Abstract: 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.

Abstract: The present invention is a method for providing guidance towards a far-point position for a vehicle implementing a satellite-based guidance system. The method includes capturing an image. The method further includes providing the image in a digital format to an algorithm. The method further includes isolating far-point pixelized data of the provided image. The method further includes generating data for causing a steering control system of the vehicle implementing the satellite-based guidance system to maintain the vehicle on a straight-line path towards the far-point position.

Abstract: 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.

Abstract: 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.

Abstract: The present invention is a method for providing guidance towards a far-point position for a vehicle implementing a satellite-based guidance system. The method includes capturing an image. The method further includes providing the image in a digital format to an algorithm. The method further includes isolating far-point pixelized data of the provided image. The method further includes generating data for causing a steering control system of the vehicle implementing the satellite-based guidance system to maintain the vehicle on a straight-line path towards the far-point position.

Abstract: A method and system for guiding a-vehicle comprises a location module for collecting location data for the vehicle. A vision module collects vision data for the vehicle. A maximum allowable correction duration and a maximum allowable vision-derived displacement are established for correction of a position of a vehicle. A location quality estimator estimates location quality data for the corresponding collected location data during an evaluation time window. A vision module estimates vision quality data for the corresponding collected vision data during the evaluation time window. A selector selects the application of location data or vision data based on the quality data and at least one of the maximum allowable correction duration and the maximum allowable vision-derived displacement for the evaluation time window or for an application interval trailing the evaluation time window.

Abstract: A method and system for guiding a vehicle comprises a location module (e.g., location-determining receiver) for collecting preliminary location data for the vehicle. A vision module collects vision-derived location data for the vehicle during an evaluation time window. A location quality estimator estimates location quality data for the corresponding collected preliminary location data during an evaluation time window. A vision module estimates vision quality data for the corresponding collected vision-derived location data during the evaluation time window. A adjuster adjusts the preliminary location data to a revised location data based on the vision-derived location data such that the revised location data is registered with or generally coextensive with the vision-derived location data, if the vision quality data exceeds the minimum threshold level.

Abstract: 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.

Abstract: 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.

Abstract: The entire right, title and interest in and to this application and all subject matter disclosed and/or claimed therein, including any and all divisions, continuations, reissues, etc., thereof are, effective as of the date of execution of this application, assigned, transferred, sold and set over by the applicant(s) named herein to Deere & Company, a Delaware corporation having offices at Moline, Ill. 61265, U.S.A., together with all rights to file, and to claim priorities in connection with, corresponding patent applications in any and all foreign countries in the name of Deere & Company or otherwise.

Abstract: 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.

Abstract: 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.

Abstract: A method and system for guiding a vehicle comprises a location module (e.g., location-determining receiver) for collecting preliminary location data for the vehicle. A vision module collects vision-derived location data for the vehicle during an evaluation time window. A location quality estimator estimates location quality data for the corresponding collected preliminary location data during an evaluation time window. A vision module estimates vision quality data for the corresponding collected vision-derived location data during the evaluation time window. A adjuster adjusts the preliminary location data to a revised location data based on the vision-derived location data such that the revised location data is registered with or generally coextensive with the vision-derived location data, if the vision quality data exceeds the minimum threshold level.

Abstract: A method and system for guiding a-vehicle comprises a location module for collecting location data for the vehicle. A vision module collects vision data for the vehicle. A maximum allowable correction duration and a maximum allowable vision-derived displacement are established for correction of a position of a vehicle. A location quality estimator estimates location quality data for the corresponding collected location data during an evaluation time window. A vision module estimates vision quality data for the corresponding collected vision data during the evaluation time window. A selector selects the application of location data or vision data based on the quality data and at least one of the maximum allowable correction duration and the maximum allowable vision-derived displacement for the evaluation time window or for an application interval trailing the evaluation time window.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: An automatic vision guidance system for an agricultural vehicle is disclosed and described. The vision guidance system uses a K-means clustering algorithm in image processing to distinguish between crop and non-crop features. The vision guidance system utilizes moment algorithms to determine the location and orientation of crop rows, from which desired wheel angles are determined and steering is commanded. The vision guidance system may adjust the location and orientation of visually determined crop rows according to a predetermined distance between crop rows. Further, the vision guidance system may utilize a redundant number of regions of interest in determining crop row locations and orientations.

Abstract: A process for determining the health of crops in a field and for correcting deficiencies in the health of the crops is disclosed. The process includes georeferencing aerial photographs of at least a portion of the field, the aerial photographs having a particular spatial resolution; determining the green plane in the aerial photographs thus taken; preparing a relative greenness map of the field based upon the nitrogen reference area, the relative greenness map providing crop status information having spatial resolution equivalent to the spatial resolution of the aerial photographs; converting the relative greenness map to a nitrogen recommendation map having spatial resolution equivalent to the spatial resolution of the photographs; and applying nitrogen to the field according to the nitrogen recommendation map, whereby the nitrogen is applied to the field without loss of spatial information. A process for treating crops is also disclosed.

Abstract: An automatic vision guidance system for an agricultural vehicle is disclosed and described. The vision guidance system uses a K-means clustering algorithm in image processing to distinguish between crop and non-crop features. The vision guidance system utilizes moment algorithms to determine the location and orientation of crop rows, from which desired wheel angles are determined and steering is commanded. The vision guidance system may adjust the location and orientation of visually determined crop rows according to a predetermined distance between crop rows. Further, the vision guidance system may utilize a redundant number of regions of interest in determining crop row locations and orientations.