A management system includes a course data generation unit that generates course data for each of a plurality of unmanned vehicles such that loading work for the plurality of unmanned vehicles by a loader is sequentially performed on a work site where a plurality of the loaders operates; and a priority determination unit that determine a passage order at an intersection on the work site of the plurality of unmanned vehicles traveling according to the course data so as to reduce a total loading loss indicating a total of loss amounts in operation of each of the plurality of the loaders.

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.

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.

Systems and methods enable an autonomous vehicle to perform an iterative task of transferring material from a source location to a destination location, such as moving dirt from a pile, in a more efficient manner, using a combination of reinforcement learning techniques to select a motion path for a particular iteration and visual servo control to guide the motion of the vehicle along the selected path. Lifting, carrying, and depositing of material by the autonomous vehicle can also be managed using similar techniques.

An unmanned vehicle control method for setting a permitted area where traveling is permitted for each unmanned vehicle, the unmanned vehicle control method includes: acquiring unmanned vehicle data including position data of the unmanned vehicle; acquiring road surface condition data of a travel path on which the unmanned vehicle travels; and generating data including a permitted area in the travel path of the unmanned vehicle, a stop point in the permitted area, and a target traveling speed for the unmanned vehicle to stop at the stop point on a basis of the unmanned vehicle data that has been acquired, wherein the permitted area is set on a basis of the road surface condition data of a predetermined area including the stop point.

According to one embodiment, a system receives a captured image perceiving an environment of an autonomous driving vehicle (ADV) from an image capturing device of the ADV capturing a plurality of obstacles near the ADV. The system generates a first tunnel based on a width of a road lane for the ADV, where the first tunnel represents a passable lane for the ADV to travel through. The system generates one or more additional tunnels based on locations of the obstacles, where the one or more additional tunnels modify a width of the passable lane according to a level of invasiveness of the obstacles. The system generates a trajectory of the ADV based on the first and the additional tunnels to control the ADV according to the trajectory to navigate around the obstacles without collision.

The present application provides a method for autonomously controlling a vehicle performed by a control system of the vehicle on the basis of a mission received from a mission controller, the method comprising: receiving a mission comprising a set of instructions from the mission controller; validating the mission by checking whether the mission meets a first set of requirements; executing the mission if the mission meets the first set of requirements and rejecting the mission if the mission does not meet the first set of requirements.

A method for changing an orientation of a machine at a worksite includes controlling, by a controller, a movement of the machine from a first position to a second position along a first route; controlling, by the controller, a movement of the machine from the second position to a third position along a second route; and controlling, by the controller, a movement of the machine from the third position towards the first position along a third route, Each of the first route, the second route, and the third route define respective apexes and combinedly define a region therebetween. One or more of the apexes are directed inwards into the region.

A light detection and ranging (LIDAR) controller is disclosed. The LIDAR controller may determine, based on a position of an implement, a scan area of the LIDAR sensor, wherein the scan area has an increased point density relative to another area of a field of view, of the LIDAR sensor, that includes the implement. The LIDAR controller may cause the LIDAR sensor to capture, with the increased point density, LIDAR data associated with the scan area. The LIDAR controller may process the LIDAR data to determine whether an object of interest is in an environment of the machine that is associated with the scan area. The LIDAR controller may perform an action based on the environment of the machine.