US Patent Issued to Zoox on Sept. 16 for "Machine-learned model for detecting object relevance to vehicle operation planning" (California, Texas Inventors)

ALEXANDRIA, Va., Sept. 17 -- United States Patent no. 12,415,549, issued on Sept. 16, was assigned to Zoox Inc. (Foster City, Calif.).

"Machine-learned model for detecting object relevance to vehicle operation planning" was invented by Samir Parikh (Los Gatos, Calif.), Gowtham Garimella (Hayward, Calif.), Linjun Zhang (Foster City, Calif.), Chunlei Dai (San Jose, Calif.), Yousef Ali Emam (San Francisco), Kai Zhenyu Wang (Foster City, Calif.), Woodrow Zhouyuan Wang (San Antonio), Benjamin Isaac Mattinson (San Francisco) and Xiaobo Ren (Fremont, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A machine-learned architecture for determining whether an object is relevant to a vehicle's action planning may c...