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:
Jan. 05, 2021

Filed:

Mar. 16, 2018
Applicants:

Chien-yi Wang, Sunnyvale, CA (US);

Athmanarayanan Lakshmi Narayanan, Sunnyvale, CA (US);

Yi-ting Chen, Sunnyvale, CA (US);

Inventors:

Chien-Yi Wang, Sunnyvale, CA (US);

Athmanarayanan Lakshmi Narayanan, Sunnyvale, CA (US);

Yi-Ting Chen, Sunnyvale, CA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2006.01); G06K 9/00 (2006.01); G01C 3/08 (2006.01); G06N 3/04 (2006.01); G01S 7/48 (2006.01); G01S 17/42 (2006.01); G06K 9/66 (2006.01);
U.S. Cl.
CPC ...
G06K 9/6293 (2013.01); G01C 3/08 (2013.01); G01S 7/4802 (2013.01); G01S 17/42 (2013.01); G06K 9/00805 (2013.01); G06K 9/6221 (2013.01); G06K 9/66 (2013.01); G06N 3/0454 (2013.01);
Abstract

The present disclosure generally relates to methods and systems for identifying objects from a 3D point cloud and a 2D image. The method may include determining a first set of 3D proposals using Euclidean clustering on the 3D point cloud and determining a second set of 3D proposals from the 3D point cloud based on a 3D convolutional neural network. The method may include pooling the first and second sets of 3D proposals to determine a set of 3D candidates. The method may include projecting the first set of 3D proposals onto the 2D image and determining a first set of 2D proposals using 2D convolutional neural network. The method may include pooling the projected first set of 3D proposals and the first set of 2D proposals to determine a set of 2D candidates then pooling the set of 3D candidates and the set of 2D candidates.


Find Patent Forward Citations

Wang, Chien-Yi. (2021). Joint 3d object detection and orientation estimation via multimodal fusion (U.S. Patent No. 10885398). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/10885398

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Loading…