for accessing a remotely located two dimensional (2D) drawing via a mobile device at a work site includes a reference device at the work site configured to provide a geographical reference to the mobile device. A document retrieval system is configured to access the plurality of 2D drawings in a document repository. The mobile device provides an annotated document to the document retrieval system. The document retrieval system accesses the 2D drawing in the document repository based on the annotated document, and provides a rasterized version of the 2D drawing to the mobile device.

The invention relates to a method (PREF) for referencing at least one artificial satellite (SAT) in a star catalogue (CTG) comprising the step of positioning at least one star projected onto a celestial sphere (SC). It comprises: - a step (E10) of obtaining the co-ordinates (Oqd, Â) of an observation location of the at least one artificial satellite (SAT) and the orbital parameters (TLE) of the at least one artificial satellite (SAT); - a step (E50) of projecting the satellite (SAT) onto the celestial sphere (SC) in a viewing direction determined from the orbital parameters (TLE) and the observation location; - a step (E80) of recording, in the catalogue (CTG), the co-ordinates of the satellite (SAT) projected onto the celestial sphere (CS), wherein the co-ordinates of the stars and the at least one artificial satellite (SAT) are expressed in the same geocentric reference frame, referred to as the star catalogue reference frame.

Provided is a radar detector that aids in management of unimportant sources, dynamically improving handling of such sources based upon previously-stored geographically-referenced information on such sources. The detector determines location of the detector, and compares it to locations of known sources, to improve handling of such detections. The detector may ignore detections received in an area known to contain a stationary source, or may only ignore specific frequencies or handle frequencies differently based upon historic trends of spurious police radar signals at each frequency, or based on geofenced locations. GPS is used to establish current physical coordinates. The detector maintains a list of the coordinates of known stationary source “offenders” and geofence coordinates or boundaries in nonvolatile memory. When a microwave or laser source is detected, it may compare current coordinates to geofence boundaries and / or sources in this list. Notification varies depending on the stored information and current operating modes.

Provided is a radar detector that aids in management of unimportant sources, dynamically improving handling of such sources based upon previously-stored geographically-referenced information on such sources. The detector determines location of the detector, and compares it to locations of known sources, to improve handling of such detections. The detector may ignore detections received in an area known to contain a stationary source, or may only ignore specific frequencies or handle frequencies differently based upon historic trends of spurious police radar signals at each frequency, or based on geofenced locations. GPS is used to establish current physical coordinates. The detector maintains a list of the coordinates of known stationary source “offenders” and geofence coordinates or boundaries in nonvolatile memory. When a microwave or laser source is detected, it may compare current coordinates to geofence boundaries and / or sources in this list. Notification varies depending on the stored information and current operating modes.

A soil sampling and fertility assessment system consisting of a field division module for subdividing an agricultural field, a GPS-based sampling module for capturing georeferenced soil samples, a laboratory interface for processing soil analysis results, and a geodata processing module for geostatistical modeling to delineate homogeneous fertility zones for nutrient management.