Abstract: A system and method are provided for determining mistrack conditions in work vehicles such as excavators having first and second tracks. A controller uses data from onboard sensors (e.g., cameras, lidar) having an external field of view to detect a first position of, e.g., a track of the work vehicle relative to a first external point in a local reference system independent of a global reference system and to detect, upon the work vehicle having advanced from the detected first position a predetermined distance, a second position of the at least first component of the work vehicle relative to a second external point in the local reference system. The controller further determines an amount of mistrack error corresponding to a difference between the detected second position and an expected second position, and generates an output signal based on the determined amount of mistrack error.

Abstract: A system and method are provided for determining mistrack conditions in work vehicles such as excavators having first and second tracks. A controller uses data from onboard sensors (e.g., cameras, lidar) having an external field of view to detect a first position of, e.g., a track of the work vehicle relative to a first external point in a local reference system independent of a global reference system and to detect, upon the work vehicle having advanced from the detected first position a predetermined distance, a second position of the at least first component of the work vehicle relative to a second external point in the local reference system. The controller further determines an amount of mistrack error corresponding to a difference between the detected second position and an expected second position, and generates an output signal based on the determined amount of mistrack error.

Abstract: A work machine having a traveling body, a moveable structure coupled to the traveling body, a sensor operable to generate a sensory signal, and a controller. The controller is in communication with the sensor. The controller including a processor and a memory having a position control algorithm stored thereon. The processor is operable to execute the position control algorithm to receive a boundary command establishing a defined boundary; receive a sensory signal from the sensor related to the movement of the movable structure; determine a position of the movable structure relative to the traveling body; and limit movement of one of the ground-engaging mechanism of the traveling body or the actuator of the moveable structure as the traveling body moves along the travel path when the position of the movable structure is within an allowable distance from the defined boundary.

Abstract: A mobile machine includes a powertrain that propels the mobile machine about a worksite and a controllable subsystem configured to affect a surface of the worksite. The mobile machine includes a terrain sensor configured to sense a characteristic of the surface and generate sensor signals indicative of the characteristic of the surface. The mobile machine includes a control system configured to control the controllable subsystem, with a control signal, to affect the portion of the surface. The control system is configured to receive a sensor signal from the terrain sensor after the controllable subsystem has affected the portion of the surface, the sensor signal indicative of the characteristic of the portion of the surface after the controllable subsystem affects the portion of the surface and control the mobile machine based on the sensor signal and control signal.

Abstract: A battery starting and charging system that monitors battery and other sensor readings; tracks vehicle state, determines a charging voltage based on battery temperature and vehicle state; sets the alternator to charge the battery with the charging voltage; determines current collected parameters based on the battery and other sensor readings; and makes vehicle start predictions based on the current collected parameters. The system can also determine whether the vehicle actually started; add the current collected parameters to a set of start events if it started, and to a set of no-start events if it didn't start. The start prediction can also be based on the sets of start and no-start events for one or multiple vehicles. The collected parameters and start predictions can also be based on collected weather data. The system can use a local interconnect network (LIN) alternator with a LIN network.

Abstract: A battery starting and charging system that monitors battery and other sensor readings; tracks vehicle state, determines a charging voltage based on battery temperature and vehicle state; sets the alternator to charge the battery with the charging voltage; determines current collected parameters based on the battery and other sensor readings; and makes vehicle start predictions based on the current collected parameters. The system can also determine whether the vehicle actually started; add the current collected parameters to a set of start events if it started, and to a set of no-start events if it didn't start. The start prediction can also be based on the sets of start and no-start events for one or multiple vehicles. The collected parameters and start predictions can also be based on collected weather data. The system can use a local interconnect network (LIN) alternator with a LIN network.