33 results about "Location awareness" patented technology

The embodiment of the invention discloses a vehicle data processing method and device, electronic equipment and a readable storage medium, and the method comprises the steps: obtaining the position sensing information of a vehicle, and responding to the position sensing information which comprises at least one traffic marker. Determining a target reference object corresponding to the at least one traffic marker and a distance between the vehicle and the target reference object, determining a second distance between a positioning point of the vehicle on the navigation page and the mapping reference position based on the map data, and determining a longitudinal error according to a difference value between the second distance and the first distance, and adjusting the position of the positioning point on the navigation page according to the longitudinal error. Therefore, through the method, the longitudinal error existing in vehicle positioning can be determined and improved, and the accuracy of vehicle positioning is improved.

This invention relates to the field of target detection technology, specifically disclosing a target detection method, device, and storage medium for dedicated railway operation scenarios. The method includes: constructing a training dataset; building a basic target detection model based on the detection accuracy requirements of dedicated railway operation scenarios; optimizing the basic target detection model, including constructing a location-aware space-frequency coordination module in the backbone network to generate a spatial high-frequency saliency map using a dual-stream architecture and local frequency domain changes; constructing a frequency-guided cascaded feature alignment module in the feature pyramid network to guide the geometric offset of the predicted feature map based on the spatial high-frequency saliency map, and deforming and aligning the semantic attention map; and performing multi-round iterative training based on a combined loss function including detection loss and auxiliary constraint loss. The target detection method for dedicated railway operation scenarios provided by this invention can improve the accuracy of detecting small targets in dedicated railway scenarios.

This invention discloses an embodied intelligent agent position perception method and system based on wireless radio frequency fingerprinting, belonging to the field of embodied intelligent agent wireless position perception technology. The method includes: using a full-band multi-directional wireless signal acquisition device to collect radio frequency signals in a time-division manner and obtain digital signals containing radio frequency fingerprints; clustering and grouping the digital signals, assigning identity authentication IDs, and removing invalid data; training a classification model using the grouped data and realizing ID recognition; determining relative position by combining angle arrival algorithm and signal power strength; dynamically sensing relative position time changes based on its own position changes; and performing the clustering to dynamic sensing steps in a long-cycle loop to realize the dynamic discovery and deletion of intelligent agents. This invention is based on physical layer autonomous perception, requires no central node, and has the characteristics of low latency, low power consumption, and high accuracy. It is suitable for the dynamic collaborative needs of multiple intelligent agents in power scenarios and can be widely used in embodied intelligent agent collaborative operations in power scenarios such as substations and converter stations.

The embodiment of the invention provides a distributed cooperative positioning method and system facing non-convex topology and DOS attack, and the method comprises the steps: obtaining a plurality of communicable vehicles closest to a to-be-positioned vehicle, and enabling the plurality of communicable vehicles to be not collinear; obtaining symbolized barycentric coordinates of the to-be-positioned vehicle relative to the plurality of communicable vehicles; when a communication link is normal, iteratively updating the current position information of the to-be-positioned vehicle based on the previous position information of the to-be-positioned vehicle, the symbolized barycentric coordinates and the current position information of the plurality of communicable vehicles; when the communication link is subjected to the DoS attack, position compensation is obtained based on the influence condition of the DoS attack on the communication link; and iteratively updating the current position information of the to-be-positioned vehicle based on the position compensation. According to the embodiment of the invention, reliable position sensing support can be provided for an intelligent motorcade in a high-dynamic and weak communication guarantee environment.

The invention discloses a coverage performance test method, a coverage performance test device and electronic equipment, relates to the technical field of communication, and aims to solve the problem that the coverage boundary capability of a single station cannot be scientifically and comprehensively evaluated in related technologies. The method comprises: according to working parameters of a base station, determining a plurality of test trajectories for a sector of the base station and a plurality of different test heights corresponding to each test trajectory, the plurality of test trajectories at least comprising: a first trajectory along a horizontal normal direction of the sector, and a second trajectory and a third trajectory along a horizontal coverage maximum angle direction of the sector; track test data is obtained, and the track test data comprises position sensing data of the base station to the test equipment in the process that the test equipment carries out movement test according to the multiple test tracks and the multiple different test heights; and according to the track test data, determining a coverage performance parameter set for representing the actually measured coverage range of the base station.

The invention discloses a sequence recommendation method based on a pulse graph neural network. The method comprises the following steps: dividing user-project interaction data into T adjacent matrixes according to time periods; the time perception interaction denoising module based on the attention mechanism is used for denoising each section of adjacent matrix by using a soft attention mechanism; a pulse driving graph neural network module is adopted, and node representation is updated through LIF pulse neurons, dual regulatory factors and a dual-threshold mechanism; explicitly modeling long-distance time dependence based on a position awareness attention sub-module; performing weighted integration on recent and historical interests based on a time-aware interest fusion sub-module to obtain an integrated user item representation; future interaction prediction is made based on the user item representation. According to the novel sequence recommendation method provided by the invention, long and short term interests and time dynamics of the user can be modeled at the same time, a pulse neuron and time contrast learning mechanism is introduced, and the defects of an existing recommendation system are overcome.

The present application relates to a position sensing method and apparatus, a computer device, a readable storage medium, and a program product. The method is applied to a receiver. The method comprises: processing a received reception signal to obtain a direct link signal corresponding to a signal source; on the basis of a serial interference cancellation policy and the direct link signal, determining a reflected link signal from the reception signal; performing sensing parameter estimation on the reflected link signal to obtain position sensing data; and determining coordinate information of a target device on the basis of the position sensing data. The present method can improve the accuracy of position sensing of reflection and scattering devices.

An exemplary computer-readable medium for determining a location of a device within an environment comprises program code that, when executed by one or more processors, causes the one or more processors to determine a current path signature for a device moving within the environment, compare the current path signature to a stored reference path signature corresponding to a location of interest (LOI) within the environment, and determine that the location of the device is the same as the location of the LOI within the environment if the current path signature is determined to correspond to the stored reference path signature.

The invention discloses a vehicle trajectory prediction method based on an improved HTM, and the method comprises the steps: compressing an original code into a short code through multi-dimensional feature fusion, carrying out the feature extraction of a space pool through an SPLSN (micro-column self-recommendation space pool module), and achieving the time pool time sequence modeling through a TPLLAA (position sensing time pool module). And multi-path input expansion is realized by introducing a sequence caching mechanism. According to the multi-dimensional compression coding method, the sparse distribution representation is generated by fusing grid, time period and category coding, so that the data redundancy can be reduced, and the calculation complexity can be reduced; graded activation and synaptic protection can be realized by combining a micro-column self-thinning space pool module with a bearing degree and an overlapping value, and the efficiency and the accuracy are improved; tPLLA is utilized, position information is introduced to optimize cell selection, and an active set is reduced to inhibit historical interference; and by utilizing an SSCM (sequence state cache) mechanism, multi-track parallel processing and quick context retrieval can be supported, and the real-time processing capability is improved.

The application discloses a communication positioning integrated method for maritime communication and belongs to the field of maritime wireless communication. The method provided by the application uses ground base stations and low-orbit satellites to provide communication services for near-shore user groups and far-shore user groups respectively, and completes wide-area coverage of sea areas. The ground base stations and the low-orbit satellites transmit communication positioning dual-function signals, sea user terminals receive and decode data signals, the ground base stations and the low-orbit satellites receive reflection signals containing target position information from the sea user terminals respectively, and then transmit the reflection signals to the ground base stations through a space-ground link to perform data fusion and target position estimation, so that the sea user is provided with information communication services and the target is subjected to position perception. The application provides an effective communication positioning integrated method for a maritime communication system based on a space-ground heterogeneous network.

The present application relates to a kind of based on high-precision position sensing surveying and mapping method, device, equipment and storage medium, comprising the following steps, utilize high-precision GNSS receiver to collect the position signal of surveying and mapping area target survey point, obtain survey point coordinate and associate time stamp, form with time tag coordinate;Calibration coordinate is obtained by threshold screening and correction processing, and adjacent survey point spacing data is accounted;Calibration coordinate is combined with survey point spacing data, and the basic geographic three-dimensional base map obtained is grid division and feature point matching, and regional grid chart is generated;Based on regional grid chart, calculate terrain undulation, obtain grid elevation difference;Finally, combined with grid elevation difference, basic geographic three-dimensional base map is implemented texture filling and boundary optimization, complete the fine expression of topographic feature, output high-precision surveying and mapping image, solve how to improve the anti-interference ability of survey point data, and realize the technical problem of the automation, fine reconstruction from discrete coordinate to high-fidelity three-dimensional topographic map.

This invention provides a method and system for road defect detection based on UAV optical remote sensing imagery, belonging to the field of road defect detection. To address the shortcomings of existing road defect detection methods in small target recognition and feature extraction under complex background interference, this invention utilizes a CSP-SMAM module, enabling the model to efficiently extract multi-scale features, particularly enhancing the perception of targets of different scales in complex scenes. Combined with a CAFPN structure, the model further improves feature fusion and localization accuracy. The Wise-MPDIoU loss function optimizes the target localization process, making it particularly suitable for small target detection. Finally, the CA attention mechanism enhances the model's localization ability through direction and position awareness information, improving the model's recognition accuracy in complex backgrounds.

The invention discloses a laser hovering emergency flight traffic light system based on intelligent scheduling and multi-source perception. The flight execution unit can precisely hover above a road, and the height and the position are adjusted according to a task instruction; the sensing acquisition unit acquires traffic flow, signal lamp state and environment brightness information in real time; the instruction scheduling unit automatically identifies a signal fault area according to the sensing data, plans a flight path and a hovering position of the unmanned aerial vehicle, and sets a display time sequence and duration of a laser signal; the laser display unit projects red, yellow and green light beams in the air to replace a ground traffic light for traffic indication; the local emergency control unit can independently execute a pre-stored rule when communication is interrupted, and continuous output of traffic signals is kept; the system can realize multi-unmanned aerial vehicle cooperative scheduling through a wireless network, has the characteristics of quick response, flexible deployment and high reliability, and remarkably improves the safety and command capability of urban traffic in an emergency state.

The invention discloses a magnetic lock capable of achieving remote communication and positioning, and belongs to the technical field of intelligent locks and the Internet of Things. The magnetic lock comprises a lock body, a control module, an NBIoT wireless communication module, a GPS / Beidou dual-mode positioning module and a power management module. The NBIoT module is used for realizing remote data interaction between the equipment and a cloud platform and supporting lock state monitoring and control instruction transmission; the positioning module is used for acquiring equipment position information in real time and triggering an alarm when abnormal displacement occurs; the power management module supports combined power supply of commercial power, solar energy and a storage battery, and has a low-power-consumption design. The problems that a traditional magnetic lock cannot achieve remote communication and lacks position sensing capacity are solved, and the magnetic lock is suitable for scenes such as security access control and mobile asset monitoring and has the advantages of being high in reliability, long in standby time and easy and convenient to install.

The solution enhances the security of new wireless device setups is enhanced by the verification of the geographic location of the new device upon network attachment against the one or more known subscriber locations, or locations associated with the network subscriber that is expected or intended to be operating the new device. These locations can include a home address recorded in subscriber profile information stored by the telecommunications network, for example. If a mismatch is detected, a security alert is sent to the network subscriber’s current wireless device, enabling confirmation whether it is the network subscriber that is attempting to use and set up the new device.

This invention discloses a method and system for small target detection in sonar images with spatial-frequency dual-domain synergistic enhancement. Through end-to-end joint optimization, this invention achieves synergistic gains in preprocessing and detection tasks, significantly improving detection accuracy and robustness in complex scenes. A Retinex multi-scale attention feature decomposition network is introduced to effectively suppress seabed reverberation background and highlight small target regions. Shallow feature extraction combining grid position encoding and frequency domain position embedding is employed, giving features both position awareness and detail sensitivity. A spatial-frequency dual-domain feature fusion module is constructed, achieving complementary fusion of local texture and global structure through a difference-driven dual-domain attention mechanism, solving the technical challenge of high-frequency information of small targets being easily obscured by the background.

The application discloses a kind of based on position perception and feature modulation cell image multi-task classification method and system, belong to medical image analysis field.The method first utilizes the global visual feature of cervical cell image extracted by depth backbone network, and predicts its hierarchical position (surface layer / middle layer / base layer).On this basis, introduce position perception hybrid expert module, utilize position information by two paths: one will position label be mapped into semantic embedding feature;Another generates channel level modulation parameter according to position label, carries out dynamic affine transformation to global feature, and the feature after modulation is sent into multiple expert networks.At the same time, based on the routing network of image content generates dynamic weight, weights the fusion of expert feature, obtains enhanced feature.Finally, enhanced feature and position semantic embedding feature are fused, and lesion type classification and position classification tasks are collaboratively trained.The application guides feature modulation and expert fusion by position information, effectively improves the accuracy and explainability of cervical cell image classification, and can be used for computer-aided screening of cervical cancer.

The embodiment of the application provides a kind of multi-unmanned plane perception communication method, device, electronic equipment and storage medium, belong to unmanned plane communication technical field.The method comprises: the position of the sensing object is sensed based on communication sensing technology, and sensing coordinate information is obtained;Sensing accuracy evaluation information is obtained based on sensing coordinate information by sensing accuracy evaluation;System monitoring information is obtained by monitoring the state of each task execution terminal;Control performance evaluation information is obtained by control performance evaluation based on system monitoring information;Determine target optimization problem and problem decomposition optimization processing based on control performance evaluation information and sensing accuracy evaluation information, and obtain target optimization information;At least one of the following operations is performed based on target optimization information: updating the task execution terminal served by the target unmanned plane, updating the position of the target unmanned plane, updating the communication distribution power of the target unmanned plane.The embodiment of the application can improve the communication sensing performance of multi-unmanned plane cooperative network.

This application provides a dynamic scene indoor positioning method, apparatus, and device based on CSI data, which can be applied to the field of wireless positioning technology. The method includes: in response to the target device's transmission signal being blocked by at least one person in an indoor environment, acquiring raw measurement data of the access point; reducing the dimensionality of the complex matrix of the raw channel state information to obtain a flattened vector, thus obtaining preprocessed raw channel state information; inputting the preprocessed channel state information into a temporal convolutional network to generate hidden temporal features; processing the hidden temporal features using a first network branch and a second network branch to obtain dynamic and static features, respectively; concatenating the static features with the coordinate features of their corresponding access points to obtain location-aware static features; performing feature processing based on a Transformer module to obtain location-aware fusion features; and inputting the location-aware fusion features into a multilayer perceptron to obtain the predicted location.

Determining the position of multiple medical devices and / or their instruments during a medical procedure. [Solution] A positioning system is disclosed which is adapted to determine the position of a medical device / instrument from position signals acquired by at least a first and second signal acquisition device that sample outputs from different position sensors of a medical device and transmit them in packets. The system includes a calibration signal generator which is connectable to each of the acquisition devices and generates a calibration signal whose frequency is switched between a plurality of frequencies. A synchronization processor processes simultaneous packets containing the calibration signals sampled by the first and second acquisition devices, thereby determining synchronization parameters for synchronizing position signals sampled by different acquisition devices.

The invention provides a pumped storage power station environment water conservation recognition model training and application method and system, and the method comprises the steps: carrying out the sample marking of an obtained multi-temporal satellite remote sensing image in the construction period of a pumped storage power station, and obtaining a corresponding environment water conservation sample marking set; a YOLOv8 network of a feature pyramid network is replaced based on a position-aware coding network to construct a environmental water conservation recognition model, the position-aware coding network is a Transform network integrated with a spatial position coding mechanism, then a multi-temporal satellite remote sensing image with an environmental water conservation sample labeling set is used as a sample set, the environmental water conservation recognition model is trained, and the environmental water conservation recognition model is obtained. The problem of small target feature attenuation of a traditional YOLOv8 network is effectively overcome through a Transformer network integrated with a spatial position coding mechanism, and the defect of misjudgment caused by complex background interference due to the distinguishing ability of a target and a background is enhanced by using an attention mechanism of coordinate coding. And the ring water conservation identification precision of the pumped storage power station is further improved.

The present disclosure relates to a system, method, and apparatus for managing orders and invoices among customers of a retail merchant. The system allows a first customer to establish trusted links with one or more associated fellow customers, thereby authorizing the fellow customers to add purchases to the first customer's invoice. This allows a primary customer to purchase items for a secondary customer under tightly controlled and well communicated conditions, without extra work from the merchant. The system also uses location aware services on customer's smartphones to provide data that enhances the customers' experiences, by triggering prompts to open and close and invoice. The system also uses location aware services to determine which other customers may be in a related party together.

The invention discloses a monitoring ball machine intelligent scheduling method based on digital twinning and real-time position awareness, which comprises a digital twinning service platform, a vehicle-mounted positioning terminal, a coach monitoring terminal and ball machine equipment which are connected through a local network, the digital twinning service platform comprises high-precision digital twinning scene construction, training area intelligent division, vehicle real-time positioning and area matching, a dome camera focusing and dynamic tracking mechanism, and a vehicle-dome linkage program responsible for protocol conversion and equipment control. And continuous video tracking of a specific training vehicle by a coach is realized through virtual-real linkage and intelligent scheduling. According to the monitoring dome camera intelligent scheduling method based on digital twinning and real-time position awareness disclosed by the invention, a high-precision digital twinning scene is established, training areas are divided, and the training areas are dynamically associated with dome camera preset points, so that a user can automatically schedule a physical dome camera to focus and move along with a vehicle by selecting the vehicle in a digital interface; and the remote teaching quality and the monitoring efficiency are effectively improved.

The invention provides a dynamic scene indoor positioning method, device and equipment based on CSI (Channel State Information) data, which can be applied to the technical field of wireless positioning. The method comprises the following steps: acquiring original measurement data of an access point in response to the situation that an emission signal of target equipment in an indoor environment is blocked by at least one person; performing dimension reduction processing on the complex matrix of the original channel state information to obtain a flattened vector, and obtaining preprocessed original channel state information; inputting the preprocessed channel state information into a time convolutional network to generate hidden time features; a first network branch and a second network branch are adopted to process the hidden time features, and dynamic features and static features are obtained respectively; splicing the static features with the coordinate features of the corresponding access points to obtain position sensing static features; performing feature processing based on a Transform module to obtain a position sensing fusion feature; and inputting the position sensing fusion feature into a multi-layer perceptron to obtain a predicted position.

The invention discloses a query-based geographic routing protocol (QBG) of a wireless sensor network, and belongs to the field of wireless sensor networks. According to the protocol, the performance is improved through multiple core designs; a novel energy threshold updating mechanism is adopted, so that energy conservation and expandability of centralized network information maintenance are realized; a centralized optimal dynamic clustering formation algorithm is designed, and a base station simulates local competition of nodes to complete cluster head election, so that a compact and regular cluster structure is ensured, and the algorithm gets rid of dependence on a specific query application scene; proposing a cluster head updating strategy, and preventing a low-energy node from serving as a selected cluster head on the basis of maintaining an optimal clustering structure; and an energy sensing forwarding strategy based on geographic position sensing is provided, so that the overall routing energy consumption of the network is further reduced.

This invention provides a location-aware dynamic benefits distribution method, medium, and system, belonging to the field of dynamic benefits distribution technology. First, it collects real-time consumer location data via mobile terminals to establish a location trajectory map and calculates a location dwell intensity index. Then, it acquires the locations of merchants within a business district to construct a location matrix and combines this with wireless network identifiers to determine the location of the merchant where the consumer is located, generating a location correlation. Next, it uses a prediction model based on a multi-head spatiotemporal attention network structure to analyze consumers' historical consumption data and behavioral characteristics, and calculates a merchant attractiveness index by combining the location dwell intensity index and location correlation. Further, it adjusts the time sensitivity coefficient through a consumer value judgment function and dynamically adjusts the benefits distribution threshold based on the business district's pedestrian density factor. Finally, it selects suitable benefits types based on consumer profiles and accurately pushes them, achieving location-aware dynamic and precise benefits distribution.

This invention belongs to the field of digital monitoring road defect detection technology. It provides a method and system for detecting road defects using UAV aerial photography based on an improved YOLOv11. The aim is to solve the problem of erroneous deletion of real adjacent boxes due to excessive IoU (Intersection over Union) in traditional UAV aerial road defect detection. The method includes: inserting enhancement units containing feature decoupling and relative position encoding subunits into the deep small target feature map path of the PANet neck layer in YOLOv11, outputting decoupling features and relative position information; adding ICF and RPO branches to the small target detection head; clustering candidate clusters based on IoU > 0.3, calculating the total difference to determine whether to remove redundancy; the system includes modules for small target feature decoupling and position awareness enhancement, detection head output expansion, and dynamic redundancy removal of dense boxes, improving detection completeness and accuracy.