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:
Jul. 02, 2019

Filed:

Nov. 30, 2016
Applicant:

Pictometry International Corp., Rochester, NY (US);

Inventors:

Stephen L. Schultz, West Henrietta, NY (US);

David R. Nilosek, Rochester, NY (US);

David S. Petterson, Avon, NY (US);

Timothy S. Harrington, Rochester, NY (US);

Assignee:

Pictometry International Corp., Rochester, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G16H 40/20 (2018.01); G01S 17/89 (2006.01); G06T 7/00 (2017.01); H04N 13/10 (2018.01); G01C 11/04 (2006.01); G06K 9/00 (2006.01); G06K 9/46 (2006.01); H04N 5/225 (2006.01); G06T 7/73 (2017.01); G06T 7/13 (2017.01); G06T 7/66 (2017.01); G06T 7/521 (2017.01); G01S 7/48 (2006.01);
U.S. Cl.
CPC ...
G01S 17/89 (2013.01); G01C 11/04 (2013.01); G01S 7/4808 (2013.01); G06K 9/00476 (2013.01); G06K 9/00637 (2013.01); G06K 9/4604 (2013.01); G06T 7/0004 (2013.01); G06T 7/13 (2017.01); G06T 7/521 (2017.01); G06T 7/66 (2017.01); G06T 7/73 (2017.01); H04N 5/2251 (2013.01); H04N 13/10 (2018.05); G06T 2207/10028 (2013.01); G06T 2207/10032 (2013.01); G06T 2207/10044 (2013.01); G06T 2207/30184 (2013.01);
Abstract

Automated methods and systems are disclosed, including a method comprising: capturing images and three-dimensional LIDAR data of a geographic area with an image capturing device and a LIDAR system, as well as location and orientation data for each of the images corresponding to the location and orientation of the image capturing device capturing the images, the images depicting an object of interest and the three-dimensional LIDAR data including the object of interest; storing the three-dimensional LIDAR data on a non-transitory computer readable medium; analyzing the images with a computer system to determine three dimensional locations of points on the object of interest; and updating the three-dimensional LIDAR data with the three dimensional locations of points on the object of interest determined by analyzing the images to create a 3D point cloud.


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