A GNSS drive control device includes: a power signal reception unit that is configured to receive a power-off signal for a GNSS controller, and a shutdown processing unit that is configured to perform shutdown processing of the GNSS controller after a predetermined time has elapsed from reception of the power-off signal.

Methods for controlling the traveling operation of a self-propelled ground compaction machine with the aid of a control unit which provides travel control signals to a travel drive system of the ground compaction machine. The ground compaction machine may alternatively be operated in an operator mode in which travel specifications specified by an operator via a manually operable input device are transmitted to the control unit and are transmitted by the latter in the form of travel control signals to the travel drive system of the ground compaction machine. A ground compaction machine, in particular a vibratory plate or a trench roller.

A machine may include an implement; one or more sensor devices; and a controller. The controller may be configured to receive, from the one or more sensor devices, data regarding a ground surface on which the machine is to perform a digging operation; transmit the data to one or more remote computing devices to cause the one or more remote computing devices to generate digging information based on the data; and receive the digging information from the one or more remote computing devices. The digging information may include information identifying a sequence of digging locations in an area of the ground surface and information identifying corresponding dumping locations. Based on the digging information, the controller may be configured to cause the machine to navigate to a digging location of the digging locations, and cause the implement to initiate the digging operation at the digging location.

A system and method of selective input confirmation for automated loading by a work vehicle comprising a main frame and a work attachment movable with respect to the main frame for loading/unloading material in a loading area external to the work vehicle during a loading process having loading stages. Location inputs are detected for the loading area respective to the main frame and/or work attachment. First user inputs correspond to selected automation for respective loading stages, for which detection routines are executed with respect to parameters of the loading area based on the detected location inputs. If second user inputs are determined to be required with respect to certain parameters of the loading area, the second user inputs are received and movement of the main frame and/or work attachment are controlled for automating the corresponding loading stages based at least in part thereon.

A method of area coverage planning for an autonomous vehicle includes, at a computer system, receiving information of a boundary of a work area, and laying a plurality of tracks within the boundary of the work area. The plurality of tracks is spaced apart from each other by a spacing. Laying the plurality of tracks includes, based on the information of the boundary of the work area, performing a multivariate optimization to: (i) determine an optimal direction of the plurality of tracks, and (ii) an optimal offset for a first track from the boundary, so as to minimize a total distance of the plurality of tracks. The method further includes generating a trajectory that is traversable by the autonomous vehicle to traverse the plurality of tracks.

A work system includes an operation device that transmits an operation signal, a work machine that operates on the basis of the operation signal, and a transport vehicle that outputs a traveling control signal in a case where a fault in communication between the operation device and the work machine occurs.

The present disclosure provides various aspects for mobile and automated processing utilizing additive manufacturing and the methods for their utilization. In some examples, discrete material formats for use in an Additive Manufacturing Array are disclosed. Methods of using the additive manufacturing robot, discrete materials, and the roadways produced with the additive manufacturing robot are provided. A combined function Addibot, with Additive Manufacturing capabilities, cleaning capabilities, line painting capabilities and seal coating capabilities which may be used in concert with a camera equipped aerial drone for design and characterization function is described.

According to an example aspect of the present disclosure, there is provided a method, including the steps of receiving a tunnel model of an underground tunnel system of a worksite, receiving a route point entry indicative of a route point position for a mine vehicle in the tunnel system, defining, for controlling obstacle detection for the mine vehicle, at least one lateral safety margin parameter on the basis of vehicle dimension data and processing the tunnel model in respect to the route point position, and associating the at least one lateral safety margin parameter with the route point position.

A navigation system for a host vehicle is provided. The system may comprise at least one processing device comprising circuitry and a memory. The memory includes instructions that when executed by the circuitry cause the at least one processing device to: receive a plurality of images acquired by a camera, the plurality of images being representative of an environment of the host vehicle; analyze the plurality of images to identify a presence in the environment of the host vehicle a navigation rule suspension condition; temporarily suspend at least one navigational rule in response to identification of the navigation rule suspension condition; and cause at least one navigational change of the host vehicle unconstrained by the temporarily suspended at least one navigational rule.

A remote operation support device 100 is provided that is for improving the work efficiency of a remote operation performed by an operator, without fogging a front window 425F of a work machine 40 that is remotely operated by the operator. The remote operation support device 100 includes: a meteorological data obtaining unit 103 that obtains meteorological data at a designated time; an intra-cab temperature estimation unit 104; an intra-cab humidity estimation unit 105; a fogging determination unit 106; and an anti-fogging control unit 107. The anti-fogging control unit 107 performs an anti-fogging process for preventing the front window 425F from being fogged when a determination result by the fogging determination unit 106 is affirmative.