Raven Industries, Inc.

Trimble Navigation Limited

Robert Leonard Nelson, Jr

Edwin Ernest Wilson

David A Fowler

John D Preheim

Clarence Walt Fowler

Robert C Bartmess

Scott Porter

James Darrell McCauley

Dale L Gambill

Daniel R Weber

Charles D Parker

System and techniques for an image filter based on row identification are described herein. A crop row center represented in an image of a crop row can be calculated. A filter corresponding to a set of expected crop characteristics of the crop row can be obtained. Elements in the image can then be categorized based on applying the filter to the image when the filter anchored on the crop row.

Image filter based on row identification

A system for determining a volume of loose material within a container comprises a support arm mountable above the container, an array of one or more sensors mounted to the support arm, wherein each of the one or more sensors is configured to determine a discrete distance measurement between the array and a surface of the loose material or a surface of the container, and at least one processor in communication with the array of one or more sensors, the processor configured to estimate a volume of the loose material in the container from discrete distance measurements determined by the one or more sensors of the array.

Method of sensing volume of loose material

A system for generating a non-visual notification of a machine condition includes a machine condition sensor configured to sense a machine condition. A notification generation controller is in communication with the machine condition sensor. The notification generation controller generates a notification according to the sensed machine condition. In a feedback configuration the notification generation controller compares an integral of a rate of change of the sensed machine condition with a threshold to trigger the generation of a notification. In a guidance configuration the notification generation controller uses the deviation of the machine condition from a guidance direction determined with a steering algorithm to control the generation of a notification. A non-visual notification generator is in communication with the notification generation controller and generates a non-visual notification based on the notification.

Non-visual navigation feedback system and method

System and techniques for optical flow sensing applications in agricultural vehicles are described herein. A plurality of digital images of an agricultural environment can be obtained from a sensor affixed to agricultural equipment. The plurality of digital images can include a first image and a second image, the second image being captured subsequent to the first image. A transformation of a landmark between the first image and the second image can be identified. A degree of motion for the agricultural equipment relative to an environmental target can be calculated based on the transformation of the landmark.

Optical flow sensing application in agricultural vehicles

An example includes a method to estimate a bias affecting an inertial sensor. The method can include monitoring a plurality of rate-of-turn samples, from the inertial sensor, in a sequence over time, wherein each of the plurality of rate-of-turn samples includes substantially the same actual bias value that is included in each of the plurality of other rate-of-turn samples. The method can include estimating the bias as a weighted average of the plurality of rate-of-turn samples. The method can include determining an adjusted rate-of-turn sample by subtracting the bias from an instant rate-of-turn sample of the plurality of rate-of-turn samples. The method can include putting out the adjusted rate-of-turn.

Rate-of-turn bias estimation for marine navigation

Systems and techniques for refined row guidance parameterization with Hough transform are described herein. An electronic representation of a field (ERF) can be received. A steering variable calculation can be performed by executing a cascaded Hough transform on the ERF. An intermediate value used in calculating the steering variable can be selected. A refined intermediate value can be identified from the intermediate value by measuring a difference between the intermediate value and an anchor value. The steering variable calculation can be adjusted using the refined intermediate value.

Refined row guidance parameterization with Hough transform

Leading vehicle position information can be used to determine a location and heading of one or more implements of a trailing vehicle in an implement train that includes the leading vehicle. In an example, the leading vehicle pulls one or more trailing vehicles, and information about the leading vehicle position or heading is used to update a function of one or more implements associated with trailing vehicles of the implement train. In an example, the present subject matter includes identifying a heading of a trailing vehicle based on its initial location, an intermediate location, and a destination location. In an example, the present subject matter includes identifying a speed of one or more points on a trailing vehicle. In some examples, the present subject matter includes determining a location, heading, or speed of multiple implements associated with multiple trailing vehicles.

System and method for determining implement train position

Systems and techniques for row guidance parameterization with Hough transform are described herein. An electronic representation of a field (ERF) can be received. The ERF can include a set of feature sets including one of a set of crop row features or a set of furrow features. A first parameter space can be produced by applying a slope-intercept Hough transform (SLIHT) to members of a feature set. Peaks in the first parameter space can be identified. A second parameter space can be produced by application of the SLIHT to the peaks. A vanishing point can be calculated based on a vanishing point peak in the second parameter space. A track-angle error can be calculated from the vanishing point.

Row guidance parameterization with hough transform

Row guidance parameterization with Hough transform

A rotation sensor assembly includes a rotated component rotatably coupled with a base. The rotation sensor assembly includes a transmitter and a receiver. The transmitter is coupled with the base or the rotated component. The transmitter generates a magnetic field including a sinusoidally time-varying dipole near-field corresponding to an excitation signal having a first phase value. The receiver is coupled with the other of the rotated component or the base. The receiver detects the magnetic field and generates a reception signal based on the magnetic field with a second phase value corresponding to a rotation angle of the rotated component relative to the base. The receiver is mechanically isolated from the transmitter. A rotation angle module is coupled with the transmitter. The rotation angle module, for instance a phase detector, measures the rotation angle of the rotated component based on the phase difference in the first and second phase values.

Steering position sensor and method for using the same

Guiding a leading vehicle according to a desired trailing vehicle path includes generating one or more proceeding paths for one or more intermediate locations along an implement train between a trailing vehicle first location and a leading vehicle second location. The proceeding paths generated with a propagation and transformation algorithm that propagates a preceding path of one of the first location, such as the desired trailing vehicle path, or one of one or more intermediate locations to an immediately proceeding location, and transforms the preceding path according to dimensional characteristics of the implement train. A second guiding path is generated for the leading vehicle second location with the algorithm based on the immediately preceding path of the intermediate location closest to the second location. The method facilitates guidance of the trailing vehicle along the desired trailing vehicle path without navigation markers on the implement train except for the leading vehicle.

Vehicle guidance based on tractor position

Method and system for determining a position of a platform using a set of range measurements between the platform and a set of known positions that avoids the frequent recalculation of square-roots in range predictions. The platform state estimate is updated by substituting the difference between the square of the range measurement and the square of the distance from the assumed position of the platform to the known position to which the range measurement corresponds scaled by the inverse twice distance between the predicted position of the platform and the known position, for each of the measurement residuals. The predicted state of the platform is updated until the platform state converges on a limit to a desired accuracy.

Unconventional range navigation system with efficient update process

A GPS navigation receiver channel tracks satellites' Doppler frequencies sequentially during the twenty milliseconds that the signal is coherent in each bit time of the navigation data modulation. It measures frequency by differencing the angles of signal-vector sums weighted by parabolic humps, exploiting the commutativity of linear processing operations to raise the signal-to-noise ratio before the nonlinear operation phase of detection.

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Austin, TX, United States of America

Robert Leonard Nelson, Jr