Abstract:
A system of software and hardware components is disclosed comprising a system designed to deploy, manage, and control unmanned aerial vehicles (UAVs). The integrated UAVs can be deployed from vehicles, buildings, and other types of fixed locations. The present disclosure enables users to deploy UAVs to perform pre-defined flight maneuvers and fly to pre-designated locations. The present disclosure also and affords the ability for users to maintain the UAVs flight control locally or transfer control of a deployed UAV to remotely located system operators.
Abstract:
Systems, methods, and devices are provided for providing flight response to flight-restricted regions. The location of an unmanned aerial vehicle (UAV) may be compared with a location of a flight-restricted region. If needed a flight-response measure may be taken by the UAV to prevent the UAV from flying in a no-fly zone. Different flight-response measures may be taken based on the distance between the UAV and the flight-restricted region and the rules of a jurisdiction within which the UAV falls.
Abstract:
A system and method is provided for commanding a payload of an aircraft. A plurality of flight segments, which comprise trajectory information of the aircraft, are received. A plurality of payload commands are generated using statements of payload intents. Each one of the payload commands are synchronized with at least one of the plurality of flight segments. The system and method express the operations to be performed by the payload onboard in order to achieve the established mission goals of the aircraft.
Abstract:
A micro unmanned aerial vehicle or drone (“UAV”) 10 is remotely controlled through an HMI, although this remote control is supplemented by and selectively suppressed by an on-board controller. The controller operates to control the generation of a sonar bubble that generally encapsulates the UAV. The sonar bubble, which may be ultrasonic in nature, is produced by a multiplicity of sonar lobes generated by specific sonar emitters associated with each axis of movement for the UAV. The emitters produce individual and beamformed sonar lobes that partially overlap to provide stereo or bioptic data in the form of individual echo responses detected by axis-specific sonar detectors. In this way, the on-board controller is able to interpret and then generate 3-D spatial imaging of the physical environment in which the UAV is currently moving or positioned. The controller is therefore able to plot relative and absolute movement of the UAV through the 3-D space by recording measurements from on-board gyroscopes, magnetometers and accelerometers. Data from the sonar bubble can therefore both proactively prevent collisions with objects by imposing a corrective instruction to rotors and other flight control system and can also assess and compensate for sensor drift.
Abstract:
A technique is directed to operating a UAV. The technique involves launching (or guiding) the UAV into flight. The technique further involves performing a series of aileron (or other control surface) deflection evaluations while the UAV is in flight. The technique further involves performing a UAV remedial operation in response to the series of aileron deflection evaluations indicating abnormal aileron behavior, e.g., the UAV can send a warning message to a ground control station (GCS), land the UAV at a target location, deploy a chute, and so on. Such operation enables detection of an unexpected change in the UAV's center of gravity, e.g., due to a blocked fuel bladder connection, icing on one side of the UAV, mechanical failure of an aileron, etc.
Abstract:
Technologies are generally described for controlling a flight path of a UAV based image capture system for solid modeling. Upon determining an initial movement path based on an estimate of a structure to be modeled, images of the structure to be modeled may be captured and surface hypotheses formed for unobserved surfaces based on the captured images. A normal vector and a viewing cone may be computed for each hypothesized surface. A set of desired locations may be determined based on the viewing cones for the entire structure to be modeled and a least impact path for the UAV determined based on the desired locations and desired flight parameters.
Abstract:
The presently disclosed technology is directed generally to unmanned vehicle systems and methods configured to satisfy a first set of export control regulations, such as those within the jurisdiction of one government entity or international body (e.g., the U.S. Department of Commerce) without falling within the purview of a second set of export control regulations, such as export control regulations within the jurisdiction of another government entity or international body (e.g., the U.S. Department of State). Through limited range of operation, limited payload types, limited capabilities, and tamper-proof or tamper-resistant features, embodiments of the unmanned vehicle system are designed to fall within the purview and under control of one agency and not within the purview and under control of another agency.
Abstract:
Equipment and methods which combine the use of wave powered vehicles and unmanned aerial vehicles (UAVs or drones). A UAV can be launched from a wave-powered vehicle, observe another vessel and report the results of its observation to the wave-powered vehicle and the waves-powered vehicle can report the results of the observation to a remote location. The UAV can land on water and can then be recovered by the wave-powered vehicle.
Abstract:
A method of controlling operation of an unmanned aerial vehicle having a flight control system (110) comprising: a flight controller (300) for implementing a flight control strategy; and an engine control unit (117) interfaced with said flight controller (300) for controlling engine (115) operation. An engine speed target is set for said flight control system in response to one or more signals communicated by said flight controller (300) to the engine control unit (117) which controls operation of engine (115) to achieve the engine speed target.
Abstract:
Disclosed herein are example embodiments for automated hazard handling routine engagement. For certain example embodiments, at least one machine, such as an unoccupied flying vehicle (UFV), may: (i) detect at least one motivation to engage at least one automated hazard handling routine of the UFV; or (ii) engage at least one automated hazard handling routine of a UFV based at least partially on at least one motivation. However, claimed subject matter is not limited to any particular described embodiments, implementations, examples, or so forth.