1150 results about "Boundary line" patented technology

The invention relates to the technical field of visual navigation, in particular to a robot navigation method based on vision, which comprises the following steps: acquiring a grayscale image to extract dynamic point locations, screening boundary features to reconstruct a feature set, calculating gradient change to generate candidate guide points, converting coordinates to construct a path track set, and outputting a navigation planning path. According to the method, rapid elimination of static backgrounds is realized through difference threshold selection, dynamic region extraction accuracy is effectively improved, combined screening of boundary line feature point frequency and average feature density is combined, key feature stability is enhanced, and the identification capability of image local structure mutation is enhanced by using a variance change rate of a gradient amplitude sequence. Robustness of path guide point extraction is improved through judgment of an abnormal section, dynamic construction of a path track is realized by means of continuous time integration of image coordinates, path identification precision and spatial positioning continuity are optimized, and continuity, precision and real-time performance of navigation path planning are improved.

The invention discloses a comprehensive identification method for unsafe behaviors of construction site personnel, and particularly relates to the field of construction site image analysis and identification, and the method comprises the steps: constructing a boundary line segment connection diagram through edge detection and Hough transformation, and generating a risk mask region based on a plane projection track and a buffer zone; performing instance segmentation and attitude estimation on the personnel, extracting joint points and calculating a gravity center point, screening key points according to operation types, and constructing a relative vector sequence; extracting an included angle between a main attitude axial direction of continuous frames and a boundary normal, and generating a direction consistency matrix and a camber behavior mark; and finally, identifying a resident section in the risk mask area and outputting a constriction violation approaching behavior label. A space compression judgment mechanism based on image feature recognition is achieved, and it is ensured that edge approaching type unsafe behaviors existing when constructors conduct different types of work are recognized in advance and subjected to risk early warning.

The invention discloses an edge spraying compensation control method based on intelligent visual feedback. The method comprises the following steps: performing space scanning on a to-be-sprayed workpiece to obtain spraying image data, and establishing a space corresponding relation between a spray gun motion coordinate and a workpiece surface coordinate; registering the real-time spraying image by using the corresponding relation, identifying a geometric boundary line, brightness gradient change and a coating adhesion area of the edge of the workpiece, and generating edge feature data; according to the difference between the edge feature data and the target spraying image, the spraying coverage deviation and the boundary overlapping error are calculated, the coating thickness change trend, the optical density change rate and the boundary direction offset are extracted, and the spraying gun posture adjustment amount, the spraying distance correction amount, the spraying pressure correction amount and the path speed correction amount are generated; the angle, the spraying distance, the pressure and the movement speed of the spray gun are dynamically adjusted according to the parameters; according to the method, real-time visual feedback and self-adaptive compensation control in the spraying process are achieved, and the uniformity and consistency of the coating on the edge of the workpiece are effectively improved.

The invention discloses an AI-based staple map automatic generation method and system, and particularly relates to the staple map generation technology field, a radio frequency transmit-receive device and an unmanned aerial vehicle are used to collect boundary line inflection point coordinates of a staple and intersection point coordinates of the staple and an adjacent staple boundary line, and the inflection point coordinates are connected in sequence to obtain a staple boundary line; then, a land parcel boundary line and a land parcel area are corrected and judged, a land parcel area correction link is directly entered if a land parcel boundary line correction task is not triggered, a land parcel boundary point correction link is entered if a land parcel area correction task is not triggered, and a point which can better represent a land parcel trend is screened out from multiple inflection points to serve as a boundary point; according to the method, the problem that the boundary point processing workload is large is solved, meanwhile, the land parcel area is controlled to be consistent with the actual land parcel area, the land parcel boundary line is controlled to be consistent with the actual land parcel boundary line, the four boundaries of the land parcel are analyzed, and the accuracy of a subsequent land parcel map is guaranteed to a certain degree.

The invention provides a basement scene automatic vector map construction method and system, and the method comprises the steps: carrying out the IPM conversion of a plurality of ground-oriented top view images, carrying out the splicing, obtaining a bird's-eye view, carrying out the semantic segmentation of the bird's-eye view, extracting semantic elements, and converting the semantic elements into point cloud data; providing IMU and vehicle wheel speed data, combining with the point cloud data to construct a local map, and correcting to obtain a semantic point cloud map; preprocessing the semantic point cloud map, and clustering the point cloud data in the semantic point cloud map according to the similarity semantic point cloud to obtain clustered point cloud data; and based on the semantic point cloud map, combining the clustering point cloud data, constructing boundaries on two sides of a road, generating a lane center line and a boundary line, obtaining a vector map, embedding parking space information, and performing curve optimization on the center line and the boundary line, so as to obtain a basement scene automatic vector map. Vector representation of the complex environment of the underground garage is achieved, and high-quality basic map data support is provided for applications such as vehicle navigation and path planning.

The invention discloses an expressway small target detection method and related equipment, and the method comprises the steps: obtaining an input image, and carrying out the semantic segmentation of the input image, so as to extract a road region; after a binary mask of a road is obtained through semantic segmentation, a boundary line of the road is detected, and a center point coordinate of a far-end reference line is determined; an ROI is generated according to the center point and used for subsequent small target detection; performing local detection on the ROI to obtain a local detection result; performing global detection on the input image to obtain a global detection result; and fusing the local detection result and the global detection result by adopting a strategy based on IoU matching and confidence weighted fusion to obtain a final detection result. The invention provides a secondary detection algorithm based on semantic guidance, high-precision detection of a small target is realized through modes of semantic segmentation, geometric modeling and adaptive ROI selection, and the detection capability of a far-end small target is improved.

The invention discloses an image edge cutting method and device based on boundary detection, equipment and a storage medium, and relates to the technical field of image boundary detection, and the method comprises the steps: carrying out the preprocessing of an original image, and obtaining a target image; determining a scene type of the target image; based on an edge detection strategy corresponding to the scene type, performing edge detection on the target image to obtain an edge image; performing straight line detection on the edge image to obtain a plurality of candidate straight line segments; and based on a boundary positioning rule, determining a target boundary line segment from the plurality of candidate straight line segments, so as to carry out edge cutting on the original image according to the target boundary line segment. According to the invention, a more reliable image edge cutting effect can be generated.

The embodiment of the invention provides a video coding method and device and a video decoding method and device, and relates to the technical field of video coding and decoding. Comprises: obtaining a target image block; segmenting the target image block into a first sub-image block and a second sub-image block based on the texture edge in the target image block; obtaining a first prediction block of the first sub-image block and a second prediction block of the second sub-image block; combining the first prediction block and the second prediction block to obtain an initial prediction block, and obtaining a boundary line of the first prediction block and the second prediction block in the initial prediction block; determining the filtering intensity of each pixel point in the initial prediction block according to the minimum distance from the pixel point to the boundary line; filtering each pixel point in the initial prediction block based on the filtering intensity of each pixel point to obtain a fused prediction block; calculating the residual error of the target image block and the fusion prediction block to obtain residual error data; and generating coded data of the target image block according to the residual data. Some embodiments of the invention are used for solving the problem that boundary pixels of a synthesized prediction block are not smooth.

A motion control method for an adaptive self-reconfigurable pipeline robot based on environmental perception includes: acquiring internal images of the pipeline for scene recognition, segmenting planar surfaces and curved surfaces in the images according to recognition results, and extracting boundary lines of the pipeline; calculating a straight-pipe width, a bent-pipe curvature, a slope angle, and a step height to analyze passability of the robot; designing a path planner and a swing-arm planner to generate a reference trajectory and a swing-arm angle sequence of the robot, performing smoothing, and inputting the reference trajectory and the swing-arm angle sequence into a model predictive control (MPC) motion controller; estimating a position and state of the robot through an Error State Kalman Filter (ESKF) algorithm, and inputting estimation results and collision warning signals into the MPC motion controller; and finally outputting a signal for control of a motor and a swing-arm motor.

The invention discloses a topological optimization design-oriented additive manufacturing path pretreatment method, system and equipment and a medium, and the method comprises the following steps: in a topological optimization process, carrying out the synchronous optimization of unit density and unit angle, and outputting an optimization result which comprises an optimal topological structure diagram and the density and angle of each discrete unit; processing the obtained discrete angle result by adopting a K-means clustering algorithm, dividing a plurality of regions, and obtaining a boundary of each region; for a zigzag boundary caused by grid division in the optimal topological grid chart, performing smoothing processing on the boundary by adopting an NURBS curved surface fitting technology; and combining the smoothed boundary line with the region boundary obtained by K-means clustering to generate a boundary line of each region, and filling each region with a straight line of a corresponding angle to generate a corresponding Gcode. According to the method, the consistency of the optimization result and the additive manufacturing process is realized.

The invention discloses a farmland furrow three-dimensional point cloud data correction method and system based on a laser radar, and relates to the technical field of three-dimensional image processing based on the laser radar, in particular to a three-dimensional image geometric correction technology. The problems that original point cloud data directly obtained under the dynamic operation condition of an existing agricultural machine has geometric distortion, and the shape of a furrow cannot be truly reflected are solved; meanwhile, the problems that furrow quality evaluation seriously depends on low-efficiency manual means, the adaptability of an existing automatic technical scheme to an unstructured field environment is insufficient, and robust, real-time and high-precision perception of a real three-dimensional shape of a furrow cannot be achieved are solved. According to the method, dynamic tilt correction is carried out through real-time acquisition of point cloud and agricultural machine attitude information, boundary feature points are extracted, boundary lines are fitted, and a three-dimensional point cloud set of a single furrow is reconstructed by fusing a self-adaptive clustering algorithm of spatial prior. The method is suitable for the fields of farmland tillage and soil preparation quality detection, precision agricultural management, agricultural machinery intelligent operation and the like under the dynamic operation condition of agricultural machinery.

The invention discloses a water area and resource quantity monitoring and predicting method and system based on a remote sensing technology, and belongs to the technical field of water resource monitoring. The method comprises the following steps: determining a water area range according to historical data of a research area and an on-site survey condition, and determining a research area range; the method comprises the following steps: respectively acquiring ground data and water depth and water surface elevation data by using an unmanned aerial vehicle and an unmanned ship, respectively processing to obtain a land DEM and a water area DEM, and fusing to form an all-terrain DEM; downloading satellite image data of the research area, and performing geographical registration on the satellite image data; in the geographically registered satellite image data, describing the boundary of the water area through visual interpretation; superposing the water area boundary to an all-terrain DEM, obtaining the elevation of each point on the water area boundary line, calculating the average elevation of the water area boundary, and calculating the water area and the water resource amount to obtain the historical water area and the water resource amount; and on the basis of the obtained historical water area and water resource quantity, utilizing an ARIMA model to predict future water resource quantity and water area.

The invention relates to the technical field of data management, in particular to a real-scene three-dimensional data management system based on cloud computing, which comprises a model verification module, a hierarchy generation module, a label collection module, an authority configuration module and a request sorting module. According to the method, through connectivity calculation and direction cosine similarity analysis based on boundary line segments, problem points with closed defects or direction mutation in component boundaries can be accurately recognized, a consistency index set is constructed on the basis, the accuracy of model integrity judgment is improved, and the accuracy of model integrity judgment is improved in combination with patch structure parameters and a weighted hierarchical evaluation method. According to the method, the regional detail hierarchy level can be accurately delimited, spatial pertinence differential expression of detail hierarchy configuration is realized, priority calculation is performed according to the number of access request times and a function task matching result, the component calling efficiency and the rendering response performance are improved, and the reasonability of service load optimization and cloud resource scheduling under the multi-terminal access condition is ensured.

The invention provides a dual-polarized SAR image building height obtaining method and device. The method comprises the steps that a dual-polarized SAR image containing a building is obtained through aerial remote sensing; determining the position of a near-end bright line of the building image according to the dual-polarized SAR image as a near-end horizontal first position of the building along the ground; determining a far-end horizontal second position of a boundary line of a shadow area of the building image according to the SAR image; and calculating the building height according to the flight height, the lower visual angle, the near-end horizontal first position and the far-end horizontal second position. According to the invention, the problems of complex calculation and poor precision in the prior art for obtaining the building height through a synthetic aperture radar wide area monitoring and measuring technology are solved.

The invention relates to the technical field of remote sensing image processing, in particular to a land consolidation boundary line division method and system based on machine vision. The method comprises the following steps: obtaining a plurality of superpixel blocks of a satellite remote sensing image; according to the elevation information distribution of different pixel points in each super-pixel block in the digital elevation model, obtaining the terrain height change degree of each super-pixel block; according to the elevation information difference between each pixel point in each super-pixel block and other pixel points in the corresponding neighborhood range in the digital elevation model and the gradient distribution of the corresponding pixel points in different directions in the digital elevation model, obtaining the overall water flow direction value of each super-pixel block; further obtaining the merging possibility between different super-pixel blocks; and obtaining a superpixel optimal block, and dividing the arrangement boundary line of the to-be-divided land region. According to the method, the superpixel segmentation process of the land region to be divided is accurately obtained, so that the accuracy of boundary line division arrangement is improved.

The invention relates to the technical field of road detection, in particular to an intelligent road disease detection method and system based on a three-dimensional ground penetrating radar, and the method comprises the steps: obtaining and processing three-dimensional radar data, and obtaining a horizontal section image in the depth direction and vertical section images of a plurality of channels in the measuring line direction; determining the boundary position of the underground structure layer; selecting a horizontal slice image with a corresponding depth according to the boundary position, and inputting the horizontal slice image into a first disease detection model to obtain a preliminary disease candidate area; mapping the preliminary candidate region to a vertical profile image, intercepting a local vertical profile image of each channel, and inputting the local vertical profile image into a second disease detection model to obtain disease category information; fusion decision is carried out based on the transverse position of the candidate area and the disease category information of each channel, a final disease type is determined and is associated to the candidate area, consistency of disease positioning and type judgment is realized through cooperative utilization of the horizontal section image and the multi-channel vertical section image, and the accuracy and stability of detection are improved.

A method of generating a cropped view of a computer-generated three-dimensional (3D) computer-aided design (CAD) model includes displaying the model on a computer display, receiving an indication that an element from the displayed model has been selected as a target geometry, creating a boundary shape on the selected target geometry, and generating a cropped view of the model. The method includes forming a boundary shape on a model, extending a boundary line of the boundary shape in a normal direction through the model to establish a boundary, partitioning the model at the boundary to divide a first portion of the model located within the boundary and a second portion of the model located outside the boundary, and visually displaying the first portion of the model located within the boundary based on the partitioned model. And generating a visual description of the clipping representation of the model by hiding or displaying a second portion of the model outside the boundary in a transparent state with only edges.

The invention discloses a stratigraphic water content layering inversion method based on a shallow seismic full waveform, and relates to the technical field of geophysical exploration data processing, and the method comprises the following steps: 1, under the same survey line condition, synchronously obtaining a seismic wave full waveform, complex impedance and an induced polarization frequency spectrum; 2, constructing a layered initial model containing a layer boundary line and an in-layer water content initial value; based on the layered initial model, executing dual-domain quantile alignment interface keeping iteration until convergence, and obtaining a final layer boundary line and an in-layer water content field; the double-domain quantile alignment interface maintaining iteration comprises the following steps: updating an in-layer moisture content field and a layer boundary line according to a seismic wave full waveform; and performing total variation regularization processing on the updated in-layer water content field to maintain the transition characteristic of the layer boundary line. According to the method, an efficient and reliable solution with actual guidance value is provided for mineral resource exploration, geological structure detection, groundwater survey and engineering geology evaluation.

A parking assistance device includes: a candidate line detection unit that detects a candidate line that is a candidate for a boundary line in image data obtained by imaging a periphery of a vehicle; and a boundary line recognition unit that executes a determination process to determine whether or not a difference in luminance between areas on an outside of the candidate line in a width direction in the image data, the areas being on both sides of the candidate line, is equal to or larger than a luminance threshold, does not recognize the candidate line as a boundary line when determining that the difference in luminance is equal to or larger than the luminance threshold, and recognizes the candidate line as a boundary line when determining that the difference in luminance is less than the luminance threshold.

The invention provides a geological envelope body automatic generation method. The method comprises the following steps: defining a target work area; performing sparse horizon picking of a top interface and a bottom interface on the geological envelope in the defined target work area to determine a top interface horizon, a bottom interface horizon and corresponding top interface and bottom interface data; based on the grid positions corresponding to all the pickup point positions of the top interface horizon and the bottom interface horizon, according to the range of the top interface data and the range of the bottom interface data, boundary lines of the geological envelope body at the top interface and the bottom interface in the target work area are determined; determining horizon depth values in all grid points of the top interface and the bottom interface; constructing a top interface boundary constraint and a bottom interface boundary constraint according to the horizon depth value and based on boundary lines of the geological envelope body at the top interface and the bottom interface to determine an intersection point between the top interface and the bottom interface of the envelope body so as to optimize the boundary lines of the geological envelope body at the top interface and the bottom interface; and generating a three-dimensional visualization model of the geological envelope based on the optimized boundary line.

The invention discloses a curtain wall refined model generation method and system, and relates to the technical field of building model generation, and the method comprises the steps: collecting multi-source heterogeneous data of a target building, generating a curtain wall boundary line according to a building contour line, carrying out the segmentation parameter bidirectional dynamic adjustment and adaptive segmentation spline interpolation of the curtain wall boundary line, and generating a basic curtain wall basic surface; the method comprises the following steps: constructing a basic three-dimensional geometric model, generating an initial lattice surface, constructing a thermal response model by combining the basic three-dimensional geometric model, material characteristic data and thermal response data, obtaining thermal characteristic data of each region, optimizing the lattice surface of the basic three-dimensional geometric model according to the thermal characteristic data, and generating a three-dimensional geometric model. Performing automatic grouping and panel generation operation on the three-dimensional geometric model; and performing multi-modal feature fusion on the three-dimensional geometric model, the thermal feature data and the material feature data to generate a three-dimensional curtain wall refined model, and performing multi-physical field coupling verification on the three-dimensional curtain wall refined model, so that the curtain wall model generation efficiency and precision are remarkably improved.

Provided is a parking assistance device including a captured image acquisition unit imaging a road surface around a vehicle and an end detector detecting an end of a ground object on the road surface within a detection area in the captured image. A position calculator calculates position information indicating a positional relationship of the end of the ground object. A boundary line determiner determines whether or not a ground object having the end is a boundary line that defines a parking slot for the vehicle. A removal unit determines whether or not a rear end of a ground object determined as the boundary line by the boundary line determination unit is included in a removal range, determines that a ground object determined as the boundary line is not the boundary line when the rear end is included in the removal range, and excludes the ground object from boundary lines.

In various examples, one or more deep neural networks (DNNs) are executed to regress on control points of a curve, and the control points may be used to perform a curve fitting operation—e.g., Bezier curve fitting—to identify landmark locations and geometries in an environment. The outputs of the DNN(s) may thus indicate the two-dimensional (2D) image-space and / or three-dimensional (3D) world-space control point locations, and post-processing techniques—such as clustering and temporal smoothing—may be executed to determine landmark locations and poses with precision and in real-time. As a result, reconstructed curves corresponding to the landmarks—e.g., lane line, road boundary line, crosswalk, pole, text, etc.—may be used by a vehicle to perform one or more operations for navigating an environment.

The invention discloses a monitoring method system, processing equipment and storage medium for the inclination of a transmission tower. The method comprises the following steps: obtaining a reference image in the initial state of the tower, and obtaining initial angle information based on the reference image; obtaining a monitoring image, detecting a straight boundary line in the monitoring image, and eliminating a non-straight boundary line; obtaining pixel coordinates at both ends of the straight boundary line to obtain current position information of the conductor; and based on the current position information, calling an inverse trigonometric function to obtain current angle information of the conductor; calculating the difference between the current angle information of the conductor and the initial angle information of the conductor to obtain the inclination angle of the conductor; based on the conductor inclination angle converted into the tower inclination angle, judging whether the tower inclination angles of adjacent towers all exceed a threshold value, and if so, forming an early warning prompt information.

The invention discloses a pole piece detection method and system. The method comprises the following steps: acquiring a to-be-detected image acquired from a pole piece; according to preset edge grabbing area information, at least one edge grabbing area is determined in the to-be-detected image, and the preset edge grabbing area information comprises position information and / or size information of the edge grabbing area; boundary detection is carried out on all the edge grabbing areas, first boundary lines in all the edge grabbing areas are obtained, and the first boundary lines are used for dividing different partitions arranged in the width direction of the pole pieces; and determining width information related to the pole piece by utilizing the first boundary line in each edge grabbing area. In this way, the pole piece can be automatically detected.

To provide a three-dimensional geological model correction device, method, and program that can quickly and effectively correct a three-dimensional geological model using strata information obtained from face observation.SOLUTION: A three-dimensional geological model correction device comprises: three-dimensional geological model generation means 30 for generating a three-dimensional geological model of a construction target including three-dimensional coordinates and three-dimensional stratum boundary data based on previously acquired stratum information of the construction target; face image acquisition means 21 for acquiring a face image of an already excavated area; face coordinate acquisition means 22 for acquiring three-dimensional coordinates of the face image; two-dimensional stratum boundary data extraction means 23 for extracting two-dimensional stratum boundary data from the face image; identical boundary extraction means 40 for extracting identical boundaries based on proximity of three-dimensional coordinates of boundary lines constituting the three-dimensional stratum boundary data and the boundary lines constituting the two-dimensional stratum boundary data; and three-dimensional stratum boundary data correction means 50 for correcting the three-dimensional stratum boundary data based on the two-dimensional stratum boundary data related to the extracted identical boundaries.SELECTED DRAWING: Figure 1

1. Name of the design product: Body main part of the oral irrigator. 2. Use of the design product: The oral irrigator is used for cleaning the oral cavity, and the body of the oral irrigator is for the oral irrigator. 3. Design key points of the design product: Lies in the shape. 4. Picture or photograph that best shows the design key points: Exploded view. 5. The solid line indicates the protected part, while the dashed line indicates the unprotected part. The dotted line in each view indicates the boundary line between the protected part and the unprotected part.

The invention discloses an injection mold for multicolor injection molding and a production process thereof, a set of machine vision on-line inspection system with pattern detection and surface flatness detection is integrated, pattern detection is performed on a specific part of a formed part A through optical screen detection, horizontal and vertical coordinates of an actual contour are compared with a preset range, and the pattern of the specific part A is detected. Then, the surface flatness of the part is objectively evaluated by analyzing reflected light distribution on the surface of the part, whether a qualified matrix is provided for second injection or not is judged, and key quality attribute judgment on the intermediate product A before second injection is achieved; according to the method, the waste of raw materials, energy and working hours caused by the fact that known waste products continue to be subjected to second injection is effectively prevented, meanwhile, the position precision and visual definition of final multi-color products at the joints of different colors are guaranteed, the defects of boundary line distortion, blooming and the like are overcome, and the production yield and the resource utilization rate are remarkably increased.

The invention discloses a dynamic simulation system for cloning a plant competition relationship under an invasive habitat, and particularly relates to the technical field of environmental protection, and the system comprises the following modules: a habitat space occupation definition module, a neighborhood expansion cost accounting module, an interspecific crisscross zone identification module, a crisscross zone displacement dynamic quantification module, and a community competition steady state determination module. According to the method, space occupation intensity is established based on overground and underground biomass, weighted integration is carried out on a stolon expansion path in combination with soil compactness, physical rejection cost is systematically quantified, the space is used as a competitive resource, growth inhibition of cloned plants under the situation that resources are sufficient but the space is limited is simulated, and the method is suitable for large-scale popularization and application. By calculating the average propulsion speed and the disturbance variance of the boundary line, the system can accurately capture the stagnation, propulsion or local stiffness state of the invasion frontal surface, and provides a judgment basis which is more dynamic for the competition end and is based on the space frontier.

1. Name of this design product: Body of the adapter bracket. 2. Purpose of this design: The overall product of this design is used to connect a massager and to fix external massager accessories as an adapter bracket; the protected part of the design serves as the main body of the massager adapter bracket. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D rendering 1. 5. Other situations requiring explanation: This design patent seeks protection for a portion of the product's appearance. The solid lines indicate the portion for which protection is sought, while the dashed lines indicate portions that do not constitute the part of the design for which protection is sought. The dashed lines shown in each view represent the boundary lines between the parts of the product that need to be protected and other parts.