US Patent Issued to Tesla on Feb. 10 for "Vision-based machine learning model for lane connectivity in autonomous or semi-autonomous driving" (Texas Inventors)

ALEXANDRIA, Va., Feb. 11 -- United States Patent no. 12,548,351, issued on Feb. 10, was assigned to Tesla Inc. (Austin, Texas).

"Vision-based machine learning model for lane connectivity in autonomous or semi-autonomous driving" was invented by Patrick Cho (Austin, Texas), Ethan Knight (Austin, Texas), Tony Duan (Austin, Texas), Alex Xiao (Austin, Texas) and Jason Lee (Austin, Texas).

According to the abstract* released by the U.S. Patent & Trademark Office: "Systems and methods for a vision-based machine learning model for lane connectivity in autonomous or semi-autonomous driving. An example method includes obtaining images from a multitude of image sensors positioned about a vehicle; compute forward pass-through backbone networks of a ...