Deere + Company

Case Corporation

Kansas State University Research Foundation

Shufeng Han

John Franklin Reid

Terence Daniel Pickett

Monte Andre Dickson

Jiantao Wei

Bingcheng Ni

Larry L Hendrickson

Francisco Rovira-Mas

Francisco Rovira-Más

Frederick William Nelson

Christopher D Turner

Jeffrey E Runde

Bryan Kirk Buerkle

Qiang R Liu

Steven A Duppong

An automatic turning control system for a work vehicle having a ground engaging traction device directed by a manual steering device. The automatic turning control system includes an electronic control unit (ECU), a traction device angle sensor configured to generate an angle signal representative of an angle of the traction device with respect to an axis of the work vehicle, and a vehicle guidance system. The ECU is configured to generate a manual path signal representing an actual path of the work vehicle based on the angle signal. The ECU is operatively connected to a vehicle guidance system and determines a learned path signal based on the manual path signal. The vehicle guidance system automatically directs the work vehicle along the learned path signal when the vehicle moves from a working area, to a non-working area, and back to the working area of a field.

Automatic end of row turning control system for a work vehicle by learning from operator

An automatic control system moves a vehicle so that it can be coupled to an implement. The vehicle has propulsion and steering controls which respond to electronic input signals. A visual target is mounted on the implement. Vehicle mounted cameras generate images of the target. A motion control unit receives and processes the images, and generates vehicle movement commands as a function of the images which are communicated to the propulsion and steering controls. The motion control unit includes a perception engine connected to the cameras, a controller connected to the perception engine, and a vehicle/operator interface which is connected to the controller, and to the propulsion and steering controls. The perception engine captures images from the cameras, un-distorts the images, and searches for the target. If the target is found, the perception engine recovers vehicle posture information and transmits said information to the controller.

Vehicle auto-motion control system

A system for controlling the position of an agricultural implement coupled to an agricultural vehicle comprises a control unit connected to a field topography database containing three-dimensional data of the topography of a field, a location signal generation arrangement providing location data of the position of the vehicle and/or the implement in the field, an implement position sensor arranged to sense the position of the implement with respect to the ground and to a positioning arrangement configured to move the implement in response to position control signals from the control unit. The control unit is operable to provide the control signals based upon a combination of actual position data received from the implement position sensor and expected required position change data that are derived from elevation data recalled from the field topography database based upon the location data.

Controlling the position of an agricultural implement coupled to an agricultural vehicle based upon three-dimensional topography data

A discriminator identifies windrow pixels associated with a windrow within a collected image. A definer defines a search space with respect to a vehicle. An evaluator determines respective spatial correlations between the defined search space and the windrow pixels for different angular displacements of the search space. An alignment detector or search engine determining a desired vehicular heading as a preferential angular displacement associated with a generally maximum spatial correlation between the defined search space and the windrow pixels. An offset calculator estimates an offset of the vehicle to a central point of the windrow or a depth axis to achieve the desired vehicle heading and desired position of the vehicle with respect to the windrow.

Method and system for vehicular guidance with respect to harvested crop

System for vehicular guidance with respect to harvested crop

Preliminary guidance data is determined for the vehicle during an evaluation time window. A vision module collects vision data from a vision module during the evaluation time window. Vision guidance data is determined from the collected vision data. A vision quality estimator estimates vision quality data for at least one of the vision data and the vision guidance data during the evaluation time window. The vision quality data is based on a regression path and density grid points. An adjuster adjusts the preliminary guidance data to a revised guidance data based on the vision guidance data such that the revised guidance data is registered with or generally coextensive with the vision guidance data, if the vision quality data exceeds a minimum threshold.

Method and system for guiding a vehicle with vision-based adjustment

A preliminary guidance data is determined for the vehicle during an evaluation time window. A vision module collects vision data from a vision module during the evaluation time window. Vision guidance data is determined from the collected vision data. A vision quality estimator estimates vision quality data for at least one of the vision data and the vision guidance data during the evaluation time window. The vision quality data is based on a cross correlations and an r-squared value. An adjuster adjusts the preliminary guidance data to a revised guidance data based on the vision guidance data such that the revised guidance data is registered with or generally coextensive with the vision guidance data, if the vision quality data exceeds a minimum threshold.

A system and method of guiding a vehicle comprises establishing elevation data and corresponding location data for a work area. A particular location of a vehicle within the work area is determined. Roll data and pitch data are estimated corresponding to the particular location. The vehicle is guided based upon the estimated roll data and the pitch data such that the vehicle follows a desired path.

Vehicular guidance system having compensation for variations in ground elevation

The method and system for vehicular guidance comprises an imaging device for collecting color image data to facilitate distinguishing crop image data (e.g., crop rows) from background data. A definer defines a series of scan line segments generally perpendicular to a transverse axis of the vehicle or of the imaging device. An intensity evaluator determines scan line intensity data for each of the scan line segments. An alignment detector (e.g., search engine) identifies a preferential heading of the vehicle that is generally aligned with respect to a crop feature, associated with the crop image data, based on the determined scan line intensity meeting or exceeding a maximum value or minimum threshold value.

Method and system for vehicular guidance using a crop image

A method and system for guiding a vehicle comprises a location determining receiver for collecting location data for the vehicle. A vision module collects vision data for the vehicle. A location quality estimator estimates the location quality data for the location data during an evaluation time window. A vision module estimates vision quality data for the vision data during the evaluation time window. A supervisor module selects a mixing ratio for the vision data and location data (or error signals associated therewith) based on the quality data.

Vision-aided system and method for guiding a vehicle

An imaging device collects color image data to facilitate distinguishing crop image data from background data. A definer defines a series of scan line segments generally perpendicular to a transverse axis of the vehicle or of the imaging device. An intensity evaluator determines scan line intensity data for each of the scan line segments. An alignment detector identifies a preferential heading of the vehicle that is generally aligned with respect to a crop feature, associated with the crop image data, based on the determined scan line intensity meeting or exceeding a maximum value or minimum threshold value. A reliability estimator estimates a reliability of the vehicle heading based on compliance with an intensity level criteria associated with one or more crop rows.

A method and system for guiding a vehicle comprises a location determining receiver for collecting location data for the vehicle. A vision module collects vision data for the vehicle. A location quality estimator estimates the location quality data for the location data during an evaluation time window. A vision module estimates vision quality data for the vision data during the evaluation time window. A supervisor module selects at least one of a location data weight and a vision data weight based on the quality data.

The method and system for vehicular guidance comprises an imaging device for collecting color image data. A definer defines a series of scan line segments generally perpendicular to a transverse axis of the vehicle or of the imaging device. An image parameter evaluator determines scan line image parameter data for each of the scan line segments. An alignment detector (e.g., search engine) identifies a preferential heading of the vehicle that is generally aligned with respect to a crop feature, associated with the image data, based on the determined scan line image parameter meeting or exceeding a maximum value or minimum threshold value.

The method and system for vehicular guidance comprises an imaging device for collecting color image data to facilitate distinguishing crop image data (e.g., crop rows) from background data. A definer defines a series of scan line segments generally perpendicular to a transverse axis of the vehicle or of the imaging device. An image parameter evaluator determines scan line image parameter data for each of the scan line segments. An alignment detector (e.g., search engine) identifies a preferential heading of the vehicle that is generally aligned with respect to a crop feature, associated with the crop image data, based on the determined scan line image parameter meeting or exceeding a maximum value or minimum threshold value. A reliability estimator estimates a reliability of the vehicle heading based on compliance with a criteria for scan line image parameter data associated with one or more crop rows.

Growing community of inventors

Johnston, IA, United States of America

Shufeng Han