12 results about "Planar polygon" patented technology

The invention discloses a spatial distributed observation method based on irregular region geometric feature sampling, and belongs to the technical field of aerospace. The implementation method comprises the following steps: establishing a coordinate system for describing the motion of the spacecraft; establishing a spacecraft dynamic model under the coordinate system; six initial orbit elements of a satellite can be obtained based on existing low-orbit constellation orbit data, the spatial position is calculated through the orbit elements, and then position components are converted into latitude and longitude coordinates, namely sub-satellite point coordinates; defining vertex coordinates of the polygon, and constructing a planar polygon by connecting the vertex coordinates end to end; discretizing the internal region of the closed polygon; on the basis of the kinetic model, on the basis of the coordinates of the sub-satellite point and the center coordinates of the discrete sampling circle, calculating the characteristic distance from the sampling point in the observation area to the sub-satellite point, and on the basis of the size relationship between the characteristic distance and the radius of the observation view field, judging whether the irregular area can be successfully observed in a preset time constraint interval; therefore, spatial distributed observation is realized.

This application discloses an aerial photography flight path planning method, which includes: acquiring a planar polygonal region; generating a first photography point; selecting a second photography point from the first photography point and setting constraints; if no set of second photography points satisfying the conditions exists, decreasing the focal length in the preset camera parameters and / or increasing the preset drone flight altitude, and then re-executing the step of calculating the rectangular coverage area to select the second photography point; if a set of second photography points satisfying the conditions exists, recording the current camera parameters and drone flight altitude, then increasing the focal length and / or decreasing the flight altitude, and re-executing the step of calculating the rectangular coverage area to select the second photography point; using the set of second photography points that last satisfied the constraints as the final planning result; planning the flight path and generating an aerial photography flight path file. This application can be used to solve the technical problems of low coverage efficiency and poor image clarity in existing aerial photography methods.

The invention relates to the technical field of visual computing, and particularly provides an overlapping activity area detection method, medium, equipment and product, and the method can comprise the steps: projecting a plane polygon area which is in a world calibration coordinate system and is parallel to the ground plane into images collected by each camera in a multi-camera stereoscopic vision system, obtaining each projection polygon area; obtaining each overlapping area of each projection polygon area and the image acquired by each camera; performing back projection mapping on each overlapping region to the world calibration coordinate system to obtain each mapping polygon region; and performing fusion calculation on each mapping polygon region to obtain an overlapping activity region which is used for providing a standing reference for the motion capture actor. According to some embodiments of the invention, efficient and accurate detection of the overlapping area of the multi-camera stereoscopic vision system can be realized.

The present invention provides a road network construction method and system based on a high-precision map. The method includes: reading the left and right side lines, lane lines, and linear POIs of each section of the road in the high-precision map, generating a road surface polygon according to the left and right side lines of the road, and generating a planar polygon according to the lane lines and linear POIs; respectively performing triangulation processing on the road surface polygon and the planar polygon to obtain the vertex arrays of all triangles; drawing the grid body segments of the corresponding road network according to the vertex arrays; repeating the above steps to construct the grid body segments of the next section of the road until the complete road network model is constructed. The present invention can be used to quickly and accurately construct a 3D road network. Even for large-scale construction, it can still ensure extremely high efficiency and extremely low performance consumption, and avoid the problems caused by the height difference on both sides of the road.

This application relates to a tin dioxide nanomaterial and its preparation method, a gas-sensitive sensor, a secondary battery, and an electrical device. The tin dioxide nanomaterial is a hollow nanobox comprising N planar polygons, where N ≤ 10. The aforementioned tin dioxide nanomaterial exhibits high sensitivity and selectivity to EMC (electrochemical compatibility) gases in the electrolyte, enabling monitoring of electrolyte leakage with rapid early warning. It can be assembled with a battery for in-situ detection.

The present invention discloses a method for quickly calculating the coverage of a constellation to a target area on the ground. This method addresses the problems of a large number of satellites, a large amount of coverage calculation, and low calculation accuracy, and designs a calculation method that can quickly locate relevant satellites, quickly calculate coverage, and maintain high accuracy. First, satellite orbit recursion is performed, and satellites related to the target area are quickly located based on a dichotomy method. Secondly, the satellite's beam coverage area to the ground is calculated based on the satellite payload type. Finally, the beam coverage area is abstracted into a planar polygon, and the intersection of the satellite's beam coverage strip polygon to the ground and the ground target area polygon is calculated to quickly calculate the satellite's coverage of the ground target area. Addressing the problems of a large number of satellites, a large amount of coverage calculation, and low calculation accuracy, the present invention can quickly locate relevant satellites, quickly calculate coverage, and maintain high accuracy.

This invention discloses a hand-eye calibration method based on the registration of a planar polygonal contour point set. The steps are as follows: S1, design a calibration reference object with a polygonal contour; S2, use a line laser contour sensor on the end flange of a robot to perform multi-point scanning on each edge contour at different poses to collect multiple point cloud contour data; S3, set the ideal target position of the calibration reference object, construct a target vertex set, and initialize the hand-eye calibration parameters; S4, construct a fitting vertex set of the polygonal contour based on the point cloud contour data, and perform coarse registration with the target vertex set; S5, construct a coarse registration contour feature point set and a coarse registration projection feature point set based on the ideal target position, and obtain the optimal solution for the hand-eye calibration parameters by minimizing the distance difference between the matching point pairs of the two; S6, design a hand-eye calibration performance evaluation index to evaluate and select the optimal solution for the hand-eye calibration parameters. This method has high registration efficiency and accuracy, low cost, and good stability.

The invention relates to the technical field of ship navigation operation, and provides a fishing area data application method, system and device based on an electronic chart and a medium, and the method comprises the steps: recognizing fishing area attributes, and constructing a fishing area database according to the fishing area attributes; the longitude and latitude of the fishing area position point are converted into fishing area screen coordinates to be drawn on an electronic chart; converting into a grid rectangular graph and a planar polygon graph; converting the longitude and latitude of each route point on the planned route into a route screen coordinate and converting the route screen coordinate into a route broken line graph, judging whether the route broken line graph is intersected with the grid rectangular graph or the planar polygonal graph, and converting the longitude and latitude of the ship position point into a ship screen coordinate and converting the ship screen coordinate into a ship point graph; and judging whether the grid rectangular graph and the planar polygonal graph contain ship point diagrams or not. According to the invention, unified management and overlapping display of the fishing area data are realized, the automatic application level of the fishing area data is improved, the operation difficulty of ship navigation in the fishing area is reduced, and the navigation safety index is improved.

The invention relates to a low-scattering carrier suitable for an omnidirectional RCS test, and relates to the field of electromagnetic scattering characteristic testing, the low-scattering carrier comprises an upper surface, a lower surface, a disc and a plane polygon structure, the upper surface and the lower surface are seamlessly connected, the front end and the rear end of the upper surface are in a flat pointed cone shape, and the disc is rotatably connected with the upper surface through a flange; the plane polygon structure is fixedly connected with the disc through a flange and a bolt pair; the upper surface, the lower surface, the disc and the plane polygon structure are smoothly connected, and the surface roughness is lower than 1.6. The conformal non-step structure design is adopted, tight connection is achieved, connection edge scattering is eliminated, the outer surface structure is shielded, the state of a plane polygon structure target in the actual installation process is well simulated, and the measurement accuracy of the plane polygon structure target is improved. Therefore, the method has the advantage that RCS measurement and evaluation can be more accurately carried out on the plane polygon-like structure target.

This invention discloses a hand-eye calibration method based on the registration of a planar polygonal contour point set. The steps are as follows: S1, design a calibration reference object with a polygonal contour; S2, use a line laser contour sensor on the end flange of a robot to perform multi-point scanning on each edge contour at different poses to collect multiple point cloud contour data; S3, set the ideal target position of the calibration reference object, construct a target vertex set, and initialize the hand-eye calibration parameters; S4, construct a fitting vertex set of the polygonal contour based on the point cloud contour data, and perform coarse registration with the target vertex set; S5, construct a coarse registration contour feature point set and a coarse registration projection feature point set based on the ideal target position, and obtain the optimal solution for the hand-eye calibration parameters by minimizing the distance difference between the matching point pairs of the two; S6, design a hand-eye calibration performance evaluation index to evaluate and select the optimal solution for the hand-eye calibration parameters. This method has high registration efficiency and accuracy, low cost, and good stability.

This application discloses a slope unit extraction method, belonging to the field of geological engineering technology. It includes: based on multi-source topographic data of the target area, performing physical constraint-based preprocessing and multi-scale feature extraction to construct a multi-source fusion feature tensor that integrates spectral features, elevation features, and multi-scale topographic location index features from remote sensing images; secondly, inputting the feature tensor into a TerrainNet deep learning model to obtain an initial topographic feature line prediction map representing the probability distribution of ridgelines and valley lines. The model integrates a large receptive field spatial attention mechanism, a bidirectional feature decoding mechanism, and a multi-objective joint loss function; finally, based on the prediction map, output processing is performed, generating several slope units representing planar polygons by identifying hanging endpoints, obtaining local directional vectors, and performing topological extension and closure processing. This method realizes the prediction of topographic feature lines and topological connectivity repair, improving the automation and structural accuracy of slope unit extraction.

Methods for corner refinement of a building wireframe model are presented, the method including: providing a point cloud of a building; providing the building wireframe model generated from the point cloud, where the building wireframe model includes a number of façades, each façade forming a planar polygon, and where each planar polygon includes a number of corners; displaying the building wireframe model, where each of the corners is user selectable; selecting one of corners; overlaying the selected corner on the point cloud; and refining a placement of the selected corner in accordance with the point cloud.