A computer-implemented method of operating an implement for a work machine as disclosed herein includes a calibration mode and an operation mode. In the calibration mode: at least one of one or more components of the implement may be rotated about at least one linkage joint corresponding to the at least one of the one or more components into one or more poses; for the one or more poses, the implement may be revolved about a frame of the work machine; output signals may be received from at least one sensor associated with the at least one of the one or more components; and at least one characteristic for the at least one of the one or more components may be tracked. In the operation mode, movement of the at least one of the one or more components may be based in part on the tracked at least one characteristic.

A method for controlling a work vehicle includes driving a first hydraulic pump and a second hydraulic pump by an engine to supply hydraulic fluid to a first hydraulic motor and a second hydraulic motor, respectively, to drive a first traveling device and a second traveling device, respectively. An operation state of a direction input device to operate a traveling direction of the work vehicle is detected. Based on the operation state detected, whether or not a traveling state of the work vehicle is a turning state. When it is determined that the traveling state is the turning state, a rotation command to decrease a target rotational speed of the engine from a first rotational speed to a second rotational speed is output.

A method for controlling a work vehicle includes driving a first hydraulic pump and a second hydraulic pump by an engine to supply hydraulic fluid to a first hydraulic motor and a second hydraulic motor, respectively, to drive a first traveling device and a second traveling device, respectively. An operation state of a direction input device to operate a traveling direction of the work vehicle is detected. Based on the operation state detected, whether or not a traveling state of the work vehicle is a turning state. When it is determined that the traveling state is the turning state, a rotation command to decrease a target rotational speed of the engine from a first rotational speed to a second rotational speed is output.

Systems and methods are disclosed herein for controlling cooling fans in a self-propelled work vehicle having a main frame supported by wheels or tracks. The cooling fans direct ambient air in accordance with at least one inlet in the main frame, and selectively operate in first and second opposing directions. A perception system is supported by the main frame and configured to provide perception data (e.g., perception data) corresponding to a field of vision which includes the at least one inlet and at least a portion of an associated working area. A controller obtains the perception data and automatically determines characteristics relating to contamination of the cooling system based at least On the perception data. The controller further generates output signals to the cooling fans based on at least one of the determined contaminant characteristics, for example a debris location, type, density, and/or quantity as relating to contamination of the cooling system.

Systems and methods are disclosed herein for controlling cooling fans in a self-propelled work vehicle having a main frame supported by wheels or tracks. The cooling fans direct ambient air in accordance with at least one inlet in the main frame, and selectively operate in first and second opposing directions. A perception system is supported by the main frame and configured to provide perception data (e.g., perception data) corresponding to a field of vision which includes the at least one inlet and at least a portion of an associated working area. A controller obtains the perception data and automatically determines characteristics relating to contamination of the cooling system based at least On the perception data. The controller further generates output signals to the cooling fans based on at least one of the determined contaminant characteristics, for example a debris location, type, density, and/or quantity as relating to contamination of the cooling system.

A vehicle moves through an environment (e.g., a farming, construction, mining, or forestry environment) and performs one or more actions in the environment. Portions of the environment may include moisture, such as puddles or mud patches. A control system associated with the vehicle may include a traversability model or a moisture model to help the vehicle operate in the environment with the moisture. In particular, the control system may employ the traversability model to reduce the likelihood of the vehicle attempting to traverse an untraversable portion of the environment, and the control system may employ the moisture model to reduce the likelihood of the vehicle performing an action that will damage a portion of the environment.

An example work machine control system includes target fill level determination logic configured to determine a target fill level for a container of an earth-moving work machine, fill level measurement logic configured to receive a sensor signal from a sensor that detects contents of the container and generate a measurement metric indicative of a current fill level of the container based on the sensor signal, and control logic configured to generate a machine control signal based on the measurement metric and the target fill level.

An example work machine control system includes target fill level determination logic configured to determine a target fill level for a container of an earth-moving work machine, fill level measurement logic configured to receive a sensor signal from a sensor that detects contents of the container and generate a measurement metric indicative of a current fill level of the container based on the sensor signal, and control logic configured to generate a machine control signal based on the measurement metric and the target fill level.

A monitoring and maintenance system that utilizes imperial and theoretical data to compare parts, vehicles, users, regions, wear intensity indexes over time and tracking information to provide a sophisticated data collection system for heavy-duty equipment or rental equipment. This tracking is designed to better the specifications, designs, training, preventative maintenance, and replacement wear understanding of fleet management.

A monitoring and maintenance system that utilizes imperial and theoretical data to compare parts, vehicles, users, regions, wear intensity indexes over time and tracking information to provide a sophisticated data collection system for heavy-duty equipment or rental equipment. This tracking is designed to better the specifications, designs, training, preventative maintenance, and replacement wear understanding of fleet management.