Ford Global Technolgoies, LLC

Toyota Motor Engineering & Manufacturing North America, Inc.

University of Michigan

Ziwei Zeng

John Moore

Donald E Maynard

Matthew C Tier

Ryan A Mikolaizik

Valerie Schnabelrauch

Junho Hong

Aydin Zaboli

Kuchan Park

Subhadip Ghosh

Jaerock Kwon

A computer that includes a processor and a memory, the memory including instructions executable by the processor to input an image to a first neural network to generate a first detected object and input the image to a second neural network to generate a reconstructed image which is input to a third neural network to generate a second detected object. The image can be divided into portions and the portions input to respective fourth neural networks to generate portions of a third detected object. The first detected object, the second detected object, the portions of the third detected object, and context data can be input to a partially observable Markov decision process to generate a high confidence detected object.

Machine learning and data classification for operating a device such as a vehicle

A system for reducing the likelihood of a battery short during a collision of a vehicle includes a metallic structure coupled to a portion of the vehicle. The system further includes a battery located proximate to the metallic structure and having a positive terminal. The system further includes an insulator coupled to the metallic structure such that it is located between the metallic structure and the positive terminal of the battery and configured to resist contact between the metallic structure and the positive terminal of the battery in response to the collision of the vehicle.

Battery pillar protector

Growing community of inventors

Canton, MI, United States of America

Ziwei Zeng