3 results about "Error surface" patented technology

The application relates to the technical field of road engineering quality detection, and discloses a subgrade filling compaction degree intelligent detection method and system, which comprises the following steps: a multispectral remote sensing subsystem is controlled to collect images and generate orthographic images, and initial compaction degrees are calculated after interference masks are removed by vegetation and water body indexes; data heterogeneity and spectral characteristics are analyzed to generate sampling instructions containing suggestion coordinates; measured values fed back by a dynamic sampling subsystem are acquired, residual error vectors are calculated, and residual error correction surfaces covering the whole field are constructed; initial data and residual error surfaces are weighted and superimposed by using a dynamic correction coefficient to generate a final compaction degree distribution map. Through the combination of a multivariate regression model and a ground measured residual error correction mechanism, an adaptive sampling strategy based on spatial heterogeneity is used to guide accurate detection, the problems that a single remote sensing inversion is greatly disturbed by the environment and traditional sampling is insufficient in representativeness are effectively solved, and the comprehensiveness and accuracy of subgrade compaction degree detection are improved.

This invention relates to the interdisciplinary field of computer vision and graphics. It provides a method and system for mesh reconstruction based on 3D Gaussian scattering. The method includes obtaining a 3D Gaussian sputtering representation of a target scene, constructing an initial triangular mesh, selecting triangular faces from the initial triangular mesh to form a high-confidence seed face set, performing iterative region growth to reconstruct the surface mesh, stopping growth when no new candidate triangular faces are accepted or the iteration termination condition is met, and performing topological correction and smoothing on the final surface mesh to output the reconstructed 3D mesh model. By employing a strategy of "high-confidence seed selection" and "multi-criteria iterative growth," the reconstruction is ensured to start from a reliable geometric region, and newly added faces are strictly constrained to maintain smooth continuity with the already reconstructed parts in terms of geometry, scale, and appearance. This avoids the spread of erroneous faces and enables the reconstruction of a mesh model with rich details and strong visual consistency.

The application discloses a kind of unknown direction drive fault supported multi-agent system cooperative control method, it is related to multi-agent cooperative control field.Firstly, the MIMO multi-agent dynamics model containing unknown control gain is established, and the positive definiteness restriction to control gain matrix is relaxed by matrix decomposition technique;Second, a unified drive fault model is constructed, covering reverse fault, performance loss and overload and other complex working conditions;Then introduce local neighbor auxiliary compensation variable and error surface, construct Lyapunov function;On this basis, design adaptive fault-tolerant cooperative control protocol based on series Nussbaum function, effectively deal with unknown and inconsistent multiple control directions;Finally, drive reverse experiment is verified through multi-mobile robot platform.The application can ensure that multi-agent system asymptotically reaches consensus under the condition that drive direction is completely unknown or even reversed, significantly improve the fault tolerance and operation safety of the system under extreme fault conditions.