Abstract:
An unmanned aerial vehicle comprising at least one rotor motor. The rotor motor is powered by a micro hybrid generation system. The micro hybrid generator system comprises a rechargeable battery configured to provide power to the at least one rotor motor, a small engine configured to generate mechanical power, a generator motor coupled to the small engine and configured to generate AC power using the mechanical power generated by the small engine, a bridge rectifier configured to convert the AC power generated by the generator motor to DC power and provide the DC power to either or both the rechargeable battery and the at least one rotor motor, and an electronic control unit configured to control a throttle of the small engine based, at least in part, on a power demand of at least one load, the at least one load including the at least one rotor motor.
Abstract:
In one embodiment the present disclosure provides a robotic updating apparatus that includes mapping circuitry to provide movement instructions, the mapping circuitry including map data; wherein the map data includes a defined area for the robotic updating apparatus; movement circuitry to receive the movement instructions and to control movement of the robotic apparatus within the defined area; wherein movement is based on, at least in part, the movement instructions; device discovery circuitry to discover at least one target device within the defined area; and update circuitry to provide update for at least one target device; wherein the device discovery circuitry also to communicate the update to the at least one target device.
Abstract:
Systems and methods for providing a series of multiuse UAV docking stations. The docking stations can be networked with a central control and a plurality of UAVs. The docking stations can include a number of services to facilitate both UAV guidance and maintenance and community acceptance and benefits. The docking stations can include package handling facilities and can act as a final destination or as a delivery hub. The docking stations can extend the range of UAVs by providing recharging/refueling stations for the UAVs. The docking stations can also include navigational aid to guide the UAVs to the docking stations and to provide routing information from the central control. The docking stations can be incorporated into existing structures such as cell towers, light and power poles, and buildings. The docking stations can also comprise standalone structures to provide additional services to underserved areas.
Abstract:
Flight path determination for unmanned aerial vehicles (UAVs) in which three-dimensional coverage information, corresponding to a wireless network, is used to optimize the flight path to ensure that the UAVs maintain network coverage throughout the flight. The flight path information may be provided as a service to UAV operators. In one implementation, network coverage for a cellular network may be mapped in a three-dimensional manner. That is, the radio signal strength of the network may be mapped at various heights that correspond to heights at which UAVs are likely to fly.
Abstract:
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for an unmanned aerial system inspection system. One of the methods is performed by a UAV and includes obtaining, from a user device, flight operation information describing an inspection of a vertical structure to be performed, the flight operation information including locations of one or more safe locations for vertical inspection. A location of the UAV is determined to correspond to a first safe location for vertical inspection. A first inspection of the structure is performed is performed at the first safe location, the first inspection including activating cameras. A second safe location is traveled to, and a second inspection of the structure is performed. Information associated with the inspection is provided to the user device.
Abstract:
A system and method for power management aboard an unmanned aerial vehicle (UAV) configured to follow a subject based on images captured by an onboard camera includes a power monitor that determines if available power from the UAV's onboard batteries has dropped below predetermined thresholds. If a low power level is detected, the power management system may divert power from non-essential systems to the attitude control system to keeping the UAV aloft. If a critical power level is detected, the power management system may shut down other UAV subsystems so that the attitude control system can safely land the UAV. The power management system may send an alert to a smartphone or other device carried by the subject. Position sensors of the subject's device may be used to interpolate the position of the UAV based on the subject's own position for recovery of the UAV.
Abstract:
Disclosed is a system and method for facilitating testing of a plurality of devices using a drone. At first, a locating module locates position of the drone relative to the plurality of devices. Further, a receiving module receives an image, of a device of the plurality of devices, from image capturing unit of the drone. Then, a comparing module compares the image with a reference image corresponding to the device. Based on the comparison, a determining module determines an action to be performed for testing the device. Further, a facilitating module facilitates the testing by enabling a snout associated with the drone to perform the action on the device.
Abstract:
An unmanned aerial vehicle (UAV) such as a drone, quadcopter or octocopter having a projector on board for projecting information into physical space such as onto objects or locations while the UAV is in flight, and further with the position and orientation (i.e., the six degrees of freedom) of the UAV in flight being accurately tracked and controlled from the ground, e.g., by a laser tracker or a camera bar, thereby leading to a relatively more stable flight of the UAV.
Abstract:
A drone equipped with a camera, a wireless communication module, an acoustic sensor, a GPS receiver, software and collapsible floatation device patrols above swimmers. The camera and acoustic sensor capture the video and audio of the swimmers. The information is either streamed to a command center or processed by the onboard software. With audio and video analysis capabilities, software is used to detect a swimmer in distress (SID). Alternatively the information is streamed to lifeguard or volunteers all over the world to spot SID. Another detection method is to let swimmer wear a wearable emergency notification device, which sends wireless signals comprising GPS location data. A SID presses a button to indicate rescue request and the drones fly over by GPS signal guidance. Solar power is used as the optional power source of the drones, which would allow the to sustain operation for a prolonged period of time. Once a SID is identified, the drone or drones fly over the SID and drops the collapsible floatation device.
Abstract:
The present disclosure is directed toward systems and methods for autonomously landing an unmanned aerial vehicle (UAV). In particular, systems and methods described herein enable a UAV to land within and interface with a UAV ground station (UAVGS). In particular, one or more embodiments described herein include systems and methods that enable a UAV to conveniently interface with and land within a UAV ground station (UAVGS). For example, one or more embodiments include a UAV that includes a landing base and landing frame that interfaces with a landing housing of a UAVGS.