The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
May. 21, 2024
Filed:
Nov. 28, 2017
Deep learning-based real-time detection and correction of compromised sensors in autonomous machines
Applicant:
Intel Corporation, Santa Clara, CA (US);
Inventors:
Assignee:
INTEL CORPORATION, Santa Clara, CA (US);
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2023.01); G05B 13/02 (2006.01); G06F 18/214 (2023.01); G06F 18/24 (2023.01); G06F 18/2413 (2023.01); G06F 18/25 (2023.01); G06N 3/045 (2023.01); G06N 3/084 (2023.01); G06N 5/04 (2023.01); G06T 5/77 (2024.01); G06T 7/00 (2017.01); G06V 10/764 (2022.01); G06V 10/80 (2022.01); G06V 10/82 (2022.01); G06V 10/98 (2022.01); G05D 1/00 (2006.01); G06N 3/044 (2023.01);
U.S. Cl.
CPC ...
G06T 5/77 (2024.01); G05B 13/0265 (2013.01); G06F 18/214 (2023.01); G06F 18/24 (2023.01); G06F 18/24133 (2023.01); G06F 18/251 (2023.01); G06N 3/045 (2023.01); G06N 3/08 (2013.01); G06N 3/084 (2013.01); G06N 5/04 (2013.01); G06T 7/0002 (2013.01); G06V 10/764 (2022.01); G06V 10/803 (2022.01); G06V 10/82 (2022.01); G06V 10/993 (2022.01); G05D 1/00 (2013.01); G06N 3/044 (2023.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30168 (2013.01);
Abstract
A mechanism is described for facilitating deep learning-based real-time detection and correction of compromised sensors in autonomous machines according to one embodiment. An apparatus of embodiments, as described herein, includes detection and capturing logic to facilitate one or more sensors to capture one or more images of a scene, where an image of the one or more images is determined to be unclear, where the one or more sensors include one or more cameras. The apparatus further comprises classification and prediction logic to facilitate a deep learning model to identify, in real-time, a sensor associated with the image.