Abstract: A method of automatic labeling of images for supervised machine learning includes obtaining images of roadside objects with a camera mounted to a vehicle, recording a position and orientation of the vehicle within a defined coordinate system while obtaining the images recording position information for each roadside object with the same defined coordinates system as used while recording the position and orientation of the vehicle, and correlating a position of each of the obtained images of the roadside objects with the position information of each roadside object in view of the recorded position and orientation of the vehicle. The images are labeled to identify the roadside objects in view of the correlated position of each of the obtained images of the roadside objects.

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: 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: Drivable path plan systems and methods for autonomous vehicles disclosed herein may receive original path plan data, including a first path element tangentially connected to a second path element at a transition connection point. A drivable path plan may be calculated for the autonomous vehicle between the first path element and the second path element using a clothoid spline. An initial connection point may be identified, as well as an initial heading and an initial curvature along the first path element, and a final connection point, a final heading, and a final curvature along the second path element. The clothoid spline may be inserted between the initial connection point along the first path element and the final connection point along the second path element.

Abstract: A control system for a work vehicle includes a controller, a processor, and a memory that causes the processor to receive, via a sensor assembly, sensor signals and convert the sensor signals into a plurality of entries of a full measurement vector. The memory devices causes the processor to determine a first state vector using IMU Kalman filter, update a first subset of entries the full state vector, determine a second state vector using a spatial positioning Kalman filter, update a second subset of entries the full state vector based on the second state vector, determine a third state vector using a vehicle Kalman filter, update a third subset of entries of the plurality of entries of the full state vector based on the third state vector, and control movement of the work vehicle based on at least one of the first state vector, the second state vector, the third state vector, and the full state vector.

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: A method of automatic labeling of images for supervised machine learning includes obtaining images of roadside objects with a camera mounted to a vehicle, recording a position and orientation of the vehicle within a defined coordinate system while obtaining the images recording position information for each roadside object with the same defined coordinates system as used while recording the position and orientation of the vehicle, and correlating a position of each of the obtained images of the roadside objects with the position information of each roadside object in view of the recorded position and orientation of the vehicle. The images are labeled to identify the roadside objects in view of the correlated position of each of the obtained images of the roadside objects.

Abstract: An electronic control system for a work allows for control of steering despite movement of an implement that may support a load. Control may be based on vehicle position, velocity, acceleration, center of gravity, and heading. A control point is determined despite movement of the load, and may be based upon one or more of roll, yaw, and pitch of the vehicle. The vehicle may be of the type that allows for control only of wheel or track speed and rotational direction. A desired center of gravity is maintained while controlling an error between a desired vehicle trajectory and a determined trajectory in a closed loop manner.

Abstract: A control system for a work vehicle includes a controller, a processor, and a memory that causes the processor to receive, via a sensor assembly, sensor signals and convert the sensor signals into a plurality of entries of a full measurement vector. The memory devices causes the processor to determine a first state vector using IMU Kalman filter, update a first subset of entries the full state vector, determine a second state vector using a spatial positioning Kalman filter, update a second subset of entries the full state vector based on the second state vector, determine a third state vector using a vehicle Kalman filter, update a third subset of entries of the plurality of entries of the full state vector based on the third state vector, and control movement of the work vehicle based on at least one of the first state vector, the second state vector, the third state vector, and the full state vector.

Abstract: Drivable path plan systems and methods for autonomous vehicles disclosed herein may receive original path plan data, including a first path element tangentially connected to a second path element at a transition connection point. A drivable path plan may be calculated for the autonomous vehicle between the first path element and the second path element using a clothoid spline. An initial connection point may be identified, as well as an initial heading and an initial curvature along the first path element, and a final connection point, a final heading, and a final curvature along the second path element. The clothoid spline may be inserted between the initial connection point along the first path element and the final connection point along the second path element.

Abstract: Drivable path plan systems and methods for autonomous vehicles disclosed herein may receive original path plan data, including a first path element tangentially connected to a second path element at a transition connection point. A drivable path plan may be calculated for the autonomous vehicle between the first path element and the second path element using a clothoid spline. An initial connection point may be identified, as well as an initial heading and an initial curvature along the first path element, and a final connection point, a final heading, and a final curvature along the second path element. The clothoid spline may be inserted between the initial connection point along the first path element and the final connection point along the second path element.

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: 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: A control system for an agricultural vehicle includes a first transceiver configured to receive a first signal from a second transceiver of a target vehicle. The first signal is indicative of a first determined position and a first determined velocity of the target vehicle. The control system also includes a controller communicatively coupled to the first transceiver. The controller is configured to automatically control the agricultural vehicle by determining a target position and a target velocity of the agricultural vehicle based at least in part on the first determined position and the first determined velocity of the target vehicle, instructing an automated steering control system and an automated speed control system to direct the agricultural vehicle toward the target position, and instructing the automated steering control system and the automated speed control system to substantially maintain the target position and the target velocity upon substantially reaching the target position.

Abstract: Drivable path plan systems and methods for autonomous vehicles disclosed herein may receive original path plan data, including a first path element tangentially connected to a second path element at a transition connection point. A drivable path plan may be calculated for the autonomous vehicle between the first path element and the second path element using a clothoid spline. An initial connection point may be identified, as well as an initial heading and an initial curvature along the first path element, and a final connection point, a final heading, and a final curvature along the second path element. The clothoid spline may be inserted between the initial connection point along the first path element and the final connection point along the second path element.

Abstract: Drivable path plan systems and methods for autonomous vehicles disclosed herein may receive original path plan data, including a first path element tangentially connected to a second path element at a transition connection point. A drivable path plan may be calculated for the autonomous vehicle between the first path element and the second path element using a clothoid spline. An initial connection point may be identified, as well as an initial heading and an initial curvature along the first path element, and a final connection point, a final heading, and a final curvature along the second path element. The clothoid spline may be inserted between the initial connection point along the first path element and the final connection point along the second path element.

Abstract: An electronic control system for a work allows for control of steering despite movement of an implement that may support a load. Control may be based on vehicle position, velocity, acceleration, center of gravity, and heading. A control point is determined despite movement of the load, and may be based upon one or more of roll, yaw, and pitch of the vehicle. The vehicle may be of the type that allows for control only of wheel or track speed and rotational direction. A desired center of gravity is maintained while controlling an error between a desired vehicle trajectory and a determined trajectory in a closed loop manner.

Abstract: Drivable path plan systems and methods for autonomous vehicles disclosed herein may receive original path plan data, including a first path element tangentially connected to a second path element at a transition connection point. A drivable path plan may be calculated for the autonomous vehicle between the first path element and the second path element using a clothoid spline. An initial connection point may be identified, as well as an initial heading and an initial curvature along the first path element, and a final connection point, a final heading, and a final curvature along the second path element. The clothoid spline may be inserted between the initial connection point along the first path element and the final connection point along the second path element.

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: A control system for an agricultural vehicle includes a first transceiver configured to receive a first signal from a second transceiver of a target vehicle. The first signal is indicative of a first determined position and a first determined velocity of the target vehicle. The control system also includes a controller communicatively coupled to the first transceiver. The controller is configured to automatically control the agricultural vehicle by determining a target position and a target velocity of the agricultural vehicle based at least in part on the first determined position and the first determined velocity of the target vehicle, instructing an automated steering control system and an automated speed control system to direct the agricultural vehicle toward the target position, and instructing the automated steering control system and the automated speed control system to substantially maintain the target position and the target velocity upon substantially reaching the target position.