This inventor holds 2 USPTO granted patents. Top assignee: Nanjing University of Aeronautics and Astronautics. Active years: 2023-2024.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2023-2024
Title: Innovations by Kun Xiao in Aircraft Technology
Introduction
Kun Xiao is a prominent inventor based in Nanjing, China. He has made significant contributions to the field of aircraft technology, particularly in the analysis and segmentation of aircraft point cloud data. With a total of two patents to his name, his work is paving the way for advancements in aeronautics.
Latest Patents
Kun Xiao's latest patents include a "Method for analyzing fuselage profile based on measurement data of whole aircraft." This method involves acquiring point-cloud data of an aircraft using a laser scanner and selecting relevant data for fuselage components. It utilizes a weighted locally optimal projection operator and Lmedian curve-skeleton concept to extract a medial axis from the point-cloud data. The process includes uniformly sampling the medial axis, extracting a discrete point set of a cross-section contour, and performing circle fitting to evaluate the cross-section contour of the fuselage.
Another notable patent is the "Semantic segmentation method for aircraft point cloud based on voxelization and three views." This method filters and centralizes collected point cloud data, which is then input into a T-Net rotation matrix network. The centralized point cloud is rotated, voxelized, and subjected to voxel filling. Thickness maps of three views are calculated and stitched together to train a point cloud semantic segmentation network, ultimately predicting the semantic segmentation of a 3D point cloud of the aircraft.
Career Highlights
Kun Xiao is affiliated with the Nanjing University of Aeronautics and Astronautics, where he continues to innovate in the field of aeronautics. His research focuses on improving the accuracy and efficiency of aircraft design and analysis through advanced data processing techniques.
Collaborations
Kun Xiao collaborates with notable colleagues such as Jun Wang and Tianchi Zhong. Their combined expertise contributes to the advancement of research in aircraft technology.
Conclusion
Kun Xiao's innovative patents and research efforts are making a significant impact in the field of aircraft technology. His work exemplifies the importance of advancements in data analysis and segmentation for the future of aeronautics.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile