Abstract:
A system is provided for maneuvering a payload in an air space constrained by one or more obstacles, and may include first and second aerial vehicles coupled by a tether to a ground station. Sensor systems and processors in the ground station and aerial vehicles may track obstacles and the tether's and the vehicles' positions and attitude to maneuver the payload and the tether to carry out a mission. The sensor system may include airborne cameras providing data for a scene reconstruction process and simultaneous mapping of obstacles and localization of aerial vehicles relative to the obstacles. The aerial vehicles may include a frame formed substantially of a composite material for preventing contact of the rotors with the tether segments.
Abstract:
An apparatus and method for replacing a power source element is provided. The apparatus includes a multiple compartment housing attached to a vehicle, power source elements, a controller, and a communications interface. The power source elements are placed within receptacles of the multiple compartment housing. Each power source element is electrically connected to an input power coupler for electrical connection to the vehicle such that each power source element is configured to supply power to the vehicle independently without requiring power supplied by any other power source element. The controller is configured to monitor a power level of each power source element and generate an associated power level reading. The communication interface is configured to retrieve each associated power level reading from the controller and to an external system.
Abstract:
An aerial vehicle having a vision based navigation system for capturing an arresting cable situated at a landing site may comprise a fuselage having a propulsion system; an arresting device coupled to the fuselage, the arresting device to capture the arresting cable at the landing site; a camera situated on the aerial vehicle; an infrared illuminator situated on the aerial vehicle to illuminate the landing site, wherein the arresting cable has two infrared reflectors situated thereon; and an onboard vision processor. The onboard vision processor may (i) generate a plurality of coordinates representing features of the landing site using an image thresholding technique, (ii) eliminate one or more coordinates as outlier coordinates using linear correlation, and (iii) identify two of the plurality of coordinates as the two infrared reflectors using a Kalman filter.
Abstract:
An aerial vehicle system for gathering data may comprise a Waypoint Location, wherein the Waypoint Location comprises an arresting cable; a Ground Control Station, wherein the Ground Control Station comprises a charging cable; and an aerial vehicle, wherein the aerial vehicle comprises an onboard battery, a capturing hook and a sensor payload for generating surveillance data. The aerial vehicle may be configured to autonomously travel between the Waypoint Location and the Ground Control Station. The aerial vehicle may be configured to couple with the arresting cable via the capturing hook. The aerial vehicle may be configured to electronically couple with the charging cable via the capturing hook to facilitate charging the aerial vehicle's onboard battery.
Abstract:
A virtual site survey method at a cell site utilizing three-dimensional (3D) models for remote performance includes obtaining a plurality of photographs of a cell site comprising one or more of a cell tower and one or more buildings and interiors thereof; subsequent to the obtaining, processing the plurality of photographs to define a three dimensional (3D) model of the cell site based on one or more objects of interest in the plurality of photographs; and remotely performing a site survey of the cell site utilizing a Graphical User Interface (GUI) of the 3D model to collect and obtain information about the cell site, the cell tower, the one or more buildings, and the interiors thereof.
Abstract:
A system and method for enhancing distribution logistics and surveillance ranges with unmanned aerial vehicles (UAV) and at least one dock in a dock network. The UAV remains in communication with the dock for enhancing distribution logistics of at least one package and increasing the range of surveillance for the unmanned aerial vehicle. From the dock, the UAV delivers the package to a destination point, obtains the package from a pick up point, recharges the unmanned aerial vehicle throughout the network of docks, and increases the range of distribution and surveillance. A logistics software controls the delivery and surveillance. A wireless communication device enables communication between the UAV and the dock. Light indicators indicate status of the package and the operational status of the UAV. A camera captures an image of the package in the dock. A motion detector detects the UAV for regulating access for loading/unloading and docking.
Abstract:
An aerial vehicle system for gathering data may comprise a Waypoint Location, wherein the Waypoint Location comprises an arresting cable; a Ground Control Station, wherein the Ground Control Station comprises a charging cable; and an aerial vehicle, wherein the aerial vehicle comprises an onboard battery, a capturing hook and a sensor payload for generating surveillance data. The aerial vehicle may be configured to autonomously travel between the Waypoint Location and the Ground Control Station. The aerial vehicle may be configured to couple with the arresting cable via the capturing hook. The aerial vehicle may be configured to electronically couple with the charging cable via the capturing hook to facilitate charging the aerial vehicle's onboard battery.
Abstract:
Short takeoff and landing aircraft are disclosed. An example fixed wing aircraft includes a primary powertrain to provide power to a propulsion unit, a secondary powertrain to provide power to the propulsion unit, and a detachable power coupling to transfer power to the secondary powertrain from a source external to the fixed wing aircraft during takeoff.
Abstract:
A technique is introduced for autonomous landing by an aerial vehicle. In some embodiments, the introduced technique includes processing a sensor data such as images captured by onboard cameras to generate a ground map comprising multiple cells. A suitable footprint, comprising a subset of the multiple cells in the ground map that satisfy one or more landing criteria, is selected and control commands are generated to cause the aerial vehicle to autonomously land on an area corresponding to the footprint. In some embodiments, the introduced technique involves a geometric smart landing process to select a relatively flat area on the ground for landing. In some embodiments, the introduced technique involves a semantic smart landing process where semantic information regarding detected objects is incorporated into the ground map.
Abstract:
Management of available energy among multiple drones is provided by identifying tasks to be completed by the multiple drones, and determining energy requirements of one or more drones of the multiple drones to facilitate completing one or more tasks of the tasks to be completed by the multiple drones. Further, the approach includes identifying an energy sharing approach for completion of the task(s) by the drone(s) where one or more other drones of the multiple drones transfer energy in transit to the drone(s) to facilitate completion of the task(s). In operation, the multiple drones may be detachably coupled, and the approach may include implementing the energy sharing approach by transferring energy from the other drone(s) to the drone(s) to facilitate completion of the task(s), for instance, prior to decoupling of the other drone(s) from the drone(s).