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:
Apr. 11, 2017
Filed:
Mar. 06, 2015
Guan Pang, Los Angeles, CA (US);
Jing Huang, Los Angeles, CA (US);
Amir Anvar, Houston, TX (US);
Michael Brandon Casey, Houston, TX (US);
Christopher Lee Fisher, Houston, TX (US);
Suya You, Los Angeles, CA (US);
Ulrich Neumann, Manhattan Beach, CA (US);
Guan Pang, Los Angeles, CA (US);
Jing Huang, Los Angeles, CA (US);
Amir Anvar, Houston, TX (US);
Michael Brandon Casey, Houston, TX (US);
Christopher Lee Fisher, Houston, TX (US);
Suya You, Los Angeles, CA (US);
Ulrich Neumann, Manhattan Beach, CA (US);
University of Southern California, Los Angeles, CA (US);
Chevron U.S.A. Inc., San Ramon, CA (US);
Abstract
A method of detecting objects in three-dimensional (3D) point clouds and detecting differences between 3D point clouds and the objects therein is disclosed. A method includes receiving a first scene 3D point cloud and a second scene 3D point cloud, wherein the first scene 3D point cloud and the second scene 3D point cloud include first and second target objects, respectively; aligning the first scene 3D point cloud and the second scene 3D point cloud; detecting the first and second target objects from the first scene 3D point cloud and the second scene 3D point cloud, respectively; comparing the detected first target object with the detected second target object; and identifying, based on the comparison, one or more differences between the detected first target object and the detected second target object. Further aspects relate to detecting changes of target objects within scenes of multiple 3D point clouds.