3 results about "Edge element" patented technology

The application relates to a high-precision calculation method of an edge-smoothed edge element static magnetic field based on an MVP formula, which divides grid data into a plurality of polyhedral smoothing domains with corresponding edges as centers according to each edge in the grid data, and the polyhedral smoothing domain is formed by nodes, body centers and face centers of tetrahedral units in the grid data around the corresponding edge; the vector function gradient of the corresponding edge is calculated based on the vector function of each tetrahedral unit in the polyhedral smoothing domain corresponding to the edge; the static magnetic field equation is constructed based on the MVP formula and the Coulomb norm, and the static magnetic field equation is rewritten according to the vector function gradient of each edge and the Galerkin method, so that the system equation of the static magnetic field is obtained; the system equation of the static magnetic field is further rewritten into Newton iteration linear equations; the Newton iteration method is used to iteratively solve the Newton iteration linear equations until convergence, so that the magnetic vector potential in the static magnetic field is obtained. The method realizes the high calculation precision and stability requirement of an engineering static magnetic field problem.

The invention relates to an upper shell for a pop-up roof or a sleeping roof, comprising at least one base shell and at least one edge element, wherein the at least one edge element is configured to extend the base shell along at least one spatial direction at its edge, wherein the at least one edge element is adjustable relative to the base shell along at least one spatial direction and / or the at least one edge element is replaceable and connectable to the base shell. The invention further relates to an arrangement and a method.

The present application belongs to the technical field of automatic driving test, and particularly relates to an automatic driving perception system edge scene generation method based on a diffusion model, a natural driving scene image set and an edge element set are constructed, and key prior information such as a road mask and depth is extracted; a text controllable diffusion model is trained and adapted using the natural driving scene set to learn the natural driving scene distribution; a multi-label discriminant sub-model is trained based on the edge element set to output calibrated element confidence; in the sampling stage, text semantics and elements are fused, and regionalization injection is carried out under structural prior constraints to guide the sampling process; geometric and physical consistency verification and automatic screening form a closed loop to obtain high-fidelity edge scene image data. The present application can realize efficient testing of the performance of an automatic driving perception system, quickly excavate functional defects of the system, and accelerate the industrialization of automatic driving cars.