Provided is a protection device for protecting a sensor mounted on an unmanned aerial vehicle. The protection device includes a housing and a nozzle provided in the housing and connected to a container, and protects the sensor by discharging a content of the container from the nozzle. The protection device may further include an information acquisition unit for acquiring information from an outside, and discharge the content from the nozzle based on the information acquired by the information acquisition unit. The protection device may further include an environment detection unit configured to detect a change in environment, and discharge the content from the nozzle based on the change detected by the environment detection unit. The protection device may further include a foreign object detection unit configured to detect a foreign object, and discharge the content from the nozzle in response to the foreign object detection unit detecting the foreign object.

A method includes receiving a digital surface model of an area for unmanned aerial vehicle (UAV) navigation. The digital surface model represents an environmental surface in the area. The method includes determining, for each grid cell of a plurality of grid cells in the area, a confidence value of an altitude of the environmental surface at the grid cell and determining a terrain clearance value based at least on the confidence value of the altitude of the environmental surface at the grid cell. The method includes determining a route for a UAV through the area such that the altitude of the UAV is above the altitude of the environmental surface at each grid cell of a sequence of grid cells of the route by at least the terrain clearance value determined for the grid cell. The method includes causing the UAV to navigate through the area using the determined route.

A vehicle routing system includes a vehicle routing and analytics (VRA) computing device, one or more databases, and one or more vehicles communicatively coupled to the VRA computing device. The VRA computing device is configured to generate an optimal route for a vehicle to travel that maximizes potential revenue for operation of the vehicle, the optimal route including a schedule of a plurality of tasks, and generate analytics associated with operation of the vehicle. The VRA computing device is further configured to provide a management hub software application accessible by vehicle users associated with vehicles, tasks sources, and other users.

An autonomous vehicle system includes a body and a plurality of sensors coupled to the body and configured to generate a plurality of sensor measurements corresponding to the plurality of sensors. The system also includes a control unit configured to: receive inputs from a plurality of sources wherein the plurality sources comprise the plurality of sensors, the inputs comprise the plurality of sensor measurements; determine a confidence level of each input based on other inputs; prioritize, based on the confidence level associated with each input, the inputs; generate, based on the prioritization of the inputs and the confidence level, a combined input with a combined confidence level; and determine, based on the combined input and the combined confidence level, a mission task to be performed.

Computer implemented systems and methods for migrating datacenter data include providing a quantity of carriers having a data storage capacity, receiving, by the quantity of carriers, a quantity of data stored in a first data storage system having a first location and including erasure coded data blocks. The quantity of carriers migrates to a second data storage system having a second location; and transmits the quantity of data to the second data storage system.

A wide-area motion imaging system provides 360° persistent surveillance with a camera array that is small, light-weight, and operates at low power. The camera array is mounted on a tethered drone, which can hover at heights of up to 400′, and includes small imagers fitted with lenses of different fixed focal lengths. The tether provides power, communication, and a data link from the camera array to a ground processing server that receives, processes and stores the imagery. The server also collects absolute and relative position data from a global positioning system (GPS) receiver and an inertial measurement unit (IMU) carried by the drone. The server uses this position data to correct the rolling shutter effect and to stabilize and georectify the final images, which can be stitched together and shown to a user live or in playback via a separate user interface.

The present invention relates to a system for remote and/or autonomous cutting at least a portion of a harvested ligno trunk, at least a portion of a ligno trunk to be harvested, at least a portion of a ligno trunk during harvesting or at least a portion of a ligno trunk during transporting, said system comprising: a remotely and/or autonomously controlled Unmanned Aerial Vehicle (100), UAV, means for cutting at least a portion of a ligno trunk attachable to said UAV, means for detecting at least a portion of a ligno, means for detecting at least one ligno parameter of at least a portion of a ligno and/or at least one growing condition of at least a portion of a ligno, a base station (120) for communication with said UAV, and means configured for selecting at least one cutting position on at least a portion of a ligno trunk depending on the at least one detected ligno parameter and/or the at least one detected growing condition of at least a portion of a ligno.

A computer apparatus includes a touchscreen display. The computer apparatus generates a graphical user interface on the touchscreen display and receive user inputs via the touchscreen display. The graphical user interface includes symbology representing a flight path of multiple unmanned teamed assets from a current position to a current objective. The graphical user interface also includes symbology representing a card associated with each of the unmanned teamed assets. By the touchscreen display, an operator selects one of the unmanned teamed assets, for emphasis of the flight path. The flight paths of the non-selected unmanned teamed assets remain displayed when the selected flight path is emphasized. The operator may select the unmanned teamed asset by the flight path or by the unmanned teamed asset card.

Examples include an apparatus for delivering a payload. The apparatus includes a first autonomous vehicle and a second autonomous vehicle that are configured to be coupled to an aircraft. The first autonomous vehicle includes a wing and a first propulsion system configured to deliver the second autonomous vehicle to a first destination. The second autonomous vehicle includes a payload and a second propulsion system configured to deliver the payload to a second destination.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for controlling spraying of chemicals by an unmanned aerial vehicle (UAV). An unmanned aerial vehicle system includes one or more processors configured to perform operations of autonomously performing a flight path by the UAV and dispersing a chemical by the UAV along portions of the flight path. The UAV may include a chemical spray system having one or more spray booms with multiple nozzles for dispersing a chemical. The chemical spray system may include one or more tanks attached to the body of the UAV and a pump fluidly connected to the tanks to disperse chemical via the spray booms.