A work machine includes: a vehicle body; a first imaging device that is disposed in the vehicle body and images a first imaging range; a second imaging device that is disposed in the vehicle body and images a second imaging range; and a communication device that transmits a first image in the first imaging range and a second image in the second imaging range to a remote place. At least a part of the second imaging range is set below the first imaging range.

A test system includes a master electronic control module (ECM) configured to receive user input for performing a test action. The master ECM determines one or more subsystem ECMs associated with the requested test action and a sequence of operations to be controlled by the subsystem ECMs to perform the requested test action. The master ECM provides instructions to the subsystem ECMs to perform the operations, along with parameters for those operations. The master ECM may determine whether a test action is appropriate to perform, based on sensor data, before instructing subsystem ECMs to perform the operations of the test action.

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.

This description provides an autonomous or semi-autonomous excavation vehicle that is capable determining a route between a start point and an end point in a site and navigating over the route. The sensors collect any or more of spatial, imaging, measurement, and location data to detect an obstacle between two locations within the site. Based on the collected data and identified obstacles, the excavation vehicle generates unobstructed routes circumventing the obstacles, obstructed routes traveling through the obstacles, and instructions for removing certain modifiable obstacles. The excavation vehicle determines and selects the shortest route of the unobstructed and obstructed route and navigates over the selected path to move within the site.

A work machine, such as a wheel loader, operating in a worksite within a wireless control system includes an operator-specific configuration of machine settings associated with an identification for the operator. As the work machine executes a work function, the operator identification, an initial operator-specific configuration, and sensed performance metrics are transmitted to a control system for the worksite. Linking the operator identification to one or both of the initial operator-specific configuration and the metrics, the control system analyzes performance of the work machine by the operator with increased granularity and flags potential irregularities. A modified operator-specific configuration to change operator performance is returned to the work machine and made to override the initial operator-specific configuration when the operator next takes control of the work machine.

A controller acquires a static path indicative of a target route of a transport vehicle. The static path includes a first endpoint and a second endpoint. The static path is set between a first work machine and a second work machine. The controller determines a first dynamic path that connects the first endpoint and a first target position for work of the first work machine. The controller determines a second dynamic path that connects the second endpoint and a second target position for work of the second work machine. The controller controls the transport vehicle so that the transport vehicle travels according to the static path, the first dynamic path, and the second dynamic path.

The present disclosure provides a work vehicle that allows detecting an error in an installation position of an antenna more flexibly than a conventional device. The work vehicle includes a control device 150. The control device 150 has a detection function F106, a calculation function F104, a calculation function F105, a calculation function F107, and an estimation function F110. The detection function F106 detects steady traveling based on a velocity, an acceleration, and an angular velocity of a vehicle. The calculation function F104 calculates a first vehicle direction based on installation information of a first antenna and a second antenna with respect to the vehicle. The calculation function F105 calculates a second vehicle direction based on a time change of position information of the first antenna when the steady traveling is detected. The calculation function F107 calculates a direction correction parameter for correcting the first vehicle direction based on the second vehicle direction. The estimation function F110 estimates a location and a posture of the vehicle based on the direction correction parameter and the first vehicle direction.

The present invention relates to a method for 1 for controlling transmission of data in a data communication network, the transmission of data being a transmission of data between a mining and/or construction machine and a network node of said data communication network, said transmission of data being carried out at least partly over a wireless communication link. The method comprises: —estimating a measure of the communication capacity of said wireless link, the estimation being based at least partly on a round-trip time of a transmission over said wireless communication link, and —adapting the data transmission load of said mining and/or construction machine on the wireless communication link on the basis of said measure. The invention also relates to a system and a mining and/or construction machine.

Process for clearing an autonomous machine including first evaluating operation at a high curvature offline location. Following acceptable operation, the machine is placed into service and evaluated at a worksite. Following acceptable worksite operation, online operating speed of the machine is increased incrementally, and performance reevaluated. Following acceptable performance characteristics, online operating speed of the machine continues to be increased and revaluated until the machine reaches maximum designated operating speed, or is evaluated as unacceptable, in which case the machine continues to operate at the last acceptable online operating speed and identifies the unacceptable performance characteristic for further evaluation.

The invention relates to method of operating a fleet of autonomous vehicles at a work site having a loading area at which a loading device is provided for loading material onto said autonomous vehicles. The method includes controlling a first vehicle to drive in a first driving mode until it reaches a start position of the loading area, deactivating the first driving mode by controlling the first vehicle to be positioned in the loading area in a second driving mode, controlling a second vehicle to come into contact with and to push the first vehicle along the loading area and past the loading device for loading material onto the first vehicle as the first vehicle passes by the loading device, and reactivating the first driving mode of the first vehicle when the second vehicle has pushed the first vehicle to an end position of the loading area.