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:
May. 17, 2022

Filed:

Aug. 07, 2019
Applicant:

The Toro Company, Bloomington, MN (US);

Inventors:

Alexander Steven Frick, Farmington, MN (US);

Jason Thomas Kraft, Stillwater, MN (US);

Ryan Douglas Ingvalson, Loretto, MN (US);

Christopher Charles Osterwood, Exeter, NH (US);

David Arthur LaRose, Pittsburgh, PA (US);

Zachary Irvin Parker, Pittsburgh, PA (US);

Adam Richard Williams, Mountain View, CA (US);

Stephen Paul Elizondo Landers, Pittsburgh, PA (US);

Michael Jason Ramsay, Verona, PA (US);

Brian Daniel Beyer, Pittsburgh, PA (US);

Assignee:

THE TORO COMPANY, Bloomington, MN (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G05D 1/02 (2020.01); G05D 1/00 (2006.01); G01C 21/32 (2006.01); A01D 34/00 (2006.01); A01D 34/82 (2006.01); A01D 34/69 (2006.01); A01D 34/78 (2006.01); A01D 101/00 (2006.01);
U.S. Cl.
CPC ...
G05D 1/0221 (2013.01); A01D 34/008 (2013.01); A01D 34/824 (2013.01); G01C 21/32 (2013.01); G05D 1/0061 (2013.01); G05D 1/0088 (2013.01); G05D 1/027 (2013.01); G05D 1/0246 (2013.01); G05D 1/0274 (2013.01); A01D 34/69 (2013.01); A01D 34/78 (2013.01); A01D 2101/00 (2013.01); G05D 2201/0208 (2013.01);
Abstract

Autonomous machine navigation techniques may generate a three-dimensional point cloud that represents at least a work region based on feature data and matching data. Pose data associated with points of the three-dimensional point cloud may be generated that represents poses of an autonomous machine. A boundary may be determined using the pose data for subsequent navigation of the autonomous machine in the work region. Non-vision-based sensor data may be used to determine a pose. The pose may be updated based on the vision-based pose data. The autonomous machine may be navigated within the boundary of the work region based on the updated pose. The three-dimensional point cloud may be generated based on data captured during a touring phase. Boundaries may be generated based on data captured during a mapping phase.


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