Ford Global Technolgoies, LLC

Ishan Patel

Bryan Roger Goodman

Zhen Zhao

Akhil Perincherry

Kyoung Min Lee

Gursharan Sandhu

Kp Unnikrishnan

Ashley Naomi Kleinhans

A system, comprising a computer that includes a processor and a memory, the memory storing instructions executable by the processor to detect and locate an object by processing video camera data with a capsule network, wherein training the capsule network includes determining routing coefficients with a scale-invariant normalization function. The computer can be further programmed to receive the detected and located object.

Vehicle capsule networks

The present disclosure discloses a system and a method for translating, e.g., mapping, a Red-Clear-Clear-Clear (RCCC) image to a Red-Green-Blue (RGB) image. In an example implementation, the system and the method can receive, at a deep neural network, an image having a Red-Clear-Clear-Clear (RCCC) image pattern, wherein the deep neural network includes a generator and a discriminator; generate, at the generator, a Red-Green-Blue (RGB) image based on the image having the RCCC image pattern; determine, at the discriminator, whether the RGB image is machine-generated or is sourced from the real data distribution; and update at least one weight of the generator when the discriminator determines the RGB image is machine-generated.

RCCC to RGB domain translation with deep neural networks

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Ann Arbor, MI, United States of America

Ishan Patel