Abstract: A guidance system identifies a path on a field and then calculates a position and heading of a trailer relative to the path. The guidance system steers a vehicle connected to the trailer based on the calculated trailer position and heading to minimize the trailer positional error and more quickly and accurately align the trailer with the path. The guidance system may align the trailer with the path while steering the vehicle in a reverse direction and may steer the vehicle based on a predicted trailer position and heading.

Abstract: A calibration scheme measures roll, pitch, and yaw and other speeds and accelerations during a series of vehicle maneuvers. Based on the measurements, the calibration scheme calculates inertial sensor misalignments. The calibration scheme also calculates offsets of the inertial sensors and GPS antennas from a vehicle control point. The calibration scheme can also estimate other calibration parameters, such as minimum vehicle radii and nearest orthogonal orientation. Automated sensor calibration reduces the amount of operator input used when calibrating sensor parameters. Automatic sensor calibration also allows the operator to install an electronic control unit (ECU) in any convenient orientation (roll, pitch and yaw), removing the need for the ECU to be installed in a restrictive orthogonal configuration. The calibration scheme may remove dependencies on a heading filter and steering interfaces by calculating sensor parameters based on raw sensor measurements taken during the vehicle maneuvers.

Abstract: A navigation system aids a driver of a collection vehicle in keeping pace and distance with a lead harvester while collecting grain. The navigation system can be used for any leader-follower vehicle drive formation. A navigation system steers the head vehicle based on a continuously known position and attitude. Navigation data for the lead vehicle is broadcast to a following collection vehicle. A navigation system in the following vehicle processes the lead vehicle navigation data to determine a relative position and attitude. The navigation system in the following vehicle generates steering and speed commands based on the relative position and attitude to automatically drive to a designated target position alongside the lead vehicle. In one example, an artificial oscillation is induced into the target position to more evenly distribute material in the following vehicle.

Abstract: A guidance system identifies a path on a field and then calculates a position and heading of a trailer relative to the path. The guidance system steers a vehicle connected to the trailer based on the calculated trailer position and heading to minimize the trailer positional error and more quickly and accurately align the trailer with the path. The guidance system may align the trailer with the path while steering the vehicle in a reverse direction and may steer the vehicle based on a predicted trailer position and heading.

Abstract: A calibration scheme measures roll, pitch, and yaw and other speeds and accelerations during a series of vehicle maneuvers. Based on the measurements, the calibration scheme calculates inertial sensor misalignments. The calibration scheme also calculates offsets of the inertial sensors and GPS antennas from a vehicle control point. The calibration scheme can also estimate other calibration parameters, such as minimum vehicle radii and nearest orthogonal orientation. Automated sensor calibration reduces the amount of operator input used when calibrating sensor parameters. Automatic sensor calibration also allows the operator to install an electronic control unit (ECU) in any convenient orientation (roll, pitch and yaw), removing the need for the ECU to be installed in a restrictive orthogonal configuration. The calibration scheme may remove dependencies on a heading filter and steering interfaces by calculating sensor parameters based on raw sensor measurements taken during the vehicle maneuvers.

Abstract: A GNSS integrated multi-sensor guidance system for a vehicle assembly includes a suite of sensor units, including a global navigation satellite system (GNSS) sensor unit comprising a receiver and an antenna. An inertial measurement unit (IMU) outputs vehicle dynamic information for combining with the output of the GNSS unit. A controller with a processor receives the outputs of the sensor suite and computes steering solutions, which are utilized by vehicle actuators, including an automatic steering control unit connected to the vehicle steering for guiding the vehicle. The processor is programmed to define multiple behavior-based automatons comprising self-operating entities in the guidance system, which perform respective behaviors using data output from one or more sensor units for achieving the behaviors. A GNSS integrated multi-sensor vehicle guidance method is also disclosed.

Abstract: The present invention relates to a method for decomposing a task to be performed by at least one vehicle assembly. Initially, a higher-order information layer relating to the task and one or more rules for decomposing the higher-order information layer are provided. The method includes the step of decomposing, with a controller and at least partially, the higher-order information layer with the rules to form a lower-order information layer. The lower-order information layer relates to at least one subtask of the task. The present invention also relates to a method for composing the task.

Abstract: A GNSS integrated multi-sensor guidance system for a vehicle assembly includes a suite of sensor units, including a global navigation satellite system (GNSS) sensor unit comprising a receiver and an antenna. An inertial measurement unit (IMU) outputs vehicle dynamic information for combining with the output of the GNSS unit. A controller with a processor receives the outputs of the sensor suite and computes steering solutions, which are utilized by vehicle actuators, including an automatic steering control unit connected to the vehicle steering for guiding the vehicle. The processor is programmed to define multiple behavior-based automatons comprising self-operating entities in the guidance system, which perform respective behaviors using data output from one or more sensor units for achieving the behaviors. A GNSS integrated multi-sensor vehicle guidance method is also disclosed.

Abstract: The present invention relates to a controller for controlling the behavior of a vehicle assembly. The controller includes at least one processor coupled to ports. The ports are suitable for connecting to at least one sensor assembly and at least one actuator assembly of the vehicle assembly. The controller also includes memory containing a software product including computer readable instructions for execution by the processor. The processor executes the instructions so as to define automatons for performing respective behaviors when controlling the vehicle assembly. The present invention also relates to a method for controlling a vehicle assembly.

Abstract: The present invention relates to a method for controlling vehicle assemblies using respective controllers. Each controller is in communication with a database. Each controller is configured to perform the step of placing a bid in the database in relation to a task to be performed by the vehicle assembly. The controller then determines whether the placed bid was successful and, subsequent to determining that the placed bid was successful, controls the vehicle assembly to perform the task.