ALEXANDRIA, Va., Aug. 26 -- United States Patent no. 12,397,817, issued on Aug. 26, was assigned to TOYOTA RESEARCH INSTITUTE INC. (Los Altos, Calif.), TOYOTA JIDOSHA K.K. (Aichi-Ken, Japan) and Massachusetts Institute of Technology (Cambridge, Mass.).
"Representation learning for object detection from unlabeled point cloud sequences" was invented by Xiangru Huang (Quincy, Mass.), Yue Wang (Cambridge, Mass.), Vitor Guizilini (Santa Clara, Calif.), Rares Andrei Ambrus (San Francisco), Adrien David Gaidon (San Jose, Calif.) and Justin Solomon (Somerville, Mass.).
According to the abstract* released by the U.S. Patent & Trademark Office: "A method of representation learning for object detection from unlabeled point cloud sequences is describ...