logo

For the Inventor, By the Inventor

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 11283986 B1

PDFFull Text
Date of Patent:
Mar. 22, 2022

Filed:

Apr. 29, 2021

Systems and methods for multi-target tracking and autofocusing based on deep machine learning and laser radar

Applicant:

Sz Dji Technology Co., Ltd., Shenzhen, CN;

Inventors:

Leilei Miao, Shenzhen, CN;

Di Wu, Shenzhen, CN;

Zisheng Cao, Shenzhen, CN;

Assignee:

SZ DJI TECHNOLOGY CO., LTD., Shenzhen, CN;

Attorney:

Finnegan, Henderson, Farabow, Garrett & Dunner, LLP

Primary Examiner:

Mikhail Itskovich

Int. Cl.
CPC ...
H04N 5/232 (2006.01); G06T 7/246 (2017.01); G01S 17/66 (2006.01); G01S 15/66 (2006.01); G06K 9/62 (2022.01); B64C 39/02 (2006.01); G06T 7/521 (2017.01); G01S 3/00 (2006.01); G06K 9/00 (2022.01); G01S 17/10 (2020.01); G06T 7/73 (2017.01); G01S 15/08 (2006.01);
U.S. Cl.
CPC ...
H04N 5/23212 (2013.01); B64C 39/024 (2013.01); G01S 3/00 (2013.01); G01S 15/66 (2013.01); G01S 17/10 (2013.01); G01S 17/66 (2013.01); G06K 9/0063 (2013.01); G06K 9/6256 (2013.01); G06K 9/6268 (2013.01); G06K 9/6271 (2013.01); G06K 9/6293 (2013.01); G06T 7/246 (2017.01); G06T 7/521 (2017.01); G06T 7/73 (2017.01); H04N 5/232 (2013.01); H04N 5/232127 (2018.08); B64C 2201/024 (2013.01); B64C 2201/127 (2013.01); G01S 15/08 (2013.01); G06K 2209/21 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/10028 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01);
Abstract

Systems and methods for recognizing, tracking, and focusing a moving target are disclosed. In accordance with the disclosed embodiments, the systems and methods may recognize the moving target traveling relative to an imaging device; track the moving target; and determine a distance to the moving target from the imaging device.

Find Patent Forward Citations

Miao, Leilei. (2022). Systems and methods for multi-target tracking and autofocusing based on deep machine learning and laser radar (U.S. Patent No. 11283986). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/11283986

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

Loading…