Abstract: Some embodiments of the invention include a method for updating an occlusion probability map. An occlusion probability map represents the probability that a given portion of the sensor field is occluded from one or more sensors. In some embodiments, a method may include receiving field of view data from a sensor system; producing a probabilistic model of the sensor field of view; and updating an occlusion probability map using the probabilistic model and field of view data.

Abstract: An autonomous vehicle is disclosed that includes a velocity sensor; a radar system; a digital storage medium; and a controller in communication with the digital storage medium, radar system, and the velocity sensor. The controller, for example, may retrieve map data from the digital storage medium; receive current radar data from the radar system; receive autonomous vehicle velocity data from the velocity sensor; identify radar data points in the current radar data that represent objects in motion; remove radar data points from the current radar data that represent objects in motion; and/or match the radar data with the map data to return location data.

Abstract: In one embodiment a method includes storing in non-volatile memory a library of equipment configuration code files, each equipment configuration code file including configuration code for configuration and control of a work vehicle, for configuration and control of an attachment to be carried or towed by the work vehicle, or for combined configuration and control of both the work vehicle and the attachment in combination, receiving an altered version of at least one equipment configuration code file, the altered version including OEM data provided by or altered by an original equipment manufacturer of the work vehicle or the attachment, dealer or distributor data provided by or altered by a dealer or distributor of the work vehicle or the attachment, and user data provided by or altered by a user of the work vehicle or attachment, and storing the altered version in the non-volatile memory of the library.

Abstract: A path controller for guiding an autonomous vehicle along a desired path may include an input module that may receive input signals such as, a normal error signal that indicates an off-path deviation of the autonomous vehicle relative to a desired path, a heading signal, and a curvature signal associated with the autonomous vehicle. The path controller may also include a curvature rate module that calculates a curvature rate output signal to guide the autonomous vehicle along the desired path and a communication module that communicates the curvature rate output signal to a steering control system.

Abstract: Systems and methods are disclosed for a semantic information sharing within a group of autonomous ground vehicles. In some embodiments, a method may include sensing an environment near a first autonomous vehicle to produce first environmental data; creating a first mathematical model representing the environment near the first autonomous vehicle based on the first environmental data; sending a request for additional environmental data to a second autonomous vehicle; receiving a second mathematical model from the second autonomous vehicle; and merging the second mathematical model with the first mathematical model.

Abstract: One embodiment describes a control system in an automation system including a first portion located at a first vehicle, which includes a first autonomous module that autonomously controls operation of the first vehicle to perform operations in a first area based at least in part on a first target operation result while the first portion is in an autonomous mode; and a second portion located at a second vehicle, in which the second portion includes a second autonomous module that autonomously controls operation of the second vehicle to perform operations in a second area based at least in part on a second target operation result while the second portion is in the autonomous mode and a first command module that determines the first target operation result and the second target operation result based at least in part on a global plan that indicates a total target operation result.

Abstract: One embodiment describes a control system in an automation system including a first portion located at a first vehicle, which includes a first autonomous module that autonomously controls operation of the first vehicle to perform operations in a first area based at least in part on a first target operation result while the first portion is in an autonomous mode; and a second portion located at a second vehicle, in which the second portion includes a second autonomous module that autonomously controls operation of the second vehicle to perform operations in a second area based at least in part on a second target operation result while the second portion is in the autonomous mode and a first command module that determines the first target operation result and the second target operation result based at least in part on a global plan that indicates a total target operation result.

Abstract: A slip control system for an off-road vehicle includes a control system configured to output a signal indicative of a first action if a magnitude of slippage of the off-road vehicle relative to a soil surface is greater than a first threshold value and less than or equal to a second threshold value. Furthermore, the control system is configured to output a signal indicative of a second action, different than the first action, if the magnitude of slippage is greater than the second threshold value.

Abstract: Some embodiments include an autonomous loader comprising a speed control system; a steering control system; a shovel control system; and a controller communicatively coupled with the speed control system, the steering control system, and the shovel control system. In some embodiments, the controller has code that instructs the shovel control system to place the shovel in a position to load the shovel; instructs the speed control system to move the autonomous loader into a load zone; determines whether the shovel has been filled with material from the load zone; instructs the shovel control system to raise the shovel a predetermined amount; determines a second time whether the shovel has been filled with material from the load zone; instructs the shovel control system to raise the shovel out of the load zone; and instructs the shovel control system to shake the shovel.

Abstract: 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.

Abstract: 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.

Abstract: In one aspect, a system for illuminating a field of view of a vision-based sensor mounted on an agricultural machine may include an agricultural machine having a vision-based sensor. The system may also include a light source configured to emit supplemental light to illuminate at least a portion of the field of view of the vision-based sensor. Furthermore, the system may include a controller communicatively the light source. The controller may configured to control an operation of the light source based on an input indicative of ambient light present within the field of view of the vision-based sensor.

Abstract: Vehicle dispatch system includes upper stage unit, lower stage unit and interface communication unit. The upper stage unit, configured to generate vehicle schedules, is communicatively connected to the interface communication unit. The lower stage unit, communicatively connected to the upper stage unit and the interface communication unit, has two storage units and a control unit. The first storage unit stores in a state representation multiple possible states having multiple possible actions. The control unit, which receives the schedule as a state representation, is configured to simulate states during an episode by selecting a state action and determining a reward value. The second storage unit stores the reward value and has a policy linked to one possible action for each state. The interface communication unit, operable to receive and transmit vehicle communications, is configured to access the policy and its associated action and communicate the action to a vehicle.

Abstract: A method for dispatching a plurality of vehicles operating in a work area among a plurality of destination locations and a plurality of source locations includes implementing linear programming that takes in an optimization function and constraints to generate an optimum schedule for optimum production, utilizing a reinforcement learning algorithm that takes in the schedule as input and cycles through possible environmental states that could occur within the schedule by choosing one possible action for each possible environmental state and by observing the reward obtained by taking the action at each possible environmental state, developing a policy for each possible environmental state, and providing instructions to follow an action associated with the policy.

Abstract: 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.

Abstract: A system includes an electronic control system for an agricultural system, including a controller configured to receive a first signal indicative of a mission of a work vehicle of the agricultural system. The controller is configured to determine a first desired path of travel of the work vehicle based on the mission. The controller is configured to output a second signal to the work vehicle indicative of the first desired path of travel, to receive a third signal indicative of a change event from the work vehicle or from an operator, to determine a response to the change event that facilitates completion of the mission, and to output a fourth signal indicative of the response to the work vehicle.

Abstract: The present disclosure provides systems and methods that measure crop residue in a field from imagery of the field. In particular, the present subject matter is directed to systems and methods that include or otherwise leverage a machine-learned crop residue classification model to determine a crop residue parameter value for a portion of a field based at least in part on imagery of such portion of the field captured by an imaging device. For example, the imaging device can be a camera positioned in a downward-facing direction and physically coupled to a work vehicle or an implement towed by the work vehicle through the field.

Abstract: One or more tangible, non-transitory, machine-readable media including instructions that cause a processor to receive a signal indicative of a residue coverage on a surface of an agricultural field from a sensor, and the sensor is positioned behind a harvester system relative to a direction of travel. The instructions also cause the processor to determine the residue coverage on the surface of the agricultural field based on the signal, and the residue coverage includes a percentage of the agricultural field that is covered by residue. Further, the instructions cause the processor to control a residue control system based on the residue coverage.

Abstract: In one aspect, a system for adjusting a sampling rate of a sensor mounted on an agricultural machine may include an agricultural machine and a sensor mounted on the agricultural machine, with the sensor being configured to capture data at a sampling rate. The system may also include a controller communicatively coupled to the sensor. The controller may be configured to receive an input indicative of an operational parameter of the agricultural machine and adjust the sampling rate at which the sensor captures data based on the received input.

Abstract: An off-road vehicle includes a body having at least one fender positioned over at least one wheel or track of the off-road vehicle. The at least one wheel or track is configured to engage a ground surface. The off-road vehicle also includes at least one spatial locating antenna positioned beneath the at least one fender. A top side of the at least one fender is positioned above the at least one spatial locating antenna relative to the ground surface, and the top side extends beyond a lateral extent and a longitudinal extent of the at least one spatial locating antenna.