US Patent Issued to Korea University Research and Business Foundation on April 21 for "Generative adversarial network model and training method to generate message ID sequence on unmanned moving objects" (South Korean Inventors)

ALEXANDRIA, Va., April 21 -- United States Patent no. 12,608,603, issued on April 21, was assigned to Korea University Research and Business Foundation (Seoul, South Korea).

"Generative adversarial network model and training method to generate message ID sequence on unmanned moving objects" was invented by Huy Kang Kim (Seoul, South Korea), Jeong Do Yoo (Seoul, South Korea), Seonghoon Jeong (Seoul, South Korea), Eunji Park (Seoul, South Korea), Kang Uk Seo (Seoul, South Korea) and Minsoo Ryu (Seoul, South Korea).

According to the abstract* released by the U.S. Patent & Trademark Office: "Disclosed is a method for training an anomaly detection model of an unmanned moving object utilizing a message ID sequence, which includes: collecting pa...