Abstract:
An unmanned aerial vehicle/unmanned aircraft system including an airframe; a plurality of rotor assemblies respectively extending from a plurality of arms connected to said airframe, said rotor assemblies each having a rotor thereon with at least one rotor blade; a landing gear extending from said airframe; and a flight controller disposed on said airframe; wherein said flight controller receives instructions for unmanned aerial vehicle/unmanned aircraft system control.
Abstract:
Certain embodiments herein relate to location verification for autonomous unmanned aerial vehicles (also referred to as “drones”). In some embodiments, an unmanned aerial vehicle engaged in autonomous flight may determine its location using a satellite-based navigation system. The location may be evaluated against location data obtained from one or more secondary factors, such as public broadcast beacons, cellular towers, wireless network identifiers, visual markers, or any combination thereof. If the location is determined to be invalid, the unmanned aerial vehicle may be instructed to take a mitigation action. Additionally, certain embodiments also include the verification of a flight plan for the unmanned aerial vehicle using secure no-fly logic to verify a flight plan does not violate no-fly zones. If the flight plan is verified, the flight plan may be signed using a cryptographic signature and provided to a navigation module that verifies the signature and executes the flight plan.
Abstract:
Systems and methods for controlling an unmanned aerial vehicle within an environment are provided. In one aspect, a system comprises one or more sensors carried by the unmanned aerial vehicle and configured to provide sensor data and one or more processors. The one or more processors can be individually or collectively configured to: determine, based on the sensor data, an environment type for the environment; select a flight mode from a plurality of different flight modes based on the environment type, wherein each of the plurality of different flight mode is associated with a different set of operating rules for the unmanned aerial vehicle; and cause the unmanned aerial vehicle to operate within the environment while conforming to the set of operating rules of the selected flight mode.
Abstract:
A system for landing a mobile platform, such as an Unmanned Aerial Vehicle (“UAV”) and methods for making and using the same. The system can land the UAV by applying a magnetic levitation force upon the UAV and adjusting the applied magnetic levitation force. The system can initiate a landing process to a designated docking station and can guide the UAV to an adjacency of the designated docking station. Once the UAV has entered the adjacency, the magnetic levitation forces can take control of the landing process. During the landing process, certain magnetic sensitive devices installed on the UAV and/or on the designated docking station can be protected by turning them off or by shielding them. The system overcomes disadvantages of currently-available landing systems by restricting a size and weight of the landing arrangements, as well as, avoiding potential damage to the UAV and the designated docking station.
Abstract:
An unmanned aerial vehicle (UAV) which in some embodiments may comprise a fuselage which includes a cavity formed by an interior cavity wall and a fuselage exterior wall, with the cavity disposed within the fuselage. A first electronic module may be electrically coupled to a first magnetic connector and a second electronic module may be electrically coupled to a second magnetic connector. Electronic communication between the first and second modules may be provided by contact between the first magnetic connector and the second magnetic connector. In further embodiments, when removably positioned adjacent to each other in the cavity, the first magnetic connector may contact the second magnetic connector to establish electronic communication between the first and second modules.
Abstract:
Described are methods and apparatuses for synchronizing two or more sensors of an UAV. In the implementations described, a synchronization event is performed such that identifiable signals of the synchronization event can be collected by each sensor of the UAV. The synchronization event may be generated by a synchronization event component that generates multiple output signals (e.g., audio, visual, and physical) at approximately the same time so that different sensors can each collect and store at least one of the output signals. The collected signals are then compared and the sensors are adjusted to align the signals.
Abstract:
The present invention is to provide a wireless aircraft and a method for outputting location information to reduce a cost, simplify the process, and output the necessary information. The wireless aircraft 10 flying in the air takes an live image, detects the location information on which the wireless aircraft is located, stores a specific image of an extracted object, compares the taken live image with the specific image to recognize an object to be extracted from the live image, and outputs the detected location information when the object is recognized.
Abstract:
Embodiments of the present invention provide an alternative distributed airborne transportation system. In some embodiments, a method for distributed airborne transportation includes: providing an airborne vehicle with a wing and a wing span, having capacity to carry one or more of passengers or cargo; landing of the airborne vehicle near one or more of passengers or cargo and loading at least one of passengers or cargo; taking-off and determining a flight direction for the airborne vehicle; locating at least one other airborne vehicle, which has substantially the same flight direction; and joining at least one other airborne vehicle in flight formation and forming a fleet, in which airborne vehicles fly with the same speed and direction and in which adjacent airborne vehicles are separated by distance of less than 100 wing spans.
Abstract:
Methods, devices, systems, and non-transitory process-readable media for evaluating operating conditions of an autonomous aircraft before performing a mission by executing brief near-flight testing maneuvers at a low elevation. A processor of the autonomous aircraft may receive near-flight testing maneuver instructions that indicate a near-flight testing maneuver to be executed by the autonomous aircraft. The processor may control motors to cause the aircraft to execute a near-flight testing maneuver within a testing area, obtain data indicating stability and performance information while executing the near-flight testing maneuvers, and take an action in response to the obtained data. Actions may include adjusting a position of a payload, a weight, or a portion of the aircraft based on the obtained data, and adjusting a flight plan. The near-flight testing maneuvers may include a sequence of moves for testing stability of the aircraft and payload executing a flight path under anticipated flying conditions.
Abstract:
A drone traffic management system comprising a computer comprising memory means for storing origin coordinates indicating an origin location of a drone, destination coordinates indicating a destination of the drone, and traffic management factors located between the origin location of the drone and the destination of the drone; and processing means for controlling the flight of a drone. This is accomplished by calculating a flight path for the drone to fly automatically from the origin location to the destination location without manual intervention, sending the flight path to the drone, receiving location data of the drone as it travels from the origin location to the destination, re-calculating the flight path of the drone as a function of the traffic management factors and the location data of the drone, and sending the re-calculated flight path to the drone.