Patents by Inventor Thomas Pfeil

Thomas Pfeil 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).

  • Patent number: 10994738
    Abstract: A method for operating an engine of a vehicle, in which after an execution of an automated gear change of a transmission of the vehicle, an acceleration force for accelerating the vehicle is requested when a force value representing a present drive force of the engine is in a tolerance band around a reference value determined before the gear change and a request signal for the acceleration force exists.
    Type: Grant
    Filed: January 7, 2020
    Date of Patent: May 4, 2021
    Assignee: Robert Bosch GmbH
    Inventors: Andreas Schultz, Benjamin Pfeil, Leo Michels, Thomas Brettschneider
  • Publication number: 20210065010
    Abstract: A method for compressing a deep neural network. The deep neural network includes a multitude of layers, which are each connected on the input side according to a predefinable sequence to their directly preceding layer of the sequence. The method includes adding a skip connection. Thereafter, a reduction of a resolution of the parameters of the layers follows. A computer program as well as to a device for carrying out the method are also described.
    Type: Application
    Filed: August 20, 2020
    Publication date: March 4, 2021
    Inventor: Thomas Pfeil
  • Publication number: 20210064995
    Abstract: A method for creating a pulsed neural network (Spiking Neural Network). The method begins with an assignment of a predefinable control pattern (rollout pattern) to a deep neural network. This is followed by a training of the deep neural network using the control pattern. This is followed by a conversion of the deep neural network into the pulsed neural network, the connections of the pulsed neural network being assigned a delay, in each case as a function of the control pattern. A computer program, a device for carrying out the method, and to a machine-readable memory element are also described.
    Type: Application
    Filed: July 23, 2020
    Publication date: March 4, 2021
    Applicants: Robert Bosch GmbH, Robert Bosch GmbH
    Inventors: Thomas Pfeil, Alexander Kugele
  • Publication number: 20200356845
    Abstract: A machine learning system, including at least one temporal filter. An input variable, encompassing a chronological sequence of images, is processed with the aid of the machine learning system, using the filter. The machine learning system is configured to use the filter on a sequence of pixels, which are all situated at identical coordinates of the images, or at identical coordinates of intermediate results. Filter coefficients of the filter are quantized. A method, a computer program, and a device for creating the machine learning system are also described.
    Type: Application
    Filed: April 28, 2020
    Publication date: November 12, 2020
    Inventor: Thomas Pfeil