US Patent Issued to SHANGHAITECH UNIVERSITY on July 14 for "Efficient K-nearest neighbor (KNN) method for single-frame point cloud of lidar, and application thereof" (Chinese Inventors)

ALEXANDRIA, Va., July 14 -- United States Patent no. 12,681,183, issued on July 14, was assigned to SHANGHAITECH UNIVERSITY (Shanghai).

"Efficient K-nearest neighbor (KNN) method for single-frame point cloud of lidar, and application thereof" was invented by Yajun Ha (Shanghai), Jianzhong Xiao (Shanghai), Hao Sun (Shanghai) and Qi Deng (Shanghai).

According to the abstract* released by the U.S. Patent & Trademark Office: "An efficient K-nearest neighbor (KNN) method for a single-frame point cloud of a LiDAR and an application of the efficient KNN method for the single-frame point cloud of the LiDAR are provided, where the efficient KNN method for the single-frame point cloud of the LiDAR is accelerated by a field-programmable gate array (...