4results about How to "Achieve filtering" patented technology

This invention discloses a radar target tracking method based on spatiotemporal clustering and a multi-physics model, belonging to the field of radar target tracking technology. The method includes the following steps: S1, inputting radar point target data; S2, adaptive spatiotemporal clustering to remove noise; S3, establishing a multi-physics model and adaptive threshold weight matching point-by-point and track-by-track; S4, cyclic matching of predicted points; S5, integrating matching scores S1, S2, ..., Sn from the matching score queue; S6, taking the point corresponding to the optimal matching score as the output result. This invention proposes a multi-physics model matching and judgment approach, constructing multiple target motion physical models and combining the target's historical motion state with the current point's adaptability analysis. Even in complex scenarios such as changes in target motion patterns and multiple trajectory intersections, it can accurately identify point ownership, effectively solving the problems of insufficient robustness and poor adaptability of traditional methods, and significantly improving the continuity and accuracy of target tracking in complex scenarios.

This application relates to the field of precision turning technology for motor housings, specifically to a method, equipment, and apparatus for precision turning motor housings in heavy-duty truck transmission systems. The method includes: acquiring multiple modal inherent frequency bands of the machine tool tip; during the precision turning of the motor housing, real-time acquisition of sound pressure signals and machine spindle speed signals; pre-setting an update cycle for speed disturbance parameters; for each cycle, decomposing the sound pressure signal into signal components; screening out candidate chatter signal components suspected of containing chatter information; identifying and filtering out background noise components in each candidate chatter signal component; reconstructing each candidate chatter signal component; and then recombining them to obtain the target chatter frequency band signal; evaluating the chatter development status in the current cycle; and updating the speed disturbance parameters for the next cycle. This application aims to effectively ensure the precision turning accuracy of motor housings by improving the chatter suppression effect during precision turning.

The embodiment of the utility model discloses a mode filtering optical fiber and a laser device thereof. The mode filtering optical fiber comprises a fiber core, an inner cladding and an outer cladding, wherein the inner cladding comprises a matrix material and dielectric cylinders; the dielectric cylinders surround the fiber core and are periodically arranged in the matrix material in multiple layers, the dielectric cylinders on the inner layer are arranged in a regular hexagon shape, the dielectric cylinders on the outermost layer comprise four dielectric cylinder groups, and each dielectric cylinder group comprises three dielectric cylinders; a mode capable of being transmitted in a microstructure area formed by the dielectric cylinders and the matrix material forms a super-mode group, and an interval formed by the effective refractive index of the lowest-order mode and the effective refractive index of the highest-order mode in the super-mode group is a super-mode group interval. And the leakage loss of the fiber core mode in the super mode group interval is greater than that of other fiber core modes of which the effective refractive index is not in the super mode group interval. According to the utility model, large-mode-field and pure-fundamental-mode transmission is realized, and the dielectric cylinders are regularly arranged, so that the optical fiber is formed by tapering after being stacked in a rod shape, and the transmission mode of the few-mode optical fiber is effectively controlled.

The present application relates to an object detection method, device, electronic equipment and storage medium. The object detection method comprises: obtaining first point cloud data obtained by scanning a lane area corresponding to a vehicle; obtaining first road edge data obtained by performing road edge detection on the first point cloud data, performing augmentation processing on the first road edge data to obtain second road edge data; determining second point cloud data located in a lane area in the first point cloud data based on the second road edge data, and clustering the second point cloud data to obtain a candidate object; determining a target area in the lane area based on the first road edge data, and determining the candidate object in the target area as a target object to be detected. The embodiments of the present application can filter out interference data in the lane area outside, and filter out virtual targets in the lane area inside. The embodiments of the present application can filter out candidate objects outside the target area, and improve the accuracy of detecting the target object.