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.

A control system for an autonomous agricultural system includes a display configured to display at least one control function associated with at least one operation. The display is configured to output a first signal indicative of a first input. The control system includes a controller comprising a processor and a memory. The controller is communicatively coupled to the display and configured to receive the first signal indicative of the first input and to send a second signal to the display indicative of instructions to display a second control in an unlocked state. The display is configured to output a third signal to the controller indicative of the second input. The controller is configured to receive the third signal and to output a fourth signal indicative of instructions to control the at least one operation of the autonomous agricultural system.

Auto-guidance of a mobile machine is provided that does not require a graphical user interface display. Human interactions with the auto-guidance system of a mobile machine are performed solely with one or more electromechanical switches of the auto-guidance system while the mobile machine is operating. A first point for auto-guidance of a mobile machine is set by an auto-guidance system in response to a first electromechanical switch input. A second point for auto-guidance of the mobile machine is set by the auto-guidance system in response to a second electromechanical switch input after movement of the mobile machine from the first point. The auto-guidance system activates auto-guidance of the mobile machine along a path defined by the first point and the second point. The setting of the first point, the setting of the second point, and the activating are performed by one or more hardware processors.

In one embodiment, an autonomous vehicle includes a controller and a control interface disposed in an enclosure on the side of the autonomous vehicle. The control interface includes a display communicatively coupled to the controller. The display is used to at least setup or control operation of an implement attached to the autonomous vehicle, setup or control operation of the autonomous vehicle, or both.

A work vehicle cooperation system includes: a master traveling track calculation unit that calculates a traveling track of a master work vehicle (1P) based on a detection position at which the master work vehicle (1P) was detected; a slave traveling target calculation unit that calculates a target traveling position of the slave work vehicle (1C) based on the traveling track of the master work vehicle (1P); a master parameter generation unit that generates a master work/driving parameter relating to work/driving executed by the master work vehicle (1P), the master work/driving parameter being linked with the detection position; a slave parameter generation unit that generates a slave work/driving parameter for the slave work vehicle (1C) based on the master work/driving parameter, the slave work/driving parameter being linked with the target traveling position for the slave work vehicle (1C); and a navigation control unit that navigates the slave work vehicle in an unmanned manner based on a detection position of the slave work vehicle (1C), the target traveling position, and the slave work/driving parameter.

A method and system for estimating surface roughness of a ground for an off-road vehicle to control ground speed comprises detecting motion data of an off-road vehicle traversing a field or work site during a sampling interval. A pitch sensor is adapted to detect pitch data of the off-road vehicle for the sampling interval to obtain a pitch acceleration. A roll sensor is adapted to detect roll data of the off-road vehicle for the sampling interval to obtain a roll acceleration. An electronic data processor or surface roughness index module determines or estimates a surface roughness index based on the detected motion data, pitch data and roll data for the sampling interval. The surface roughness index can be displayed on the graphical display to a user or operator of the vehicle, or applied to control or execute a ground speed setting of the vehicle.

A method of updating an all-attitude angle of an agricultural machine based on a nine-axis MEMS sensor includes the following steps: establishing an error model of a gyroscope, an electronic compass calibration ellipse model and a seven-dimensional EKF filtering model, and setting a parameter vector corresponding to a vehicle motional attitude (S1); acquiring data including an acceleration and an angular velocity of a motion of vehicle, and an geomagnetic field intensity in real time (S2); calculating an angle, a velocity, position information, and a course angle of the vehicle by established error model of the gyroscope and the electronic compass calibration ellipse model(S3); data-fusion processing the angle, the velocity, the position information and the course angle of the vehicle by the seven-dimensional EKF filtering model, and updating a motional attitude angle of the vehicle in real time. The steps of the method have a small error, high precision, and reliability.

A path planning system includes a path planning algorithm operable to receive a desired harvest width for each pass of a harvester implement, and a boundary of a harvest area to be harvested. The path planning algorithm determine a surface elevation of the harvest area within the boundary, which includes at least one elevation contour establishing a line of constant elevation. The path planning algorithm then defines a harvest path for the harvester implement to follow while harvesting the crop material. The harvest path is defined to substantially parallel the at least one elevation contour, and is incremented in elevation in a parallel manner based on the desired harvest width.

A robotic vehicle may be configured to incorporate multiple sensors to make the robotic vehicle capable of detecting grass by measuring edge data and/or frequency data. In this regard, in some cases, the robotic vehicle may include an onboard positioning module, a detection module, and a mapping module that may work together to give the robotic vehicle a comprehensive understanding of its current location and of the features or objects located in its environment. Moreover, the robotic vehicle may include sensors that enable the modules to collect and process data that can be used to identify grass on a parcel on which the robotic vehicle operates.

An arrangement for monitoring and or controlling the driving state of a self-propelled agricultural working machine comprising a variable-position interface for attaching an implement that is provided with a control device. Vehicle-specific data, a position signal regarding the position of the interface, and implement data regarding physical properties of an implement mounted on the interface can be supplied to the control device. The control device is operated to evaluate at least one the driving state of the working machine, taking into consideration the above-mentioned signals and data to control the working machine.