Cnh Industrial America LLC

Autonomous Solutions, Inc.

Cnh Industrial Italia S.p.a.

John Arthur Mitsuru Petersen

Brian Robert Ray

Nathan Eric Bunderson

Matthew Donald Berkemeier

Jeffrey L Ferrin

Peter John Dix

Bret Todd Turpin

Daniel John Morwood

Brett Carson McClelland

Robert Dean Ashby

Brendan Paul McCarthy

A control system is configured to receive a first signal indicative of a current position of a vehicle and a second signal indicative of a desired path for the vehicle. The control system is configured to calculate a virtual path between the current position and a target position on the desired path and to output a third signal indicative of curvature command corresponding to an initial curvature of the virtual path to cause a steering control system of the vehicle to adjust a steering angle of the vehicle. The control is also configured to iteratively receive an updated current position, receive any updates to the desired path, calculate an updated target position, calculate an updated virtual path based on the updated current position and updated desired path, and output an updated curvature command corresponding to a respective initial curvature of the updated virtual path as the vehicle travels across a surface.

System and method for controlling a vehicle

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 swath tracking system for an off-road vehicle includes a control system with a processor and a memory. The control system is configured to receive a plurality of vehicle location points and a current vehicle state, wherein the current vehicle state comprises a current vehicle location, generate a planned vehicle path through one or more of the plurality of vehicle location points, generate a correction path from the current vehicle location to a point along the planned vehicle path ahead of the current vehicle location along a direction of travel, generate a blended path by blending the planned vehicle path and the correction path based at least in part on an assigned weight, wherein the assigned weight is based at least in part on a heading error, a distance between the current vehicle location and the planned path, or a combination thereof, and guide the off-road vehicle along the blended path.

Swath tracking system for an off-road vehicle

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Providence, UT, United States of America

John Arthur Mitsuru Petersen