58 results about "Intersection model" patented technology

The invention relates to a phased array radar digital simulation system, and belongs to the technical field of radar system simulation. According to the phased array radar digital simulation system, a system framework is divided into a main sub system and three auxiliary sub systems, wherein the main sub system is a radar workbench simulation sub system and the three auxiliary sub systems are a simulation scene control sub system, a radar main control computer sub system and a radar analysis and evaluation sub system. The functions of the radar workbench simulation sub system are perfected by adding a control word interpreting module, a coordinate conversion module, a flight path intersection model and a loopback word delivering module, and therefore the real-time closed loop simulation of the whole phased array radar system can be carried out. The phased array radar digital simulation system has the advantages of being good in generality, good in instantaneity and capable of achieving the closed loop simulation, and can be applied to the design of modern phased array radar systems.

The invention provides an urban area and indoor high-precision visual positioning system and method. The image information of a surrounding environment is acquired based on a visual sensor to realize high-precision urban area and indoor positioning. The method comprises the steps that the distinguishing feature information of an image is calculated and extracted after the visual sensor captures the scene image information; according to the distinguishing feature information, similarity degree recognition and matching are carried out in the feature information base of a digital three-dimensional model; according to matching coordinate information recorded in an image feature matching process, a geometrical mapping relation from a three-dimensional scene to a two-dimensional image is restored, and a camera intersection model from a two-dimensional image coordinate to a three-dimensional space coordinate is established to determine the three-dimensional position and attitude information of the visual sensor and a dynamic user; multi-source image information captured by the visual sensor is received; a digital three-dimensional model corresponding to a real scene is reconstructed or updated; and the feature information base is updated. According to the invention, robust and sustainable positioning ability is provided when the surrounding environment changes.

The invention provides an intersection map matching method based on driver behavior characteristics and a logit model, relating to the field of vehicle positioning and map matching. The method comprises four phases of storing input data, mapping an initial site map, matching a map on a road section and matching an intersection map, so as to finish high-precision and real-time positioning of a vehicle driving track. The intersection map matching method disclosed by the invention solves the problem that the matching precision of the intersection map is low and overcomes the defect of the traditional intersection map matching method, so that the high-precision and real-time positioning of an intersection is realized.

The invention provides a model method static correction method for surface survey data and a model method static correction device for surface survey data. The method comprises the following steps of loading two-dimensional or three-dimensional surface survey data; executing unified processing on the loaded surface survey data, wherein the unified layering is carried out according to the time depth change trends, and the speed and thickness parameters of each control point on each layer are calculated; building a two-dimensional or three-dimensional near-surface model on the basis of surface survey data subjected to the unified processing; executing intersection model closing on the built three-dimensional near-surface model by adopting a two-way mean value interpolation method, or eliminating the model distortion of the three-dimensional near-surface model by adopting a center region smooth method; and building speed and thickness models of each two-dimensional or three-dimensional near-surface layer through time depth curve relevance operation, and calculating the model method static correction quantity of the surface layer survey data.

The invention provides an armored equipment damage rule analysis method based on a simulation experiment. The method comprises the following steps: obtaining a hit position in which each fight happens in a combat simulation test based on a missile and target space intersection model of an equipment unit; establishing a battle effect simulation model of typical ammunition to a typical part of typical equipment, correcting the real equipment battle effect by means of live ammunition, and determining the reasonability of the model and parameters; establishing a target non-uniform segmentation model based on a K-Means spatial clustering algorithm, optimizing the experimental design of damage analysis of parts in the equipment, and determining damaged parts and equipment damage level under each battle condition; and establishing a damage database matching model, and establishing finite-state off-line damage simulation and an infinite-state on-line real-time matching relationship by adopting a database mapping method, so that the application query is facilitated.

The invention relates to a position competition vehicle-mounted self-organizing network multi-hop broadcast method, and belongs to the technical field of communication. The method comprises the following steps: 1, dynamic clustering of connection stability which comprises the steps: carrying out the clustering of nodes, completing the clustering based on the connection stability, filling a broadcast data package and carrying out broadcasting, enabling the nodes to execute a broadcast forwarding method after receiving the broadcast data package, and achieving the competition forwarding of the broadcast data package; 2, multi-hop broadcast package transmission which comprises the steps: initiating a broadcasting process when an active node in a network needs to carry out data broadcasting of data of the whole network; 3, relay node competition forwarding which comprises the steps: employing different relay node competition forwarding strategies for different road models on the basis of network node clustering, wherein the relay node competition forwarding strategies mainly comprises relay node competition selection under a road segment model and relay node competition selection under a road intersection model. The method effectively reduces the redundancy of multi-hop broadcast and improves the reliability of broadcast. Meanwhile, the method adds a broadcast carrying forwarding strategy for a network isolated cluster head, and guarantees the broadcast reliability in a node sparse region or a network cavity region.

The invention discloses a method and a device for automatically driving based on an intersection model. The method comprises the following steps: pre-matching the intersection type of all the intersections by an intersection model on a high precision map; confirming planar geometrical scope and intersection attribute of the intersections on the high precision map on the basis of the intersection type and the morphological characteristics of the intersections; matching a current position of a vehicle on the high precision map through a locating module and confirming a practical intersection atwhich the vehicle is located according to the current position; confirming the planar geometrical scope and intersection attribute according to the practical intersection; retrieving all the traffic elements in the planar geometrical scope by a collecting unit; supplying a strategy reference to the driving of the vehicle at the practical intersection through the combination of planar geometrical scope, intersection attribute and traffic elements. The method disclosed by the invention is used for supplying reference to the driving strategy of the vehicle at the practical intersection through the high precision map, reducing the risk of automatic driving of the vehicle and promoting the safety.

The invention relates to a linear target drop point positioning method based on aerial three-dimensional positioning. The method is suitable for a linear target drop point positioning system based ondouble-station imaging observation, and can avoid a measurement error caused by inaccurate positioning of a landing pixel point due to target landing explosion. The method comprises the following steps: firstly, carrying out image TopHat transformation, background suppression and filtering enhancement; carrying out Image threshold segmentation, and removing connected regions with weak linear characteristics; Detecting a suspected linear target in the image by adopting a Hough algorithm, carrying out track association, tracking a track conforming to the motion characteristics of the target, positioning a target landing frame, and outputting an azimuth angle and a pitch angle of a start-stop pixel point of the linear target in the image before landing; Finally, based on a double-station direction finding intersection model, carrying out aerial three-dimensional positioning on a target before landing, and establishing a three-dimensional space linear equation of the target; And finally, according to the target GPS information, predicting a target drop point position to realize three-dimensional positioning of a target drop point.

The invention relates to a remote sensing image road intersection extraction method based on structural index characteristic, and the method comprises the steps: a to-be-detected intersection position set is acquired according to line intersection information in a road network vector; an intersection image slice is acquired according to the intersection position and a buffer radius, and a multi-directional morphological filter is adopted to perform enhancement processing to remove obvious small-size interference ground objects. The intersection structure detection is mainly divided into two levels to execute, and the two levels include plane intersection structure detection and road vertical intersection structure detection. When a plane intersection structure detection result is inconsistent with the intersection structure in a navigation road network, a fake detection result caused by separating vertical intersection is considered, and a road vertical intersection structure detection method is further adopted to perform further detection and verification. The composite road intersection structure widely existing is considered, a prior road intersection model is used as a constraint and can perform a structured organization on extracted adjacent road intersection.

The present invention discloses a space scenario data search method based on spatial relationship. The data search method comprises: step I, using a freehand search scenario as search input; step II, extracting a modified 9-intersection model semantic network from a database scenario and the search scenario; step III, extracting a basic directional relationship semantic network; step IV, creating an associated diagram of the 9-intersection model semantic network to obtain a preprocessing result set; step V, creating an associated diagram of the basic directional relationship semantic network with respect to the preprocessing result set to obtain a search result set; step VI, calculating a similarity score of search results in the search result set; step VII, if the current search result set is null or the number of search results in the search result set is smaller than a threshold, relaxing constraints of the spatial relationship, extending the search result set, and returning to the step IV, and otherwise, proceeding to the next step; step VIII, displaying the search results on an output device according to the similarity scores. The data search method provided by the invention has the advantages of improving search efficiency and enhancing user experience.

The invention discloses a Thiessen polygon grid-based power grid load visualization method, which comprises the following steps of: (1) obtaining power grid operation load and space information data based on historical operation data or real-time operation data of a plant station in combination with space position information; (2) generating a Thiessen polygon grid based on the geographic distribution of the plant stations; (3) traversing the Thiessen polygon mesh, and obtaining a plant station contained in the polygon mesh according to the topological nine-intersection model; (4) carrying outstatistical value processing on the plant and station load information in each grid, and carrying out statistics on a minimum value, a maximum value, a median value and an average value; (5) countingthe minimum value and the maximum value of the power grid load of the grid unit in the whole area; and (6) establishing color intervals corresponding to different numerical values using values of thecolor intervals corresponding to the median numbers obtained through statistics in each grid and coloring the polygonal grid. According to the invention, the power grid operation load geographic areadistribution condition can be effectively displayed. Therefore, the belonging power grid information can be considered, the grid area with higher load can be displayed with a clear boundary, and thegrid management is assisted.

The invention discloses a method for extracting an urban road on a remote sensing image based on road intersection detection, which comprises the following steps: establishing a road intersection model, and extracting an initial road line based on the remote sensing image; performing intersection operation on the initial road lines to extract initial road intersection points, and constructing an initial road network; detecting and verifying the initial road intersection based on an image segmentation and intersection contour shape analysis method, and obtaining the type of the intersection andthe direction of a road communicated with the intersection; and selecting correct intersections according to the types of the intersections, and constructing a target city road network in combinationwith the connected road directions. The method has the advantages that the urban road is extracted based on the road intersection, a stable and reliable extraction result is provided for urban road network extraction, the integrity and accuracy are higher, and the defects that in the prior art, an algorithm does not have universality, and the requirements for road characteristics and ground object conditions are high are effectively overcome.

The invention relates to the field of big data, and provides an intersection data generation method, which comprises the steps of receiving an ID intersection request sent by a data request terminal,with the ID intersection request carrying at least one piece of user ID information; responding to the ID intersection request; receiving the second encrypted data and the third encrypted data; inputting the first encrypted data, the second encrypted data and the third encrypted data into a pre-configured intersection model for intersection processing to obtain an intersection data set and a non-intersection data set; carrying out feature tagging processing on each piece of non-intersection data in the non-intersection data set to generate a plurality of virtual features; and sending the intersection data set and the plurality of virtual features to a data request terminal for federation training, and uploading the intersection data set and the plurality of virtual features to a block chain. According to the invention, the problem of leakage of user information easily caused by federated learning is solved, and the data security of the user is improved.

The invention discloses a road intersection three-dimensional model automatic generation method. The method comprises the following steps: acquiring basic parameters of the road intersection; disassembling the road intersection layer by layer according to the composition structure of the road intersection to obtain a pavement model, a sidewalk model, a lane line model and a lane guide arrow model;calculating vertex coordinates of the model; triangularizing the model by taking vertex coordinates of the model as vertex coordinates of a triangle, constructing a vertex index array according to the vertex coordinates of the triangle, and generating a triangular mesh model; creating different materials for the models respectively, and endowing the different materials to the corresponding triangular mesh models; and combining all the triangular mesh models to establish a road intersection model. According to the invention, the three-dimensional model of the road intersection can be automatically generated in a parameterized mode, a user only needs to specify basic parameters of the road intersection to automatically generate the corresponding three-dimensional model, convenience and rapidness are achieved, and the modeling efficiency of the road intersection is greatly improved.

A method for recommending a signal timing scheme based on intersection similarity comprises the following steps of 1) collecting intersection geographic information; 2) preprocessing data; 3) establishing an intersection model and a scheme model; 4) performing calculation of similarity on the target intersection and intersections in the database modules; and 5) evaluating the score module. The invention has the advantages that a method for recommending a signal timing scheme based on intersection similarity is proposed, the mass signal timing scheme can be recommended to the target intersection through the matching of intersection similarity to effectively improve the work efficiency and accuracy of the signal timing personnel, and the expert experience of the signal timing personnel is accumulated in the way of preserving the excellent timing schemes through the scoring mechanism.

The invention discloses a generation method and a device of a virtual traffic road network model in a game and an electronic device. The method comprises the following steps: acquiring virtual road planning data, wherein the virtual road planning data at least comprise position data for constructing sampling points contained in all virtual roads in a virtual traffic road network model; generatinga plurality of intersection models and a plurality of virtual road models for connecting every two adjacent intersection models in the plurality of intersection models based on the virtual road planning data; and combining the plurality of intersection models and the plurality of virtual road models to obtain a virtual traffic road network model. According to the method and the device, the technical problem that a virtual traffic road network generation mode in the related technology requires a large amount of manual participation, high operation complexity and high maintenance cost is solved.

The invention discloses an image transparency gradient matting method from a polygon outline to a target outline. The method comprises steps: outline path subdivision, vertex correspondence, outline polygon reconstruction and model mapping-based image matting frame are sequentially carried out on a to-be-processed image. The invention provides a gradient transparency generation algorithm for any image matting area formed from a control outline to an emergence outline in a surrounding mode, transparency gradient from the control outline to the emergence outline is controlled, any outline intersection model between the same emergence outlines can be supported, that is, certain emergence outlines can be intersected with other outlines to generate overlapped transparency gradient effects.

The invention discloses an intersection model establishment method and device, equipment and a medium, and relates to the technical field of data processing. According to the specific implementation scheme, the method comprises the following steps: identifying a plurality of intersection points conforming to composite intersection point attributes in road network data of an electronic map; grouping the intersection points and adjacent intersection points of the intersection points according to the adjacency relation between the intersection points to obtain intersection point groups corresponding to the composite intersections; and constructing an intersection model according to the intra-group intersection points in the intersection point group, the routes associated with the at least two intra-group intersection points and the routes associated with the intra-group intersection points and the out-of-group intersection points. According to the embodiment of the invention, the construction efficiency and comprehensiveness of the intersection model of the composite intersection are improved.

The embodiment of the invention provides an intersection test model data automatic construction method and device. A technology for automatically constructing intersection data model test data and test cases corresponding to the intersection data model test data based on basic intersection data model derivability is adopted; according to the technology, linear information can be rapidly and effectively reintegrated based on a small number of basic data models according to intersection model characteristic element combination information, then line shape cutting and merging are carried out, lines are overturned and moved according to intersection passing direction information and a new model shape is formed. Finally, the intersection attributes are matched according to the test cases automatically generated by the constructed model feature combination information so as to output the test data model to the test cases corresponding to the test data model in the test database. The basic model data and the characteristics of the intersection model are reasonably set, and a large amount of test model data and test cases can be automatically derived. A large amount of test data is provided for automatic testing, and the problem of model data required in the testing process is solved to a large extent.

The invention provides a method and a device for quickly modeling a mesh road by utilizing a height control construction curved surface in Civil3D, and the method the following steps: generating the height control curved surface, generating an alignment set of the mesh road, generating element lines, generating element line key points, obtaining element line key point elevations, generating longitudinal sections of the mesh road, creating an assembly, generating an intersection model in the road network, and generating a road object. According to the method, the mesh road can be quickly and accurately designed and modeled.

The invention discloses an automatic intersection passing decision method based on a convolutional neural network. The method sequentially comprises the steps of: building an automatic intersection model; determining all feasible passing sequences based on a plan tree method; collecting vehicle track data, listing all candidate passing sequences by using a plan tree, traversing all the sequences and obtaining time consumption corresponding to each sequence, establishing a tensor for describing a traffic state and a passing sequence, and constructing a tensor-time consumption database; and constructing and training a convolutional neural network, and obtaining a passing sequence corresponding to the tensor with the shortest time through the trained convolutional neural network as a final passing scheme. The method can significantly reduce the calculation time, reduce the driving delay, and improve the passing speed.

The embodiment of the invention discloses an automatic model generation method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring an original image for generating a target model and a model map of the target model, wherein the original image comprises at least two model views obtained by watching the target model from different visual angles; creating a model plane corresponding to each model view in a three-dimensional space based on each model view; adjusting the relative position of each model plane based on the viewing angle of each model view, so that the relative position of each model plane is matched with the relative position of each model view on the target model; generating crossed silhouette models in the three-dimensional space according to the relative positions of the model planes and the model planes, and obtaining crossed parts of the silhouette models to form a crossed model; cutting the intersection model, and determining vertex texture coordinates of the cut intersection model; and rendering a corresponding model map on the surface of the intersection model based on the vertex texture coordinates to form a target model.