Autonomous Solutions, Inc.

Cnh Industrial America LLC

Cnh Industrial Canada, Ltd.

Jeffrey L Ferrin

Taylor Chad Bybee

James Wayne Henry

John Henry Posselius

Bret Todd Turpin

Luca Ferrari

Matthew Donald Berkemeier

Michael G Hornberger

John Arthur Mitsuru Petersen

Brett Thayn

Gary Ellingson

Michael Hornberger

Some embodiments of the invention include a method for updating an occlusion probability map. An occlusion probability map represents the probability that a given portion of the sensor field is occluded from one or more sensors. In some embodiments, a method may include receiving field of view data from a sensor system; producing a probabilistic model of the sensor field of view; and updating an occlusion probability map using the probabilistic model and field of view data.

Point cloud occlusion mapping for autonomous vehicles

An autonomous vehicle is disclosed that includes a velocity sensor; a radar system; a digital storage medium; and a controller in communication with the digital storage medium, radar system, and the velocity sensor. The controller, for example, may retrieve map data from the digital storage medium; receive current radar data from the radar system; receive autonomous vehicle velocity data from the velocity sensor; identify radar data points in the current radar data that represent objects in motion; remove radar data points from the current radar data that represent objects in motion; and/or match the radar data with the map data to return location data.

Localization system for autonomous vehicles using sparse radar data

In one aspect, a system for illuminating a field of view of a vision-based sensor mounted on an agricultural machine may include an agricultural machine having a vision-based sensor. The system may also include a light source configured to emit supplemental light to illuminate at least a portion of the field of view of the vision-based sensor. Furthermore, the system may include a controller communicatively the light source. The controller may configured to control an operation of the light source based on an input indicative of ambient light present within the field of view of the vision-based sensor.

System and method for illuminating the field of view of a vision-based sensor mounted on an agricultural machine

In one aspect, a system for adjusting a sampling rate of a sensor mounted on an agricultural machine may include an agricultural machine and a sensor mounted on the agricultural machine, with the sensor being configured to capture data at a sampling rate. The system may also include a controller communicatively coupled to the sensor. The controller may be configured to receive an input indicative of an operational parameter of the agricultural machine and adjust the sampling rate at which the sensor captures data based on the received input.

System and method for adjusting the sampling rate of a sensor mounted on an agricultural machine

A control system for a work vehicle includes a controller, a processor, and a memory that causes the processor to receive, via a sensor assembly, sensor signals and convert the sensor signals into a plurality of entries of a full measurement vector. The memory devices causes the processor to determine a first state vector using IMU Kalman filter, update a first subset of entries the full state vector, determine a second state vector using a spatial positioning Kalman filter, update a second subset of entries the full state vector based on the second state vector, determine a third state vector using a vehicle Kalman filter, update a third subset of entries of the plurality of entries of the full state vector based on the third state vector, and control movement of the work vehicle based on at least one of the first state vector, the second state vector, the third state vector, and the full state vector.

Kalman filter for an autonomous work vehicle system

An electronic control system for a work allows for control of steering despite movement of an implement that may support a load. Control may be based on vehicle position, velocity, acceleration, center of gravity, and heading. A control point is determined despite movement of the load, and may be based upon one or more of roll, yaw, and pitch of the vehicle. The vehicle may be of the type that allows for control only of wheel or track speed and rotational direction. A desired center of gravity is maintained while controlling an error between a desired vehicle trajectory and a determined trajectory in a closed loop manner.

System and method for autonomous steering control of work vehicles

A vehicle control system for causing a follower vehicle to follow a leader may have a tether system mounted to the follower vehicle. The tether system may include a tether having an end adapted to be attached to the leader, a length sensor, and an angle sensor. A path tracking system operatively associated with the tether system determines a path traveled by the leader. A path control system operatively associated with the path tracking system and the follower vehicle causes the follower vehicle to follow the path traveled by the leader. A spacing control system operatively associated with the path tracking system and the follower vehicle causes the follower vehicle to maintain a predetermined spacing between the follower vehicle and the leader.

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Smithfield, UT, United States of America

Jeffrey L Ferrin