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:
Oct. 13, 2020

Filed:

Jun. 14, 2018
Applicant:

Trx Systems, Inc., Greenbelt, MD (US);

Inventor:

John George Karvounis, Bowie, MD (US);

Assignee:

TRX SYSTEMS, INC., Greenbelt, MD (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04N 7/18 (2006.01); H04N 13/239 (2018.01); G06K 9/00 (2006.01); G06K 9/62 (2006.01); H04N 5/222 (2006.01); G06T 7/80 (2017.01); G06T 7/246 (2017.01); G06T 7/277 (2017.01); H04N 13/282 (2018.01); H04N 13/00 (2018.01); G06K 9/46 (2006.01); H04N 13/246 (2018.01); H04N 13/122 (2018.01);
U.S. Cl.
CPC ...
H04N 13/239 (2018.05); G06K 9/00201 (2013.01); G06K 9/6248 (2013.01); G06T 7/246 (2017.01); G06T 7/277 (2017.01); G06T 7/85 (2017.01); H04N 5/2224 (2013.01); G06K 9/00664 (2013.01); G06K 9/4671 (2013.01); G06K 2209/29 (2013.01); G06T 2200/28 (2013.01); G06T 2207/10021 (2013.01); G06T 2207/20021 (2013.01); G06T 2207/20088 (2013.01); H04N 13/122 (2018.05); H04N 13/246 (2018.05); H04N 13/282 (2018.05); H04N 2013/0092 (2013.01);
Abstract

The present invention relates to LK-SURF, Robust Kalman Filter, HAR-SLAM, and Landmark Promotion SLAM methods. LK-SURF is an image processing technique that combines Lucas-Kanade feature tracking with Speeded-Up Robust Features to perform spatial and temporal tracking using stereo images to produce 3D features can be tracked and identified. The Robust Kalman Filter is an extension of the Kalman Filter algorithm that improves the ability to remove erroneous observations using Principal Component Analysis and the X84 outlier rejection rule. Hierarchical Active Ripple SLAM is a new SLAM architecture that breaks the traditional state space of SLAM into a chain of smaller state spaces, allowing multiple tracked objects, multiple sensors, and multiple updates to occur in linear time with linear storage with respect to the number of tracked objects, landmarks, and estimated object locations. In Landmark Promotion SLAM, only reliable mapped landmarks are promoted through various layers of SLAM to generate larger maps.


Find Patent Forward Citations

Loading…