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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.:

US 12026195 B1

PDFFull Text
Date of Patent:
Jul. 02, 2024

Filed:

Aug. 31, 2021

Revealing city dynamics from random imagery data captured by a plurality of vehicles

Applicants:

Gal Zuckerman, Holon, IL;

Moshe Salhov, Herzeliya, IL;

Inventors:

Gal Zuckerman, Holon, IL;

Moshe Salhov, Herzeliya, IL;

Assignee:
Attorney:

Active Knowledge Ltd.

Primary Examiner:

Matthew C Bella

Assistant Examiner:

Dennis Rosario

Int. Cl.
CPC ...
G06V 20/56 (2022.01); G01S 13/931 (2020.01); G06F 16/58 (2019.01); G06F 16/587 (2019.01); G06F 18/21 (2023.01); G06F 18/214 (2023.01); G06V 10/80 (2022.01); G06V 40/10 (2022.01); H04N 7/18 (2006.01); H04N 25/40 (2023.01); G01C 21/00 (2006.01); G06V 40/16 (2022.01); G06V 40/20 (2022.01);
U.S. Cl.
CPC ...
G06F 16/5866 (2019.01); G06F 16/587 (2019.01); G06F 18/214 (2023.01); G06F 18/217 (2023.01); G06V 10/80 (2022.01); G06V 20/56 (2022.01); G06V 40/103 (2022.01); H04N 7/181 (2013.01); H04N 25/41 (2023.01); B60W 2420/403 (2013.01); G01C 21/3848 (2020.08); G01S 2013/9327 (2020.01); G06V 40/172 (2022.01); G06V 40/25 (2022.01);
Abstract

A plurality of on-road vehicles moving along streets of a city, while utilizing onboard cameras for autonomous driving functions, are bound to capture, over time, random images of various city objects such as structures and street signs. Images of a certain city object may be captured by many of the vehicles at various times while passing by that object, thereby resulting in a corpus of imagery data containing various random images and other representations of that certain object. Per each of at least some of the city objects appearing more than once in the corpus of imagery data, appearances are detected and linked, and then analyzed to uncover behaviors associated with that city object, thereby eventually, over time, revealing various city dynamics associated with many city objects.

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