Autonomous return to dock and docking procedures includes a dock and an unmanned aerial vehicle (UAV). The dock includes a first fiducial and second fiducial. The UAV includes a camera, one or more processors, and one or more memories. The one or more processors configured to execute instructions stored in the one or more memories to determine to use the dock for a landing operation by processing a first image depicting the first fiducial, to determine a UAV placement for the landing operation at the dock by processing a second image depicting the second fiducial, and to perform the landing operation to land the UAV at the dock according to the UAV placement.

A system is provided for controlling a grain cart relative to a vehicle. The grain cart includes an edge extending between a front edge and a rear edge, and the vehicle includes a side edge extending between a front end and a rear end. The system comprises a ranging device and a controller. The ranging device is configured to determine a position and orientation of the side edge relative to the grain cart. The controller is configured to determine a front distance between the front edge of the grain cart and the side edge, determine a rear distance between the rear edge of the grain cart and the side edge, determine a maximum distance between the front distance and the rear distance, determine whether the maximum distance is greater than a maximum threshold, and if the controller determines that the maximum distance is greater than the maximum threshold, the controller is configured to steer the grain cart to reduce the maximum distance.

A patrol robot including a plurality of magnetic sensors for detecting a magnetic marker laid on a traveling road has at least two or more magnetic sensors arrayed on a sensor array line linearly extending along any direction. In the patrol robot, two sensor array lines are formed, and since at least any one sensor array line can cross with respect to a relative moving direction of the magnetic marker with a movement of the patrol robot, the magnetic marker can be detected with high reliability, irrespective of the moving mode.

A system is provided for controlling a grain cart relative to a grain truck. The grain truck includes a side edge extending between a front end and a rear end. The system comprises a ranging device and a controller. The ranging device is configured to determine a position and orientation of the side edge relative to the grain cart. The controller is configured to determine a path line parallel to the side edge, wherein the path line is a predetermined distance from the side edge, identify a goal point based on the path line, where the goal point a second predetermined distance from the front or rear end of the side edge, and plan a path for the grain cart to the goal point.

A system is provided for controlling a grain cart relative to a grain truck. The grain cart includes a grain tank and an unload auger configured to transfer crop material out of the grain tank. The grain truck includes a truck box extending from a first end to a second end. The truck box includes a top edge extending around the top of the truck box. The system comprises a ranging device and a controller. The ranging device is configured to identify a distance to the top edge of the truck box and identify a distance to an area in the truck box. The controller is configured to determine a position of the grain cart relative to the grain truck, and determine whether the grain cart is positioned near the first end of the truck box. If the controller determines that the grain cart is positioned near the first end of the truck box, the controller is configured to determine a fill level in the area based on the distance to the top edge of the truck box and the distance to the area in the truck box, determine whether the fill level exceeds a threshold, and if the controller determines that the fill level does not exceed the threshold, the controller is configured to start the unload auger.

An electric mobility vehicle on which a user can be seated to ride. The electric mobility vehicle includes a mobility body having a front wheel, a rear wheel, and a seat for the user, a controller provided in the mobility body, and a lower side sensor capable of emitting a detection wave from under a footrest surface for the user seated on the seat or from under the mobility body, the lower side sensor being capable of detecting an object to be avoided located in a vehicle front direction of the electric mobility vehicle by using the detection wave.

The present invention relates to a method for calibrating a coordinate system of an automated industrial truck, to a method for calibrating a coordinate system of a fleet of automated industrial trucks of the same vehicle type having uncalibrated coordinate systems, and to a system for carrying out one of these methods.

A vehicular system includes a measuring unit attached to a vehicle to detect a magnetic marker laid along a traveling road, a database storing position information of the magnetic marker, and a control unit that acquires the position information of the magnetic marker by referring to a storage area of the database. The database has stored therein position information of each magnetic marker to which a distance from a reference point on the traveling road as a starting point to each magnetic marker is linked. By referring to the database by using a distance traveled until the magnetic marker is detected after the vehicle passes over the reference point, position information of newly detected magnetic marker is acquired.

A method and an apparatus for determining a position of a shelf are provided. The method may include: obtaining a number of automated guided vehicles with shelf scanning devices; determining, based on the number of the automated guided vehicles, a scanning area of a place to which each automated guided vehicle belongs; determining, based on the scanning area, a scanning route of the scanning area to which each automated guided vehicle belongs; transmitting the scanning route of the scanning area to which the automated guided vehicle belongs, to the automated guided vehicle; and determining a position of a shelf in the scanning area to which the automated guided vehicle belongs based on scanning information of a shelf scanning device on the automated guided vehicle and position information of the automated guided vehicle.

A control device for a moving body according to the present disclosure is a control device for a moving body capable of recognizing and supporting a cargo handling device on which a package is placed and moving while estimating a self-location, and the control device is configured to, when causing the moving body to align and arrange multiple cargo handling devices at an arrangement location, acquire a position of a previous cargo handling device placed in advance at the arrangement location and control the moving body to place a next cargo handling device at a position determined based on the acquired position of the previous cargo handling device. Accordingly, it is possible to align and arrange multiple cargo handling devices at an arrangement location so that a gap is as small as possible by using a moving body capable of moving while estimating a self-location.