Abstract: A method for analyzing fuselage profile based on measurement data of an aircraft, including: acquiring point-cloud data of an aircraft via a laser scanner; selecting point-cloud data of a fuselage component from the point-cloud data of the aircraft; based on a weighted locally optimal projection (WLOP) operator and Ll median curve-skeleton concept of point cloud, extracting a medial axis from the point-cloud data of the fuselage component; uniformly sampling the medial axis into a plurality of skeleton points; extracting a discrete point set of a cross-section contour of the fuselage component; performing circle fitting on the discrete point set to obtain a fitted circle and parameters thereof; calculating a deformation displacement measurement indicator ? of the cross-section of the fuselage component to evaluate cross-section contour of the fuselage.

Abstract: A semantic segmentation method for aircraft point cloud based on voxelization and three views, including: filtering a collected point cloud followed by centralization to obtain a centralized point cloud; inputting the centralized point cloud into a T-Net rotation matrix network; rotating the centralized point cloud to a front side followed by voxelization to obtain a voxelized point cloud; subjecting the voxelized point cloud to voxel filling to obtain a voxel-filled point cloud; calculating thickness maps of three views of the voxel-filled point cloud, followed by sequentially stitching and inputting to the point cloud semantic segmentation network to train the point cloud semantic segmentation network; inputting the collected point cloud into the trained point cloud semantic segmentation network; and predicting a result semantic segmentation of a 3D point cloud of the aircraft.

Abstract: A semantic segmentation method for aircraft point cloud based on voxelization and three views, including: filtering a collected point cloud followed by centralization to obtain a centralized point cloud; inputting the centralized point cloud into a T-Net rotation matrix network; rotating the centralized point cloud to a front side followed by voxelization to obtain a voxelized point cloud; subjecting the voxelized point cloud to voxel filling to obtain a voxel-filled point cloud; calculating thickness maps of three views of the voxel-filled point cloud, followed by sequentially stitching and inputting to the point cloud semantic segmentation network to train the point cloud semantic segmentation network; inputting the collected point cloud into the trained point cloud semantic segmentation network; and predicting a result semantic segmentation of a 3D point cloud of the aircraft.

Abstract: A method for analyzing fuselage profile based on measurement data of an aircraft, including: acquiring point-cloud data of an aircraft via a laser scanner; selecting point-cloud data of a fuselage component from the point-cloud data of the aircraft; based on a weighted locally optimal projection (WLOP) operator and L1 median curve-skeleton concept of point cloud, extracting a medial axis from the point-cloud data of the fuselage component; uniformly sampling the medial axis into a plurality of skeleton points; extracting a discrete point set of a cross-section contour of the fuselage component; performing circle fitting on the discrete point set to obtain a fitted circle and parameters thereof; calculating a deformation displacement measurement indicator ? of the cross-section of the fuselage component to evaluate cross-section contour of the fuselage.