公开(公告)号：US10101443B1

公开(公告)日：2018-10-16

申请号：US15368532

申请日：2016-12-02

Applicant: Amazon Technologies, Inc.

Inventor： Louis LeRoi LeGrand, III ,  Gershon Parent ,  Scott Michael Wilcox

IPC: G01S11/00 ,  G01S11/14 ,  B64C13/16 ,  B64C39/00 ,  G05D3/00 ,  B64C39/02

Abstract: 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.

公开(公告)号：US10901077B1

公开(公告)日：2021-01-26

申请号：US16155768

申请日：2018-10-09

Applicant: Amazon Technologies, Inc.

Inventor： Louis Leroi LeGrand, III ,  Gershon Parent ,  Scott Michael Wilcox

IPC: G05D1/00 ,  G01C5/00 ,  B64C39/04 ,  B64D43/02 ,  B64C13/16 ,  G05D3/00 ,  G01H5/00 ,  G01S11/00 ,  G01S11/14 ,  B64C39/02

Abstract: 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.

公开(公告)号：US09739870B1

公开(公告)日：2017-08-22

申请号：US14829111

申请日：2015-08-18

Applicant: Amazon Technologies, Inc.

Inventor： Brian C. Beckman ,  Menashe Haskin ,  Gershon Parent ,  Scott Michael Wilcox

IPC: G01S5/16 ,  B64C39/02 ,  B64D45/00 ,  G01S5/00

CPC classification number: B64C39/024 ,  B64C2201/027 ,  B64C2201/14 ,  B64D47/00 ,  G01S17/06

Abstract: This disclosure describes systems and methods for visually tracking a position of an unmanned aerial vehicle (“UAV”) using reflected light. A light source at an origin location, such as the location of an operator of the UAV, is aligned and emitted toward the position of the UAV. The emitted light source reflects off a reflector coupled to the UAV toward a location of the operator or a visual observer working with the operator. The reflected light increases the visibility of the UAV, thereby extending the distance from an operator at which the UAV can be operated while maintaining visible contact between the operator and/or a visual observer working with the operator and the UAV.

公开(公告)号：US10740216B1

公开(公告)日：2020-08-11

申请号：US15633171

申请日：2017-06-26

Applicant: Amazon Technologies, Inc.

Inventor： Gershon Parent

IPC: G06F11/36 ,  G06N20/00

Abstract: A machine learning engine can be used to identify inconsistencies and errors in a plurality of bug reports and to glean new information from the bug reports. Bug data associated with a large number of bug reports from different bug categories may be processed and used by a machine learning model of the machine learning engine. The machine learning engine can extract bug attributes from the bug data of a first bug. The machine learning engine can then compare the attributes of the first bug to a machine learning model created using a plurality of second bug reports. Based on then similarity between the first bug report and the second bug reports, the machine learning engine can apply, or correct, various attributes of the first bug report. The machine learning model may be updated over time by the machine learning engine as data correlations evolve.

公开(公告)号：US09938001B1

公开(公告)日：2018-04-10

申请号：US14868156

申请日：2015-09-28

Applicant: Amazon Technologies, Inc.

Inventor： Gershon Parent ,  Paul Viola

IPC: B64C39/02 ,  B64C13/16

CPC classification number: B64C39/024 ,  B64C2201/101 ,  B64C2201/108 ,  B64C2201/14 ,  B64C2201/141

Abstract: A passive control system can be implemented that converts an active control system on a multi-rotor unmanned aerial vehicle (UAV) to a passive control system. In the event that a system health of an active control system on the UAV is compromised, or in other instances, a passive control mechanism can be deployed to restore at least some in-flight stability. In various examples, the passive control system can monitor UAV attitude, velocity, and position to determine an active control system health. In other examples, the passive control system may receive an indication from the active control system itself. In some examples, the passive control mechanisms may include increasing an offset of a center of thrust and the center of gravity of the UAV. In other examples, the passive control mechanisms may include deploying control surfaces that induce a drag force that impedes translational and rotational movement.

公开(公告)号：US09778135B1

公开(公告)日：2017-10-03

申请号：US14656531

申请日：2015-03-12

Applicant: Amazon Technologies, Inc.

Inventor： Brian C. Beckman ,  Gershon Parent

IPC: G01M9/04 ,  G01M9/02

CPC classification number: G01M9/04 ,  G01M9/02

Abstract: Mobile tunnels may be provided on trailers or in association with one or more other vehicles. A mobile tunnel may be towed or otherwise accelerated to a sufficient velocity, thereby causing a fluid such as air or seawater to travel above, below and around the tunnel. The fluid may be diverted into the tunnel and caused to pass over a test object such as an unmanned aerial vehicle or unmanned undersea vehicle within the tunnel, thereby enabling aerodynamic testing or hydrodynamic testing of the test object to be performed. Additionally, one or more materials may be injected into the fluid, thereby enabling destructive testing of the test object to be performed.