Abstract: Methods, systems, and media for generating point cloud frame training data are provided. First domain point cloud data comprising a point cloud frame corresponding to a first LiDAR sensor configuration is obtained. For each ray, a pixel of a range image is generated by selecting a set of points from the first domain point cloud data based on a certain threshold distance of the points to the ray, a first peak of the pixel is identified as a subset of the set of points based on a distance value of each point in the subset, and the subset of points is processed using an averaging function to generate estimated reflectance data for the ray. The estimated reflectance data of each ray of the plurality of rays is processed to generate simulated second domain point cloud data comprising a point cloud frame corresponding to the second LiDAR sensor configuration.

Abstract: A cable-membrane tensegrity structure which is asymmetric, and construction method and design method thereof are provided. The cable-membrane tensegrity structure comprises a central opening and is formed by a ring cable (4) and three layers of radial cables comprising a suspension cable (1), a ridge cable (2) and a valley cable (3), wherein the suspension cable (1) is located above the ridge cable (2), the ridge cable (2) is located above the valley cable (3), wherein one end of each of the suspension cable (1), the ridge cable (2) and the valley cable (3) is connected to the ring cable (4), and the other end of each of the suspension cable (1), the ridge cable (2) and the valley cable (3) is connected to a peripheral supporting structure (7), wherein a coating membrane (5) is tensioned between the ridge cable (2) and the valley cable (3) that are adjacent to each other and function as a skeleton to tension the coating membrane (5).