ALEXANDRIA, Va., Sept. 10 -- United States Patent no. 12,411,228, issued on Sept. 9, was assigned to APTIV TECHNOLOGIES AG (Schaffhausen, Switzerland).

"Machine-learning-based super resolution of radar data" was invented by Kanishka Tyagi (Agoura Hills, Calif.), Yihang Zhang (Calabasas, Calif.), Kaveh Ahmadi (Simi Valley, Calif.), Shan Zhang (Los Angeles) and Narbik Manukian (Los Angeles).

According to the abstract* released by the U.S. Patent & Trademark Office: "This document describes techniques and systems for machine-learning-based super resolution of radar data. A low-resolution radar image can be used as input to train a model for super resolution of radar data. A higher-resolution radar image, generated by an effective, but costly...