ALEXANDRIA, Va., Sept. 8 -- United States Patent no. 12,730,190, issued on Sept. 8, was assigned to NVIDIA Corp. (Santa Clara, Calif.).

"Object detection and classification" was invented by Tilman Wekel (Sunnyvale, Calif.), Sangmin Oh (San Jose, Calif.), David Nister (Bellevue, Wash.), Joachim Pehserl (Lynnwood, Wash.), Neda Cvijetic (East Palo Alto, Calif.) and Ibrahim Eden (Redmond, Wash.).

According to the abstract* released by the U.S. Patent & Trademark Office: "In various examples, a deep neural network (DNN) may be used to detect and classify animate objects and/or parts of an environment. The DNN may be trained using camera-to-LiDAR cross injection to generate reliable ground truth data for LiDAR range images. For example, annotat...