US Patent Issued to Toyota Motor Engineering & Manufacturing North America on Jan. 13 for "Systems and methods for end-to-end learning of optimal driving policy" (California, Texas Inventors)

ALEXANDRIA, Va., Jan. 13 -- United States Patent no. 12,524,495, issued on Jan. 13, was assigned to Toyota Motor Engineering & Manufacturing North America Inc. (Plano, Texas).

"Systems and methods for end-to-end learning of optimal driving policy" was invented by Xuewei Qi (Mountain View, Calif.), Kentaro Oguchi (Mountain View, Calif.) and Yongkang Liu (Plano, Texas).

According to the abstract* released by the U.S. Patent & Trademark Office: "A system for learning optimal driving behavior for autonomous vehicles comprises a deep neural network, a first stage training module, and a second stage training module. The deep neural network comprises a feature learning network configured to receive sensor data from a vehicle as input and output ...