US Patent Issued to Zoox on April 14 for "Machine-learned model architecture for occluded object spawning, track generation, and/or trajectory prediction" (California, Massachusetts, Pennsylvania Inventors)

ALEXANDRIA, Va., April 15 -- United States Patent no. 12,600,385, issued on April 14, was assigned to Zoox Inc. (Foster City, Calif.).

"Machine-learned model architecture for occluded object spawning, track generation, and/or trajectory prediction" was invented by Francesco Papi (Oakland, Calif.), Cong Ding (San Jose, Calif.), Mahsa Ghafarianzadeh (San Francisco), Willem Prins (San Francisco), Nicholas George Dilip Roy (Needham, Mass.), Soham Bhave (Pittsburgh) and John Welling Ware (Cambridge, Mass.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A machine-learned architecture may use sensor data, data derived from the sensor data, and/or to determine a grid indicating objects that are occluded to one or mor...