摘要:
This disclosure describes optimizing a clarity of images captured by a camera exposed to vibrations, such as a camera mounted on an aerial vehicle. The vibrations can be caused by rotors, motors, forces (e.g., lift, drag, etc.) acting on the UAV, environmental factors (e.g., wind, turbulence, etc.), or any other force that may cause asymmetry. An inertial measurement unit can measure the vibrations and determine a vibrational pattern imposed upon the camera. The inertial measurement unit can identify one or more dead points in the vibrational pattern, and times associated therewith. The inertial measurement unit can send the one or more dead points and/or the times associated therewith to the camera, and cause the camera to capture and/or store images at times corresponding to the one or more dead points to enable capture of images with little or no blur.
摘要:
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, an acoustic 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.
摘要:
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.
摘要:
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.
摘要:
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 a passing of the item from one autonomous vehicle to another or otherwise utilizing different autonomous vehicles for transporting the item along different path segments (e.g., between different network locations). Different possible travel paths through the transportation network may be evaluated, and a travel path for an item may be selected based on transportation factors such as travel time, cost, safety, etc., which may include consideration of information regarding current conditions (e.g., related to network congestion, inclement weather, etc.). Autonomous vehicles of different sizes, carrying capacities, travel ranges, travel speeds, etc. may be utilized for further improving the flexibility and efficiency of the system for transporting items.
摘要:
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 thrusting 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, it may be determined if the horizontal airspeed of the UAV exceeds an airspeed threshold. If the horizontal airspeed exceeds the airspeed threshold, the thrusting motor may be engaged and the thrusting propeller will aid in the horizontal propulsion of the UAV.
摘要:
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.
摘要:
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 objet. 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.
摘要:
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.