A system, in particular a manufacturing system, the system including machines, especially stationary and mobile machines, and at least one vehicle and a control, the vehicle having at least one sensor for ascertaining the relative position of a person, in particular a sensor for ascertaining the distance between the vehicle and the person, and for ascertaining the angle between the driving direction of the vehicle and the connecting line between the person and the vehicle, the vehicle having a position acquisition means for sensing the position of the vehicle, in particular a GPS system or a triangulation system for ascertaining the position of the vehicle, the control including a means for ascertaining the safety zone around the person and the machines situated therein, a data transmission channel being provided between the control and the machines.

A work vehicle includes: an imaging device that captures an image in which a work target is shown; an image transmission unit that transmits the image captured by the imaging device to a control device; an operation signal reception unit that receives an operation signal from the control device; and an operation control unit that limits the operation signal according to a transmission status of the image.

A controller for transmitting control information necessary for autonomous driving to an autonomous driving vehicle is provided. The controller includes: a reception device configured to receive a signal transmitted from a wireless communication device included in the autonomous driving vehicle; a first transmission device configured to transmit first control information to the wireless communication device included in the autonomous driving vehicle; and a second transmission device configured to transmit information to a satellite based on a reception condition of the signal from the autonomous driving vehicle received by the reception device, the information being used by the satellite to transmit second control information to a satellite communication device included in the autonomous driving vehicle.

A computer-implemented method for controlling an excavation task by an autonomous excavation vehicle comprising a scanning device, the excavation task being described by a target map, the method comprising using an excavation vehicle control system for: a) according to data from the scanning device, maintaining a map representing current terrain; b) moving a sensor-equipped digging implement for executing an excavation operation; c) receiving data indicative of current terrain topography from the sensor; d) updating the maintained map according to the data indicative of current terrain topography; and e) calculating an excavation operation according to the difference between the maintained map and the target map.

An automatic control mode system for heavy machinery and a method for controlling heavy machinery for an automatic control mode is disclosed. The method may include: monitoring one or more conditions of one or more systems of the heavy machinery for the automatic control mode; determining whether at least one of the one or more conditions is met; and disabling the automatic control mode if at least one of the one or more conditions are met.

Various aspects directed towards controlling vehicles are disclosed. In a first aspect, a permission request is received from a remote device, and an authentication of the permission request is performed that depends on a distance between the vehicle and a pursuing vehicle. Control of a device on the vehicle is then granted to the remote device based on the authentication. In another aspect, an override permission request is received from a remote device, and an authentication of the override permission request is performed. Override control of a device on the vehicle is then granted to the remote device based on the authentication. In yet another aspect, permission to control a device on a vehicle is requested from a remote device, and an authentication of the remote device is performed to determine authorization to control the device. The device is then controlled from the remote device based on the authentication.

A computer-implemented method of operating an agricultural work machine is provided. The method includes initiating row sensing guidance for the agricultural work machine to guide steering of the agricultural work machine based at least one signal from a row sensor; obtaining contextual information; determining whether a row is present based on the contextual information; and selectively ignoring the at least one signal from the row sensor based on whether a row is present. An agricultural work machine and a control system for an agricultural work machine are also provided.

Methods, apparatus, systems and articles of manufacture are disclosed that provide an apparatus to analyze vehicle perspectives, the apparatus comprising a profile generator to generate a first profile of an environment based on a profile template and first data generated by a first vehicle; a data analyzer to: determine a difference between the first profile and a second profile obtained from a first one of one or more nodes in the environment; and in response to a trigger event, update the first profile based on the difference; and a vehicle control system to: in response to the trigger event, update a first perspective of the environment based on one or more of second data from the first one of the one or more nodes or the updated first profile; update a path plan for the first vehicle based on the updated first perspective; and execute the updated path plan.

A method for autonomous mower navigation includes performing a training operation for an area including identifying a GPS signal associated with a training apparatus, iteratively recording data associated geolocations of the training apparatus as the training apparatus moves along a trajectory through the area, smoothing the geolocation data associated with the trajectory, and storing the smoothed geolocation data. The method can include subsequent to the training operation, performing a greens association process including establishing a link between the autonomous mower and an RTK-GPS base, receiving by the autonomous mower correction data from the RTK-GPS base, and determining an approach angle to a work area, wherein the path the autonomous mower travels to the work zone is defined by the approach angle.

Various examples are directed to systems and methods for routing an autonomous vehicle. For example, a system may access temporal data comprising a first temporal data item. The first temporal data item may describe a first roadway condition, a first time, and a first location. The system may also access a routing graph that comprises a plurality of route components and determine that a first route component of the routing graph corresponds to the first location. The system may generate a constrained routing graph at least in part by modifying the first route component based at least in part on the first roadway condition. The system may additionally generate a route for an autonomous vehicle using the constrained routing graph; and cause the autonomous vehicle to begin traversing the route.