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:
Aug. 11, 2020

Filed:

Jun. 06, 2019
Applicant:

Patroness, Llc, Nashville, TN (US);

Inventors:

Jered Harvey Dean, Arvada, CO (US);

Barry George Dean, Franklin, TN (US);

Dan Alan Preston, Bainbridge Island, WA (US);

Assignee:

Patroness, LLC, Brentwood, TN (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
B60W 30/095 (2012.01); G05D 1/00 (2006.01); A61G 5/04 (2013.01); G05D 1/02 (2020.01); G06T 7/292 (2017.01); G06K 9/00 (2006.01);
U.S. Cl.
CPC ...
G05D 1/0088 (2013.01); A61G 5/04 (2013.01); B60W 30/0956 (2013.01); G05D 1/024 (2013.01); G05D 1/0214 (2013.01); G05D 1/0255 (2013.01); G06K 9/00805 (2013.01); G06T 7/292 (2017.01); A61G 2203/22 (2013.01); A61G 2203/72 (2013.01); A61G 2203/726 (2013.01); G05D 2201/0204 (2013.01); G05D 2201/0206 (2013.01); G05D 2201/0208 (2013.01); G05D 2201/0212 (2013.01); G06T 2207/30261 (2013.01);
Abstract

A processing system for a motorized mobile system includes at least one sensor to measure one or more kinematic states of an object and at least one processor to use at least one state estimation filter and at least one object kinematic model to predict a first kinematic state estimate of the object and output the first kinematic state estimate for use by at least one other process of the motorized mobile system. The processor uses the predicted first kinematic state estimate and the one or more measured kinematic states to determine a second kinematic state estimate of the object and uses the second kinematic state estimate as an input to the state estimation filter to predict another kinematic state estimate of the object.


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