64 results about "Line matching" patented technology

Implementations claimed and described herein provide systems and methods for map routing matching system, wherein the one or more machine-learning models scores link candidates of location data points to determine a most probable route. In one implementation, use a machine-learning model to calculate a probability score for a plurality of link candidates. The machine-learning model scores each link candidates based on weighting set by training data, wherein the weighting associated with at least one of travel time, match distance, heading difference, speed conformity, road curvature, road classification, or travel distance versus time delay. A plurality of total probability scores derived from one or more combinations of probability scores for respective link candidates is calculated, wherein one link candidate is selected for each location data point.

The invention relates to a laser radar point-to-line weighted matching method based on edge point quality evaluation, and belongs to the technical field of measurement. The method solves the problems that in traditional point-to-line matching, due to the fact that the quality of edge points is not evaluated, the pose estimation precision is low, and the robustness of an unstructured scene is poor. According to the technical scheme, a preprocessing module screens candidate edge points through projection point cloud, target segmentation and roughness calculation; the position judgment module classifies the candidate points as middle, left or right edge points according to the category consistency of the adjacent points; the direction consistency judgment module calculates a direction standard deviation and screens effective edge points; and the dynamic weighting module allocates weights according to an exponential attenuation function, and optimizes the pose through weighting residual errors. The method has the advantages that the pose estimation precision is remarkably improved, the weak structure environment adaptability is enhanced, the calculation efficiency is optimized, and redundant iteration is avoided.

The invention discloses a terminal strip drawing terminal identification and cable connecting line matching method and system, and the method comprises the steps: obtaining the layer, geometric shape, text and other information of a terminal strip CAD graph, and extracting the needed line segment and text; training a target detection model, identifying a terminal strip area in the terminal strip drawing, and cutting out a sub-graph; adopting a sliding window method to cut the terminal row into a plurality of sub-graphs with a certain overlapping area; labeling table cells in the sub-graphs, making a data set, and training an RT-DETR model; inputting the sub-graph into the trained RT-DETR model for prediction, outputting cell coordinate information in the sub-graph, and restoring the cell coordinate information to the original graph; all cable connecting lines connected with the terminal strip area are calculated, and the cells representing the terminals are matched with the cable connecting lines according to the geometrical relationship. According to the invention, the matching relation between the terminal and the cable connecting line can be effectively detected, the structured data can be automatically generated, and rapid extraction and analysis of drawing information can be realized.

A computer that includes a processor and a memory, the memory including instructions executable by the processor to determine top key points from one of an aerial feature map or one or more ground feature maps and project the top key points as corresponding lines on the other of the aerial feature map or the one or more ground feature maps. The memory includes instructions to determine a depth estimate for the top key points on the corresponding lines. A high-definition estimated three degree-of-freedom pose of a ground view camera is determined in global coordinates by iteratively determining geometric correspondence between the top key points and the corresponding lines until a global loss function is less than a user determined threshold.

A processor, computer system, and method for hierarchical cache flush. The processor includes a first core and a last level cache. The first core includes a decoder, a memory order buffer, and a first core internal cache. The decoder, in response to an instruction of an instruction set architecture specifying a key identification code and an address for a hierarchical cache flush, generates at least one microinstruction. According to the at least one microinstruction, a flush request with the specified key identification code and the specified address is supplied through the memory order buffer to the first core internal cache, and then from the first core internal cache to the last level cache, so that the last level cache flushes a matching cache line matching the specified key identification code and the specified address.

The invention discloses a flexible automatic assembly line system adaptive to multiple specifications, and relates to the technical field of flexible automatic assembly lines, the flexible automatic assembly line system comprises a main conveying belt and an auxiliary frame, the two sides of the main conveying belt are each provided with a connecting frame, the top of each connecting frame is provided with a top plate, and the top plate is internally provided with a visual detection module used for intelligent identification. According to the flexible automatic assembly line system adaptive to multiple specifications, a scanning result can be transmitted to the information acquisition module, acquisition and local storage can be performed by using the information acquisition module, information backup processing is realized, and then information comparison is performed through the recorded information comparison module; and then the corresponding assembly line module can be obtained by utilizing the assembly line matching module through comparison, the obtained scheme information is finally transmitted to the control module, automatic control can be realized by utilizing the design of a controller in the control module, and different assembly lines can be customized according to the requirements of the intelligently identified flexible assembly parts with different specifications.

The embodiment of the application provides a shield tunneling machine cutter head water jet cleaning test method and a shield tunneling machine, wherein, in the method, the Hungarian distribution algorithm performs line comparison, cross-line matching and minimum cost relationship establishment on a time matrix, so that a clear minimum time correlation is formed between nozzles and sub-areas, and a calculable balanced relationship of cleaning load is formed among multiple nozzles; the particle swarm optimization algorithm is used to perform fine adjustment of nozzle mounting points, so that nozzle coordinates can be continuously updated within a search range after displacement in a fixed direction; the position of a group of particles is iterated to find a higher reachability of a jet posture under distance and angle conditions, so that the spatial relationship between nozzle pointing, action area normal vector and cutter head structure is updated in multiple rounds, higher coverage matching accuracy is obtained, the nozzle start time and the time amount of the assigned sub-area are formed into a unified time axis and are aligned with a rotation reference, the nozzle start-stop behavior and the cutter head position form a continuous and recordable cleaning structure.

The application discloses a power pole inclination detection and early warning method and related equipment, first, the power pole image is collected by a shooting device and corrected, and then the corrected image is input into a power pole image segmentation model composed of a multi-layer channel feature extraction network MCFNet, a hollow convolution bar pooling module DCSP and a channel attention module CE. MCFNet extracts semantic information from channels layer by layer, reduces calculation parameters and improves efficiency; DCSP uses hollow convolution and bar pooling to expand the receptive field and improve the shape feature recognition effect of the power pole; CE suppresses redundant channel information and highlights effective features. The model can cope with complex environments and overcome the low precision of existing models. Then, the polar line matching algorithm is used to calculate the left and right side edge disparity of the power pole, a three-dimensional point cloud is constructed, and the inclination angle calculation precision is improved. Once the inclination angle exceeds the preset threshold, a warning is sent within a few seconds, the safe operation of the power transmission tower is ensured, and the accident probability is reduced.

Implementations claimed and described herein provide systems and methods for map routing matching system, wherein the one or more machine-learning models scores link candidates of location data points to determine a most probable route. In one implementation, use a machine-learning model to calculate a probability score for a plurality of link candidates. The machine-learning model scores each link candidates based on weighting set by training data, wherein the weighting associated with at least one of travel time, match distance, heading difference, speed conformity, road curvature, road classification, or travel distance versus time delay. A plurality of total probability scores derived from one or more combinations of probability scores for respective link candidates is calculated, wherein one link candidate is selected for each location data point.

According to embodiments of the present disclosure, methods, apparatuses, devices and media for lane line fusion are provided. The method includes obtaining first lane line information associated with a first sensor and second lane line information associated with a second sensor; determining first matching information between a first set of lane lines indicated by the first lane line information and a set of reference lane lines indicated by reference lane line information; determining second matching information between a second set of lane lines indicated by the second lane line information and the set of reference lane lines indicated by the reference lane line information; and fusing the first lane line information and the second lane line information based on the first matching information and the second matching information. Thereby, the success rate of lane line matching can be improved in special road sections and lane line mis-detection, and the accuracy and robustness of lane line matching in all scenarios can be improved.

The invention relates to a four-layer monolithic three-dimensional integrated computing device and a control method thereof.The four-layer monolithic three-dimensional integrated computing device sequentially comprises a logic control layer, a resistive memory computing layer, a near memory data processing layer and a near-end cache preprocessing layer from bottom to top, and the logic control layer is responsible for generating an access control signal and a data scheduling strategy and driving the resistive memory computing layer to operate; the resistive random access memory computing layer executes dictionary table lookup based on the received table lookup task, or obtains a multi-line matching result through a parallel comparison strategy in a preset matching scene; the near storage data processing layer stipulates and combines multiple rows of matching results, and outputs stipulated matching results; the near-end cache preprocessing layer stores the protocol result, and completes data rearrangement, packaging and preprocessing of the to-be-processed data according to the received scheduling instruction, so that the problems of high dictionary table lookup delay, high energy consumption, relatively low vector retrieval bandwidth, slow response and the like in related technologies are solved; delay and energy consumption of dictionary table lookup are reduced, and vector retrieval bandwidth, response speed and energy efficiency ratio are improved.

The application discloses a visual positioning method and device, a storage medium and an electronic device, and relates to the technical field of information. The method comprises the following steps: acquiring a current frame image and a previous frame image corresponding to the current frame image; extracting feature points and feature lines corresponding to the previous frame image and feature points and feature lines corresponding to the current frame image, and performing feature point matching and feature line matching on the previous frame image and the current frame image to obtain a feature point matching pair and a feature line matching pair; constructing a point reprojection error and a line reprojection error between the previous frame image and the current frame image based on the feature point matching pair and the feature line matching pair; constructing a target optimization function according to the point reprojection error and the line reprojection error, and solving a relative pose between the current frame image and the previous frame image; and performing visual positioning on a target object according to the relative pose. The application can overcome the limitation of feature point extraction in a weak texture environment, thereby improving the accuracy and robustness of visual positioning.

The invention provides an interactive motion capture and personalized work generation method for virtual reality, and belongs to the technical field of interactive capture and generation, and the method comprises the steps: carrying out the mining of user demands, and obtaining a demand line set, matching a coarse scene matched with each demand line and a fine scene matched with each demand anchor point in each demand line from a scene building database, and carrying out scene building on all the coarse scenes and the fine scenes to obtain a virtual reality scene; in the virtual reality scene, a response interaction matrix of the user responding to each preset output is captured, the response interaction matrix and a preset interaction matrix are analyzed, meanwhile, a self-defined interaction matrix of the user in a non-preset output stage is captured, and the self-defined interaction matrix and an analysis result are subjected to complementary processing to obtain key design features of different demand lines; and carrying out supplementary processing on the key design features to generate personalized works and outputting the personalized works. And the core pain point of disjunction of art creativity and technology realization in digital media art VR creation is solved integrally.

The application relates to a space non-cooperative target position and posture measurement method based on binocular event flow. The method comprises the following steps: building a binocular event camera according to the left-right fixed connection installation of two event cameras; photographing a target in motion by using the binocular event camera; projecting the left and right event flows collected in a fixed time interval into a three-dimensional space; reconstructing a target three-dimensional straight line according to a straight line; obtaining a projection straight line according to a pre-set projection relationship; matching events in the left and right event flows with the projection straight line according to the nearest neighbor principle; calculating the distance from the left and right event flows of the binocular event camera to the corresponding projection straight line according to the event-straight line matching result; and solving the space non-cooperative target position and posture by minimizing the distance through a nonlinear optimization algorithm. The method can adapt to the space non-cooperative target position and posture measurement in a complex space environment.

The invention discloses a machine vision board line distinguishing and edge banding machine ink-jet printing system. A visual collection unit collects board lines, a data processing unit extracts multi-dimensional texture features and generates dynamic edge banding patterns and two-dimensional codes, an edge banding execution unit carries out edge banding through a white edge banding belt, and an ink-jet printing unit carries out printing after scanning the codes. The system solves the problems that the edge band lines are not unified with the plates and personalized customization is limited, achieves accurate line matching, reduces edge band reserve and is suitable for processing of high-grade plate furniture.

The application provides a vortex reconstruction and tracking method, aiming at the defects of the traditional vortex reconstruction method in three-dimensional sampling, pseudo matching suppression and the like, the application effectively matches vortex axes in three-dimensional directions, takes into account the three-dimensional sampling effect, and has a better reconstruction effect on isotropic vortices; meanwhile, by using the constraint characteristics of the vector direction of Liutex, physical constraint conditions during matching are set, the phenomenon of pseudo vortex axis point matching is effectively reduced; by using a graph neural network and reinforcement learning, vortex axis matching is optimized, three-dimensional reconstruction precision is improved, and pseudo matching is suppressed by global topological constraints; by extracting vortex axis points with dominant absolute rotation intensity, changes in the structure of a single vortex when evolving over time in a flow field are intuitively observed.

The application discloses a K-nearest neighbor power line identification method using comprehensive features, which comprises the following steps: inputting radar target echo to signal detection to obtain strong scattering points, correlating multiple frames of data to obtain a pitch-distance two-dimensional graph and an X-Y two-dimensional graph, identifying a power tower to obtain a power tower position, obtaining power line straight lines of a tower topology, detecting the power line straight lines, extracting power line features, obtaining power line straight line feature vector samples and noise straight line feature vector samples, identifying unknown straight line feature vectors according to an expert knowledge base, and obtaining a power line identification result. The application is based on power line Bragg scattering echo peaks, combined with closely related power tower target identification, extracts comprehensive features, performs power line matching on the power line straight lines obtained through straight line detection and the power line straight lines obtained through the tower topology, and realizes accurate identification of the power line based on a K-nearest neighbor algorithm, so that the correct identification probability is high, the target identification range is wide, and the self-adaptation capability is strong.

The application relates to the technical field of automatic driving, and discloses a lane line matching method and device, which comprises the following steps: identifying lane lines in a video picture, adopting a polynomial curve to represent the lane lines to be matched, and obtaining lane line equations; predicting the similarity between any two lane lines based on the lane line equations; constructing a matching cost function according to the similarity; obtaining a matching cost matrix of the lane lines to be matched through the matching cost function; solving the matching cost matrix to obtain two optimally matched lane lines; and judging whether the two optimally matched lane lines satisfy preset conditions, and matching the two lane lines satisfying the preset conditions as the same lane line at different time points or in different spaces. The application has small calculation amount, faster matching speed, can be used for matching the observation of the same lane line at different time points and in different spaces, has a larger application range, and achieves a simpler effect.

The application provides a multi-sensor data fusion positioning system. The multi-sensor data fusion positioning system comprises a combined positioning subunit, a two-dimensional state error Kalman filtering unit, a laser radar point cloud matching positioning unit and a three-dimensional state error Kalman filtering unit. The combined positioning subunit comprises a GNSS module, an RTK service module and an IMU module. The two-dimensional state error Kalman filtering unit comprises a high-precision map module, a visual lane line detection module, a lane line matching module, a wheel speed odometer calculation module and a first state error Kalman filtering module. The laser radar point cloud matching positioning unit comprises a point cloud module, a point cloud map module, a positioning initialization module and an NDT matching positioning module. The three-dimensional state error Kalman filtering unit comprises a Kalman filtering initialization module, an IMU pose state quantity calculation module, a judgment module, a second state error Kalman filtering module and a posteriori pose module. The multi-sensor data fusion positioning system can enhance the robustness of global positioning and has strong scene adaptability.

The invention discloses an automatic measurement and control system, device, equipment and medium for a short-line matching segmental beam, and relates to the technical field of automatic measurement and control, the system comprises a data acquisition module, a data processing module, a control module and a display module, the data acquisition module comprises a plurality of sensors and is used for acquiring original data of the segmental beam in real time; the data processing module is used for processing the data acquired in the data acquisition module; the control module processes the obtained information data based on the data processing module; the display module is used for displaying a data acquisition result, a processing process and a control state in real time and supporting parameter setting and historical data query; according to the automatic measurement and control system, device and equipment for the short-line matching segmental beam and the medium, automation of the whole process from data acquisition, preprocessing and calculation to deviation analysis is achieved, manual intervention is not needed, the construction waiting time is greatly shortened, and the prefabrication and assembly progress of the segmental beam is accelerated.

The invention provides a same-tower multi-loop power transmission line identification method and system based on unmanned aerial vehicle routing inspection, relates to the field of unmanned aerial vehicle routing inspection of power lines, and aims to solve the problems that in the prior art, vision is narrow, global information and local details of a tower are difficult to synchronously obtain, different loops are difficult to distinguish, and defective parts are inaccurately identified. According to the method, a tower global image and an inspection target local image are obtained, and image feature matching, preliminary judgment of inspection of the same line, further judgment of inspection of the same line through color recognition and final judgment of inspection of the same line through character recognition are sequentially carried out on the tower global image and the inspection target local image, namely, based on triple image recognition, the inspection of the tower global image and the inspection target local image is completed. And finally, the same line is judged to be inspected, and an accurate inspection image is obtained. According to the invention, the problems in the prior art are solved, the global information and local details of the tower can be synchronously obtained, and the accuracy of line matching and the accuracy of identification are improved.

The application discloses a lane line matching method based on deep learning, which comprises the following steps: obtaining historical trajectory data of a target vehicle and historical trajectory data of environment vehicles; obtaining all historical lane line information corresponding to the historical trajectory data of the target vehicle based on the historical trajectory data of the target vehicle; aligning each continuous historical lane line information with the historical trajectory data of each vehicle through coding, and then merging to obtain a sample vector; inputting the sample vector into a constructed deep learning network, training and adjusting the deep learning network, so that the deep learning network outputs a similarity calculation result of each historical lane line information and the historical trajectory data of the target vehicle; when actual lane line matching is performed: obtaining an actual vector based on actual trajectory data of the target vehicle, actual trajectory data of the environment vehicles and actual lane line information after coding; the deep learning network outputs a similarity calculation result based on the input actual vector.

The invention discloses a multifunctional portable cable alignment instrument circuit based on the Lora technology, and belongs to the technical field of alignment devices, the alignment instrument circuit is an alignment instrument host circuit, and the host circuit comprises a master control single-chip microcomputer, an LORA communication chip, a voltage boosting module, a function switching module and at least 20 alignment modules; the LORA communication chip is connected with the master control single-chip microcomputer and is used for communicating with a slave machine of the alignment instrument. The voltage boosting module is connected with the main control single chip microcomputer and the battery bus and is used for boosting a pulse signal of the main control single chip microcomputer into a 12V pulse signal; the function switching module is connected with the main control single chip microcomputer and the voltage boosting module and used for switching an alignment mode and a ground resistance measuring mode; and the alignment module is connected with the function switching module. The cable alignment instrument integrates three functions of inductive line tracking, line alignment identification and ground resistance measurement, and the three operation requirements can be met by using the portable cable alignment instrument, so that the measurement process is optimized, and the working efficiency of a user is improved.

The invention provides an operation system and an operation method with multi-order thermometer coding. The computing system includes a memory and a search encoder. A memory includes: a plurality of memory strings, each memory string coupled to a match line and a source line, the match line coupled to a sense amplifier, and each memory string including a plurality of series devices, each series device having and responsive to a configuration state and a corresponding control input, the configuration state being one of three or more mutually exclusive state values; and a plurality of word lines, each word line coupled to a corresponding one of the plurality of corresponding control inputs of the plurality of series devices. The search encoder is used for receiving a search and driving a plurality of word lines according to the search code. Each memory string is configured to couple a match line and a source line via an impedance, the impedance being responsive to an amount of match between a plurality of configuration states of the memory strings and a plurality of corresponding control inputs of the plurality of series devices, and the sense amplifier is configured to generate a corresponding indication of the amount of match, the corresponding indication being indicated by the impedance.

The invention provides a rapid mold generation method based on large model data application. The method comprises the following steps: acquiring engineering data information of a to-be-generated mold, matching the engineering data information with mold product instances in a database, if matching succeeds, outputting the successfully matched mold product instances, and if matching fails, executing the following steps: extracting a DL line from DL data of the to-be-generated mold; identifying a reference line matched with the DL line from the reference line sample set; obtaining a reference coordinate position of a part associated with the matched reference line in the to-be-generated mold; and calling a virtual model of the matched part associated with the reference line from the database, and placing the virtual model according to the reference coordinate position. The production speed and efficiency of the mold are improved, and the mold design time is further saved.

Embodiments of the present application provide a SQL statement conversion method, device and equipment, relating to the technical field of big data, to improve the reliability of a target SQL statement and thus improve the accuracy of a target calculation result. The method comprises: converting a source SQL statement into an initial target SQL statement, obtaining a source calculation result obtained by calculating a data source using the source SQL statement on a source calculation engine, and obtaining an initial target calculation result obtained by calculating the data source using the initial target SQL statement on a target calculation engine; performing line matching and field matching on the source calculation result and the initial target calculation result to obtain a target matching value and a difference report between the source calculation result and the initial target calculation result, and determining a detection result of the initial target SQL statement based on the target matching value and a first matching threshold; and when the detection result indicates that the initial target SQL statement fails to pass the detection, generating a new target SQL statement based on the difference report, the source SQL statement and the initial target SQL statement.

The present invention proposes a visual-inertial positioning method and device that uses a graph attention network to match points and lines, belonging to the field of positioning technology. The method includes: using a monocular camera in a visual-inertial positioning system to capture the current moment image and extract the corresponding point features and line features, and then using a preset point-line matching network containing a graph attention mechanism to obtain the matching relationship between the point features and line features of the current moment image and the previous moment image; detecting the classification results of the main structural direction and line features of the current moment image, combining the measurement results of the inertial measurement unit, optimizing the position of the monocular camera, and obtaining the current positioning result of the visual-inertial positioning system. The present invention uses a graph attention network to perform point and line feature matching, which can improve the accuracy and robustness of visual-inertial positioning in situations of changing lighting, rapid motion, and lack of texture, and has good engineering application value.

The invention discloses a hidden interactive single-person negotiation virtual simulation method and system, and belongs to the technical field of man-machine interaction simulation, and the simulation method specifically comprises the following steps: I, displaying information description, establishing a corresponding negotiation combination through online matching, and pushing corresponding negotiation data at the same time; iI, filling and submitting an expected negotiation price by each participant, and simulating a negotiation process based on a preset strategy according to the expected negotiation price submitted by the participant; iII, after negotiation is completed, collecting information of each participant in the transaction process and executing corresponding transaction reward issuing operation; the negotiation experiment and questionnaire collection can be carried out by a single person, so that effective negotiation experiment samples are generated, the recovery cost of the negotiation experiment samples is remarkably reduced, and the recovery efficiency of the negotiation experiment samples is improved; the multidimensional property of negotiation experiment data is increased, the quality of the negotiation experiment data is guaranteed, and the standardization degree and the result reliability of the negotiation experiment are improved.

The application provides a parallel multi-line three-dimensional reconstruction system and method based on binocular vision, and is used for solving the technical problems that the existing parallel multi-line three-dimensional reconstruction technology cannot completely remove noise, even misjudges effective information as noise, and the hardware design is relatively complex when solving the line sequence matching problem. The parallel multi-line three-dimensional reconstruction system based on binocular vision projects multiple parallel structure light beams to the surface of a target to be measured through a projection unit, and adopts a left camera and a right camera to respectively shoot the target pattern of the surface of the target to be measured. After the calibration of the whole system, the light plane parameters of the projection unit under the left camera are used for virtual three-dimensional reconstruction, then the center line matching is performed, and the false point removal is performed in combination with the epipolar constraint condition of binocular vision, so that the accuracy of multi-line laser line sequence matching is effectively improved, and then the precision and accuracy of the reconstructed image are improved.