167 results about "Localization system" patented technology

The invention provides a supply chain cost anomaly AI positioning system based on multi-mode depth tracing, and relates to the technical field of cost anomaly tracing. According to the supply chain cost anomaly AI positioning system based on multi-modal depth tracing, a three-layer architecture is adopted, a dynamic threshold algorithm and a multi-level association map are combined, real-time detection and root positioning of cost anomaly are achieved, and the three-layer structure is data acquisition, dynamic modeling and visual tracing. The system has the advantages that dynamic adaptability is improved, reasonable fluctuation and abnormal risks are accurately distinguished, the system breaks through the rigid limitation of a traditional static rule, the judgment threshold value is dynamically adjusted by fusing market dynamics (such as bulk commodity prices and policy adjustment) and real-time service data, and a supplier-production-logistics-storage association graph is constructed, so that the risk of abnormal risks is accurately distinguished. And the conduction path of the cost abnormity in each link of the supply chain is visually displayed.

The invention discloses a degradation scene-oriented multi-residual fusion laser radar positioning method, which comprises the following steps of: firstly, performing state prediction by adopting an iterative extended Kalman filtering framework and an IMU (Inertial Measurement Unit), and constructing three complementary observation models of a global map matching residual, a local point-to-plane geometry residual and a luminosity residual; secondly, designing a degradation sensing mechanism based on a covariance ellipsoid, representing absolute and relative degradation degrees through a condition number and an information entropy respectively, realizing quantitative evaluation of system observability, and dynamically adjusting fusion weights of observation residuals; meanwhile, a self-adaptive weight strategy based on luminosity Jacobi intensity is introduced; and finally, performing anomaly detection through deviation comparison between the IMU predicted pose and the IEKF estimated pose, inhibiting pose jump, and ensuring continuity of a positioning time sequence. The method effectively overcomes the challenges of geometric constraint deficiency, positioning drift accumulation and the like of the LiDAR positioning system in the geometric degradation environment, does not need to adjust parameters for a specific scene, and improves the precision, robustness and real-time performance of global positioning in the degradation environment.

A system is provided for localizing an autonomous work vehicle within mapped agricultural environments when GPS may be unavailable. Range sensors capture LiDAR images that are segmented by a trained model into features such as trunks and canopy. Trunk points are clustered to compute centroids, which are used to estimate left and right tree lines and a lane centerline relative to the vehicle. This sensor-derived centerline is compared with georeferenced lane and row geometry stored in a digital map. A particle filter maintains multiple pose hypotheses, propagates them using vehicle odometry, and weights them according to alignment between the lane centerline relative to the vehicle and the mapped lane geometry for the particle. Resampling and averaging of high-weight hypotheses produces an adjusted pose that corrects for lateral and heading errors. The adjusted pose serves as input to a navigation controller that issues steering and speed commands, enabling accurate autonomous operation.

The invention discloses a highway pavement pit slot real-time identification and positioning system based on computer vision, and the method comprises the following steps: obtaining multi-modal sensor data of a to-be-detected pavement, the multi-modal sensor data at least comprising a visible light image; inputting the multi-modal sensor data into a pre-trained target detection model; outputting a detection result containing the target position and category through the target detection model; wherein the target detection model is an improved model based on a YOLO architecture. According to the real-time recognition and positioning system for the highway pavement potholes based on the computer vision, the target positioning accuracy can be comprehensively improved, better adaptability is achieved for positioning of small targets, irregular targets and complex scenes, meanwhile, stable convergence of the model training process can be promoted, negative effects caused by gradient fluctuation are reduced, and the recognition accuracy of the highway pavement potholes is improved. The consistency and reliability of detection results are effectively enhanced, and more solid performance support is provided for target detection tasks in different scenes.

To specify the position of a movable body even in a situation where it is difficult to specify the position based on the received radio wave intensity of a beacon signal.SOLUTION: The method includes generating reception data including an area ID of an area in which a receiver is disposed, a received radio wave intensity of a beacon signal, and a reception time; performing image analysis on image data of an imaged area to detect the presence or absence of a movable body in the imaged area, and identifying a movable body ID of the movable body when the movable body is detected; generating image analysis data including the area ID of the area, the presence or absence of the movable body, the movable body ID of the movable body when the movable body is present, and the imaged time; and determining the presence or absence of the movable body using the received radio wave intensity and specifying the presence area based on the strength of the received radio wave intensity when the presence area can be specified, and specifying the presence area based on the image analysis data when the presence area cannot be specified.SELECTED DRAWING: Figure 8

The invention belongs to the technical field of medicine, and discloses a pulmonary nodule intraoperative positioning system based on a flexible array sensor, which comprises the flexible array sensor arranged at a to-be-detected part of a subject and used for collecting a compression signal and obtaining stress distribution; the nodule area detection unit is used for determining a nodule area through clustering analysis according to the stress distribution; the morphological optimization unit is used for performing morphological optimization on the determined nodule region; the feature extraction unit is used for extracting related geometric features based on the optimized nodule region; and the visualization unit is used for visually displaying the stress distribution, the optimized nodule region and related geometric features. The method can assist doctors in accurately positioning the pulmonary nodules, and meanwhile, quantitative features of the nodules are provided.

The invention discloses a localized system migration adaptation method and device based on a multi-dimensional dependency graph. The method comprises the following steps: firstly, collecting cross-level dependency clues of a to-be-migrated system, and generating a dependency event sequence; then constructing a dependency graph based on the event sequence, and extracting a graph primitive used for describing an event association structure from the graph; generating an adaptive mapping tensor by using the map primitive to quantify the interface difference, instruction path offset and time sequence tolerance interval of each technical component in different localized target environments, and forming adaptive resistance distribution representing migration difficulty; on this basis, inferring the adaptation trend and possible blocking position of the system dependency chain, and obtaining a key dependency chain set which needs to be emphatically processed; and generating a structured migration rule according to the set and converting the structured migration rule into an executable migration instruction sequence, thereby realizing high efficiency and controllability of system migration. According to the method, the accuracy and the automation degree of localization migration are remarkably improved through the synergistic effect of the multi-dimensional dependency map and the tensorization adaptation analysis.

In various examples, probabilistic-based techniques may be used to predict intended paths of machines through an environment. For instance, various input data from perception systems, localization systems, mapping systems, and / or other sources of data may be used to determine occupant intent and compute scores associated with road segments in an environment. The scores may indicate a probability that certain road segments are part of the occupant's intended path for the machine, and the scores may be aggregated for each of the road segments across multiple instances of receiving an analyzing the input data. In some instances, a highest scoring road segment(s) may be selected as part of a predicted path of the machine. For instance, at a junction(s) where multiple road segments meet, the highest scoring road segment(s) may be selected as the predicted path.

Systems and methods are disclosed in which a playback device transmits a first sound signal including a predetermined waveform. In one example, the playback device receives a second sound signal including at least one reflection of the first sound signal. The second sound signal is processed to determine a location of a person relative to the playback device, and a characteristic of audio reproduction by the playback device is selected, based on the determined location of the person.

Various embodiments of the present invention are directed to a leak localization system configured to identify the presence of a leak within a pipe system and locate the same to a high degree of accuracy. At least one embodiment of such a leak localization system may comprise an emitting device configured in connection with an amplification device for the propagation of an acoustic pulse throughout the pipe. Distally disposed in relation to such emitting device may be at least one frequency sensing device configured to detect the frequency of the acoustic pulse, with the intent of determining any changes thereto. Such frequency sensing device(s) may be configured to generate sensor data which may used to localize an existing leak. Such sensor data may be communicated to a control center via an interconnected control system, wherein the localized leak may subsequently be communicated to the owner of the pipe for remediation.

The invention discloses a lightweight security protection method for file permission access in a localization scene, and belongs to the technical field of information security and localization system security. According to the method, the attack process is effectively delayed and automatic attacks are blocked through three aspects of technologies, including file access interception and underlying authority control, virtual Shell hiding and induction, and external command hiding and path migration. Meanwhile, a set of user-oriented file permission access and Shell obtaining and approving system is formulated, a set of file permission access management and control mechanism is formed, and safety energizing and force applying are carried out on a localized system. According to the lightweight security protection method, the limitation of a traditional method is broken through, a security policy is embedded into a file system and a command path, the lightweight security protection method is suitable for a domestic system in a specific scene, and on the premise that normal users and operation and maintenance process availability are guaranteed, attack chain execution can be effectively delayed, automatic attacks are prevented, and system security is enhanced.

Systems and techniques for localization of disturbances are illustrated. One embodiment includes a method for detecting a disturbance in an area of operation, the area of operation including a plurality of transmitter-receiver pairs. The method obtains, based on a first plurality of signal transmissions between the plurality of transmitter-receiver pairs, at least one baseline channel impulse response (CIR) measurement. The method obtains, based on a second plurality of signal transmissions between the plurality of transmitter-receiver pairs, at least one additional CIR measurement; The method obtains, based on the at least one additional CIR measurement and the at least one baseline CIR measurement, at least one residual CIR measurement. The method derives, based on a sufficient similarity between the at least one residual CIR measurement and at least one particular key of a plurality of keys, localization data for at least one disturbance detected within the area of operation.

Systems and methods for improving label localization are disclosed herein. An exemplary system comprises: a plurality of labels configured to transmit data in response to requests; and a gateway that queries the plurality of labels at an initial query rate. The gateway can be configured to: receive an initial request; in response to receiving the initial request, transmit a signal to the plurality of labels causing a first subset of the plurality of labels to transmit the data at a second query rate that differs from the first query rate; and receive the data from a second subset of the plurality of labels at the first query rate.

An autonomous robot localization system for managing a plurality of autonomous robots is disclosed. The autonomous robot localization system includes a plurality of rail paths including a plurality of markers, a plurality of autonomous robots, and a system controller. The plurality of rail paths is used for guiding the plurality of autonomous robots. The plurality of autonomous robots include a plurality of readers, and a plurality of robot controllers. The plurality of readers include a plurality of sensors The plurality of robot controllers generate a plurality of marker patterns for corresponding marker based on assigned presence and absence status of the plurality of marker bits. The system controller manages movements of the plurality of autonomous robots based on a plurality of commands sent to the plurality of robot controllers.

This invention relates to the field of defect detection technology, specifically to a high-voltage cable defect location system and method based on a two-dimensional ultrasonic array. The system includes a signal main peak acquisition module, a lateral deviation calculation module, an excitation timing optimization module, a main peak spatial focusing module, and a focusing area control module. This invention utilizes a multi-element spatial collaborative acquisition method of a two-dimensional ultrasonic array. It constructs a signal spatial mapping relationship through the main peak timing characteristics, combines path difference parameters to achieve fine analysis of the propagation characteristics of multi-source signals, optimizes the excitation timing and array spatial response structure by adjusting the excitation sequence, periodically determines spatial convergence indices, identifies the main peak focusing state of the defect area, and dynamically adjusts the element weight distribution to improve the signal response capability of specific spatial areas. The spatial location of the defect area is thus clearly distinguished, effectively improving the resolution and accuracy of multi-point defect location in complex cable structures.

This invention relates to the field of optical inspection technology, specifically to a micro LED wafer-level rapid defect localization system based on photoluminescence. A broadband pulse excitation module outputs pulsed laser light matching the characteristics of the material under test; a two-dimensional scanning platform carries the wafer and achieves nanometer-level precise positioning; a time-resolved acquisition module collects fluorescence signals and converts them into time-resolved photoluminescence data; a data processing and control module synchronously controls the operation of each module, receives and processes the time-resolved photoluminescence data, extracts the transient luminescence intensity and carrier lifetime of each detection point, compares the two-dimensional feature vector formed by these two parameters with a preset defect feature database, identifies the defect type of each micro LED chip, and generates a wafer-level defect fingerprint spectrum. This system can accurately distinguish different types of failure modes such as epitaxial defects, surface state defects, and poor electrode contact, significantly improving detection efficiency and defect classification accuracy.

The invention relates to a wireless network interference detection and positioning system based on an end-to-end performance test, and the system comprises a cloud service platform which issues a task scheduling instruction and a test instruction to a test device, and carries out the data analysis and result visualization based on an index fed back by the test device; a geostationary satellite providing a geostationary satellite signal including clock and geolocation information; the test equipment receives a test instruction of the cloud service platform after executing test equipment positioning and time service, collects an air interface index and an end-to-end performance index, and generates test data traffic; the test equipment sends the test data flow to the test server and receives test result data returned by the test server; and the test server is responsible for processing the data surface traffic, executing an end-to-end performance test based on the received test data traffic, and sending test result data back to the test equipment. Compared with the prior art, the method can actively realize interference detection, type diagnosis and accurate positioning.

A transmitter vehicle control system (110) of a transmitting vehicle (104) is disclosed. The transmitter vehicle control system comprises: a transmitter memory (114) that stores machine-executable transmitter instructions (130); a transmitter computing system (112). Execution of the machine-executable transmitter instructions causes the transmitter computing system to: control (200) an optical display system (120) of the transmitting vehicle to produce an optical display (122) using optical display commands (132); receive (202) transmitter location data (134) from a localization system (118) of the transmitting vehicle; construct (204) optical display metadata (136) from the optical display commands (132) and the transmitter location data (134); and transmit (206) the optical display metadata via an inter-vehicle wireless communication system (108).

The application belongs to the technical field of hydrogen safety monitoring, and specifically relates to a hydrogen leakage detection and positioning system.The system comprises a hydrogen leakage far-field detection unit array, a data platform and a hydrogen leakage on-site attached detection unit.The far-field detection unit array is composed of multiple wireless hydrogen sensors and a leakage hydrogen collection device, is used for remotely and timely detecting the hydrogen concentration of a hydrogen system to be detected, and sends the detected hydrogen concentration and the corresponding detection unit number to the data platform;the data platform determines the hydrogen leakage position accordingly;the hydrogen leakage on-site attached detection unit is arranged in the detection range of each far-field detection unit, is attached to a key position with a relatively high leakage probability in the hydrogen system to be detected, and realizes visual detection of hydrogen leakage;the system can improve the safety, accuracy and cost-effectiveness of hydrogen leakage monitoring, and is suitable for various application scenarios such as hydrogen refueling stations and hydrogen energy production and storage sites.

The invention relates to a robot positioning method and device, a medium, electronic equipment and a program product, and the method comprises the steps: obtaining a first visual image collected by a camera disposed on a robot in response to the repositioning operation of the robot, and determining the visual pose of the robot in a world coordinate system based on the first visual image; the visual pose is verified; and transmitting the visual pose passing the verification to a laser radar positioning system of the robot, and performing repositioning on the robot by taking the visual pose passing the verification as a prior pose through the laser radar positioning system. According to the method, the visual pose determined based on vision is verified, the visual pose passing verification is transmitted to the laser radar positioning system, an initial value is provided for the laser radar positioning system, repositioning of the robot is carried out, and therefore the repositioning accuracy of the robot is improved.

An apparatus and method for automatic beat detection during electro anatomical mapping. The apparatus includes at least a catheter comprising at least a transducer, at least a localization system, at least a processor and a memory communicatively connected to the at least a processor. The memory instructs the processor to receive the at least a potential signal from the at least a transducer and the at least a position signal from the at least a localization system, determine, using a beat detection algorithm, at least a beat template as a function of the at least a potential signal, compare the at least a beat template with the at least a potential signal over time, and detect beat timing as a function of the comparison of the at least a beat template and the at least a potential signal.

The application relates to the computer technical field, in particular to a global data compliance configuration method and system, electronic equipment and program product, wherein the method comprises the following steps: judging whether a data configuration request is received; if the data configuration request is received, determining a target deployment region according to the data configuration request, and building an initial system of the target deployment region; and connecting the initial system with a preset data compliance configuration center, and generating a new localization system meeting the deployment requirements of the target deployment region. Therefore, the problem that enterprises in different countries have different data management systems, the differentiation increases over time, and the operation and maintenance cost increases is solved, and unified configuration and unified system of platform data compliance in different countries can be realized, so that unified operation is realized.

The embodiment of the application provides a kind of indoor-oriented robot positioning method, electronic equipment, positioning system and medium, belong to robot control technical field.The method comprises: obtaining target line drawing track, and its pose data planning is carried out, obtains the target pose data of multiple time steps.Then the distance data between laser range finder and line laying robot and the laser point coordinate matrix of laser point are acquired, and pose data calculation is carried out according to laser point coordinate matrix and distance data, obtains the initial pose data of line laying robot relative to laser range finder at target time step, then according to initial pose data and target pose data of target time step, error calculation is carried out, and motion error data is obtained.Then the control signal generation is carried out to motion error data by preset prediction motion model, and the expected offset signal is obtained.Finally, according to the expected offset signal, line laying robot is moved.The embodiment of the application can realize the accurate line laying in room.

The invention relates to path prediction for autonomous or semi-autonomous systems and applications. In various examples, probability-based techniques may be used to predict an intent path of a machine through an environment. For example, various input data from perceptual systems, localization systems, map systems, and / or other data sources may be used to determine occupant intent and calculate scores associated with road segments in an environment. These scores may indicate the probability that certain road segments are part of the path of the machine intended by the occupant, and may be aggregated for each road segment across multiple instances of receiving and analyzing the input data. In some cases, the highest-score road segment may be selected as part of the predicted path of the machine. For example, at an intersection where a plurality of road sections intersect, the road section with the highest score can be selected as a predicted path.

A localization system for a forklift performing inventory management is disclosed. The system may access map data comprising a dimensional layout of a warehouse environment. The method includes receiving from one or more forklift sensors associated with a forklift, forklift operation data, the forklift operation data indicative of one or more forklift operation behaviors performed during an operation period. The method includes receiving from one or more scanning sensors, inventory data, the inventory data indicative of one or more inventory items scanned during the operation period. The method includes, based at least in part on the map data, the forklift operation data, and the inventory data, concurrently generating localization data to localize the forklift in the warehouse environment during the operation period.

The present application relates to the technical field of medical data processing, in particular to a kind of lung nodule preoperative virtual positioning system assisted by augmented reality glasses, including memory and processor, the processor executes the computer program stored in the memory, to realize: the construction of lung lobe tubular structure lung lobe tubular structure chart;According to the distance distribution between nodes and blood vessel attribute information, the basic attribute parameter of each edge is obtained, the current surface gripping point and lesion center point are acquired;Obtain transverse attenuation factor and axial projection factor, determine the deformation resistance weight of each edge in combination with basic attribute parameter;According to the deformation resistance weight of the edge accumulated between the nodes corresponding to the current surface gripping point and lesion center point, the deep displacement transmission degree is obtained;According to deep displacement transmission degree and the pulling direction of surgical instrument, the lesion center point position is corrected to obtain the corrected lesion position.The present application ensures that the virtual nodule rendered in AR glasses is accurately matched with the position of deep real lesion.

A vehicle control system incorporates a variety of neural networks used to compute multiple wheel slip estimates for multiple wheels based on wheel speed measurements for each wheel and outputs from other vehicle sensors, such as an IMU or GNSS receiver. Separate neural networks estimate the wheel slip for each wheel. These wheel slip estimates can be used to select wheel speed measurements to update a Kalman filter. The Kalman filter further updates its state based on GNSS measurements that were not rejected according to a rejection algorithm that includes shape-matching with respect to a trajectory estimated by the Kalman filter.

The invention discloses a state sensing and fault detecting and positioning system for a wind power generation line. The state sensing and fault detecting and positioning system comprises a distributed state sensing unit, an intelligent data transmission network, a cloud comprehensive processing platform and a multi-dimensional interaction terminal. The distributed state sensing unit collects line operation parameters through a multi-dimensional sensor group; the intelligent data transmission network realizes data layered transmission and edge preprocessing; the cloud comprehensive processing platform adopts a data fusion module, a fault diagnosis module, a positioning calculation module and the like, and realizes fault identification, positioning and evaluation in combination with various formulas; and the multi-dimensional interaction terminal displays a result and supports operation. According to the system, the fault detection accuracy and timeliness are improved, accurate fault positioning and influence range quantification are realized, the operation and maintenance cost is reduced, stable operation in a complex environment is guaranteed, and the data utilization value and decision scientificity are improved.

The invention discloses a multi-mode cooperative apple detection and intelligent picking method. According to the method, a layered multi-sensor fusion composition and positioning system is constructed, and line planting interference is eliminated and positioning continuity under the satellite shielding condition is improved through dynamic switching of an orchard three-dimensional map construction and robot pose estimation system with differential GNSS-RTK and laser radar-inertial navigation IMU tight coupling in cooperation with point cloud remapping; constructing an apple detection visual system composed of a binocular camera and a depth camera; a YOLOv11 target detection model is improved, a mixed local attention mechanism MLCA is embedded in a backbone network, a neck adopts a grouped sparse convolution GSConv and VoV-GSCSP cross-stage structure, and a head designs a group normalization sharing-scaling module, so that high-precision lightweight detection and occlusion grading are realized; the rigid and flexible mechanical arms perform cooperative work division picking according to shielding grading, the rigid arms pick low-shielding targets on the peripheries of fruit trees, and the flexible arms process high-shielding targets on the inner sides of the fruit trees. According to the method, the fruit identification precision, the positioning robustness and the picking efficiency in a complex environment are improved.