Abstract:
The subject matter described herein includes a modular and extensible approach to integrate noisy measurements from multiple heterogeneous sensors that yield either absolute or relative observations at different and varying time intervals, and to provide smooth and globally consistent estimates of position in real time for autonomous flight. We describe the development of the algorithms and software architecture for a new 1.9 kg MAV platform equipped with an IMU, laser scanner, stereo cameras, pressure altimeter, magnetometer, and a GPS receiver, in which the state estimation and control are performed onboard on an Intel NUC 3rd generation i3 processor. We illustrate the robustness of our framework in large-scale, indoor-outdoor autonomous aerial navigation experiments involving traversals of over 440 meters at average speeds of 1.5 m/s with winds around 10 mph while entering and exiting buildings.
Abstract:
An electronic human machine interface (HMI) module is configured to receive at least one input from an operator of a manually-operated vehicle. The electronic HMI module includes an electronic graphical display unit and an electronic control module. The electronic graphical display unit is configured to display information corresponding to the manually-operated vehicle and information corresponding to an autonomously operated unmanned vehicle (UV) located remotely from the manually-operated vehicle. The electronic control module is in signal communication with the UV and is configured to receive an electronic image signal from the UV. The electronic control module is further configured to display a real-time image captured by the UV on the electronic graphical display unit based on the image signal.
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:
According to a first aspect of the invention, there is provided a volitant vehicle comprising, a body (112), a control unit being configured to compute an estimate of the orientation of a primary axis (130) of said body with respect to a predefined reference frame, wherein said primary axis is an axis about which said vehicle rotates when flying; and at least one propeller (104) attacked to the body, wherein each of said at least one propeller has an axis of rotation (110) which is fixed with respect to said body, is configured to simultaneously produce a thrust force and a torque, said thrust force having a component along the primary axis, said torque having a component along the primary axis constructively contributing to the vehicle rotating about said primary axis, said torque having a component perpendicular to the primary axis, and all of said at least one propeller rotate with the same handedness about their respective thrust forces.
Abstract:
According to an aspect, a method of performing context-aware landing zone classification for an aircraft includes accessing a landing zone map, by a context-aware landing zone classification system of the aircraft, to identify potential landing zones. A database on the aircraft includes land cover map data and impervious surface map data. The database is queried to extract context data. The context data include land cover characteristics and impervious surface characteristics associated with locations corresponding to the landing zone map. The context-aware landing zone classification system of the aircraft evaluates the potential landing zones in view of the context data to adjust classifications of the potential landing zones and produce a context-aware landing zone classification of the potential landing zones. The context-aware landing zone classification of the potential landing zones is provided to landing zone selection logic of the aircraft to select a final landing zone.
Abstract:
The invention relates to a method for an airborne drone not provided with a TCAS system to avoid an intruding aircraft, including the steps of: acquiring the position of the intruding aircraft in order to determine the distance between the airborne drone and the intruding aircraft; measuring the angular velocity of the intruding aircraft (10) along a horizontal plane; determining if the intruding aircraft is provided with a TCAS system and, in the affirmative, receiving a resolution advisory transmitted by the TCAS system of the intruding aircraft and following a predetermined avoidance route. The invention also relates to a drone provided with a system implementing said method.
Abstract:
The invention relates to a detection system designed to obtain information, in particular data, belonging to at least one tubular element (10), wherein several tubular elements can be connected to one another to form a tubular network (10, 12, 11, 13), such as a sewer system, a supply line system, or a ventilation line system, wherein the detection system comprises at least one aircraft (14), by means of which information can be detected inside the at least one tubular element (10). The invention further relates to a method for detecting information, in particular data, belonging to at least one tubular element by means of an aircraft in the tubular element.
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.