US Patent Issued to APTIV TECHNOLOGIES on March 24 for "Methods and systems for training a machine learning method using high quality ground truth approximations" (German Inventors)

ALEXANDRIA, Va., March 24 -- United States Patent no. 12,585,983, issued on March 24, was assigned to APTIV TECHNOLOGIES AG (Schaffhausen, Switzerland).

"Methods and systems for training a machine learning method using high quality ground truth approximations" was invented by Jittu Kurian (Wuppertal, Germany), Jan Siegemund (Cologne, Germany) and Mirko Meuter (Erkrath, Germany).

According to the abstract* released by the U.S. Patent & Trademark Office: "A computer-implemented method for training a machine-learning method comprises the following steps carried out by computer hardware components: determining measurement data from a first sensor; determining approximations of ground truths based on a second sensor; and training the machine-l...