Patents by Inventor Stephan Lemmer

Stephan Lemmer 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: 20240133022
    Abstract: The invention relates to a sputtering target, a coating system, and a coating method for same. The sputtering target comprises a base plate with a target plate which is secured thereon and which is made of a first sputtering material with a surface and a plurality of recesses formed therein. A plurality of inserts are arranged in the recesses. At least some of the inserts are made of a second sputtering material, wherein the second sputtering material has a higher sputter yield than the first sputtering material. The aim of the invention is to achieve especially uniform coatings. This is achieved in that the inserts made of the second sputtering material are shaped such that the extent D1, D2 of the inserts, measured in a measuring direction parallel to the surface, increases from the surface to the base plate in a depth direction T.
    Type: Application
    Filed: February 22, 2022
    Publication date: April 25, 2024
    Applicant: CemeCon AG
    Inventors: Oliver LEMMER, Werner KÖLKER, Jürgen BALZEREIT, Stephan BOLZ
  • Patent number: 11361500
    Abstract: A method is disclosed for reconstructing three-dimensional video from two-dimensional video data using particle filtering and thereby generating training data for autonomous vehicles. In one version, the method comprises: receiving a set of annotations associated with a video frame comprising a view of at least a portion of a vehicle, each annotation comprising at least one two-dimensional line; removing at least one outlier from the set of annotations; determining an estimated vehicle model based on the set of annotations; and providing the estimated vehicle model to a driving simulator.
    Type: Grant
    Filed: December 5, 2019
    Date of Patent: June 14, 2022
    Assignee: THE REGENTS OF THE UNIVERSITY OF MICHIGAN
    Inventors: Jean Young S. Kwon, Stephan Lemmer, Jason Corso, Walter S. Lasecki
  • Publication number: 20200202615
    Abstract: A method is disclosed for reconstructing three-dimensional video from two-dimensional video data using particle filtering and thereby generating training data for autonomous vehicles. In one version, the method comprises: receiving a set of annotations associated with a video frame comprising a view of at least a portion of a vehicle, each annotation comprising at least one two-dimensional line; removing at least one outlier from the set of annotations; determining an estimated vehicle model based on the set of annotations; and providing the estimated vehicle model to a driving simulator.
    Type: Application
    Filed: December 5, 2019
    Publication date: June 25, 2020
    Inventors: Jean Young S. Kwon, Stephan Lemmer, Jason Corso, Walter S. Lasecki