ALEXANDRIA, Va., Oct. 8 -- United States Patent no. 12,434,739, issued on Oct. 7, was assigned to Zoox Inc. (Foster City, Calif.).
"Latent variable determination by a diffusion model" was invented by Ethan Miller Pronovost (Redwood City, Calif.).
According to the abstract* released by the U.S. Patent & Trademark Office: "A computing device can implement techniques for predicting an object trajectory or scene information. For example, the techniques may include inputting latent variable data into a machine learned model. The machine learned model may output an object trajectory (e.g., position data, velocity data, acceleration data, etc.) for one or more objects in the environment based on the latent variable data. The object trajectory ca...