59 results about "Skyline" patented technology

The invention provides a skyline segmentation method, device and equipment and a medium, and the method comprises the steps: training a constructed LineFormer model through employing mountainous area image data collected at a fixed point in a mountainous area, and obtaining a skyline segmentation model; inputting the image data of the target mountainous area into a skyline segmentation model for segmentation to obtain a skyline binarization segmentation result; the LineFormer model comprises an embedding module, a first Transformer module, a second Transformer module, a third Transformer module, a fourth Transformer module, a fifth Transformer module, a first multi-scale feature fusion module, a second multi-scale feature fusion module, a third multi-scale feature fusion module, a fourth multi-scale feature fusion module, a first multi-layer sensing module, a second multi-layer sensing module and a recursive cavity self-attention module; and the skyline segmentation performance is improved.

The invention relates to an ultra-short-term photovoltaic power prediction method and device based on random skyline video prediction, and a medium. The method comprises the following steps: S1, extracting color cloud picture feature points from a foundation cloud picture sequence; s2, carrying out feature matching by adopting an FLANN algorithm, carrying out filtering correction by adopting an IRANSAC algorithm, and calculating a feature point coordinate transformation matrix according to a cloud picture feature point coordinate matching condition of adjacent time points to obtain a cloud cluster movement track; s3, if the cloud layer displacement speed is greater than a set threshold value, turning to S4, otherwise, performing image translation operation and then turning to S5; s4, adopting a SkyGPT model to carry out random skyline video prediction, and generating a skyline image sequence of a future set time period; s5, extracting the cloud cluster by adopting a threshold segmentation method, and constructing an irradiation coefficient representing the irradiance condition at the next moment; and S6, constructing an incidence matrix of the image and the irradiation coefficient, extracting irradiance, and fusing image features and irradiance features to obtain a photovoltaic power prediction result. Compared with the prior art, the method has the advantages of high prediction precision, high reliability and the like.

The invention discloses a smart city planning method and system based on digital twinning, relates to the technical field of city planning, and solves the problems that the scheme is not feasible due to dependence on manual interpretation of regulation texts, lack of automatic generation and matching of index constraint lists and possible neglect of key constraint conditions in planning suggestions, and meanwhile, the scheme is high in subjectivity and low in cost. And a unified quantitative model is lacked. Through the NLP technology, planning suggestions and regulation terms are compared in real time, conflict indexes are automatically marked, planning conditions and preliminary index calculation results are combined, the generated project planning suggestions strictly follow a policy framework, and manual interpretation errors or violation risks are avoided. A collaborative quantitative evaluation model of the single building and the regional landscape is established, and the landscape effect of the planning suggestion is evaluated from the dimensions of spatial layout, visual vestibule, skyline, color coordination and the like. The fusion degree of the project and the surrounding environment is visually reflected through quantitative scoring, and the deviation of subjective evaluation is avoided.

The invention discloses a digital city skyline extraction method and device and a medium, and relates to the technical field of computer vision. The method comprises the steps that a target image is input to a semantic segmentation model, a binary mask corresponding to the target image output by the semantic segmentation model is obtained, and the semantic segmentation model is used for distinguishing a sky area and a non-sky area of the target image; performing edge detection on the binary mask to obtain at least one edge contour; and determining a target skyline based on the longest edge contour in the at least one edge contour. Through the digital city skyline extraction method provided by the invention, the efficiency of extracting the digital city skyline can be improved, the robustness is high, and the precision can be improved.

The embodiment of the invention discloses a skyline analysis method and device, equipment and a storage medium, and the method comprises the steps: carrying out the screenshot of a target scene currently displayed by a 3D earth engine when determining a skyline, obtaining an initial image, modifying the background color of the sky in the 3D earth engine twice, and cutting out the corresponding image, and finally, determining the skyline in the initial image according to the pixel colors of the image pixels in the first image and the pixel colors of the image pixels in the second image. According to the embodiment of the invention, the skyline is determined by only analyzing and processing the image, in the skyline determination process, related necessary interfaces provided by a map engine are not depended on, meanwhile, a user does not need to have 3D scene processing experience, the technical threshold is low, the use condition is loose, the method is suitable for most occasions, and the user experience is improved. The technical problem that in the prior art, the service condition is harsh when the skyline is analyzed is solved.

1. The name of the design product: ceiling lamp (25003 Galaxy). 2. The use of the design product: indoor lighting. 3. The design points of the design product: in shape. 4. The picture or photo that best shows the design points: perspective view. 5. The overhead view expressed by the overhead view of the design product is not easy to see or not visible when in use, and the overhead view is omitted.

The present invention discloses a generalized approximate clustering Skyline query processing method in a road network environment. The present invention clusters a large number of points in the road network that are close in distance and similar in non-spatial dimensions to form an approximate point set and incorporates it into the Skyline query. The method comprises: for a given road network G and a query data set D, performing approximate clustering processing on the query data set D through a variant of the DBSCAN algorithm to form a data set D' with an approximate point set; constructing an SSR‑tree index based on the road network partitioning D'; performing a generalized clustering dominance judgment of the road network of the approximate set and the independent points based on the SSR‑tree index structure, and outputting a result set with a two-layer approximate index structure. Through the present invention, it is possible to reduce the judgment of a large number of approximate data points, improve efficiency, enrich the Skyline query result set, and solve the problem of too few traditional Skyline query result sets. As a generalized approximate clustering Skyline query processing method in a road network environment, the present invention can be widely used in the field of data query technology.

The application discloses an image processing method and device, a vehicle and a storage medium, and relates to the technical field of vehicles. The method is applied to a vehicle, the vehicle comprises a camera, and the method comprises the following steps: acquiring an original image of a traveling direction of the vehicle collected by the camera; performing preprocessing on the original image based on a preset pixel value, so as to obtain a target position of a target light group in the original image; performing processing on the original image based on a preset algorithm, so as to obtain a road contour line and a skyline in the original image; acquiring a target relative position of the target position and the road contour line and the skyline; and filtering the target light group based on the target relative position. According to the method, the light group collected in the traveling direction of the vehicle is filtered based on the road contour line and the skyline, the accuracy of detecting the light group in the traveling direction of the vehicle is improved, and the experience of a user is improved.

The present invention discloses a data query method based on representative skyline point selection, comprising: obtaining a product data set to be queried, performing skyline query on the data set to obtain a number of skyline points, calculating the number of dominant points of each skyline point and the similarity between skyline point pairs, further calculating the preference values ​​of all skyline points to the remaining skyline points, and obtaining the preference sequence of each skyline point to the remaining skyline points; based on a single transferable voting method, taking all skyline points as voters and voted persons, performing a round of voting according to the preference sequence of each skyline point to the remaining skyline points, obtaining the first participant or the second participant in the voting round, removing the first participant or the second participant from the voted persons and performing corresponding ballot transfer, and repeating the process of selecting the first participant or the second participant and ballot transfer until a predetermined number of first participants are obtained, that is, obtaining a data query result for product recommendation.

The invention discloses a city skyline image extraction method, relates to the technical field of digital city planning, and aims to solve the problem of low efficiency of city skyline image extraction in the prior art by constructing a simulation model and extracting a skyline in the simulation model. According to the technical scheme, the extraction efficiency of the city skyline image is greatly improved. And the efficiency is improved by at least two times. In addition, the problems that the viewpoint is single and is limited by the standing position of a photographer due to the fact that the city skyline is extracted through a picture are solved.

This invention discloses an absolute position perception method and system under GPS-denied conditions. The method includes the following steps: Step A: Images captured by rotating a camera at a specific angle are stitched together in a 360° circular pattern to create a panoramic image; Step B: Based on a semantic segmentation method improved by Deeplabv3+, the skyline is extracted from the natural panoramic image formed in Step A; Step C: OpenGL is used to visualize DEM data to form a rendering image, and the Canny operator is used to perform edge detection on the rendering image to output the skyline; Step D: By using VGG16 as a skyline feature encoder for the natural image and the DEM image, and combining it with a Siamese neural network to output the similarity between the two types of skylines, the self-position is perceived. This invention addresses the challenge of perceiving one's own position on the ground in situations such as military applications under GPS-denied conditions, and conducts research on determining one's own position to achieve the goal of absolute positioning that does not rely on GPS and initial position and whose error does not increase over time.

The invention belongs to the technical field of two-dimensional boxing, and particularly discloses a two-dimensional boxing optimization method based on an improved skyline algorithm and reinforcement learning, and the method comprises the steps: receiving a size parameter and a maximum bearing parameter of a box body and a to-be-boxed article set, and initializing a skyline set and the accumulated weight of the box body; aiming at the size parameter of the current article to be placed and the current skyline state, extracting a state feature vector; and circularly executing state feature vector extraction, action selection and placement operation until the article set is empty or the accumulated weight of the box body reaches the maximum weight, and outputting a final boxing scheme and a final space utilization rate. The optimization effect and the execution efficiency of two-dimensional boxing can be improved through the method and the device.

The invention provides an urban skyline live-action visual touch interaction optimization method based on multi-scene simulation. The method comprises the following steps: acquiring three-dimensional live-action data of an urban target area; uploading the three-dimensional live-action data to a digital twinborn visual platform, and reconstructing a skyline lightweight live-action model of the urban target district; recording and translating behavior and instruction information of a user for adjusting the skyline model one by one by using a wearable device, and summarizing the behavior and instruction information into preference training data; defining each building monomer in the skyline model as an agent, defining the action and reward function of the agent, and solving the skyline optimization problem of the skyline model by adopting multi-agent deep reinforcement learning; judging whether the loss function and the reward function meet requirements or not; and storing the output scheme, outputting the output scheme to a holographic sand table for operation and display, and performing secondary accurate adjustment. According to the invention, the behavior data of the skyline model can be adjusted based on the user, and the city skyline optimization scheme better meeting the user demand can be quickly generated.

The application relates to the technical field of digital graphic modeling, and discloses a skyline analysis method based on three-dimensional graphic simulation and a storage medium. The method comprises the following steps: loading image data and scene data; taking the color buffer after the light of the scene in a rendering process as a first input buffer and taking the color buffer of a current frame as a second input buffer; obtaining three-dimensional scene information; replacing a building or a terrain area with a first feature color to obtain an output buffer; taking the output buffer as input buffer information and comparing and analyzing the output buffer with the color buffer of a previous frame; if there is a difference in pixels, outputting a second feature color; otherwise, outputting the first feature color; updating the output buffer according to the feature color; removing a hollow feature and a crack feature in the output buffer; performing local search to obtain a skyline of a screen drawing area; drawing boundary information of the skyline; and improving the accuracy of extracting the skyline.

1. The name of this design product: Skyline Spotlight (2). 2. Application of this design product: for indoor lighting. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the design points: three-dimensional picture.

The utility model relates to the technical field of lighting lamp strips, and discloses a modelable skyline neon lamp strip which comprises a light-transmitting strip, a flexible PCB (printed circuit board), LED (light-emitting diode) lamp beads, a light-blocking strip, a reflective layer and a retainer, the flexible PCB is fixedly embedded on the light-transmitting strip, the light-blocking strip is embedded on one side of the outer edge of the light-transmitting strip opposite to the back of the LED lamp beads along the extension direction of the light-transmitting strip, and the reflective layer is arranged on the light-transmitting strip. A light reflecting layer is coated between the inner side wall of the light blocking strip and the light-transmitting strip in the extending direction of the light blocking strip, a maintaining piece penetrating through the light-transmitting strip in the extending direction of the light-transmitting strip is embedded in the position, between the light reflecting layer and the back face of the LED lamp bead, in the light-transmitting strip, and the maintaining piece can support plastic deformation of the light-transmitting strip and the light blocking strip. According to the LED lamp strip, light waste can be effectively reduced, the light utilization rate can be effectively improved, the overall illumination intensity of the lamp strip can be effectively improved, the lamp strip can have the plastic deformation capacity while having the large bending degree, and the modeling performance of the lamp strip is effectively improved.

The invention provides a path planning method based on regret minimization, and belongs to the technical field of path planning. The method comprises the following steps: constructing a path diagram with multi-dimensional attributes according to real road network information and a set of various attribute points on a road network; generating a path set from a starting point to all interest points based on the path diagram, and determining a Skyline path set based on the path set according to a comprehensive cost function; and calculating a utility function of each path of the Skyline path set, and selecting a minimum regret rate based on the utility functions to determine a recommendation set. According to the method, the Skyline path set is selected through the cost set, the calculation efficiency is improved, meanwhile, the recommendation set is selected through the regret value, and the preference of the user and the selection of the optimal path are met.

A method for localizing a device includes determining a first position estimate for the device using acquired skyline data and determining second position estimate using an object model representing expected representing locations of instances of objects from multiple object classes. A combined position estimate is then determined based at least in part on the first and second position estimates.

1. The name of this design product: Skyline Spotlight (1). 2. Application of this design product: for indoor lighting. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the design points: three-dimensional picture.

This invention discloses a deep learning-based method and apparatus for estimating the cardinality of Skyline queries. The method includes: parsing historical query logs of a database to obtain Skyline queries and their corresponding cardinality on a given target dataset, constructing a training set; constructing and training data distribution learning models based on the distribution information of the target dataset and the training set; using the model parameters of the trained data distribution learning models as initialization parameters for the cardinality estimation model, and training the cardinality estimation model based on the training set; and inputting a query point based on the trained cardinality estimation model to obtain the final cardinality estimate. This invention provides a solution for cardinality estimation of Skyline query variants and ensures the monotonicity property present in the cardinality estimation of Skyline query variants. It proposes an efficient and accurate cardinality estimation method with advantages such as high accuracy, high efficiency, strong robustness, and strong scalability. It has broad application scenarios in modern database management systems and query optimization.

The invention provides a multi-stage skyline positioning method, which belongs to the technical field of navigation, and specifically comprises the following steps: acquiring panorama image data of a mountain range image in a mountainous area, generating a mountainous area landscape image, and extracting a skyline corresponding to the mountainous area landscape image; extracting a local aggregation descriptor feature, an SVD feature and a height frequency vector from the landscape image, splicing the features into a unified retrieval vector, screening an initial skyline set by taking an Euclidean distance as a measure, and taking a first number of skylines ranked from small to large as a candidate skyline set; using a ResNet network to extract depth features and calculate Euclidean distances between the depth features and the candidate skyline set, and selecting a second number of skylines before the Euclidean distances are ranked from small to large as a target skyline set; and point set registration is carried out, final sorting is carried out according to the registered Euclidean distance, and the position information corresponding to the sample with the minimum distance is selected as the positioning result of the mountain landscape image. Through the scheme of the invention, the positioning accuracy and adaptability are improved.

The present invention discloses a skyline query method for incomplete data based on classification indexing. First, given an incomplete data set, the incomplete data set is classified using an incomplete data classification indexing algorithm. The classification indexing algorithm standardizes the data set and improves query efficiency. A skyline query is then performed on the classified data set. During the skyline query, optimal pruning points are introduced to reduce the amount of data. The incomplete data skyline query algorithm is then used to complete the skyline query on the data set and locate the global skyline point. The incomplete data classification indexing algorithm and the incomplete data skyline query algorithm can effectively reduce redundant data in the data set, thereby improving skyline query efficiency.

The invention relates to an urban skyline quantitative evaluation method based on a scene feeling ecological idea. The method is suitable for the technical field of urban planning and design. According to the technical scheme, the method comprises the steps of determining environment entity features of a city skyline based on a fusion model of a city live-action three-dimensional model and a planning and design scheme three-dimensional model; obtaining a questionnaire result of the public for the skyline of the fusion model, and determining a psychological perception level of the public for the skyline of the city based on the questionnaire result; determining a comprehensive evaluation score of the overall quality of the urban skyline based on the environmental entity features and the psychological perception level; the evaluation indexes of the environmental entity characteristics comprise the contour form and the proportion scale of the city skyline, the evaluation indexes of the contour form of the city skyline comprise the tortuosity and the fluctuation degree of the skyline, and the evaluation indexes of the proportion scale of the city skyline comprise the coordination of the skyline and a natural background and the hierarchy of the skyline contour.

The invention discloses a skyline image optimization method based on city overall environment simulation, relates to the technical field of digital city planning, and aims to solve the problem that the extracted city skyline image is inaccurate due to the fact that the influence of the city overall environment on the skyline image is not considered in the prior art. According to the technical scheme, the skyline is extracted through the constructed simulation model, the simulation model is optimized according to the fractal dimension of the skyline, the influence of the overall city environment on the city skyline image is fully considered, and the skyline image is extracted through the optimized simulation model. Compared with a skyline image obtained through an outer contour in a picture traditionally, the skyline image extracted by the method is high in accuracy. Moreover, the skyline image extraction efficiency is improved by more than two times.

The present invention provides a volume cloud solution suitable for curved surface vision at a mobile terminal with low consumption, belonging to the field of game development technology; including the following steps: S1, dynamically generating normal feedback patches of forward vision; S2, customizing volumetric lighting with Matcap algorithm; S3, patching the camera position; S4, optimizing curved surface vision effect and mobile terminal efficiency. The present invention uses a normal feedback patch dynamically generated at a certain angle to the camera direction, a lighting implementation solution customized based on Matcap, generates specific normal patches at the edge and perspective direction singularities, uses Blend to form overlapping depth, and uses a very small number of patches to form a strong sense of volume and lighting direction. At the same time, in order to perform on the curved surface vision, the vertex color calculated dynamically is used to simulate the light transmission effect of the spherical atmosphere and the performance of the skyline, and the problem of OverDraw being too high is solved by vertex dynamic sorting rendering, so that the mobile terminal can run stably and smoothly.

1. Name of the designed product: street lamp head (skyline). 2. Use of the designed product: for lighting. 3. Design points of the designed product: in shape. 4. Picture or photo that best shows the design points: design 1 perspective view. 5. Design 1 is designated as the basic design.

1. Name of the Design Product: Floor Lamp (Skyline Hard Tube). 2. Use of the Design Product: For indoor lighting. 3. Design Feature of the Design Product: Lies in the shape. 4. Picture or Photograph that Best Indicates the Design Feature: Perspective view.

The application provides a mass data Top-kskyline group query method, including stage one, applying a verification theorem of G-skyline to scan data points in a pre-sequencing table in sequence until all data points are scanned, and a candidate point set containing all candidate points and child sets of skyline points is obtained; stage two, candidate groups are generated from the candidate point set, and judgment of enumeration rounds is completed by a left part theorem, a right part theorem and an approximate theorem; scores of the candidate groups are calculated, and a Top-k score threshold is maintained; child G-skyline groups of Top-k candidate groups are generated, and a final result is obtained by updating the Top-k candidate groups. The pre-sequencing table is used as an index structure, and only once construction can be applied to all attribute combination scenes. Early termination is realized by using pre-sequencing, and the data scale that needs to be scanned for screening candidate points is reduced. Based on three calculation theorems of the left part theorem, the right part theorem and the approximate theorem, an efficient calculation method is provided, the upper bound of G-skyline group scores is reduced, and the number of generated G-skyline groups and the calculation amount are greatly reduced.

1. The name of the design product: Horizon lamp. 2. The use of the design product: for indoor lighting or decoration. 3. The design points of the design product: in the shape of the product. 4. The picture or photo that best indicates the design points: Design 1 front view. 5. Design 1 is designated as the basic design. 6. Other circumstances that need to be explained: A part of the enlarged view is a partial enlarged view of A in the front view of Design 1; B part of the enlarged view is a partial enlarged view of B in the front view of Design 2; C part of the enlarged view is a partial enlarged view of C in the front view of Design 3; D part of the enlarged view is a partial enlarged view of D in the front view of Design 4.

To provide an aerial cable collection system capable of wirelessly transmitting image-related data in real time and in a stable manner between a grapple device and a display device, even over long distances and in steep terrain, when a worker views a stereoscopic image on the display device and remotely operates the grapple device.SOLUTION: An aerial cable collection system includes: a carriage 2 capable of traveling along a skyline SKL; a grapple device 3 suspended from the carriage 2 via a lifting line LFL; a plurality of element-data acquisition sensors provided on the grapple device 3; a second control device; a goggle-type display device; and a Wi-Fi communication unit. The second control device includes a three-dimensional shape construction unit that is provided on the grapple device and constructs combined three-dimensional shape information, and a three-dimensional image creation unit that is provided on the grapple device 3 and creates a stereoscopic image from the combined three-dimensional shape information. The goggle-type display device displays the stereoscopic image transmitted from the grapple device via the wireless communication unit.SELECTED DRAWING: Figure 1