The Toro Company

Stephen Paul Elizondo Landers

Michael Jason Ramsay

Zachary Irvin Parker

David LaRose

Alexander Steven Frick

Jason Thomas Kraft

Ryan Douglas Ingvalson

Adam Richard Williams

Christopher Charles Osterwood

Eckhard Schwendemann

Matthew John Alvarado

David Ian Robinson

Brian Daniel Beyer

David Arthur Larose

Autonomous machine () navigation techniques include using simulation to configure camera () capture parameters. A method may include capturing image data of a scene, generating irradiance image data, determining at least one test camera capture parameter, determining a simulated scene parameter, and generating at least one updated camera capture parameter. Image data for camera capture configuration may be captured while the autonomous machine is moving. Camera () captures parameters may be used to capture images while the autonomous machine () is slowed or stopped, particularly in lowlight conditions.

Autonomous machine navigation in lowlight conditions

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.

Autonomous machine navigation and training using vision system

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Pittsburgh, PA, United States of America

Stephen Paul Elizondo Landers