US Patent Issued to Aptiv Technologies on May 20 for "Radar system using a machine-learned model for stationary object detection" (California, Alabama Inventors)

ALEXANDRIA, Va., June 16 -- United States Patent no. 12,307,353, issued on May 20, was assigned to Aptiv Technologies AG (Schaffhausen, Switzerland).

"Radar system using a machine-learned model for stationary object detection" was invented by Kanishka Tyagi (Agoura Hills, Calif.), Yihang Zhang (Calabasas, Calif.), John Kirkwood (Playa del Rey, Calif.), Shan Zhang (Thousand Oaks, Calif.), Sanling Song (Northport, Ala.) and Narbik Manukian (Los Angeles).

According to the abstract* released by the U.S. Patent & Trademark Office: "This document describes techniques and systems related to a radar system using a machine-learned model for stationary object detection. The radar system includes a processor that can receive radar data as time-serie...