ALEXANDRIA, Va., July 3 -- United States Patent no. 12,346,991, issued on July 1, was assigned to Ford Global Technologies LLC (Dearborn, Mich.).

"Low- and high-fidelity classifiers applied to road-scene images" was invented by Vidya Nariyambut Murali (Sunnyvale, Calif.) and Madeline Jane Schrier (Palo Alto, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Disclosures herein teach applying a set of sections spanning a down-sampled version of an image of a road-scene to a low-fidelity classifier to determine a set of candidate sections for depicting one or more objects in a set of classes. The set of candidate sections of the down-sampled version may be mapped to a set of potential sectors in a high-fide...