1641 results about "Cartography" patented technology

The invention relates to a three-dimensional live-action model generation method for city updating. The method comprises the following steps: collecting multi-source city image information, and obtaining semantic data according to the multi-source city image information; performing city modeling visualization according to the multi-source city image information to generate a city model; and matching the semantic data with the city model to obtain a three-dimensional real scene model containing the semantic data. According to the method, city information can be obtained more comprehensively by performing total factor accurate collection through a multi-source three-dimensional monitoring technology, the accuracy of a real scene model is improved, semantic data is matched with a city model, a three-dimensional real scene model containing the semantic data is obtained, multiple materials and textures of the model are combined, and the accuracy of the real scene model is improved. And the model is lightened, so that the purpose of reducing the resource loading time is achieved.

The invention discloses a highly dense broken ice image segmentation method based on an iteration MGAC and an SAM model, and the method comprises the steps: carrying out the sea ice instance segmentation of a preprocessing image based on the SAM model, and obtaining a sea ice mask image corresponding to the preprocessing image; according to the binary image and the sea ice mask image, obtaining an initial sea ice residual region image which is not identified by the SAM model; obtaining initial sea ice residual region images under different gray threshold values to obtain an initial seed mask graph; taking the initial sea ice residual region image and the initial seed mask image as inputs of a preset MGAC contour model, and obtaining an MGAC sea ice recognition result based on a multi-round iteration partitioning mechanism; and performing union operation on the MGAC sea ice identification result and the sea ice mask image to obtain a crushed ice segmentation mask result. The method solves the problem that the existing method is insufficient in structure extraction precision and boundary integrity of the dense broken ice area.

Embodiments of the present disclosure provide a three-dimensional scene reconstruction method and apparatus, a device, a medium, and a program product. The three-dimensional scene reconstruction method comprises: acquiring a scene image collected for a three-dimensional scene; on the basis of the scene image, determining sparse point cloud data and camera parameter information corresponding to the scene image; performing model initialization on the basis of the sparse point cloud data to obtain a current three-dimensional data model; performing rendering on the basis of the camera parameter information and the current three-dimensional data model to obtain a current color map, a current depth map and a current normal map from the perspective of the scene image, and determining a pseudo normal map from the perspective of the scene image on the basis of the current depth map; and on the basis of the current color map, the current normal map, the pseudo normal map, and an actual color map, training the current three-dimensional data model to obtain a trained target three-dimensional data model. By means of the technical solution provided by the embodiments of the present disclosure, higher-quality automatic reconstruction of three-dimensional scenes can be achieved, reducing reconstruction costs, and improving the level of detail and rendering quality of scene models.

The invention relates to the technical field of virtual reality, in particular to a garden landscape digital display and interaction system, hand track depth difference is extracted to construct a gradient path, a facade center point is combined to calculate an orientation included angle, jump calibration projection is analyzed, a leaf surface number is recognized, and an offset adjustment orientation is calculated according to a normal and an illumination included angle. And constructing a similar matrix recombination frame sequence scene, and counting an interaction picture presented by a hotspot coverage combination path access terminal. Visual inertia synchronization is realized by quantifying the depth difference and direction of a hand track, generating nodes based on a gradient threshold, smoothing a path, combining sudden change of an included angle between the nodes and a building center vector and identifying a visual angle switching area, the orientation is adjusted by cosine offset of a leaf surface normal and an illumination included angle, and the light and shadow continuity is improved through matrix reorganization mapping. The high-frequency interaction area is divided by combining the hotspot coverage frequency, and the response efficiency is improved.

The invention discloses a cultural relic three-dimensional dynamic scene display system based on a virtual-real fusion technology, and relates to the technical field of mixed reality, and the system comprises a data collection module which obtains original signals of a to-be-displayed cultural relic and a surrounding environment, and generates an environment feature vector and an environment fusion index; the twinborn simulation module is used for generating health state feature vectors of the cultural relics in combination with finite element grids and carrying out prediction simulation on the deterioration state of cultural relic materials; the model creating module is used for creating a three-tense model resource package and generating time axis metadata by adopting a vertex interpolation and mapping mixing technology; the story layout module is used for constructing an environment event mapping rule base, obtaining a ranked trigger event list through priority ranking, and generating a scene script sequence; according to the method, the health state and the degradation process of the cultural relics under different environmental conditions can be dynamically reflected, and three-dimensional scene display changing along with time evolution is provided.

Techniques are discussed herein for detecting and resolving disparities between sensor data perceived by sensor-based systems operating in an environment and corresponding map data of the environment. Sensor data may be captured by a vehicle or other sensor system operating in an environment, including representations of objects at various locations in the environment. The object representations may be used to determine disparities between the sensor data and map data associated with the same locations. Such disparities may be caused by, for example, physical changes in the environment, map data changes, and / or localization errors of the sensor system. The techniques discussed herein further include analyzing the map data and sensor data to determine causes associated with the disparities, and resolving the disparities by updating the map data and / or transmitting updated sensor configuration data to sensor systems in the environment.

Described is a system for generation location visualization on a map interface by identifying a current location of a user that is initiating an interaction function of an interaction client; identifying a map corresponding to the current location of the user; identifying one or more map tiles associated with the map; receiving historical location data of the user that is associated with the current location of the user; converting the historical location data into an overall polygon that is comprised of a plurality of polygons based on the identified one or more map tiles; and displaying the map with the plurality of polygons on a user interface.

In one aspect, a grid map construction method includes: acquiring a point cloud of a target scene in the current field of view; according to the point cloud in the current field of view, constructing an occupation grid map and a height grid map corresponding to each other in the current field of view; and then updating a target grid map of the target scene according to a point cloud occupation probability value of each grid in the occupation grid map and a point cloud height value of each grid in the height grid map in the current field of view.

The invention discloses a high arch dam global deformation analysis method and system fusing InSAR and measuring point data, particularly relates to the technical field of radar interference deformation monitoring, and is used for solving the problem of inaccurate shielding failure compensation. According to the method, data stability is guaranteed by obtaining InSAR image data and extracting sight line direction displacement in combination with coherence indexes, a key measuring point deformation sequence is collected, an InSAR result is calibrated based on stable reference points, data consistency is improved, a projection correction coefficient is constructed by using a dam body three-dimensional structure model, the sight line displacement is inversely solved into structural normal displacement, and the accuracy of the dam body three-dimensional structure model is improved. Obtaining an initial deformation value of the real structure meaning; according to the method, a spatial coupling map of measuring points and InSAR pixels is constructed for a shielding failure area, deformation compensation of the failure area is completed based on an edge weight, finally the deformation compensation result is remapped to a three-dimensional structure model, measuring point data restoration is performed on a high arch dam, and structural plane-level deformation visualization and trend analysis are realized more quickly and more accurately.

The invention discloses a data processing method for grassland bearing capacity dynamic evaluation and grazing planning, and belongs to the technical field of grassland ecological management, animal husbandry production informatization and data intelligent decision making. Aiming at the technical problems that a traditional static evaluation method neglects grassland productivity dynamic change and a grazing feedback effect, so that the resource utilization efficiency is low and grassland degradation is easily caused, the method dynamically predicts grassland bearing capacity and optimizes a grazing plan through iterative circulation, recursive calculation is carried out in combination with meteorological data and grazing consumption, and the grassland bearing capacity is evaluated. Collaborative optimization of the bearing capacity threshold value and the grazing plan is achieved, and rolling updating is supported. The method can be used for generating a scientific and dynamic grazing scheme, and the utilization efficiency and ecological sustainability of grassland resources are improved.

A method for crowd-sourcing lane line map data for a vehicle includes receiving a plurality of observations. The method also includes classifying the plurality of observations into a plurality of observation categories. Each of the plurality of observation categories includes at least one of the plurality of observations. The method also includes determining a plurality of aligned point clouds based at least in part on the plurality of observations. One of the plurality of aligned point clouds corresponds to each of the plurality of observation categories. The method also includes determining a plurality of lane line maps based at least in part on the plurality of aligned point clouds. One of the plurality of lane line maps corresponds to each of the plurality of aligned point clouds. The method also includes updating a map database based at least in part on the plurality of lane line maps.

The invention relates to a three-dimensional digital contour detection system for a tunneling roadway, and belongs to the technical field of roadway contour measurement. The system comprises a data acquisition module used for acquiring original point cloud data through a three-dimensional scanning device; the data preprocessing module is used for preprocessing the original point cloud data to obtain actual point cloud data, constructing design point cloud data and aligning the actual point cloud data with the design point cloud data to obtain standard point cloud data; the over-break and under-break area division module is used for dividing over-break and under-break areas according to the design point cloud data; the plane screening module is used for fitting a plurality of random planes and screening out a plurality of initial candidate planes; the roadway size calculation module is used for classifying five actual planes and calculating the roadway size of the tunneling roadway based on the five actual planes; and the visualization and storage module is used for visually displaying the roadway contour information. According to the invention, the error of tunneling roadway contour measurement is reduced, and the efficiency and real-time performance of roadway contour construction are improved.

The invention provides a high-precision live-action three-dimensional reconstruction method for building heritage, and relates to the technical field of data processing, and the method comprises the steps: obtaining image data, and dividing a to-be-reconstructed region into a plurality of sub-regions according to the overall structure of the building heritage; carrying out point cloud acquisition on each sub-region by utilizing acquisition equipment, adopting a first sampling interval in a conventional region, and dynamically shortening to a second sampling interval in an engraved concave or narrow space region; performing coarse registration processing, and executing iterative correction by using the feature corresponding points of the overlapping region to generate a first sub-region point cloud model; quality detection is carried out, and a missing area with the point cloud density not meeting the density judgment standard is determined; extracting local edge contour and gray gradient information in combination with the image data, and projecting the local edge contour and the gray gradient information to the missing area to generate a compensation point; carrying out weighted fusion processing, and executing curved surface interpolation in a fusion region; performing boundary feature alignment and global splicing to obtain a three-dimensional reconstruction model; according to the invention, the accuracy of three-dimensional reconstruction is improved.

The application discloses an improved radar two-dimensional ambiguity resolution method for multi-targets, comprising the following steps: arranging point trail data after radar signal processing according to pulse repetition period from small to large; constructing a reference lookup table for resolving range ambiguity based on the arranged data; constructing a reference lookup table for resolving velocity ambiguity based on the arranged data; traversing all the frequency combinations of radar transmission, selecting N groups from M groups of frequency for multi-target pairing; obtaining a range pairing table based on the reference lookup table for resolving range ambiguity, calculating the standard deviation between rows of the range pairing table, and solving the real range of targets; obtaining a velocity pairing table based on the reference lookup table for resolving velocity ambiguity, calculating the standard deviation between rows of the velocity pairing table, and solving the real velocity of targets; and merging and processing output target data. The application can solve the problem that the traditional one-dimensional set method cannot meet the real-time requirement when the number of targets is large and the ambiguity is large.

The invention relates to the technical field of AR, and discloses an AR war chess projection and identification method and system based on spatial positioning and region segmentation. The method comprises the following steps: acquiring a map local image, identifying angular point pixel coordinates and angular point world coordinates of a reference mark in the map local image, and calculating a working range polygon of a map surface currently covered by a projection device based on the angular point pixel coordinates and the angular point world coordinates; the coordinate information of the working range polygon is sent to a server, and the server screens local situation data located in the working range polygon from the global situation data; and receiving the local situation data pushed by the server, rendering a projection image limited in the working range polygon, driving the projection device to project the projection image to the surface of the map, and displaying situation enhancement information in a region corresponding to the working range polygon in an overlapping manner. According to the invention, the efficient multi-device cooperative work capability is realized, and the technical problem of large-size map AR enhancement is solved.

The invention relates to the technical field of virtual reality cultural relic construction, in particular to a cultural relic three-dimensional construction VR display system based on multi-modal data fusion. The specific implementation process comprises the steps of obtaining a laser point cloud and a two-dimensional image of the surface of a cultural relic, respectively generating a geometric point cloud and a visual sparse point cloud, and inputting the geometric point cloud and the visual sparse point cloud into a modal registration model based on geometry-luminosity combined constraint to complete pixel alignment and data fusion; performing texture mapping by using a Markov random field to generate a three-dimensional mapping model, generating a feature saliency map based on curvature calculation, and performing differential mesh simplification on flat and detail areas to output a polygonal contour; and generating a normal and a replacement map by using a ray casting algorithm, and importing the normal and the replacement map into a virtual reality engine for rendering display in combination with the polygonal contour. According to the method, a multi-mode joint optimization and differentiation grid simplification technology is utilized, dislocation and ghosting of texture mapping are effectively eliminated, and while VR rendering fluency is guaranteed, microscopic geometric details and physical material attributes of cultural relics are reserved.

The application provides a tea garden identification method and device based on satellite images, which comprises the following steps: determining a evergreen vegetation area of a to-be-identified area based on Sentinel-2 image data and Landsat image data of the to-be-identified area; and identifying a tea garden area from the evergreen vegetation area through a decision tree model; wherein the decision tree model is constructed based on the following features and the classification threshold values corresponding to the features: a tea leaf phenology feature index, a terrain feature, and a spectral index determined by a separability index, wherein the SI is used to reflect the spectral reflectance separability of the tea garden and other evergreen vegetation; wherein the tea leaf phenology feature index is determined by an enhanced vegetation index in month N and a land surface water index in month M; the SI between the enhanced vegetation index in month N and the land surface water index in month M is the largest compared with the SI between the EVI in any other month and the LSWI in any other month, and N and M are integers greater than 0 and less than 13.

A surface estimation method includes a region-setting step and an estimation step. In the region-setting step, a reference region that is one of a three-dimensional region and a two-dimensional region is set. The three-dimensional region includes three or more points and is set in a three-dimensional space. The three-dimensional space includes three-dimensional coordinates of three or more points on a subject calculated on the basis of a two-dimensional image of the subject. The three-dimensional coordinates of the three or more points are included in three-dimensional image data. The two-dimensional region includes three or more points and is set in the two-dimensional image. In the estimation step, a reference surface that approximates a surface of the subject is estimated on the basis of three or more points of the three-dimensional image data corresponding to the three or more points included in the reference region.

The embodiment of the invention provides a three-dimensional space change detection method and device, equipment and a storage medium, and relates to the field of digital image processing. The method comprises the following steps: acquiring image sequences of the same area shot by the unmanned aerial vehicle in two periods; for each image sequence, performing point cloud reconstruction on the region based on the image sequence to obtain the group of point cloud data; point cloud registration is carried out according to the similarity between the feature descriptors of all the points in the two sets of point cloud data, a matching point pair set comprising a plurality of matching point pairs is obtained, and two points in each matching point pair belong to two pieces of point cloud data and are closest to each other; and for each matching point pair, geometric information of two points in the matching point pair in respective point cloud data is acquired, and if it is determined that the difference between the two pieces of geometric information meets a preset difference condition, it is determined that the corresponding position of the matching point pair in the region is changed. According to the embodiment of the invention, the problem of insufficient spatial change detection precision in a complex scene is solved.

The invention discloses an obstacle detection method for a mine and a program product. The method comprises the following steps: acquiring environmental data in a mine driving environment of a transport locomotive based on a plurality of data acquisition devices deployed on the transport locomotive in the mine; obstacle identification is carried out on the environment data acquired by each data acquisition device, so that obstacle data corresponding to each data acquisition device can be obtained, according to the obstacle data corresponding to the plurality of data acquisition devices, respectively determining a detection source, a category and a moving speed corresponding to each target obstacle in the mine driving environment, wherein the detection source is used for indicating the data acquisition device which detects the target obstacle; and according to the total number of the detection sources corresponding to the target obstacle, the category of the target obstacle and the moving speed, executing an obstacle response operation corresponding to the transport locomotive so as to improve the accuracy of obstacle detection.

The various embodiments described herein include methods, devices, and systems for providing event alerts. In one aspect, a method includes obtaining a video feed. A frame of the video feed is analyzed at a first resolution to determine whether the frame includes a potential instance of a person. In accordance with the determination that the image includes the potential instance, a region is denoted around the potential instance. The region is analyzed at a second resolution, greater than the first resolution. In accordance with a determination that the region includes the instance of the person. a determination that the frame includes the person is made. An indication of the determination is stored for use in subsequent alert notification processing.

The invention discloses a visual large model and point cloud projection fused 3D target labeling method and system, and relates to the technical field of 3D target automatic labeling, and the method comprises the steps: carrying out the pixel-level semantic segmentation of a group of collected images and point clouds through a visual large model, and obtaining a segmentation image of a target pixel region and the semantic label of each pixel; generating a point cloud with a semantic tag by using projection of the point cloud to an image plane and semantic mapping; the method comprises the following steps: extracting foreground point clouds belonging to the same semantic tag, then performing clustering processing, obtaining a point cloud cluster belonging to the same semantic tag, traversing the point cloud cluster, fitting a 3D bounding box, combining parameters of a 3D target box obtained by fitting with the same semantic tag, generating 3D target annotations of the same semantic tag, then performing processing, and obtaining the 3D target annotations of the same semantic tag. Obtaining a final labeling result file; according to the 3D target labeling method, efficient and accurate 3D target automatic labeling is realized, the labeling cost is remarkably reduced, and the quality and consistency of labeled data are improved.

The invention discloses a landscape object identification and explanation method and system, a medium and a product, and relates to the technical field of augmented reality. The method comprises the following steps: when the head motion state of a user is stable, triggering a camera to collect and recognize a single-frame image, matching a recognition result with a regional knowledge base, and generating a candidate object list and coarse-grained poses which are sorted according to spatial probability and historical popularity; performing feature point matching on a current frame and an ideal frame in the video stream, and calculating a fine-grained pose of a target landscape in the candidate object list relative to a camera coordinate system according to a matched target feature point; according to the fine-grained pose and the real-time eye movement data, determining a drop point part of the sight line of the user on the target landscape, forming a multi-dimensional query vector according to the drop point part, the intention of the user and the environment context parameters, and generating multimedia explanation content; and carrying out fusion rendering on the multimedia explanation content and the real-time video stream, and outputting and displaying. By implementing the technical scheme, the personalized multimedia explanation content can be generated.

The invention relates to the field of meta-universe article mapping, in particular to an article virtual mapping method and device, equipment and a storage medium. The method comprises the following steps: performing physical attribute dimension mapping on a to-be-processed article in a physical world to generate a multi-representation physical attribute parameter; collecting a multi-angle image of a to-be-processed article, performing morphological analysis according to the multi-angle image of the to-be-processed article, and constructing a multi-attribute three-dimensional point cloud model based on the multi-representation physical attribute parameters; basic information of the meta-universe platform is extracted, platform visual style analysis and rendering material compatibility processing are carried out on the basic information of the meta-universe platform, and a dynamic rendering map is generated; and performing map superposition rendering on the multi-attribute three-dimensional point cloud model based on the dynamic rendering map to obtain a high-fidelity article model. Real-world physical articles are highly restored in the aspects of form, texture, illumination performance and the like, and the immersion of a user is improved.

A system includes a processor that is configured to detect occurrence of a disaster, activate a plurality of unmanned aerial vehicles and collect image and video data of a disaster-affected area, analyze the collected image and video data and generate a damage assessment as a three-dimensional map, visualize the generated three-dimensional map and distribute countermeasure instructions, receive information from residents of shelters and rescue workers, and extract important information by natural language analysis, and determine rescue activity instructions and support goods transport routes based on the extracted information.

The invention provides an AGV (Automatic Guided Vehicle) visual texture navigation path map real-time generation method, which comprises the following steps: collecting ground glossiness and a gray scale saturation region area, comparing the brightness difference between the gray scale saturation region and a normal region, and identifying the distribution position and the coverage range of a high-reflection region; according to the distribution position and the coverage range of the high-reflection area, extracting a texture missing part covered by the specular reflection patches, and determining boundary coordinates of the texture missing part; according to the optimized light incident angle distribution, the gray jump amplitude when the AGV drives into the polished tile area from the rough cement ground is collected, and the transition intensity of material change is evaluated; and filling a texture missing region in the path map by using the reconstructed complete texture features, and integrating the texture information of the path map to generate a complete AGV navigation path map.

Described are systems and techniques for road surveying. Information indicative of a sequence of target road sections each comprising one or more road segments can be used to configure a vehicle to perform a road survey by traveling each target road section of the sequence. Data acquisition can be started from onboard sensors of the vehicle based on detecting a first trigger event where a current position of the vehicle is within a configured threshold distance from a first target road section of the sequence. Respective road survey data can be obtained for each road segment in each target road section of the sequence, and can comprise a subset of acquired data obtained from the onboard sensors between a corresponding start and end point automatically determined for the respective road segment based on detecting the occurrence of trigger events corresponding to the current vehicle position and / or heading.

A method for determining occupied positions in a space starts by receiving detections of object movement from a radar monitoring the space. Each detection is associated with a position in the space and a time point when the detection was made. The method accumulates detections that have a time point within a first time period of predefined duration, and identifies a set of clusters of detections in the space by analyzing similarity in position of the accumulated detections. Any cluster whose detections are temporally distributed within a proportion of the first time period which is below a predefined proportion threshold are then removed from the set of clusters. The positions in the space that correspond to the set of clusters are determined to be occupied during the first time period.

A computer system displays graphical objects overlaying a representation of a field of view of one or more cameras, including displaying a first graphical object that represents one or more estimated spatial properties of a first physical feature that has been detected in a respective portion of the physical environment, and a second graphical object at that represents one or more estimated spatial properties of a second physical feature that has been detected in the respective portion of the physical environment. The computer system changes one or more visual properties of the first graphical object in accordance with variations in a respective predicted accuracy of the estimated spatial properties of the first physical feature, and changes the one more visual properties of the second graphical object in accordance with variations in a respective predicted accuracy of the estimated spatial properties of the second physical feature.

The invention discloses a truck information acquisition method and system integrating vehicle-mounted weighing and multi-positioning, and relates to the technical field of data processing, multi-source sensing cooperative acquisition is performed through a vehicle-mounted weighing sensor, a GPS positioning unit, a middle intersection positioning unit and a vehicle-mounted IMU, timestamps are added to data streams based on a unified system clock, and the data streams are acquired through a multi-source sensor. Synchronously acquiring static calibration parameters and driving attitude parameters; constructing a load transfer compensation model, and deducting false load components caused by pitching, rolling, acceleration and deceleration and vibration of the vehicle to obtain an actual load sequence; a confidence model is constructed based on sequence data features and attitude association verification to represent the confidence of the two types of sequences, and a fusion position sequence in a unified time domain is generated by adopting a weighted fusion and interpolation compensation strategy; and finally, through time synchronization alignment and sampling frequency compensation, a load-position corresponding relation is established, a joint representation data set is generated, and high-precision and full-scene integrated acquisition of the truck operation core data is realized.