US Patent Issued to Zoox on March 17 for "Conditional object position prediction by a machine learned model" (California, Maryland Inventors)

ALEXANDRIA, Va., March 17 -- United States Patent no. 12,576,836, issued on March 17, was assigned to Zoox Inc. (Foster City, Calif.).

"Conditional object position prediction by a machine learned model" was invented by Gowtham Garimella (Hayward, Calif.), Carl-Johan E Hoel (San Mateo, Calif.), Xianan Huang (Foster City, Calif.), Marin Kobilarov (Baltimore), Gregory Michael Woelki (Foster City, Calif.) and Albert Zhao (Saratoga, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Techniques for predicting positions of objects in an environment are described herein. For example, the techniques may include clustering predicted object positions and using a representative target for one or more clusters to dete...