US Patent Issued to NVIDIA on July 7 for "Detecting hazards based on disparity maps using machine learning for autonomous machine systems and applications" (California Inventors)

ALEXANDRIA, Va., July 7 -- United States Patent no. 12,676,008, issued on July 7, was assigned to NVIDIA Corp. (Santa Clara, Calif.).

"Detecting hazards based on disparity maps using machine learning for autonomous machine systems and applications" was invented by Yue Wu (Mountain View, Calif.), Liwen Lin (Santa Clara, Calif.), Xin Tong (Santa Clara, Calif.) and Gang Pan (Fremont, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "In various examples, systems and methods for machine learning based hazard detection for autonomous machine applications using stereo disparity are presented. Disparity between a stereo pair of images is used to generate a path disparity model. Using the path disparity model, a ...