Abstract: An unmanned aerial vehicle (UAV) can deliver a package to a delivery destination. Packages delivered by a UAV may be lowered towards the ground while the UAV continues to fly rather than the UAV landing on the ground and releasing the package. Packages may sway during lowering as a result of wind or movement of the UAV. By modulating a rate of descent of a package, a package sway may mitigated. The lowering mechanism includes wrapping a tether in various directions around the package such that the package rotates in a first and second direction as the package descends. Additionally, a rip-strip lowering mechanism that separates under tension to lower the package and a rappel mechanism that slides the package down a tether may be used. Accordingly, the tether can control a descent of the package assembly.

Abstract: A transportation network is provided that utilizes autonomous vehicles (e.g., unmanned aerial vehicles) for identifying, acquiring, and transporting items between network locations without requiring human interaction. A travel path for an item through the transportation network may include multiple path segments and corresponding intermediate network locations, with a different autonomous vehicle utilized to transport the item along each path segment. Different possible next network locations for a travel path may selected based on transportation factors such as travel time, cost, safety, etc. (e.g., as may be related to distance, network congestion, inclement weather, etc.). Local processing (e.g., by a control system of an autonomous vehicle) may perform the selection of a next network location for a travel path (e.g.

Abstract: This disclosure describes a system and method for operating an automated aerial vehicle wherein the battery life may be extended by performing one or more electricity generation procedures on the way to a destination (e.g., a delivery location for an item). In various implementations, the electricity generation procedure may include utilizing an airflow to rotate one or more of the propellers of the automated aerial vehicle so that the associated propeller motors will generate electricity (e.g., which can be utilized to recharge the battery, power one or more sensors of the automated aerial vehicle, etc.). In various implementations, the airflow may consist of a wind, or may be created by the kinetic energy of the automated aerial vehicle as it moves through the air (e.g., as part of a normal flight path and/or as part of an aerial maneuver).

Abstract: Automated inspections of aerial vehicles may be performed using imaging devices, microphones or other sensors. Between phases of operation, the aerial vehicle may be instructed to perform a plurality of testing evolutions, e.g., in a sequence, at a testing facility, and data may be captured during the evolutions by sensors provided on the aerial vehicle and by ground-based sensors at the testing facility. The imaging and acoustic data may be processed to determine whether any vibrations or radiated noises during the evolutions are consistent with faults or discrepancies of the aerial vehicle such as microfractures, corrosions or fatigue. If no faults or discrepancies are detected, the aerial vehicle may be returned to service without delay. If any faults or discrepancies are detected, however, then the aerial vehicle may be subjected to maintenance, repairs or further manual or visual inspections.

Abstract: A system and method for operating an automated aerial vehicle are provided wherein influences of ground effects (e.g., which may increase the effective thrusts of propellers by interfering with the respective airflows) are utilized for sensing the ground or other surfaces. In various implementations, operating parameters of the automated aerial vehicle are monitored to determine when ground effects are influencing the parameters associated with each of the propellers, which correspondingly indicate proximities to a surface (e.g., the ground). Utilizing such techniques, proximities of different portions of an automated aerial vehicle to the ground or other surfaces may be determined (e.g., for detecting issues with an uneven landing area, a sloped ground, etc.).

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: This disclosure is directed to a detection and avoidance apparatus for an unmanned aerial vehicle (“UAV”) and systems, devices, and techniques pertaining to automated object detection and avoidance during UAV flight. The system may detect objects within the UAV's airspace through acoustic, visual, infrared, multispectral, hyperspectral, or object detectable signal emitted or reflected from an object. The system may identify the source of the object detectable signal by comparing features of the received signal with known sources signals in a database. The features may include, for example, a multispectral signature emitted or reflected by the object. Furthermore, a trajectory envelope for the object may be determined based on characteristic performance parameters for the object such as cursing speed, maneuverability, etc. The UAV may determine an optimized flight plan based on the trajectory envelopes of detected objects within the UAV's airspace.

Abstract: Described are systems and methods for considering a user equipment (UE) location and Evolved Node B (eNodeBs) locations as a factor in determining whether a handoff of a wireless connection between the UE and a first eNodeB to a second eNodeB should be initiated. Alternatively, the systems and methods include selection of an eNodeB with which a wireless connection is to be established. In addition to considering a signal strength for an eNodeB and determining whether to established a wireless communication or initiate a handoff based on the signal strength, the UE location and eNodeB locations may likewise considered. Likewise, a navigation path or anticipated trajectory of the UE may also be considered when selecting an eNodeB with which a wireless communication is to be established or to which a handoff of an existing wireless communication is to be initiated.

Abstract: This disclosure describes systems, methods, and apparatus for automating the verification of aerial vehicle sensors as part of a pre-flight, flight departure, in-transit flight, and/or delivery destination calibration verification process. At different stages, aerial vehicle sensors may obtain sensor measurements about objects within an environment, the obtained measurements may be processed to determine information about the object, as presented in the measurements, and the processed information may be compared with the actual information about the object to determine a variation or difference between the information. If the variation is within a tolerance range, the sensor may be auto adjusted and operation of the aerial vehicle may continue. If the variation exceeds a correction range, flight of the aerial vehicle may be aborted and the aerial vehicle routed for a full sensor calibration.

Abstract: An unmanned aerial vehicle (UAV) can deliver a package to a delivery destination. Packages delivered by a UAV may be lowered towards the ground while the UAV continues to fly rather than the UAV landing on the ground and releasing the package. Packages may sway during lowering as a result of wind or movement of the UAV. A package sway may be monitored and mitigated by rapidly paying out a tether, when using a winch mechanism, to dissipate the energy of the sway as downward energy. Further, the UAV may navigate in the direction of the sway or reduce the altitude of the UAV to dissipate the energy of the sway. Open-loop and/or closed loop drop techniques may be utilized to lower a package from the UAV, and the package may be released in the air or on the ground.

Abstract: Techniques described herein include a system and method for aggregating multiple data streams related to a drone mission event into a single data stream. In this disclosure, a service provider may receive multiple data streams from various data sources in either real time, post facto, or a combination of the two. The data streams may be synchronized and combined using multiplexing techniques. Additionally, one or more observers are provided with the capability to append log entries to the data streams at particular time markers. In some embodiments, the time markers associated with a log entry may be updated at a later time to more accurately reflect events.

Abstract: This disclosure describes a configuration of an unmanned aerial vehicle (UAV) that will facilitate extended flight duration. The UAV may have any number of lifting motors. For example, the UAV may include four lifting motors (also known as a quad-copter), eight lifting motors (octo-copter), etc. Likewise, to improve the efficiency of horizontal flight, the UAV also includes a pushing motor and propeller assembly that is oriented at approximately ninety degrees to one or more of the lifting motors. When the UAV is moving horizontally, the pushing motor may be engaged and the pushing propeller will aid in the horizontal propulsion of the UAV.

Abstract: A system and method for operating an automated aerial vehicle are provided wherein influences of ground effects (e.g., which may increase the effective thrusts of propellers by interfering with the respective airflows) are utilized for sensing the ground or other surfaces. In various implementations, operating parameters of the automated aerial vehicle are monitored to determine when ground effects are influencing the parameters associated with each of the propellers, which correspondingly indicate proximities to a surface (e.g., the ground). Utilizing such techniques, different propellers of an automated aerial vehicle may provide different sensing data (e.g., for detecting issues with an uneven landing area, a sloped ground, determining an automated aerial vehicle's location based on a unique ground surface profile, etc.

Abstract: An automated aerial vehicle (“AAV”) and systems, devices, and techniques pertaining to moveable ballast that is movable onboard the AAV during operation and/or flight. The AAV may include a frame or support structure that includes the movable ballast. A ballast controller may be used to cause movement of the ballast based on one or more factors, such as a type of flight, a type of operation of the AAV, a speed of the AAV, a triggering event, and/or other factors. The ballast may be moved using mechanical, electrical, electromagnetic, pneumatic, hydraulic and/or other devices/techniques described herein. In some embodiments, the ballast may be moved or located in or toward a centralized position in the AAV to enable more agile control of the AAV. The ballast may be moved outward from the centralized location of the AAV to enable more stable control of the AAV.

Abstract: This disclosure describes an unmanned aerial vehicle that may be configured during flight to optimize for agility or efficiency.

Abstract: Unmanned aerial vehicles (“UAVs”) which fly to destinations (e.g., for delivering items) may land on transportation vehicles (e.g., delivery trucks, etc.) for temporary transport. An agreement with the owner of the transportation vehicles (e.g., a shipping carrier) may be made, and the associated transportation vehicles that are available for landings may be identified by markers on the roof or other identification techniques. Different types of communications may be provided as part of a landing process (e.g., a notification regarding a proposed landing may be sent including a request for a confirmation that the proposed landing is acceptable, etc.). The routes of the transportation vehicles may be known and utilized to determine locations where UAVs will land on and take off from the transportation vehicles.

Abstract: This disclosure describes an automated aerial vehicle that includes one or more object detection elements configured to detect the presence of objects and an avoidance determining element configured to cause the automated aerial vehicle to automatically determine and execute an avoidance maneuver to avoid the objects. For example, an object may be detected and an avoidance maneuver determined based on a position of the object and an object vector representative of a direction and a magnitude of velocity of the object.

Abstract: This disclosure describes a configuration of an unmanned aerial vehicle (UAV) that will facilitate extended flight duration. The UAV may have any number of lifting motors. For example, the UAV may include four lifting motors (also known as a quad-copter), eight lifting motors (octo-copter), etc. Likewise, to improve the efficiency of horizontal flight, the UAV also includes a pushing motor and propeller assembly that is oriented at approximately ninety degrees to one or more of the lifting motors. When the UAV is moving horizontally, the pushing motor may be engaged and the pushing propeller will aid in the horizontal propulsion of the UAV.

Abstract: This disclosure describes an automated aerial vehicle that includes one or more object detection elements configured to detect the presence of objects and an avoidance determining element configured to cause the automated aerial vehicle to automatically determine and execute an avoidance maneuver to avoid the objects. For example, an object may be detected and an avoidance maneuver determined based on a position of the object and an object vector representative of a direction and a magnitude of velocity of the object.

Abstract: Unmanned aerial vehicles (“UAVs”) which fly to destinations (e.g., for delivering items) may land on transportation vehicles (e.g., delivery trucks, etc.) for temporary transport. An agreement with the owner of the transportation vehicles (e.g., a shipping carrier) may be made for obtaining consent and determining compensation for landings, and the associated transportation vehicles that are available for landings may be identified by markers on the roof or other identification techniques. The routes of the transportation vehicles may be known and utilized to determine locations where UAVs will land on and take off from the transportation vehicles, and in cases of emergencies (e.g., due to low batteries, mechanical issues, etc.) the UAVs may land on the transportation vehicles for later retrieval.