Ford Global Technolgoies, LLC

Tyler Reid

Sarah Houts

Punarjay Chakravarty

Gaurav Pandey

Praveen Narayanan

Graham Mills

Shreyasha Paudel

Lynn Valerie Keiser

Example localization systems and methods are described. In one implementation, a method receives a camera image from a vehicle camera and cleans the camera image using a VAE-GAN (variational autoencoder combined with a generative adversarial network) algorithm. The method further receives a vector map related to an area proximate the vehicle and generates a synthetic image based on the vector map. The method then localizes the vehicle based on the cleaned camera image and the synthetic image.

Localization systems and methods

Vehicle localization systems and methods

A method for autonomous vehicle localization. The method may include receiving, by an autonomous vehicle, millimeter-wave signals from at least two 5G transmission points. Bearing measurements may be calculated relative to each of the 5G transmission points based on the signals. A vehicle velocity may be determined by observing characteristics of the signals. Sensory data, including the bearing measurements and the vehicle velocity, may then be fused to localize the autonomous vehicle. A corresponding system and computer program product are also disclosed and claimed herein.

Autonomous vehicle localization using 5G infrastructure

Growing community of inventors

Menlo Park, CA, United States of America

Tyler Reid