39 results about "Boundary location" patented technology

A method can include rendering a graphical user interface to a display; receiving data; responsive to determining boundary locations for formations in the subsurface environment using the data, automatically rendering the boundary locations in the graphical user interface; responsive to determining extended boundary locations in the subsurface environment for a region beyond an end of the borehole using the boundary locations, automatically rendering the extended boundary locations in the graphical user interface; responsive to determining a target location in the region using the extended boundary locations, automatically rendering the target location in the graphical user interface; and, responsive to generation of a trajectory from an end of the borehole location to the target location, automatically rendering the trajectory in the graphical user interface.

The invention discloses a magnetic target boundary recognition method and system based on a magnetic gradient tensor, and relates to the technical field of geophysical exploration and industrial nondestructive testing, and the method comprises the following steps: collecting spatial magnetic gradient tensor data through a magnetic gradient sensor array, and obtaining nine components of the magnetic gradient tensor; calculating the vertical guide modulus of the vertical component of the magnetic gradient tensor; calculating a Z-direction analysis signal ASAz and a vertical guide thereof; a boundary recognition amount is generated by a ratio operation, and a boundary position of the magnetic target is determined based on a maximum value position of the boundary recognition amount. According to the method, a vertical component derivative and analytic signal derivative dual-derivative coupling mechanism is combined for the first time, the limitation that a traditional method depends on a single parameter is overcome, the vertical component derivative accurately captures the change rate of the boundary in the vertical direction, and the analytic signal derivative effectively suppresses background noise.

The invention relates to the field of remote sensing image semantic segmentation of computer vision, in particular to a post-disaster road segmentation method and device based on edge driving and layered global reconstruction. Comprising the following steps: acquiring a remote sensing image of a post-disaster scene, and carrying out feature encoding and decoding on the remote sensing image through an encoder-decoder structure; in the encoding stage, edge features of an image are extracted, edge prior information representing the boundary position and strength of a target is generated, and weighting constraint is carried out on shallow encoding features according to the edge prior information, so that edge constraint features are obtained. And carrying out multi-scale extraction and fusion on the features to form fusion features containing different spatial scale information. In the decoding stage, global semantic description information is generated based on the fusion features, and hierarchical guide reconstruction is performed on the fusion features by using the information to obtain reconstructed features. And generating a segmentation result of the post-disaster road according to the reconstruction features and outputting the segmentation result. The pixel-level segmentation effect of clear boundary, continuous structure and high robustness of the road area in a complex post-disaster scene is realized.

A method can include receiving data acquired via a drillstring in a borehole in a subsurface environment; determining boundary locations for formations in the subsurface environment using at least a portion of the data, where an end of the borehole is disposed in one of the formations; determining extended boundary locations in the subsurface environment for a region beyond the end of the borehole using the boundary locations; determining a target location in the region; generating a trajectory from an end of the borehole location to the target location; and executing a directional drilling system to control directional drilling of the drillstring that extends the borehole beyond the end of the borehole towards the target location.

The invention relates to the technical field of path optimization, in particular to an emergency shelter global planning method based on multi-disaster risk coupling, which comprises the following steps: acquiring disaster source and DEM grid coordinates and calculating distance, selecting grids according to influence radius, comparing and connecting grid elevation identification peak points, and determining a propagation restriction area by combining the disaster source and a water diversion line. And matching the positions of the shelters and sorting with the road network. According to the method, differential disaster diffusion ranges are identified in a unified space framework by introducing spatial positions of various disaster sources and combining a grid distance relation, terrain peak points are identified by combining grid elevation differences, correlation analysis is performed by combining a spatial adjacency relation, and the disaster diffusion ranges are identified according to a spatial cross relation between the disaster source positions and water diversion line nodes. A potential disaster diffusion channel is avoided in the shelter screening process, space matching is carried out by combining the shelter boundary position and the road network, and the shelter space layout stability under the terrain and the multi-disaster scene is enhanced according to the road access direction.

The embodiment of the invention provides a railway limit intrusion detection method and related equipment, and belongs to the technical field of railway detection. The method comprises the following steps: acquiring a track detection result of track detection and a railway line image; carrying out time difference matching according to the rail inspection result and the railway line image to obtain an image extrinsic parameter; performing image correction processing on the railway line image to obtain a distorted image; performing target detection according to the distorted image to obtain target information of the to-be-detected railway equipment; based on two different feature extraction algorithms, performing feature matching on the distorted image according to the target information to obtain a target feature set; performing triangulation on the target feature sets of the images along the different railways according to the image extrinsic parameters to obtain boundary position coordinates of the railway equipment to be measured in a track coordinate system; and according to the boundary position coordinates and the track detection result, carrying out intrusion detection to obtain an intrusion result. According to the invention, automatic detection can be realized, the accuracy and operation efficiency of limit invasion detection are improved, and data support is provided for track adjustment.

A method includes: locating a first slot boundary around a first product unit, in an image of an inventory structure in a store, identifies as a first product type based on features detected in the image; extracting a first product identifier, from a first slot tag, detected in the image; based on correspondence between the first product identifier and product type, associating the first slot boundary with the first slot tag and extracting a first relative tag-boundary position of the first slot boundary and slot tag from the image; extracting a second product identifier from a second slot tag detected in the image; predicting a second slot boundary, assigned to a second product type corresponding to the second product identifier, in the image based on a second position of the second tag in the image and the first relative tag-boundary position.

The invention provides an exception handling method and device for inspection equipment, a storage medium and the inspection equipment. The method comprises the following steps: under the condition that a sensor of inspection equipment detects an obstacle, acquiring the position of the inspection equipment and a first distance between the inspection equipment and the obstacle; determining whether the obstacle is at the boundary position of the conductor based on historical boundary information of the conductor stored in the inspection equipment, the position of the inspection equipment and the first distance; if the obstacle is at the non-lead boundary position, controlling the inspection equipment to brake and take a picture to obtain a first to-be-analyzed image; and based on the identification result of the first to-be-analyzed image, controlling the inspection equipment to continue advancing or retreating. According to the method, the reliability and the safety of task execution of the inspection equipment are guaranteed.

The application provides a multi-image array splicing method for large cement prefabricated components, and the splicing method comprises the following steps: step one: collecting original images of the cement prefabricated components, dividing the original images into regions, and adjusting the gray scale of each region to obtain preprocessed images; step two: searching for feature points between every two adjacent images in each row in the images, identifying and extracting key feature points in the images through a SIFT algorithm, and then matching the key feature points of the adjacent images through a KNN algorithm to determine the relative position relationship between the key feature points; step three: searching for feature points between every two adjacent images in each column and matching the feature points; and step four: calculating the boundary positions of each image in the splicing area, and then splicing. The application realizes high-precision splicing of the cement prefabricated components, can effectively improve the shape detection precision of subsequent cement components, and improves the product detection quality.

The invention discloses a boundary gateway selection method and device, electronic equipment and a storage medium, and the method comprises the steps: taking satellites which have inter-domain links and are located at boundary positions in satellite sub-domains as candidate boundary gateways, and determining a maximum traversal number according to the number of the candidate boundary gateways; sequentially and progressively increasing the traversal number to the maximum traversal number, and determining a candidate boundary gateway set containing candidate gateways with the number being the current traversal number; for at least one candidate boundary gateway set, determining resource overhead corresponding to the candidate boundary gateway set according to the hop count between other satellites except for the candidate boundary gateway in the satellite subdomain and the candidate boundary gateway in the candidate boundary gateway set; and finally, determining the candidate boundary gateway in the candidate boundary gateway set with the minimum resource overhead as a target boundary gateway. On the basis, a border gateway selection scheme in the satellite network based on resource overhead is realized.

In various examples, live perception from sensors of a vehicle can be utilized to detect and classify intersection contest areas in a vehicle’s environment in real-time or near real-time. For example, a deep neural network (DNN) can be trained to compute outputs (e.g., signed distance functions) that can correspond to boundary locations that demarcate intersection contest areas. The signed distance functions can be decoded and / or post-processed to determine instance segmentation masks that represent locations and classifications of intersection zones or areas. Locations of intersection zones or areas can be generated in image space and converted to world space coordinates to assist an autonomous or semi-autonomous vehicle in navigating an intersection according to road rules, traffic priority considerations, etc.

A method can include rendering a graphical user interface to a display; receiving data; responsive to determining boundary locations for formations in the subsurface environment using the data, automatically rendering the boundary locations in the graphical user interface; responsive to determining extended boundary locations in the subsurface environment for a region beyond an end of the borehole using the boundary locations, automatically rendering the extended boundary locations in the graphical user interface; responsive to determining a target location in the region using the extended boundary locations, automatically rendering the target location in the graphical user interface; and, responsive to generation of a trajectory from an end of the borehole location to the target location, automatically rendering the trajectory in the graphical user interface.

The application provides a modeling method and device of a geological model, which can be applied to the fields of geological engineering and automatic modeling technology. The method comprises the following steps: initializing a target region based on basic geological data of the target region to obtain basic geological attribute data of the target region; remapping a plurality of initial geological units to obtain a plurality of corrected geological units; dividing the plurality of corrected geological units into a plurality of block partitions according to boundary position information in the basic geological attribute data; fitting physical property parameters of the plurality of block partitions based on the physical property parameters corresponding to the boundary position information of the plurality of block partitions to obtain simulation parameters of the plurality of block partitions; and performing visual processing on the plurality of block partitions and the simulation parameters to obtain a visual result of a geological model of the target region.

This invention relates to a method for optimizing the printing height of irregularly shaped media based on multi-point height measurement and edge compensation. The method involves obtaining the boundary position of the irregularly shaped media on the printing platform; setting multiple height measurement points located outside, at, and inside the boundary along the direction traversing the boundary position; and measuring the height in the order of outside, boundary, and inside height measurement points to obtain the outside height value, boundary height value, and inside height value; determining whether the boundary height value is a valid height measurement value based on the relationship between the outside, boundary, and inside height values; determining the edge compensation basis based on the valid height measurement value; and determining the printhead gap height corresponding to the printing area of ​​the irregularly shaped media based on the edge compensation basis. This invention can simultaneously reflect the height changes of the platform area, the edge transition area, and the media body area, providing a more complete and reliable data foundation for printhead gap setting.

A system for steering a drilling assembly includes a processor configured to receive a material property profile of a subterranean region, the material property profile including one or more layers. The material property profile is generated from at least one material property data value measured within a depth interval of a borehole. The processor is configured to define a first reservoir boundary location associated with the depth interval from at least one first material property value associated with a first layer and being less than a predefined threshold material property value and at least one second material property value associated with a second layer, the second material property value being greater than the predefined threshold material property value. The processor is configured to determine a reservoir thickness, and define an optimum borehole location associated with the depth interval based on the reservoir thickness or a second reservoir boundary location.

The present application relates to the technical field of topographic mapping, and particularly relates to a geological area mapping precision optimization method, which comprises the following steps: obtaining initial mapping data of a target geological area and extracting candidate boundary segments to form a candidate boundary belt; generating a conflict belt priority sequence according to a cross-scale stability index of the candidate boundary belt, a difference in neighborhood feature distribution on both sides and a misjudgment influence value; performing normal penetration re-measurement and tangential tracking re-measurement according to the conflict belt priority sequence, determining a boundary position and updating the candidate boundary belt; and performing constraint reconstruction according to the updated candidate boundary belt and outputting a mapping result. The present application can improve the accuracy of key boundary identification, enhance the re-measurement pertinence and maintain the real boundary in the reconstruction result.

The application discloses a camera intrinsic parameter calibration method and device and electronic equipment, and the method comprises the steps of collecting an image in a current scene, identifying the boundary pixel points of the linear structure with distortion in the collected image, and obtaining the boundary position information of the linear structure; sampling the boundary of the linear structure in the horizontal direction and the vertical direction according to the boundary position information, and fitting the sampling points to obtain the mean position of the boundary as the distortion center in the horizontal direction and the vertical direction; constructing an adaptive function based on the sum of squares of errors, and calculating the global optimal solution of the distortion coefficient according to the adaptive function; extracting parallel line identification information in the current scene, and obtaining the focal length closed solution based on the relative position relationship of the parallel lines. According to the above technical scheme, the calibration process is simplified, the camera intrinsic parameter calibration is completed only by relying on the linear features in the road scene, the camera can be adaptively calibrated in a dynamic scene, and the accuracy and stability of the calibration are effectively improved.

This invention discloses a spatiotemporal fusion method for multi-source remote sensing images based on edge alignment, belonging to the field of remote sensing image processing technology. The method includes the following steps: establishing a boundary-preserving probability map for each boundary location; acquiring the current low-resolution image and recording the layers where differences occur; determining the boundaries that need updating based on the comparison results; calculating the offset adjustment amount; generating an updated boundary alignment offset field; calculating the difference between the predicted values ​​at the filled boundary and the actual observed values ​​outside the cloud area, and checking the consistency of the filling direction; adjusting the filling direction weights at each location along the path; generating a complete cloud-free high-resolution fused image, and saving the updated boundary alignment offset field and probability map. This invention solves the problem of static alignment failure caused by dynamic changes in ground object edges in existing technologies by establishing a boundary-preserving probability map and combining multi-scale structural comparison to dynamically identify the boundaries that need updating.

The embodiment of the invention relates to the field of semiconductors, and discloses a single-hole instrument boundary determination method, a control method, a controller and a minimally invasive robotic.The boundary determination method comprises the steps that a kinematic model of a single-hole instrument is established and used for describing the mapping relation between all joint angles and the tail end pose; based on the kinematic model, obtaining reachable spatial data of the tail end of the single-hole instrument under different pose parameters; solving and screening the reachable space data, and determining a tail end position set meeting the joint limiting constraint; performing spatial feature analysis on the tail end position set, and extracting boundary feature parameters under different poses; a mathematical model of boundary change is established according to the boundary characteristic parameters and is used for predicting the dynamic boundary position of the tail end of the instrument under different poses, so that the joint movement boundary can be automatically adjusted according to the pose change, and the pose controllability and the movement safety of the single-hole instrument are improved.

A method can include receiving data acquired via a drillstring in a borehole in a subsurface environment; determining boundary locations for formations in the subsurface environment using at least a portion of the data, where an end of the borehole is disposed in one of the formations; determining extended boundary locations in the subsurface environment for a region beyond the end of the borehole using the boundary locations; determining a target location in the region; generating a trajectory from an end of the borehole location to the target location; and executing a directional drilling system to control directional drilling of the drillstring that extends the borehole beyond the end of the borehole towards the target location.

The invention relates to a robot cleaning effect detection method and device, equipment and a storage medium, and the method comprises the steps: determining a cleaned sub-region at a current moment, and obtaining the first boundary position information of the cleaned sub-region; obtaining an original image at the current moment, and converting the original image into a first image; according to the first boundary position information, intercepting a target sub-image corresponding to the cleaned sub-region on the first image; and detecting the target subimage to obtain a cleaning classification result corresponding to the target subimage. According to the invention, the target sub-image corresponding to the cleaned sub-region is intercepted from the first image, and only the cleaning effect of the target sub-image is detected, so that the number of to-be-detected features is reduced, the computing power demand is reduced, and low-delay and high-efficiency real-time data processing can be realized on a universal central processing unit on the premise of ensuring the detection precision.

A system for visualizing a virtual boundary in a scene that includes a non-virtual marine vessel is provided, the system comprising: a display device; and one or more hardware processors configured to: receive information indicative of a boundary position at which to present a virtual boundary within an extended reality (XR) scene with respect to the marine vessel; present, using the display device, the XR scene including the virtual boundary based on the boundary position, wherein a size and view of the virtual boundary in the XR scene is based on a viewing perspective at which the XR scene is viewed; and update the XR scene as the marine vessel moves.

A method can include rendering a graphical user interface to a display; receiving data; responsive to determining boundary locations for formations in the subsurface environment using the data, automatically rendering the boundary locations in the graphical user interface; responsive to determining extended boundary locations in the subsurface environment for a region beyond an end of the borehole using the boundary locations, automatically rendering the extended boundary locations in the graphical user interface; responsive to determining a target location in the region using the extended boundary locations, automatically rendering the target location in the graphical user interface; and, responsive to generation of a trajectory from an end of the borehole location to the target location, automatically rendering the trajectory in the graphical user interface.

The application discloses a vehicle drivable area segmentation method and related device. The vehicle drivable area segmentation method comprises: segmenting current frame visual data collected by a vehicle to obtain boundary positions of drivable areas and non-drivable areas in the current frame visual data; obtaining current signed distance of each data point in the current frame visual data from the boundary positions to constitute a current frame signed distance field, the numerical sign of the current signed distance corresponding to the drivable data point being opposite to that of the current signed distance corresponding to the non-drivable data point; fusing the current frame signed distance field with a previous fusion signed distance field to obtain a current fusion signed distance field, the previous fusion signed distance field being obtained based on at least one previous frame visual data collected by the vehicle; and segmenting the current fusion signed distance field to obtain a current fusion drivable area. The above scheme can improve the drivable area accuracy, the adaptability to dynamic obstacles and the noise sensitivity.

The invention provides a map construction method, a cleaning robot and a storage medium. The method comprises the steps that in a target water area, environment distance information of at least two distance sensors arranged on the periphery of the robot is acquired; based on the environment distance information, motion parameters of the robot are adjusted through a feedback control algorithm, and the robot is made to advance along the boundary of the target water area or a preset path; in the advancing process, boundary position information is determined according to lateral distance information in the environment distance information and position information and an orientation angle of the robot; and constructing a map of the target water area according to the boundary position information. By using the method, the map quality can be improved.

The application discloses a pipe piece assembling quality evaluation method based on three-dimensional point clouds, and relates to the technical field of visual measurement, comprising the following steps: comparing the assembling structure consistency of a reference structure candidate set and assembling point cloud data, obtaining an optimal assembling scheme, correlating and mapping the boundary positions of each pipe piece in the optimal assembling scheme with the corresponding boundary positions in the assembling point cloud data to generate pipe piece position offset relations; based on the pipe piece position offset relations, simulating the splicing of the optimal assembling scheme to generate an assembling path accessibility table, evaluating the assembling quality of the assembling path accessibility table, dividing quality grades, and generating an assembling quality evaluation table. The application improves the single geometric expression of three-dimensional point cloud data obtained through visual measurement to multi-reference structure expression by deducing the reference structure candidate set based on the assembling constraint set and generating the assembling path accessibility table, and improves the forward-looking nature and engineering guidance value of the assembling quality evaluation.

A setting support device for setting a road area in a detection range of an object detection sensor, said device comprising a processing unit that executes: processing of acquiring position information of an object moving along the edges on both sides in the width direction of a road within the detection range; processing of displaying a movement trajectory of the object on a display device on the basis of the position information; processing of receiving a boundary position of the road area determined on the basis of the movement trajectory displayed on the display device; and processing of setting the road area within the detection range on the basis of the boundary position.

An interface device includes: a detection unit that detects the three-dimensional position of a detection target in a virtual space; and a projection unit that projects an aerial image onto the virtual space. The virtual space is divided into a plurality of operation spaces for each operation executable by a user in a case where the three-dimensional position of the detection target detected by the detection unit is included, the operation being defined in each of the operation spaces, and a boundary position of each operation space in the virtual space is indicated by an aerial image projected by the projection unit.