Abstract: Disclosed herein are systems and methods for operating an unmanned aerial vehicle (UAV). A method includes capturing a raw video stream input using one or more camera sensors of the UAV, receiving user-commanded motion data representative of motion commanded by a user of the UAV, and receiving total-motion data representative of motion of the one or more camera sensors including the motion commanded by the user. Residual motion data is generated by subtracting the user-commanded motion data from the total-motion data. A frame-based stabilization process operates using the residual motion data, while a rolling-shutter stabilization process operates using the total-motion data. Outputs of the stabilization processes are fused to generate mesh data, which is applied to the raw video stream to produce a stabilized video stream. Separately utilizing different motion data for distinct stabilization processes can enhance stabilization performance and viewing experience.

Abstract: Sports and fitness applications for an autonomous unmanned aerial vehicle (UAV) are described. In an example embodiment, a UAV can be configured to track a human subject using perception inputs from one or more onboard sensors. The perception inputs can be utilized to generate values for various performance metrics associated with the activity of the human subject. In some embodiments, the perception inputs can be utilized to autonomously maneuver the UAV to lead the human subject to satisfy a performance goal. The UAV can also be configured to autonomously capture images of a sporting event and/or make rule determinations while officiating a sporting event.

Abstract: An unmanned aerial vehicle (UAV) system includes one or more processors and one or more computer storage media storing instructions that when executed by the one or more processors, cause the one or more processors to perform operations that include obtaining flight information of the UAV; determining one or more modifications based on the flight information; and transmitting data messages over data buses based on the one or more modifications.

Abstract: A landing platform for a base station that is configured to dock with an unmanned aerial vehicle (UAV). The landing platform includes: a stage that defines landing areas, which are configured to receive the UAV during docking; alignment members that are configured to engage and reposition the UAV during a first stage of alignment; and a charging hub that is configured for electrical connection to the UAV. The charging hub includes a registration member, which is configured to mechanically interface with and reposition the UAV on the landing platform during a second stage of alignment, and a charging head that is repositionable in relation to the registration member from a normal position into a deflected position during a third stage of alignment to facilitate engagement of corresponding electrical contacts on the UAV and the charging head.

Abstract: Systems, methods, and software for operating an unmanned aerial vehicle (UAV) having one or more camera sensors. A method includes capturing a video stream using the camera sensor(s) of the UAV. The method includes determining a capability of a ground station communicably coupled to the UAV to annotate the video stream. In response to determining that the ground station is capable to annotate the video stream, the method includes transmitting the video stream to the ground station without annotations. Alternatively, in response to determining that the ground station is incapable to annotate the video stream, drawing annotations on the video stream to generate an annotated video stream, and transmitting the annotated video stream to the ground station. Embodiments of the present technology provide enhanced interoperability between UAVs and different types of ground stations to improve streamlining and quality of user experiences as compared to conventional systems and techniques.

Abstract: A method of docking an unmanned aerial vehicle (UAV) with a base station. The method includes: landing the UAV on a landing platform of the base station; generally aligning the UAV with a charging hub of the base station; extending the charging hub; and repositioning a locking mechanism on the charging hub from an unlocked position into a locked position to thereby secure the charging hub to the UAV.

Abstract: The technology described herein relates to autonomous aerial vehicle technology and, more specifically, to image stabilization systems for autonomous aerial vehicles. In some embodiments, a UAV including a central body, an image capture assembly that couples the image capture assembly to the central body. The image stabilization assembly is configured to provide structural protection and support around the image capture assembly while passively isolating the image capture assembly from vibrations and other motion of the central body while the UAV is in flight.

Abstract: A charging hub for a base station that is configured to receive an unmanned aerial vehicle (UAV) during docking. The charging hub is repositionable between a retracted position and an extended position and includes a charger subassembly, which is configured for electrical connection to the UAV, and a locking mechanism, which is pivotable in relation to the charger subassembly between a passive position and an active position and is configured for engagement with the UAV to thereby secure the charging hub to the UAV in the active position.

Abstract: A base station for an unmanned aerial vehicle (UAV) with a reconfigurable landing platform including alignment members, which engage the UAV and are repositionable between extended and retracted positions, and a drive mechanism, which is connected (secured) to the alignment members to facilitate extension and retraction thereof. During retraction, the alignment members engage the UAV and generally align a power source on the UAV with a charging hub of the base station, which facilitates not only charging of the UAV but proper closure of the base station.

Abstract: A method comprising: communicating signals and transmitting the signals. Communicating the signals from an operation system to a motor controller of an unmanned aerial vehicle (UAV). Transmitting the signals from the motor controller to motors of the UAV. Applying a smoothing filter to the signals transmitted from the motor controller to the motors of the UAV to generate filtered signals. Controlling the motors with the filtered signals so that the motors operate to control movement of the UAV.

Abstract: A propeller blade includes a first material and a second material. The first material includes fibers. The second material is different from the first material. The fibers are interspersed through the second material and the fibers are oriented in a same direction within the second material. The propeller blade is anisotropic and includes sections of the fibers.

Abstract: An unmanned aerial vehicle (“UAV”), the UAV includes an electronic speed controller and a flight controller. The electric speed controller is interfaced with thrust motors of the UAV. The flight controller configured to: determine a geographic location and a velocity of the UAV, the velocity includes a first component and a second component. The flight controller is configured to determine a distance between the geographic location of the UAV and a closest segment of a no-fly zone. The flight controller is configured to determine a zone of deceleration, the zone of deceleration comprising: a distal section and a proximal section. The flight controller in response to the UAV crossing a switch point, located at an intersection of the distal section and the proximal section, changing a deceleration rate of the UAV from a first deceleration rate to a second deceleration rate by adjusting the electric speed controller and the thrust motors.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for ground control point assignment and determination. One of the methods includes receiving information describing a flight plan for the UAV to implement, the flight plan identifying one or more waypoints associated with geographic locations assigned as ground control points. A first waypoint identified in the flight plan is traveled to, and an action to designate a surface at the associated geographic location is designated as a ground control point. Location information associated with the designated surface is stored. The stored location information is provided to an outside system for storage.

Abstract: Disclosed here are airframe component assemblies including example embodiments with a root connected to an aircraft fuselage, a free section with a connection portion with holes, a slidable attachment section formed to fit between the root and the free section, and an elastomeric retention device coupled to the root and the slidable attachment section, the elastomeric retention device configured to exert a force to pull the slidable attachment toward the root.

Abstract: A graphical user interface (GUI) for controlling the flight of an aircraft such as an unmanned aerial vehicle (UAV) is described. In example embodiments, the GUI includes a view of a physical environment from the perspective of the aircraft as well as various interactive elements through which a user can interact. The interactive elements presented in the GUI and the way in which user interaction with such elements is interpreted can depend on user selection from multiple available control modes. In some embodiments, user interaction with the GUI is interpreted based on a selected control mode and translated into behavioral objectives that are processed, along with other behavioral objectives, by a motion planner to maneuver the aircraft.

Abstract: Systems and methods are provided for tracking a subject in a physical environment using an unmanned aerial vehicle (UAV) guided by device-free radio frequency (RF) localization. Wireless transmitters emit RF signals through the environment, and wireless monitors detect changes in the RF signals caused by interference when the subject passes through the environment. A processing unit analyzes the detected changes to estimate a position of the subject without requiring the subject to carry a transmitting device. The processing unit generates control commands to cause the UAV to autonomously maneuver such that an onboard image capture device maintains the subject within a field of view. The subject type and orientation are classified based on RF signal characteristics, and tracking may be refined by fusing the estimated position with data from an inertial measurement unit or image capture device of the UAV.

Abstract: A charging hub for a base station that is configured to receive an unmanned aerial vehicle (UAV) during docking. The charging hub includes: a charging base; a registration member that is connected to the charging base and which is configured for engagement with the UAV; and a charging head that is configured for electrical connection to the UAV. The charging head is repositionable in relation to the charging base and the registration member between normal and deflected positions to facilitate alignment between corresponding electrical contacts on the UAV and the charging head.

Abstract: An unmanned aerial vehicle (UAV) logs first UAV information at a first frequency. The UAV triggers a camera associated with the UAV to capture an image. In response to triggering the camera to capture the image, the UAV logs second UAV information at a second frequency that is higher than the first frequency. A device that is separate from the UAV identifies a location of the UAV corresponding to the image based on a capture timestamp of the image received from the camera, the first UAV information, and the second UAV information. The device generates a geo-rectified imagery based on the image and the location of the UAV.

Abstract: Technology is disclosed herein for dynamically selecting a communication channel for communication between an unmanned aerial vehicle and an access point. In an implementation, an unmanned aerial vehicle selects a current channel for communicating with an access point by performing a scan of the communication channels and, for each channel, generating a score based on performance metrics acquired during the scan. The communication channels are sorted into an ordered list according to the scores of the communication channels. The vehicle selects the first channel of the ordered list to be the current channel and periodically evaluates the channel performance against a performance threshold. Upon determining that the performance of the current channel is below the performance threshold, the vehicle evaluates the second channel from the ordered list.