Amazon Technologies, Inc.

Scott Michael Wilcox

Joshua John Watson

Barry James O'Brien

Chengwu Luke Cui

Sarah Graber

Scott Patrick Boyd

Louis LeRoi LeGrand, Iii

Daniel Buchmueller

Lowell Timothy Neal

Scott Raymond Harris

Gershon Parent

Ricky Dean Welsh

Fabian Hensel

Carlos Guillermo Parodi

Jason Leonard Peacock

Naimisaranya Das Busek

Jon Lewis Lindskog

Yves Christian Albers Schoenberg

Martin Koestinger

Samuel Park

Christopher Aden Maynor

Michael William Regner

Gerald Schweighofer

Mario Sormann

Ishwarya Ananthabhotla

Brian C Beckman

Menashe Haskin

Brian Allan Olsen

Benjamin Novak

Michael John Elzinga

Trevor Josph Myslinski Decker

Christina Olsen

Marnette Wilcox

Trevor Joseph Myslinski Decker

Benjamin Israel Caro

Kevin Kwok Leung Yuen

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.

Delivery drop rate modulation

Components of a device may transmit signals between one another using piezo electric transducers (PETs). In a basic system, a first PET may be coupled to and/or in contact with a first location on a member. A second PET may be coupled to and/or in contact with a second location on the member and separated from the first PET by a distance. The first PET may receive a signal (e.g., an electrical voltage) and convert the signal to a mechanical force/stress causing vibration of the member. The vibration may propagate through the member to other locations about the member. The second PET receive the vibration and may convert the vibration back to the signal, such as by converting mechanical force/stress to the electrical voltage (i.e., the signal). A similar process may be performed in reverse to enable the first and second PET to provide two-way communication.

Mechanical vibration based inter-module communication in vehicle

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.

Delivery drop platforms, tethers, and stabilization

A configurable unmanned aerial vehicle (UAV) may include swappable components that may be selectable to configure a customized UAV just prior to deployment of the UAV that is configured to deliver a package to a destination. The UAV may include a plurality of ports that may accept swappable components. The ports may be coupled to a logic board to enable control of the swappable components. The ports and swappable components may enable quick replacement of a malfunctioning components, such as an image sensor, which may avoid subjecting a UAV to significant downtime for service. The malfunctioning component may then be serviced after the UAV is readied for a subsequent flight or deployed on a subsequent flight.

Unmanned aerial vehicle with ports configured to receive swappable components

A mobile calibration room may be used for calibrating one or more sensors used on unmanned aerial vehicles (UAVs). A system can include folding or collapsible walls to enable the system to be moved between a stowed position and a deployed position. In the deployed position, the system can comprise a calibration room including one or more 2D or 3D targets used to calibrate one or more sensors (e.g., cameras) on a UAV. The system can include a turntable to rotate the UAV about a first axis during calibration. The system can also include a cradle to rotate the UAV around, or translate the UAV along, a second axis. The turntable can include a frame to rotate the UAV around a third axis during calibration. The mobile calibration room can be coupled to a vehicle to enable the mobile calibration room to be moved between locations.

Self-contained mobile sensor calibration structure

A system for detecting transparent elements in a vehicle environment are described. In some examples, this may include accessing an image of a scene captured by an image capture device attached to a vehicle. A reflected image present in the image may be detected. The reflected image may include a portion of the vehicle. It may be determined that the scene includes a transparent element based at least in part on detecting the reflected image present in the image.

Transparent element detection for vehicles

Techniques for verifying a location and identification of a landing marker to aid an unmanned aerial vehicle (UAV) to deliver a payload to a location may be provided. For example, upon receiving an indication that a UAV has arrived to a delivery location, a server computer may process one or more images of an area that are provided by the UAV and/or a user interacting with a user device. A landing marker may be identified in the image and a representation of the landing marker along with instructions to guide the UAV to deliver the payload to the landing marker may be transmitted to the UAV and implemented by the UAV.

Drone marker and landing zone verification

Aerial vehicles may be outfitted with one or more ultrasonic anemometers, each having ultrasonic transducers embedded into external surfaces. The transducers may be aligned and configured to transmit acoustic signals to one another, and receive acoustic signals from one another, along one or more paths or axes. Elapsed times of signals transmitted and received by pairs of transducers may be used to determine air speeds along the paths or axes. Where two or more pairs of transducers are provided, a net vector may be derived based on air speeds determined along the paths or axes between the pairs of the transducers, and used to generate control signals for maintaining the aerial vehicle on a desired course, at a desired speed or altitude, or in a desired orientation. The transducers may be dedicated for use in an anemometer, or may serve multiple purposes, and may be reoriented or reconfigured as necessary.

Airframe-embedded ultrasonic transducers

Camera calibration may be performed in a mobile environment. One or more cameras can be mounted on a mobile vehicle, such as an unmanned aerial vehicle (UAV) or an automobile. Because of the mobility of the vehicle the one or more cameras may be subjected to inaccuracy in imagery caused by various factors, such as environmental factors (e.g., airflow, wind, etc.), impact by other objects (e.g., debris, vehicles, etc.), vehicle vibrations, and the like. To reduce the inaccuracy in imagery, the mobile vehicle can include a mobile camera calibration system configured to calibrate the one or more cameras while the mobile vehicle is traveling along a path. The mobile camera calibration system can cause the one or more cameras to capture an image of an imaging target while moving, and calibrate the one or more cameras based on a comparison between the image and imaging target data.

Camera calibration in a mobile environment

An unmanned aerial vehicle (UAV) landing marker transmits a reply signal in response to receiving radar signals emitted by a UAV. The landing marker can include a passive transponder that emits the reply signal, with the reply signal being a harmonic of the fundamental frequency of the radar signal emitted by the UAV. The landing marker can also include a transmitter to transmit the reply signal. Additionally, the landing marker can include sensors to monitor the environment about the landing marker and this environmental information can be transmitted to the UAV as part of the reply signal.

Unmanned aerial vehicle (UAV) landing marker responsive to radar signals

A propeller provided on an aerial vehicle may include a digital camera or other imaging device embedded into a surface of one of the blades of the propeller. The digital camera may capture images while the propeller is rotating at an operational speed. Images captured by the digital camera may be processed to recognize one or more objects therein, and to determine ranges to such objects by stereo triangulation techniques. Using such ranges, a depth map or other model of the surface features in an environment in which the aerial vehicle is operating may be defined and stored or used for any purpose. A propeller may include digital cameras or other imaging devices embedded into two or more blades, and may also use such images to determine ranges to objects by stereo triangulation techniques.

Determining stereo distance information using imaging devices integrated into propeller blades

An unmanned aerial vehicle (UAV) landing marker that absorbs incoming radar signals emitted by a UAV and/or disperses reflected radar signals. The absorption and/or dispersion of the radar signals creates a reduced radar return in comparison to the environment about the landing marker. The UAV can detect the area of reduced radar return and determine that it is a landing marker. Additionally, the UAV can determine a position of the landing marker relative to the UAV, based on the reduced radar return, to effect delivery of an item by the UAV. The landing marker can include materials, structures and/or features to absorb and/or disperse radar signals to cause the reduced radar return.

Described herein are systems and methods of determining a distance between an object depicted in an image and an imaging device that captured that image. In particular, the disclosure discusses that an image may be separated into multiple derivative images, each of which is associated with a different wavelength of light. In some embodiments, an image may be separated into images associated with wavelengths of primary colors (e.g., red, green, and blue). Once separate images have been created, a sharpness value may be determined for each image. A distance between the object and the imaging device may then be calculated based on sharpness values associated with each of the separate images.

Growing community of inventors

Kirkland, WA, United States of America

Scott Michael Wilcox