Cypress Semiconductor Corporation

Norand Corporation

Horizon Hobby, LLC

Uavionix Corporation

Intermec IP Corporation

Other

Broadcom Corporation

Trace Live Network Inc.

Compaq Computer Corporation, Inc.

The Boeing Company

Foreflight LLC

Draganfly Innovations Inc.

Unmanned Systems, Inc.

Dragonfly Innovations Inc.

Dechnia, LLC

Paul F Beard

Craig McDermott

John Adams

Ryan Winfield Woodings

Cameron Chell

Jamie Clarke

Erika Racicot

Paul Readwin

Christian Ramsey

Dennis Silva

Jeffrey Walker

Mathew S Lee

Darald R Schultz

Robert J Grabon

Jukka Steenari

Mark D Moore

Eric P Mitchell

Eric Meyers

Jeff Walker

David Gordon Wright

Arvin D Danielson

Alan G Bunte

Darrell L Boatwright

Jason Andrew Miller

Rickey George Austin

Daniel E Alt

Bruce McDonald

Steve Whelan

Ryan Braun

Enrique Alfaro

Philip Pak-Lin Kwan

Steven E Koenck

George E Hanson

Steven R Kunert

Steven H Salvay

Robert J Traeger

Steven Darren Friend

John K Rohde

Steve Darren Friend

Drew Marshall Harrington

Bradley Alan Silen

Robert William Eugene Mack

Genu T Mathew

Robert W E Mack

James Richard Terrell, Ii

Jeffry A Howington

Mark Tucker Gerrior

Paul W E Mack

Disclosed herein are systems for routing wireless communications. Some systems may include an apparatus comprising an enclosure configured to attach to an external portion of an aircraft and which may contain: a wireless communications device, and an antenna in communication with the wireless communications device and configured to send or receive signals to and/or from aircraft.

Wireless communication system within an external enclosure for attachment to a vehicle

An in-flight safety enhancing system including: a combined automatic dependent surveillance broadcast (ADS-B) and carbon monoxide (CO) detecting device configured to receive an ADS-B transmission and obtain a CO reading; and a flight application executing on an aircraft crew computing device separate from the combined ADS-B and CO detecting device, and configured to: receive the ADS-B transmission and the CO reading; augment the flight application with information extracted from the ADS-B transmission; and provide a CO status notification when the CO reading exceeds a CO threshold value.

Combined automatic dependent surveillance-broadcast and carbon monoxide detecting device

A system for intelligent non-disruptive airspace integration of unmanned aircraft systems (UAS) is disclosed. The system includes an onboard positioning system and altimeter that determine a current position and altitude of the UAS. Under normal conditions, the UAS remains in inert mode: a transceiver listens for and decodes transmissions from nearby aircraft and ground-based traffic and control facilities. If certain conditions are met (e.g., proximate aircraft, altitude ceilings, controlled or restricted airspaces) the system may declare an alert mode. When in alert mode, the transceiver broadcasts position and identifier information of the UAS to alert neighboring aircraft to its presence. Intelligent transmission strategies regulate the power level or rate of alert-mode transmissions to reduce spectrum congestion due to high UAS density. Alert-mode transmissions continue until the underlying conditions change and inert mode is resumed.

Intelligent non-disruptive automatic dependent surveillance-broadcast (ADS-B) integration for unmanned aircraft systems (UAS)

A combined automatic dependent surveillance broadcast (ADS-B) and carbon monoxide (CO) detecting device includes an ADS-B circuitry configured to receive an ADS-B transmission, a CO sensor configured to obtain a CO reading for ambient air in an aircraft cabin, a processor configured to generate a data stream combining the ADS-B transmission and the CO reading, and a wireless communication circuitry configured to provide the data stream to at least one aircraft crew computing device.

A mixed-mode positioning system and method for determining position data associated with a vehicle is disclosed, in accordance with one or more embodiments of the present disclosure. The system may include one or more receivers configured to receive Global Navigation Satellite system (GNSS) signals and one or more Automatic Dependent Surveillance Broadcast (ADS-B signals). The system may also include a processor configured to extract positional data from the one or more GNSS signals and one or more ADS-B signals. The processor may also be configured to determine ownship position data associated with a vehicle based on the extracted GNSS positional data and the extracted ADS-B positional data.

Mixed-mode location detection and accuracy augmentation for GNSS receivers

Systems and methods for stabilizing the steering and throttle of a radio-controlled (RC) vehicle are described herein. More specifically, sensors and circuitry are configured to control the wheel speed and wheel direction of a RC vehicle based on rotational information. In operation, one or more sensors may be configured to receive angular rotational information associated with a rotation of the RC vehicle. The rotational information may define a rotation of the RC vehicle around one or more axes of the RC vehicle. The circuitry may be configured to receive the angular rotation information associated with the rotation of the RC vehicle from the one or more sensors, and control a wheel speed and/or a wheel direction of at least one wheel of the RC vehicle based at least in part on (i) command data received from a controller associated with the RC vehicle and (ii) the received angular rotation information.

Dynamic stabilization system and methods for an RC vehicle

A three dimensional digital spectrum modulation spread spectrum technique (DSM-X) that improves channel diversity by providing multiple bands within the available portion of the frequency spectrum increasing the number of available channels. The system also improves the channel immunity through the use of at least three dimensions of pseudo-random data encoding, which adds two levels of pseudo-random frequency allocation to the pseudo-random data encoding used in prior DSM systems. The three dimensions of pseudo-random allocation may include pseudo-random data encoding, pseudo-random frequency pattern allocation among a plurality of bands defined within the assigned frequency spectrum, and pseudo-random frequency sequencing among a plurality of channels defined within each band. Additional levels of pseudo-random encoding may be implemented in direct sequence coding for header data, repeat packet timing, and packet iteration timing.

Three dimensional spread spectrum remote control system

The ADS-B power transcoder extracts transponder data from parasitic oscillations on the aircraft power line induced by transmissions of ownship radar transponder reply signals (e.g., responses to interrogations of the transponder). The radio is configured for replacement installation of an aircraft lighting assembly, and connection thereby to legacy onboard power sources without resorting to wireless or wired radar transponder, or pneumatic connections.

Aircraft navigation light power transcoder

A direct-broadcast remote identification (RID) device attachable to an unmanned aircraft system (UAS) encodes identifier signals based on a unique identifier of the UAS and position data, e.g., the current and originating (launch) positions of the UAS, and transmits encoded data signals receivable and decodable by specially configured receiver devices in range. The encoded identifier signals may be transmitted at low power via radio-control frequencies, whitespace frequencies, ISM frequencies, DME frequencies, or ADS-B frequencies as needed. The receiver devices may decode identifier signals to display the relative positions of, and information about, nearby UAS even in internet-denied areas (standalone mode). The receiver devices may retrieve additional data, such as operator information and flight plans, from remote databases by establishing wireless connections when said connections are available (connected mode).

Direct-broadcast remote identification (RID) device for unmanned aircraft systems (UAS)

Systems and methods for tracking a subject using an unmanned aerial vehicle (UAV) are disclosed. The UAV includes an onboard camera to capture/stream multiple images. The camera captures reference images of a subject to be stored in memory; the reference images may portray gestures performed by the subject and associated with specific command procedures. The camera may capture subsequent images portraying the subject; the control system may, based on cascade recognition, identify the subject and a stored gesture to a determined confidence level. Once the subject and gesture are positively identified, the control system and/or propulsion system of the UAV may execute the associated command procedures to change the position, velocity, or heading of the UAV.

Cascade recognition for personal tracking via unmanned aerial vehicle (UAV)

A system and related method for tracking a moving subject via a ground-based or airborne peripheral device includes plugging an intelligent camera device to the unmanned vehicle, establishing a peripheral link by which the intelligent camera device can assume control of the unmanned vehicle's control systems. Based on analysis of images captured by the intelligent camera device, in addition to position data associated with the unmanned vehicle or with the subject, the intelligent camera device may autonomously maneuver the unmanned vehicle to track or follow the subject while maintaining the moving subject in a consistent framing orientation.

Visually intelligent camera device with peripheral control outputs

Growing community of inventors

Milpitas, CA, United States of America

Paul F Beard