27 results about "Skyline" patented technology

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.

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 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.

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 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.

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.

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 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.

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.

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.

1. The name of the present design product: skyline dynamic display area of intelligent driving graphical user interface of electronic equipment. 2. The use of the present design product: an electronic equipment. 3. The design points of the present design product: in the graphical user interface. 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. The use of the graphical user interface: the interface is used to show the interaction of the intelligent driving state. 7. The human-computer interaction mode of the graphical user interface: in design 1-design 8, the front view interface is the interaction interface of the intelligent driving state; during the driving process, the dynamic interaction from the front view to the interface change state diagram is presented. 8. Other circumstances that need to be explained: the green coated part is not part of the present design.

The application discloses a k representative G-Skyline query method, comprising the following steps: S1, preprocessing a whole data set D to be queried to obtain an ordered contour set SKY(D)={s1, s2,..., s n}; S2, constructing a dominance relation graph according to the whole data set D to be queried; S3, constructing a dominance order graph based on a replacement strategy and an expansion strategy; S4, pruning a set of data tuples in the dominance order graph which cannot become a k representative G-Skyline query result according to a pruning strategy; and S5, returning a set of the first k data tuples with the largest dominance area in the pruned dominance order graph as a final result, so that the problem of high calculation cost in the existing k representative G-Skyline query method is solved.

An embodiment includes creating, by a system, a first dataset and a second dataset from a group of datasets by performing a skyline operation of a feature extracted from the group of datasets. The embodiment includes updating a pipeline metric in a pipeline store by orchestrating an automated modeler based on the first dataset where responsive to the updating an event notification message is transmitted. The embodiment includes detecting that the pipeline metric has been stored in the pipeline store based on the event notification message. The embodiment also includes responsive to the event notification message, creating a search space according to a criterion applied to the pipeline store and orchestrating the automated modeler according to the search space and the second dataset where the system models the first dataset and the second dataset individually and the second dataset is modelled based in part on the pipeline metric.

The invention provides an integrated navigation method based on skyline positioning and IMU prior fusion, which belongs to the technical field of navigation, and specifically comprises the following steps: monitoring a GNSS (Global Navigation Satellite System) signal; constructing a priori search space matched with the skyline by using the pose information obtained by the IMU through short-time calculation after the GNSS fails, and generating a priori space constraint according to the current position and an error model; the method comprises the following steps: acquiring a panoramic image of a surrounding environment of a vehicle, processing the panoramic image to extract an actual skyline, matching the actual skyline with a preset digital elevation model (DEM) skyline library under a priori space constraint, and outputting a plurality of candidate positions, selecting an optimal visual positioning result and confidence thereof from the plurality of candidate positions based on the trajectory consistency score; and taking the optimal visual positioning result as pseudo observation information, and using the confidence coefficient of the pseudo observation information to adaptively adjust an observation noise covariance matrix of the integrated navigation filter. According to the scheme of the invention, the navigation precision and robustness are improved.

The application discloses a construction method for demolishing a core area commercial building without falling off a frame, which comprises the following steps: erecting an outer scaffold on the outer side of the building, and connecting the outer scaffold with the frame columns of the building; removing the building from top to bottom, and reserving at least four frame columns arranged in a matrix at the opposite ends of the street side of the building and the plate strips between the at least four frame columns; erecting a full scaffold on the at least four frame columns, and connecting the full scaffold with the outer scaffold; and removing the at least four frame columns and the plate strips by taking the full scaffold as a construction platform. The application solves the problem that the skyline of the building is gradually lowered, which influences the overall image of the core area commercial building.

This invention relates to the field of image processing technology, and more particularly to a method for local horizon positioning of unmanned aerial vehicles (UAVs). The method utilizes multiple miniature cameras mounted on the UAV to capture surrounding images and extracts a preliminary skyline from these images. Then, based on the preliminary skyline, an energy function of the surrounding images is calculated, and the preliminary skyline is optimized using this energy function to obtain a complete skyline. The surrounding images are then divided into sky and ground regions using the complete skyline. These two regions are input into a trained convolutional neural network model to obtain the UAV's position coordinates relative to the complete skyline. This invention extracts the skyline from the image by calculating the edge response of the image and combining this with an energy function optimization method. Then, a lightweight environment recognition neural network model is used to perform collaborative environment-level recognition of the local environment, avoiding the limitations of feature-level and target-level recognition methods that are confined to local image information. This achieves efficient positioning of UAVs in local environments.

1. Name of the designed product: Building (Future Skyline Building Type 2). 2. Use of the designed product: The design is mainly used for residence. 3. Design points of the designed product: The shape. 4. Picture or photo that best indicates the design points: perspective view.

1. The name of the design product: climbing frame (sky chien). 2. The use of the design product: used in the process of building construction, supporting and lifting the construction platform. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective drawing.

The application provides a kind of combination navigation method based on skyline positioning and IMU prior fusion, belong to navigation technical field, specifically includes: monitoring GNSS signal;The pose information obtained by IMU in short time after GNSS failure is used to construct the prior search space of skyline matching, and the prior space constraint is generated according to the current position and error model;Collect the panoramic image of the environment around the vehicle, process the panoramic image to extract the actual skyline, and match the actual skyline with the preset digital elevation model DEM skyline library under the prior space constraint, output multiple candidate positions, and select the optimal visual positioning result and its confidence from multiple candidate positions based on trajectory consistency score;The optimal visual positioning result is used as pseudo-observation information, and its confidence is used to adaptively adjust the observation noise covariance matrix of the combination navigation filter.The scheme of the application improves the navigation accuracy and robustness.

The invention 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, and the method comprises the steps: loading image data and scene data; taking a color buffer area after illumination according to a scene in a rendering process as a first input buffer area, and taking a color buffer area of a current frame as a second input buffer area; obtaining three-dimensional scene information; using the first feature color to replace the building or topographic area to obtain an output buffer area; taking the output buffer area as input buffer area information, performing comparative analysis on the input buffer area information and a color buffer area of a previous frame, if pixels are different, outputting a second characteristic color, otherwise, outputting a first characteristic color; updating an output buffer area according to the characteristic color; removing cavity features and crack features in the output buffer area; performing local search to obtain a skyline of a screen drawing area; drawing boundary information of the skyline; and the skyline extraction accuracy is improved.

This utility model discloses a ceiling light emission structure that mimics the light and shadow effect of a skyline, including a lamp body, a frame, a light-transmitting plate, and a light-transmitting ring. A raised edge is integrally formed at the bottom edge of the inner side of the frame, supporting and positioning the light-transmitting ring within the frame. The light-transmitting ring has an annular trapezoidal groove for supporting the light-transmitting plate. The top of the frame has a cavity and a countersunk hole for embedding a sealing ring and for screws for fastening. The lamp body includes a mounting assembly at its top, a lamp plate with LED beads inside, and a light-blocking ring integrally formed perpendicular to the light-transmitting plate. The light-blocking ring has several light-transmitting holes. This utility model has a simple and reasonable structure. Based on the principle of small-hole light transmission, it achieves the goals of reducing costs and controlling the light emission angle and range, while creating a more natural and vivid light and shadow effect, improving the comfort and aesthetics of the lighting environment.

The invention discloses a city skyline extraction and quantitative evaluation method, and relates to the field of digital city planning, and the method comprises the steps: carrying out the image collection of a target city, and obtaining a target model; determining the azimuth orientation of the city based on the target model to obtain observation azimuth data; analyzing buildings in the city based on the target model to obtain regional data; determining observation conditions according to the observation azimuth data and the area data, and matching the target model according to the observation conditions; if the position coordinates capable of meeting the observation conditions exist, data extraction is carried out on observed building information according to the position coordinates, and a city skyline is obtained; and obtaining building information corresponding to the city skyline, determining an area where a building contained in the building information is located and the area property of the area, evaluating the city skyline based on a built-in evaluation index and the area property, obtaining evaluation data, and outputting the evaluation data. The method has the effect of improving the rationality of the extracted city skyline.