US Patent Issued to Zoox on Feb. 24 for "Machine-learned model architecture for predicting future object state" (California, Texas Inventors)

ALEXANDRIA, Va., Feb. 24 -- United States Patent no. 12,559,099, issued on Feb. 24, was assigned to Zoox Inc. (Foster City, Calif.).

"Machine-learned model architecture for predicting future object state" was invented by Zhefan Ye (Foster City, Calif.), Woodrow Zhouyuan Wang (San Antonio) and Samir Parikh (Los Gatos, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Predicting a future state, such as a future position and/or orientation (i.e., pose), of an object may comprise classifying, by a first machine-learned model, a lane the object may occupy and classifying, by a second machine-learned model, a target pose the object may occupy. A third machine-learned model may determine an offset from the targ...