Patents by Inventor Tobias Gurdan

Tobias Gurdan has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20230104310
    Abstract: Disclosed herein are systems and methods for generating a morphing sequence for an aerial show. The systems and methods may include: receiving, at a computing device comprising a processor, first frame data defining a first location for each of a plurality of drones in a first image of the aerial show; receiving, at the computing device, second frame data defining a second location for each of the plurality of drones in a second image of the aerial show; and generating the morphing sequence, the morphing sequence defining a flightpath for each of the plurality of drones to transition from the first location associated with the first image to the second location associated with the second image.
    Type: Application
    Filed: April 21, 2022
    Publication date: April 6, 2023
    Inventors: Tobias Gurdan, Daniel Gurdan
  • Patent number: 11585658
    Abstract: An unmanned aerial vehicle includes one or more magnetometers, configured to detect a magnetic field and to output magnetometer data corresponding to a magnitude of the detected magnetic field; a position sensor, configured to detect a position of the unmanned aerial vehicle relative to one or more reference points, and to output position sensor data representing the detected position; one or more processors, configured to control the unmanned aerial vehicle to rotate about its z-axis; receive magnetometer data comprising a plurality of z-axis directional measurements taken during the rotation about the z-axis; receive position sensor data and determine from at least the position sensor data a magnetic field inclination of the detected position; and determine a z-axis magnetometer correction value as a difference between the received magnetometer data for the z-axis and the determined magnetic field inclination.
    Type: Grant
    Filed: June 28, 2019
    Date of Patent: February 21, 2023
    Assignee: Intel Corporation
    Inventors: Tobias Gurdan, Daniel Gurdan
  • Patent number: 11314245
    Abstract: Generating a morphing sequence for an aerial show may include: receiving, at a computing device comprising a processor, first frame data defining a first location for each of a plurality of drones in a first image of the aerial show; receiving, at the computing device, second frame data defining a second location for each of the plurality of drones in a second image of the aerial show; and generating the morphing sequence, the morphing sequence defining a flightpath for each of the plurality of drones to transition from the first location associated with the first image to the second location associated with the second image.
    Type: Grant
    Filed: September 29, 2017
    Date of Patent: April 26, 2022
    Assignee: Intel Corporation
    Inventors: Tobias Gurdan, Daniel Gurdan
  • Patent number: 11169545
    Abstract: Disclosed herein are systems and methods for distributing a plurality of drones to form an aerial image. The systems and methods may include: receiving, at a computing device comprising a processor, location data and drone data; distributing, by the computing device, a plurality of drones based on the aspects of an aerial image such that, during flight, the plurality of drones form the aerial image; and exporting, by the computing device, coordinates for each of the plurality of drones. The location data may define aspects of the aerial image to be formed by the plurality of drones. The drone data may include a number of drones within the plurality of drones. The coordinate for each of the plurality of drones may define a location for a respective drone within the aerial image.
    Type: Grant
    Filed: July 1, 2019
    Date of Patent: November 9, 2021
    Assignee: Intel Corporation
    Inventors: Tobias Gurdan, Daniel Gurdan
  • Patent number: 11077942
    Abstract: A method for providing an air display comprising a multiplicity of unmanned aircraft comprising: automatic loading of mission data of a plurality of unmanned aircraft into the data store of an unmanned aircraft via the ground station by means of the first data connection, querying and storing identifiers, GPS data, and the system status from a plurality of the multiplicity of unmanned aircraft by the control unit by means of the first or second data connection, calculating the flight paths for the plurality of unmanned aircraft based on the GPS data and the first target positions of the respective unmanned aircraft by means of the control unit in real time, assigning flight path numbers to a plurality of the unmanned aircraft by the control unit by means of the first or second data connection, and independent and synchronized performance of the entire mission by the unmanned aircraft after the launch.
    Type: Grant
    Filed: September 16, 2016
    Date of Patent: August 3, 2021
    Assignee: Intel Deutschland GmbH
    Inventors: Michael Achtelik, Klaus Doth, Daniel Gurdan, Jan Stumpf, Tobias Gurdan, Markus Luetzenburger
  • Patent number: 10852723
    Abstract: Herein is disclosed an unmanned aerial vehicle photography system comprising at least a first unmanned aerial vehicle and a second unmanned aerial vehicle; the first unmanned aerial vehicle further comprising one or more image sensors, configured to obtain a subject image of a subject; and one or more processors, configured to cause the one or more image sensors to obtain the subject image synchronously with the second unmanned aerial vehicle.
    Type: Grant
    Filed: November 14, 2017
    Date of Patent: December 1, 2020
    Assignee: INTEL IP CORPORATION
    Inventors: Marco Moeller, Daniel Pohl, Tobias Gurdan
  • Publication number: 20200285252
    Abstract: Methods and apparatus to create drone displays are disclosed. An example drone display design system includes an audience configuration definer to receive an input representing a configuration of an audience from a user, and a drone display designer to, by executing an instruction with a processor, design a drone display to present content to the audience based on the input.
    Type: Application
    Filed: December 27, 2017
    Publication date: September 10, 2020
    Inventors: Daniel Gurdan, Tobias Gurdan
  • Publication number: 20200033891
    Abstract: Disclosed herein are systems and methods for distributing a plurality of drones to form an aerial image. The systems and methods may include: receiving, at a computing device comprising a processor, location data and drone data; distributing, by the computing device, a plurality of drones based on the aspects of an aerial image such that, during flight, the plurality of drones form the aerial image; and exporting, by the computing device, coordinates for each of the plurality of drones. The location data may define aspects of the aerial image to be formed by the plurality of drones. The drone data may include a number of drones within the plurality of drones. The coordinate for each of the plurality of drones may define a location for a respective drone within the aerial image.
    Type: Application
    Filed: July 1, 2019
    Publication date: January 30, 2020
    Inventors: Tobias Gurdan, Daniel Gurdan
  • Publication number: 20200012296
    Abstract: An unmanned aerial vehicle comprises an image sensor, configured to detect electromagnetic radiation and to generate image sensor data representing the detected electromagnetic radiation; a filter, configured to pass image sensor data representing one or more first wavelengths of electromagnetic radiation and to block image sensor data representing one or more second wavelengths of electromagnetic radiation; and one or more processors configured to determine from the passed image sensor data an origin of the detected electromagnetic radiation; and control the unmanned aerial vehicle to travel toward the determined origin.
    Type: Application
    Filed: August 27, 2019
    Publication date: January 9, 2020
    Inventors: Daniel Gurdan, Mika Ritamaeki, Fabian Oberndorfer, Tobias Gurdan, Evgeny Kalugin, Soren Friis
  • Publication number: 20190323839
    Abstract: Herein is disclosed an unmanned aerial vehicle comprising one or more magnetometers, configured to detect a magnetic field and to output magnetometer data corresponding to a magnitude of the detected magnetic field; a position sensor, configured to detect a position of the unmanned aerial vehicle relative to one or more reference points, and to output position sensor data representing the detected position; one or more processors, configured to control the unmanned aerial vehicle to rotate about its z-axis; receive magnetometer data comprising a plurality of z-axis directional measurements taken during the rotation about the z-axis; receive position sensor data and determine from at least the position sensor data a magnetic field inclination of the detected position; and determine a z-axis magnetometer correction value as a difference between the received magnetometer data for the z-axis and the determined magnetic field inclination.
    Type: Application
    Filed: June 28, 2019
    Publication date: October 24, 2019
    Inventors: Tobias GURDAN, Daniel GURDAN
  • Patent number: 10338610
    Abstract: Disclosed herein are systems and methods for distributing a plurality of drones to form an aerial image. The systems and methods may include: receiving, at a computing device comprising a processor, location data and drone data; distributing, by the computing device, a plurality of drones based on the aspects of an aerial image such that, during flight, the plurality of drones form the aerial image; and exporting, by the computing device, coordinates for each of the plurality of drones. The location data may define aspects of the aerial image to be formed by the plurality of drones. The drone data may include a number of drones within the plurality of drones. The coordinate for each of the plurality of drones may define a location for a respective drone within the aerial image.
    Type: Grant
    Filed: September 29, 2017
    Date of Patent: July 2, 2019
    Assignee: Intel IP Corporation
    Inventor: Tobias Gurdan
  • Publication number: 20190084671
    Abstract: The invention relates to a method and a system for providing an aerial display, comprising: a plurality of unmanned aerial vehicles, each having a light means, a data store and an identifier; at least one base station which communicates with the aerial vehicles via a first data connection; and at least one control unit which can communicate indirectly with the aerial vehicles via the base station and directly via a second data connection.
    Type: Application
    Filed: September 16, 2016
    Publication date: March 21, 2019
    Inventors: Michael ACHTELIK, Klaus DOTH, Daniel GURDAN, Jan STUMPF, Tobias GURDAN, Markus LÜTZENBURGER
  • Publication number: 20190049945
    Abstract: Herein is disclosed an unmanned aerial vehicle photography system comprising at least a first unmanned aerial vehicle and a second unmanned aerial vehicle; the first unmanned aerial vehicle further comprising one or more image sensors, configured to obtain a subject image of a subject; and one or more processors, configured to cause the one or more image sensors to obtain the subject image synchronously with the second unmanned aerial vehicle.
    Type: Application
    Filed: November 14, 2017
    Publication date: February 14, 2019
    Inventors: Marco MOELLER, Daniel POHL, Tobias GURDAN
  • Publication number: 20180136647
    Abstract: Disclosed are methods and systems for launching and recovering drones. The systems and methods may include: receiving, at a computing device comprising a processor, location data for each of a plurality of drones in a plurality of drones; receiving, at the computing device, frame data; and determining, by the computing device, a launch sequence for each of the plurality of drones using the location data and the frame data. The location data may define a launch point for each of the plurality of drones. The frame data may define a location for each of the plurality of drones to form an aerial image.
    Type: Application
    Filed: September 29, 2017
    Publication date: May 17, 2018
    Inventor: Tobias Gurdan
  • Publication number: 20180136646
    Abstract: Disclosed herein are systems and methods for generating a morphing sequence for an aerial show. The systems and methods may include: receiving, at a computing device comprising a processor, first frame data defining a first location for each of a plurality of drones in a first image of the aerial show; receiving, at the computing device, second frame data defining a second location for each of the plurality of drones in a second image of the aerial show; and generating the morphing sequence, the morphing sequence defining a flightpath for each of the plurality of drones to transition from the first location associated with the first image to the second location associated with the second image.
    Type: Application
    Filed: September 29, 2017
    Publication date: May 17, 2018
    Inventor: Tobias Gurdan
  • Publication number: 20180136670
    Abstract: Disclosed herein are systems and methods for distributing a plurality of drones to form an aerial image. The systems and methods may include: receiving, at a computing device comprising a processor, location data and drone data; distributing, by the computing device, a plurality of drones based on the aspects of an aerial image such that, during flight, the plurality of drones form the aerial image; and exporting, by the computing device, coordinates for each of the plurality of drones. The location data may define aspects of the aerial image to be formed by the plurality of drones. The drone data may include a number of drones within the plurality of drones. The coordinate for each of the plurality of drones may define a location for a respective drone within the aerial image.
    Type: Application
    Filed: September 29, 2017
    Publication date: May 17, 2018
    Inventor: Tobias Gurdan