615 results about "Location determination" patented technology

Methods, systems and apparatus, including computer programs encoded on computer storage media for unmanned aerial vehicle flight operations near physical structures or objects. In particular, a point cloud of the physical structure is generated using aerial images of the structure. The point cloud is then referenced to determine a flight path for the UAV to follow around the physical structure, determine whether a planned flight path to desired locations around the structure is possible, determine the fastest route to return home and land from a given position around the physical structure, determine possibility of inflight collision to surface represented in point cloud, or determine an orientation of a fixed or gimballed camera given a position of the UAV relative the point cloud.

The invention discloses a multi-modal heterogeneous data management method and system, and the method comprises the steps: carrying out the preprocessing of multi-modal heterogeneous data, obtaining the preprocessing data, extracting the data information of the preprocessing data, carrying out the analysis, and determining the key data features of all data; evaluating the importance of each data based on the key data features to obtain an initial importance evaluation value; determining an association relationship among data in the preprocessed data from the data information, and constructing a knowledge graph of each data based on the association relationship; determining the position of each piece of data in the preprocessed data in the knowledge graph, and determining an evaluation value adjustment coefficient based on the position; and adjusting the importance initial evaluation value of each piece of data based on the evaluation value adjustment coefficient to obtain an importance evaluation value, and determining the storage position of each piece of data based on the importance evaluation value. According to the method, the final storage position is determined by carrying out importance evaluation on the data features of the multi-modal heterogeneous data, the data analysis and processing flow is optimized, and the efficiency and safety of data storage management are improved.

The invention discloses a switching station optical distribution equipment inspection method and system, and belongs to the technical field of electric power inspection. According to the invention, the to-be-inspected target switching station is determined through the real-time position of the inspector, so that the manual station searching time is effectively shortened; the appearance identification result, the indicating lamp identification result and the equipment model identification result of the optical distribution equipment are determined by identifying the image of the optical distribution equipment, so that the inspection deviation caused by manual inspection is reduced, and the missing inspection and false inspection of the optical distribution equipment are avoided; then, the inspection flow of the optical distribution equipment is determined according to the equipment model identification result, so that inspection personnel are guided to inspect the optical distribution equipment, the standardization and consistency of inspection of the optical distribution equipment are ensured, and low inspection efficiency caused by manual consulting of paper documents is avoided; and then an inspection report is generated, so that the integrity and specification of inspection data are ensured, and a basis is provided for long-term inspection of switching station optical distribution equipment. Therefore, the accuracy and efficiency of inspection of the optical distribution equipment of the switching station are improved.

A robotic device scans at least a portion of an environment. The robotic device includes one or more LiDAR sensors to scan the environment. A management system receives sensor data generated by the one or more LiDAR sensors to determine a three dimensional (3D) point cloud representing at least the portion of the environment. A layout of the environment is determined, where the layout represents a location of objects within the environment. At least one discrepancy between the 3D spatial map and the layout is determined. Based at least in part on at least one discrepancy, a map of the environment is generated.

The invention provides a substation safety construction monitoring and early warning system based on binocular stereoscopic vision, which comprises the following steps: respectively controlling a left camera and a right camera to synchronously shoot a construction site, and positioning the real-time positions of the left camera and the right camera in a three-dimensional space in real time, determining a real-time image distance between the left image and the right image to construct a camera coordinate system, identifying a plurality of monitored objects in the construction site in the camera coordinate system, performing feature extraction on each monitored object, determining a plurality of dynamic objects in the construction site, and respectively constructing an object behavior corresponding to each dynamic object; according to the method, the behavior consequence corresponding to each object behavior is analyzed, the dynamic object of the target corresponding to the danger consequence is screened, danger early warning is carried out on the construction site, the problems of positioning interference, scene adaptation, safety early warning and the like in transformer substation construction can be effectively solved, the construction safety management level is remarkably improved, and the method has extremely high practical application value.

Techniques are provided for collaboratively determining a location estimate for a UE. A UE can determine that it is moving with one or more other wireless device. The UE can determine a location estimate based upon location information and location metadata. The UE can determine an uncertainty of the location estimate based upon values of the location information and the location metadata. These and many other features and examples are described.

This application relates to a robotic method for precise ore sampling in complex mining environments, specifically in the field of ore feature recognition. The method includes: acquiring LiDAR point cloud data and industrial camera image data; after voxelizing the point cloud data, obtaining LiDAR BEV features through an improved SPConv sparse pyramid convolution operator feature extraction network, spatial reconstruction unit, and channel reconstruction unit; extracting semantic features from the image data to generate an image BEV feature map; fusing the two data elements-wise in the BEV space; extracting multi-scale features from the fused BEV feature map using a dual-branch Decoder network; introducing a KA attention mechanism to weight the fused features; and calculating a sampling priority score based on the weighted feature map to determine the optimal sampling point and plan the path. This method can improve ore recognition accuracy in complex mining environments and shorten the decision-making time for the entire process of sampling location determination and path planning.

It stably controls the movement of a moving object based on the movement of the object it is following. [Solution] Information indicating the position and direction of movement of a person is acquired. A graph consisting of nodes and edges, showing the person's movement path, is acquired. Based on the person's position, a first edge of the graph corresponding to the person's position is determined. Based on the first edge or one or more edges located in the direction of the person's movement relative to the first edge, the target position of the moving object is determined.

Method for determining the position of a first mobile device, wherein the position of the first mobile device is determined by a positioning device using a GNSS based on a time-of-flight measurement of GNSS signals from various GNSS satellites received by a GNSS receiver of the first mobile device, comprising the steps: - Determining at least one GNSS error information from the GNSS signals of different GNSS satellites, which are received by a GNSS receiver provided on at least one second mobile device at a receiving position of the second mobile device, by means of an error detection device, - Transferring the determined error information from the GNSS to the positioning device of the first mobile device, and - Determining the position of the first mobile device by the position determination device, taking into account the GNSS error information determined at the receiving position of the at least second mobile device and transmitted to the position determination device, characterized in that a plurality of second mobile devices are provided, at whose respective receiving positions at least one GNSS error information is determined, wherein the GNSS error information determined at the respective receiving positions of the second mobile devices is transmitted to the position determination device and the position of the first mobile device is determined by the position determination device, taking into account at least a part of this GNSS error information determined at the various receiving positions of the second mobile devices, wherein one or more position-independent GNSS error information,The error information, which characterizes an accuracy error of the GNSS independently of a receiving position and which was determined using at least one fixed reference station, is transmitted to the error determination devices of the second mobile devices, wherein a position-dependent error information of the GNSS, which characterizes an accuracy error of the GNSS depending on a receiving position, is determined at the receiving position of the respective second mobile device from the GNSS signals of various GNSS satellites, which are received by the GNSS receiver of the respective second mobile device at its receiving position, taking into account the position-independent error information of a reference station by the error determination device.

The present application relates to the technical field of device control, and discloses a device position determination method and apparatus, a self-moving device, and a readable storage medium. The method comprises : recording a target sleep duration, and comparing the target sleep duration with a preset sleep duration, wherein the target sleep duration is used for indicating a duration in which a self-moving device is continuously in a sleep state; and when it is determined by means of the comparison that the target sleep duration is equal to the preset sleep duration, sending positioning information to a storage address, so that a user can learn about the actual position of the device on the basis of the positioning information.

We provide an anomaly detection system capable of detecting abnormalities in humans. [Solution] An anomaly detection system comprising: a first motion detection unit 301 that detects movements of a person 20 that are greater than a motion threshold using a non-contact sensor 10; a presence location determination unit 302 that, if it has detected movements greater than the motion threshold, determines whether a person is present in a location 30 where the non-contact sensor 10 can detect movements of a person 20 that are less than the motion threshold; a second motion detection unit 303 that detects movements of a person 20 that are less than the motion threshold if it has determined that a person is present in a location 30 where it can detect movements of a person 20 that are less than the motion threshold; and an anomaly determination unit 304 that, if it has not detected movements less than the motion threshold, determines that something is wrong with the person 20.

This invention discloses a multi-channel automated parking system and its application method for rapid storage and retrieval. The multi-channel automated parking system is housed within a dense, integrated automated racking system. Multiple shuttle cars are placed on staggered, non-interfering single-layer longitudinal aisles, along with multiple matching independent vertical shafts. This allows for simultaneous longitudinal and vertical transport of multiple layers and goods. Multiple entrances / exits and transverse aisles can be configured as needed, housing multiple continuous transition conveyors. Combined with corresponding warehouse management software and various sensors, the system performs tasks such as scanning and identifying goods upon entry and exit, data collection, goods location determination, handling process analysis, conveyor path optimization, and time allocation. It also provides electronic control for information and instruction transmission and reception for the various handling equipment, achieving multi-layered relay-style collaborative operations and thus realizing intelligent and rapid storage and retrieval of goods throughout the warehouse.

A location determination method and apparatus, which relate to the technical field of communications. The method comprises: when the connection between a first terminal and a network is lost, a location management server sending a request message to a second terminal having a network connection, wherein the request message is used for requesting location information of the first terminal; and the location management server receiving a response message, wherein the response message is used for responding to the request message.

This application relates to a system and method for displaying sites. The method can obtain a user's current location and use it as a first center location of a map; load and display multiple first sites within a first preset distance from the first center location on the map, the first group of sites including at least a portion of the multiple first sites located within the map display area; receive a signal from a client, the signal including an operation instruction for changing the map display area; obtain a second center location of the map based on the changed display area; determine the distance between the first center location and the second center location; determine whether the distance exceeds a second preset distance; if it exceeds, load multiple second sites within the first preset distance of the second center location, each of the multiple second sites being different from one of the multiple first sites; and display the second group of sites on the map.

An object of a system according to an embodiment is to enable a driver to efficiently grasp and enjoy sightseeing spots around a current location.SOLUTION: A system according to an embodiment includes a current location specification part, a sightseeing spot search part, a sightseeing information generation part, and a voice reading part. The current location identification unit identifies the current location of the driver using the GPS. A sightseeing spot retrieval part accesses a sightseeing information database on the basis of the present location specified by the present location specification part, and retrieves a sightseeing spot. The sightseeing information generation part generates information on the sightseeing spot retrieved by the sightseeing spot retrieval part. The voice reading unit reads the information on the sightseeing spot generated by the sightseeing information generation unit by voice.SELECTED DRAWING: Figure 1

A method for handling malfunctions is provided. In the method, in response that a working temperature of a first device is abnormal, an electronic device collects a running log of the first device. Log data that matches the running log is obtained from a database. A second device is determined according to a position where the first device is located. The electronic device detects whether a second device has an abnormal trend on working temperatures, and a detection result is obtained. A plurality of handling strategies of the first device and / or the second device are determined, according to the detection result and the log data. The above method can monitor the working temperature of a device in a timely and effective manner, thereby ensuring stable operation and performance of the device.

An auto alignment system is used with a base board that is mounted with at least one laser source, and a fiber array unit (FAU) that includes at least one lens facing the base board. The system includes a location determination unit configured to capture an image of the base board and the FAU, a processor, a motor, and a goniometer. The processor compares a current location of the FAU and an ideal position of the FAU, at which the at least one lens is aligned with the at least one laser source, and determines an offset value associated with the current location of the FAU and the ideal position of the FAU. Then, the processor controls the motor to actuate the goniometer to move the FAU to the ideal position based on the offset value.

An example method for determining the distance between the network devices thereby enhancing the accuracy of location determination is presented. In one example implementation, the proposed method entails training, during a training phase, a machine learning (ML) model based on test environmental condition metrics about the network devices. Further, during an inference phase, a network controller may first determine a coarse distance between a pair of network devices using wireless signal strength between the pair of network devices, and then finetune the coarse distance to generate a refined distance using a trained ML model. Further, using the refined distance, the network controller may more accurately determine the location of a network device of the pair of network devices whose location was unknown.

The application discloses a substrate edge-finding positioning method and device, a storage medium and a program product, relates to the technical field of positioning, and the substrate edge-finding positioning method comprises the following steps: acquiring a real-time trigger signal fed back by an edge-finding photoelectric sensor during movement of a robot to a target substrate, and determining a real-time substrate position according to the real-time trigger signal; since an edge-finding reference position has been determined in advance in a teaching stage, and a preset edge-finding compensation value is determined in advance based on a taught substrate placing position and the taught edge-finding reference position; in actual operation, the position deviation of the target substrate in the X-axis and Y-axis directions is calculated according to the real-time substrate position and the taught edge-finding reference position; the target placing coordinate is determined according to the position deviation and the preset edge-finding compensation value; the robot is driven to move the target substrate to the target placing coordinate, a substrate placing action is performed, and substrate edge-finding positioning is completed, so that the technical problem of low accuracy of substrate edge-finding positioning can be solved.

A method for determining the location of a user equipment (UE) in a network is disclosed. A location management function (LMF) receives a location determination request containing New Radio Cell Global Identity (NR-CGI) information from an access and mobility management function (AMF). Using the NR-CGI information, the LMF identifies random access network (RAN) vendor associated with the UE and requests the vendor to provide multiple measurement parameters. Based on these parameters and at least one pre-configured algorithm from the RAN vendor, the LMF selects at least one algorithm from a set of available algorithms. Using the selected algorithm(s), the LMF calculates and determines the location of the UE.

Power can be preserved in a tracking device equipped with a GPS receiver and a transceiver by evaluating the proximity of the tracking device to a mobile device and enabling the GPS receiver and transceiver only in the event that the tracking device is out of the range of the mobile device. Once enabled, the location of the tracking device can be determined based on location information received from the GPS receiver. The determined location can be provided to a tracking system associated with the tracking device. The tracking system can then inform an owner of the tracking device of the determined location. Once the tracking device has been found, the GPS receiver and the transceiver can be disabled to save additional power.

The invention discloses a method for determining a PLP installation position of a photovoltaic field station and a related device. The method comprises the following steps: acquiring a target area where a target photovoltaic field station is located; obtaining target topographic data and a lightning activity data set corresponding to the target area; determining a target topographic factor according to the target topographic data; determining a target evolution trend direction according to the target terrain factor and the lightning activity data set; acquiring a preset installation position and equipment basic information corresponding to the target PLP; determining a target deviation value according to the target terrain factor, the lightning activity data set, the target evolution trend direction and the equipment basic information; and adjusting the preset installation position according to the target evolution trend direction and the target deviation value to obtain a target installation position. According to the embodiment of the invention, the proper installation position of the PLP can be selected.

The invention discloses an object identification method and device, a storage medium and electronic equipment. The method comprises the following steps: acquiring object operation data from at least one data acquisition source; executing a target detection operation on the object operation data, and determining first operation data and second operation data associated with the target object; inputting a first object feature corresponding to the first operation data and a second object feature corresponding to the second operation data into a pre-trained object classification model to obtain a classification result; under the condition that the classification result meets the target classification condition, a group of data clusters are obtained, the object type of the target object is determined based on the position of the data cluster where the operation data corresponding to the target object is located, the group of data clusters comprise at least one data cluster, and different objects in one data cluster are associated. The technical problem that the recognition accuracy of the object with the abnormal operation is low is solved.

The invention discloses a vehicle-mounted camera calibration method and device, electronic equipment, a storage medium and a computer program product. The method comprises the following steps: constructing a vehicle-mounted camera two-dimensional model; wherein the vehicle-mounted camera two-dimensional model is used for representing a space mapping relation between the vehicle-mounted camera and a target; according to different installation positions of the vehicle-mounted camera on the whole vehicle, target existence areas and target candidate positions of targets of the vehicle-mounted camera at different installation positions are determined in the two-dimensional model of the vehicle-mounted camera; determining a first target position of the target in the two-dimensional model of the vehicle-mounted camera according to the target existence area and the target candidate position; and according to the target installation position of the vehicle-mounted camera on the whole vehicle, a second target position of the target under the whole vehicle coordinates is determined, and the target at the second target position is adopted to calibrate the vehicle-mounted camera. According to the technical scheme of the embodiment of the invention, by constructing the two-dimensional model of the vehicle-mounted camera, the design difficulty of the calibration work station is simplified, and the calibration efficiency of the vehicle-mounted camera is improved.

Disclosed is an apparatus for providing a service, which includes a communication module, a positioning database (DB) configured to store a plurality of information about positioning resources observable at each of a plurality of reference points within a target area, and a processor functionally connected to the communication module and the positioning DB, wherein the processor is configured to acquire surrounding positioning resource information and movement state information of a mobile terminal through the communication module, select several points within a predicted location range of the mobile terminal from the plurality of reference points based on previous location information and the movement state information of the mobile terminal, and determine a location with a highest similarity to the acquired positioning resource information among the several points as a current location of the mobile terminal.

Methods, apparatuses, systems, etc., directed to performing positioning of a wireless transmit / receive unit (WTRU) while it is in idle mode and / or inactive mode (collectively “idle / inactive mode”) in NR are disclosed herein. Performing positioning, including positioning measurement and / or reporting, in idle / inactive mode may allow for increased positioning accuracy and / or decreased latency of location determination. In various embodiments, a WTRU in idle / inactive mode may transmit a positioning measurement report in various ways, including (i) in a Random-Access Channel (RACH) preamble; (ii) appended to a RACH preamble; and / or (iii) in a Physical Uplink Shared Channel. In various embodiments, a WTRU in idle / inactive mode may transmit uplink-based positioning related reference signals. In various embodiments, a WTRU in an idle / inactive mode may transmit, over a dedicated physical channel, (e.g., downlink) positioning measurement reports and / or reference signals (RSs) for uplink positioning measurements.