62 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.

A computer-implemented method can determine a linguistic boundary condition for synthetic data generation in a multi-class classification problem. The method includes analyzing empirical labelled data using linguistic and vector representation techniques. The method further includes deriving a synthetic boundary conditional (SBC) model based on the analysis of the empirical labelled data and identifying a boundary location for performant synthetic data generation using the SBC model.

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 invention discloses a carriage height measuring method and device, an electronic product and a computer program product, and belongs to the technical field of data processing. The method comprises the steps that image data and distance data are obtained, the image data comprise a compartment side view and a reference column, a set of marks are arranged on the reference column at intervals, and the marks are used for representing the reference height to determine height information of a compartment; the distance data is the distance between the carriage and the reference column; processing the image data based on the trained machine learning model to obtain an identification result, the identification result including the boundary position of the carriage and the position of the mark; and obtaining height data of the carriage according to the identification result and the distance data. The device comprises a data acquisition module, an identification result obtaining module and a height data obtaining module. According to the technical scheme, the efficiency of carriage height measurement is improved, the automation degree is high, and the repeated labor amount is reduced.

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.

The application relates to the field of automatic walking equipment, and provides a driving control method, automatic walking equipment and a computer storage medium. The method comprises the following steps: in response to a control instruction of a user, starting a working mode of the automatic walking equipment; acquiring a boundary image corresponding to a boundary position of the automatic walking equipment in a target working area; constructing a boundary sub-map corresponding to at least two different boundary positions according to the boundary image; checking image data acquired by the automatic walking equipment according to the boundary sub-map, and obtaining a first image pose; and correcting an error of a historical pose of the automatic walking equipment according to the first image pose, and obtaining a target pose.

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 invention discloses a camera internal reference calibration method and device and electronic equipment, and the method comprises the steps: collecting an image in a current scene, carrying out the recognition of a distorted boundary pixel point of a linear structure in the collected image, and obtaining the boundary position information of the linear structure; sampling boundaries of the linear structure in the horizontal direction and the vertical direction according to the boundary position information, fitting sampling points to obtain a mean value position of the boundaries, and taking the mean value position as distortion centers in the horizontal direction and the vertical direction; constructing a fitness function based on the error sum of squares, and calculating to obtain a global optimal solution of the distortion coefficient according to the fitness function; and extracting parallel line identification information in the current scene, and obtaining a focal length closed solution based on the relative position relationship of the parallel lines. According to the technical scheme, the calibration process is simplified, the internal reference calibration of the camera is completed only depending on the linear features in the road scene, the camera can conduct self-adaptive calibration in the dynamic scene, and the calibration precision and stability are effectively improved.

The invention relates to a hydrogeological exploration data processing method, device and equipment and a medium, and the method comprises the steps: extracting fault lines and stratum boundary lines in a geological profile map to generate a space line set, and analyzing stratum interface coordinates and lithologic attributes from drilling data to generate a drilling interface point set; detecting spatial topology conflicts of the two types of data, and quantitatively calculating angle deviation, vertical distance and lithology difference to generate a conflict point set; dynamically distributing credibility weights of the data sources based on the conflict degree to form aquifer boundary correction parameters; and finally, fusing the drilling elevation and the boundary projection elevation when the three-dimensional model is reconstructed, and driving boundary position optimization through weights. According to the method, the systematic conflict between manual interpretation deviation and discrete drilling data is effectively solved, the problems of water-bearing stratum boundary positioning deviation and water inflow prediction distortion are eliminated, and unification of geological law consistency and reliable prediction of the water inflow is achieved.

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.

Provided is a wireless train control system capable of detecting the train position without a ground coil and correcting the train position in consideration of a transmission delay time. This wireless train control system comprises: a ground device comprising a detection unit that detects that a train has crossed a boundary located on a railroad, an identifier that can specify the boundary position when the detection unit detects that the train has crossed the boundary, and a cross-boundary data unit that creates and transmits, to the train, cross-boundary data having stored therein a serial number of data received from the train immediately before the train crosses the boundary; and an on-board device comprising a train position data unit that creates train position data having stored therein the train position and the serial number of the data, and that periodically transmits the train position data to the ground device, and a train position correction unit that, when the cross-boundary data has been received, corrects the train position by using the value obtained by adding the boundary position specified from the identifier in the cross-boundary data to the value obtained by subtracting, from the current train position, the train position immediately before crossing the boundary specified from the serial number in the cross-boundary data.

A method and system for determining object boundaries. Time-of-flight signals for a plurality of regions of an environment containing a first object and a second object are received and processed to identify at least one boundary region containing the first and second objects, at least one first reference region containing only the first object and at least one second reference region containing only the second object. The relative signal strengths of the ToF signals for a boundary region, first reference region and second reference region are used to estimate a proportion of the boundary region occupied by each of the first and second objects, and the estimated proportions are processed to determine a boundary position within the boundary region.

The invention relates to a control method, a storage medium and an autonomous working machine, the control method is applied to the autonomous working machine, the autonomous working machine is provided with a camera, the autonomous working machine has an automatic mapping mode and a remote control mapping mode, the automatic mapping mode is a mapping mode in which the autonomous working machine automatically moves along the boundary of a working area, and the remote control mapping mode is a remote control mapping mode. The remote control mapping mode is a mapping mode in which a user remotely controls the autonomous working machine to move along the boundary; the control method comprises the steps of obtaining an image based on a camera; performing image processing on the image to obtain an image processing result; under the condition that the image processing result represents that the autonomous working machine is located at the safety boundary position, the autonomous working machine is controlled to move based on an automatic mapping mode; and under the condition that the image processing result represents that the autonomous working machine is located at the unsafe boundary position, controlling the autonomous working machine to move based on a remote control mapping mode. The mapping efficiency and safety are improved, user operation is reduced, and meanwhile the accuracy of the map is ensured.

An embodiment of the present invention provides an adaptive multi-resolution laser scanning method and system. First, the object to be scanned is scanned and collected at a fixed resolution, so that the model can be collected quickly and efficiently. Then, the automatic feature and boundary detection process is entered. Through curvature features and boundary recognition, an area of ​​interest is generated, or three-dimensional model data is loaded. By analyzing the three-dimensional model data, the area of ​​interest is automatically extracted, and the automatic resolution improvement stage is entered. The scanning is continued, thereby improving the resolution of the area of ​​interest, up to N times the fixed resolution. According to the boundary encryption points of the product, each point produced by the scanner is fully utilized to improve the resolution at the boundary position of the product, thereby providing customers with more accurate measurement analysis and visual experience of the product.

To provide a technique capable of more accurately detecting a behavior-related event related to a person.SOLUTION: On the basis of a positional relationship between a predetermined boundary and a plurality of specific portions Bi of an object person, a detection device detects a behavior-related event of the object person (for example, [usual lying position (normal lying position)], [(upper body) getting up on the bed], [boundary position], etc.). For example, the detection device uses a learning model, which has been machine-trained using a plurality of teacher data with information indicative of a positional relationship between a boundary surface 210 and the plurality of specific portions Bi of the person as input and the behavior-related event related to the person as output, to detect the behavior-related event related to the object person on the basis of the information indicative of the positional relationship of the plurality of specific portions Bi of the object person with respect to the boundary surface 210.SELECTED DRAWING: Figure 4

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 invention relates to the technical field of intelligent control, in particular to a laser melt injection method based on deep learning and an intelligent detection device.The method comprises the following steps of extracting the spot direction and the texture position, mapping the spot direction and the texture position to the advancing direction, recognizing fracture and offset points, extracting the offset direction, the included angle trend and the corresponding path segment, analyzing the contour trend, and coincident boundaries and tracks. According to the method, the spot direction and the texture position in the image frame are mapped to the path advancing direction, the synchronous corresponding relation between the image change and the scanning behavior is established, and the abnormal section recognition precision is enhanced through the positioning of the texture fracture and the offset point; the contour boundary coincides with the pattern layer of the path to form a space response basis, the matching of the path direction and the boundary deflection point strengthens the hot area change and displacement linkage, and a control instruction is generated by combining the angle change and the heat boundary position, so that the adjustment action is close to the structure offset and the heat distribution change.

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.