US Patent Issued to Zoox on June 16 for "Machine-learned model architecture for predicting future object trajectory" (California Inventors)

ALEXANDRIA, Va., June 16 -- United States Patent no. 12,654,718, issued on June 16, was assigned to Zoox Inc. (Foster City, Calif.).

"Machine-learned model architecture for predicting future object trajectory" was invented by Zhefan Ye (Foster City, Calif.) and Sri Nitchith Akula (Mountain View, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Predicting a future trajectory of an object may comprise using a machine-learned model architecture to iteratively predict a series of predicted poses (positions and orientations) of the object over time. The machine-learned model may condition these predictions on a lane orientation of nearest target pose to a predicted pose or last predicted pose of the object."...