Raven Industries, Inc.

Jeffrey Allen Van Roekel

John D Preheim

Yuri Sneyders

Alex John Weidenbach

Drew John Waltner

Joel Quentin Quanbeck

A device for steering an agricultural machine having independently steerable axles includes first and second steerable axle interface to couple with a first steering mechanism of a first steerable axle and a second a second steering mechanism of a second steerable axle. The device includes a planning module having a guidance path for the agricultural machine, and a steering control module to coordinate steering of the steering mechanisms. The steering control module includes a translational comparator to determine a translational difference between a location of the agricultural machine relative to the guidance path, an angular comparator to determine an angular difference between an angular orientation of the agricultural machine relative to the guidance path, and a translation steering controller to actuate the first and second steering mechanisms according to the translational difference. The device includes an angular steering controller to actuate the second steering mechanism according to the angular difference.

Power platform with four wheel steering/rear wheel steering

System and techniques for detecting a crop related row from an image are described herein. An image that includes several rows&#x2014;where the several rows including crop rows and furrows&#x2014;can be obtained. The image can be segmented to produce a set of image segments. A filter can be shifted across respective segments of the set of image segments to get a set of positions. A line can be fit members of the set of positions, the line representing a crop row or furrow.

Detecting crop related row from image

An agricultural vehicle monitoring system includes first and second noncontact sensors configured for coupling with an agricultural vehicle, where the first and second noncontact sensors are configured to sense respective first and second environmental characteristics for determining a position of the agricultural vehicle in a field. The system further includes a comparative vehicle monitor in communication with the first and second noncontact sensors. The comparative vehicle monitor includes a filter module to filter outputs of the first and second noncontact sensors based on an indicator of a relative quality of the output of each sensor. The comparative vehicle monitor additionally includes an evaluation module to determine a vehicle position of the agricultural vehicle relative to at least one of the first and second environmental characteristics according to filtered outputs of the first and second noncontact sensors.

Comparative agricultural obstacle monitor and guidance system and method for same

System and techniques for calibrating a crop row computer vision system are described herein. An image set that includes crop rows and furrows is obtained. Models of the field are searched to find a model that best fits the field. A calibration parameter is extracted from the model and communicated to a receiver.

Calibrating crop row computer vision system

System and techniques for adaptive color transformation to aid computer vision are described herein. Colors from an image are mapped into a multi-dimensional space to create a distribution of colors in the image. A line can be fit to the distribution. Here, the line includes an angle relative to a coordinate system of the multi-dimensional space. A transformation to colors can then be applied to the image based on the angle of the line. The transformation producing a reduced image where a color complexity of the original image is reduced.

Adaptive color transformation to aid computer vision

An agricultural vehicle monitoring system includes one or more noncontact sensors configured to sense multiple objects along a scanline. A comparative vehicle monitor is in communication with the one or more noncontact sensors. The comparative vehicle monitor is configured to provide a specified row width and to identify one or more crop rows from the scan line and determine one or more lengths of scan line segments between identified crop rows. The comparative vehicle monitor is further configured to determine a vehicle position including one or more of a vehicle angle or a vehicle location according to the specified row width and the one or more determined lengths of scan line segments between the identified crop rows.

System and techniques for detecting a crop related row from an image are described herein. An image that includes several rows where the several rows including crop rows and furrows can be obtained. The image can be segmented to produce a set of image segments. A filter can be shifted across respective segments of the set of image segments to get a set of positions. A line can be fit members of the set of positions, the line representing a crop row or furrow.

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Sioux Falls, SD, United States of America

Jeffrey Allen Van Roekel