Invention Grant
- Patent Title: Revealing city dynamics from random imagery data captured by a plurality of vehicles
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Application No.: US17462075Application Date: 2021-08-31
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Publication No.: US12026195B2Publication Date: 2024-07-02
- Inventor: Gal Zuckerman , Moshe Salhov
- Applicant: Gal Zuckerman , Moshe Salhov
- Applicant Address: IL Holon
- Assignee: Gal Zuckerman,Moshe Salhov
- Current Assignee: Gal Zuckerman,Moshe Salhov
- Current Assignee Address: IL Holon
- Agency: Active Knowledge Ltd.
- Main IPC: G06V20/56
- IPC: G06V20/56 ; G01S13/931 ; G06F16/58 ; G06F16/587 ; G06F18/21 ; G06F18/214 ; G06V10/80 ; G06V40/10 ; H04N7/18 ; H04N25/40 ; G01C21/00 ; G06V40/16 ; G06V40/20

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.
Public/Granted literature
- US20210390292A1 Revealing city dynamics from random imagery data captured by a plurality of vehicles Public/Granted day:2021-12-16
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