Embodiments of the disclosure provide an unmanned vehicle system, including a plurality of unmanned vehicles. The plurality of unmanned vehicles include a first unmanned vehicle and a second unmanned vehicle. The first unmanned vehicle provides an information pattern, wherein the information pattern indicates a control information. The second unmanned vehicle acquires the control information by identifying the information pattern.

In accordance with an embodiment, a method of operating a vehicle within a vehicle swarm includes: receiving a sortie specification, the sortie specification specifying a desired behavior the vehicle swarm is to perform; obtaining a position identification within the vehicle swarm; and calculating a set of waypoints based on the received sortie specification and the position identification.

System and method are disclosed for multi-phase process of automated data capture for photogrammetry and 3D model building of an unknown object (311) in an unknown environment. Planner module (152) generates a flight plan (413) for a camera drone (110) to fly autonomously on a flight path along a virtual polygon grid (302) defined above the target object (311) during a survey phase. Model builder computer (153) receives a point cloud dataset (321) captured by LiDAR sensor on camera drone (301) during survey flight and constructs low resolution 3D mesh (331) of the target object (311). Planner module (152) generates a flight path (413) for camera drone inspection phase with virtual waypoints surrounding the target object (311) at a marginal distance from the surface defined by the low resolution 3D mesh (331). Model builder (153, 163) builds a high resolution 3D model (422) of the target object (311) using photogrammetry processing of high resolution images captured by camera drone (411, 412) during inspection phase.

A show-ride system includes a first moveable component configured to couple with and support a show structure; a second moveable component configured to couple with and support the show structure; and a manipulator of the first moveable component, wherein the manipulator transfers the show structure from the first movable component to the second moveable component. The show-ride system also includes detection circuitry to determine an initial position of the first moveable component and an initial position of the second moveable component. The show-ride system also includes a positional controller configured to determine adjustments to the initial position of the first moveable component and/or the initial position of the second moveable component and provide instructions regarding the adjustments to the first moveable component and/or the second moveable component for a transfer of the show structure while the first moveable component, the second moveable component, or both are in motion.

Embodiments of the present disclosure may include a method for optimizing flight of an unmanned aerial vehicle (UAV) including a payload, the method including receiving one or more human-initiated flight instructions. Embodiments may also include determining a UAV context based at least in part on Inertial Measurement Unit (IMU) data from the UAV. Embodiments may also include receiving payload identification data. Embodiments may also include accessing a laden flight profile based at least in part on the payload identification data. Embodiments may also include determining one or more laden flight parameters. In some embodiments, the one or more laden flight parameters may be based at least in part on the one or more human-initiated flight instructions, the UAV context, and the laden flight profile.

The method of managing unmanned aerial vehicle (UAV) patrols is a method for organizing and managing a fleet of UAVs for patrolling a geographic region for the detection of threats. During patrols, the UAVs visit two types of waypoints: critical waypoints and strategic waypoints. To establish the strategic waypoints, a set of seed points are generated using a beta probability distribution. Voronoi tessellation is applied to produce the set of strategic waypoints within the region of interest by using the set of seed points as an input. Each of the strategic waypoints has a set of coordinates on the three-dimensional occupancy map associated therewith. The set of coordinates associated with each of the strategic waypoints is a centroid of a corresponding Voronoi cell produced by the Voronoi tessellation. A priority score is assigned to each of the critical waypoints and each of the strategic waypoints.

A route planning system configured to create a route plan of a forage harvesting process chain. The forage harvesting process chain comprises a plurality of agricultural work machines which perform a forage harvesting process in a predetermined order. The forage harvesting process comprises successive process steps with each process step being performed by a number of the plurality of agricultural work machines. The route planning system is further configured to generate a common route plan for the plurality of agricultural work machines of the forage harvesting process chain and/or an individualized route plan for each agricultural work machine of the plurality of agricultural work machines.

First and second movers can make communication with each other by means of a communication system in which a signal-receiving unit of the first mover receives from a satellite a signal indicative of a position coordinate of itself, a control unit of the first mover makes a pattern indicative of a position coordinate of the first mover, a display unit of the first mover displays the pattern, an image pickup unit of the second mover photographs the pattern, and a control unit of the second mover deciphers the thus photographed pattern to thereby control a position of the second mover in accordance with the thus deciphered pattern.

A system for loading and transporting parcels includes: a sorter including a plurality of chutes for offloading parcels from the sorter; a plurality of totes; a plurality of self-driving vehicles (SDVs) configured to transport the plurality of totes between a loading area, an unloading area, and a queue area; and a control subsystem. The loading area includes a plurality of zones, with each zone corresponding to one or more chutes of the sorter. The control subsystem includes a controller, which is operably connected to the SDVs, and which selectively communicates instructions to dispatch SDVs to transport and replace totes in the loading area as they become filled to the predetermined capacity. A method for loading and transporting parcels in a sorting facility including a loading area, an unloading area, and a queue area is also disclosed.

A moving object operation management device is configured to set an exclusive section when a work of a certain moving object inhibits movement of a passage of another moving object, and to selectively issue a first operation instruction for moving one of the two moving objects to the next destination on a path bypassing the exclusive section for the other when the exclusive section for one of the two moving objects and the exclusive section for the other object are adjacent to each other and the movement on the shortest path to the next destination is inhibited by the other exclusive section, and a second operation instruction for moving one of the two moving objects to the next destination on the shortest path after the exclusive section for the other object is released, by comparing the arrival time to the one next destination when the instruction is followed.