102 results about "Localization system" patented technology

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.

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 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.

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 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.

Systems and methods for determining the position of at least one element are disclosed herein. The system receives, via a device with a first sensor, angle of incidence data from at least one element with a second sensor. The system receives position information of the device within a space and determines a height difference between the device and the at least one element based on a first pressure measurement of the first sensor and a second pressure measurement of the second sensor. The system generates a vector between the device and the at least one element based on the angle of incidence data and determines a plane that specifies the height of the at least one element based on the determined height difference. The system determines a position of the at least one element based on the intersection of the vector and the plane.

This invention provides an autonomous cognitive planning and reasoning method and apparatus for real-time localization in multi-target cooperative scenarios, relating to the field of cooperative localization technology. The method includes: acquiring multi-source environmental data of the target to be localized, including radar point cloud data, inertial navigation data, and visual image data; extracting features from the multi-source environmental data to obtain environmental features of the cooperative environment; predicting the environmental situation of the target to be localized based on the environmental features to obtain future environmental change trends; performing multi-target optimization planning on the future environmental change trends to generate the optimal cooperative path for the target to be localized; and generating the real-time localization result of the target to be localized based on the optimal cooperative path. This invention addresses the shortcomings of existing real-time localization systems, such as poor adaptability in high-speed cooperative environments, path planning and decision-making failures, and insufficient real-time localization accuracy.

A method for controlling the trajectory of a motor vehicle (MV) comprising a vehicle localization system including a single-antenna satellite geolocation unit (ANTE) and an inertial geolocation unit cooperating with a georeferenced high-definition map; said method, implemented by said localization system, consisting of exploiting the rear axle drift angle (RAR) of said vehicle to estimate, in real time, the yaw angle, or heading, of the vehicle throughout the determined trajectory of the vehicle, particularly during turns, using a dynamic model representing the vehicle, of the bicycle model type (BM), in an x, y reference frame, taking into account the position of the satellite geolocation unit's antenna (ANTE) in the vehicle's x, y reference frame and the antenna drift angle (ANTE). (Figure 1)

This invention discloses a landmark matching PDR positioning method in multi-intersection scenarios, belonging to the field of indoor positioning technology. The method enhances landmark credibility by constructing landmarks through multi-dimensional information perception. Simultaneously, by adaptively extracting landmarks with different spatial features, this method is applicable to various landmarks, such as some unconventional intersections. Furthermore, this application uses different thresholds to define the radius of influence of different landmarks, solving the localization system mismatch problem caused by traditional single-location detection of landmarks, thus improving positioning accuracy to a certain extent. This application also further improves positioning accuracy by incorporating heading weights into trajectory similarity metrics, achieving dual correction of the position and heading of moving targets.

The invention relates to at least one method and at least one localization system for localizing a portable component (6, 13) of an imaging system (1), wherein the portable component (6, 13) is arranged on a patient (8) for an examination procedure, comprising: - Emitting at least one optical localization signal (210, 211, 212) in an imaging area (12) of the imaging modality (11) by at least one optical transmitting element (201, 202, 203), - Receiving the at least one emitted optical localization signal (210, 211, 212) by at least one optical receiving element (220, 221, 222) which is arranged on the portable component (6, 13), - Transmission of at least one received optical localization signal (210, 211, 212) via an optical transmission link (230 - 235) to an electronic evaluation unit (240) which is located outside an examination room (250), and - Localization of the portable component (6 ,13) based on the at least one received optical localization signal (210, 211, 212) by the electronic evaluation unit (240).

Systems, methods, and media are provided for localization of capture and processing of spoken audio based on predictive modeling. A system for capturing voice communications in multi-user sessions comprises a user client participating in multi-user sessions with voice communication channels, a memory buffer storing audio data streams transmitted via voice channels, a voice detection component analyzing the buffer and tagging portions containing spoken audio, a compression component compressing tagged portions, a stitcher component compiling compressed portions into audio chunks, a client analysis component monitoring client states, a communication component transmitting audio chunks to remote servers when clients are in non-core states, and a controller component clearing memory buffers after receiving server confirmation of chunk receipt.

A battery-less, wirelessly powered localization system is described. In an embodiment, a wirelessly powered localization system, includes an external Tx antenna that generates a radio frequency (RF) signal that wirelessly powers a set of one or more localizers, an external Rx antenna that receives an output from the localizers, a localizer including: an Rx antenna that receives a radio frequency (RF) signal from an external Tx antenna, a passive four-stage full-wave CMOS rectifier that generates a DC voltage using the received RF signal, a low-dropout regulator that generates a stable DC voltage based on the rectifier-generated voltage, a frequency divider circuit to divide the frequency of received RF signal, and a Tx antenna that outputs an RF signal at the divided frequency to the external Rx antenna.

This technology provides acoustic event localization that can detect unknown classes by updating a pre-trained acoustic event localization model using a small number of unknown acoustic signals. [Solution] The learning device includes an embedding extraction unit that uses an extraction unit included in a learned acoustic event localization model to extract embeddings for information based on acoustic signals included in prototype creation data; a prototype creation unit that uses the embeddings extracted by the embedding extraction unit and the class information and angle information included in the prototype creation data to create a prototype for each combination of class and angle range; and an update unit that updates the learned acoustic event localization model by adding the prototypes created by the prototype creation unit to the classification unit included in the learned acoustic event localization model.

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

A system comprises a plurality of first computing devices, wherein each first computing device is wearable by a user or is affixed to an asset within an environment and configured to generate and transmit a message; and a plurality of second computing devices installed within the environment, wherein a portion of the plurality of second computing devices are configured to detect at least one of the plurality of first computing devices, receive messages transmitted by a detected first computing device, and timestamp the messages before transmitting the messages to a computing server system. The computing server system is configured to determine at least a location of the detected first computing device based at least upon the messages received from the portion of the plurality of second computing devices.