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.

Date of Patent:
Dec. 31, 2024

Filed:

Aug. 31, 2023
Applicant:

Trifo, Inc., Santa Clara, CA (US);

Inventors:

Zhe Zhang, Sunnyvale, CA (US);

Grace Tsai, Campbell, CA (US);

Shaoshan Liu, Fremont, CA (US);

Assignee:

TRIFO, INC., Santa Clara, CA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G05D 1/02 (2020.01); G05D 1/00 (2024.01); G06F 18/25 (2023.01); G06K 9/00 (2022.01); G06K 9/03 (2006.01); G06K 9/46 (2006.01); G06K 9/62 (2022.01); G06T 1/20 (2006.01); G06T 1/60 (2006.01); G06T 7/207 (2017.01); G06T 7/246 (2017.01); G06T 7/50 (2017.01); G06T 7/73 (2017.01); G06V 10/40 (2022.01); G06V 10/60 (2022.01); G06V 10/80 (2022.01); G06V 10/94 (2022.01); G06V 10/98 (2022.01); G06V 20/10 (2022.01); G06V 20/40 (2022.01); G06V 20/56 (2022.01); G06V 20/64 (2022.01);
U.S. Cl.
CPC ...
G05D 1/0246 (2013.01); G05D 1/0088 (2013.01); G05D 1/027 (2013.01); G05D 1/0274 (2013.01); G06F 18/251 (2023.01); G06T 1/20 (2013.01); G06T 1/60 (2013.01); G06T 7/207 (2017.01); G06T 7/246 (2017.01); G06T 7/248 (2017.01); G06T 7/50 (2017.01); G06T 7/73 (2017.01); G06T 7/74 (2017.01); G06V 10/40 (2022.01); G06V 10/60 (2022.01); G06V 10/803 (2022.01); G06V 10/955 (2022.01); G06V 10/993 (2022.01); G06V 20/10 (2022.01); G06V 20/40 (2022.01); G06V 20/56 (2022.01); G06V 20/647 (2022.01); G06T 2207/10016 (2013.01); G06T 2207/10028 (2013.01); G06T 2207/30244 (2013.01);
Abstract

The described positional awareness techniques employing sensory data gathering and analysis hardware with reference to specific example implementations implement improvements in the use of sensors, techniques and hardware design that can enable specific embodiments to provide positional awareness to machines with improved speed and accuracy. The sensory data are gathered from an operational camera and one or more auxiliary sensors.


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