Patents by Inventor Tobias Menne

Tobias Menne 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: 11723298
    Abstract: The present invention relates to the efficient use of application agents in the cultivation of crop plants. Based on application-agent-specific information and information on a partial-area-specific requirement of a field for the application agent, a partial-area-specific and application-agent-specific application map is prepared that indicates for individual partial areas of the field whether and how the application agent is to be used.
    Type: Grant
    Filed: September 11, 2017
    Date of Patent: August 15, 2023
    Inventors: Ole Peters, Tobias Menne, Alexei Melnitchouck
  • Publication number: 20190357420
    Abstract: The present invention relates to the efficient use of application agents in the cultivation of crop plants. Based on application-agent-specific information and information on a partial-area-specific requirement of a field for the application agent, a partial-area-specific and application-agent-specific application map is prepared that indicates for individual partial areas of the field whether and how the application agent is to be used.
    Type: Application
    Filed: September 11, 2017
    Publication date: November 28, 2019
    Inventors: Ole PETERS, Tobias MENNE, Alexei MELNITCHOUCK
  • Patent number: 10109219
    Abstract: A method for sign language recognition includes receiving, with an input device, an input based on a plurality of hand movements and postures of a user that correspond to a sequence of signs, extracting a plurality of features from the input corresponding to the plurality of hand movements and postures, identifying, a start of the sequence of signs in the input based on a first set of features in the plurality of features and a first Hidden Markov Model (HMM) stored in the memory and identifying a first sign in the input based on a second set of features in the plurality of features and a second HMM stored in the memory. The method also includes generating an output corresponding to the first sign from the input.
    Type: Grant
    Filed: April 15, 2016
    Date of Patent: October 23, 2018
    Assignee: Robert Bosch GmbH
    Inventors: Zhengyu Zhou, Tobias Menne, Kehuang Li, Kui Xu, Zhe Feng, Chin-Hui Lee
  • Publication number: 20160307469
    Abstract: A method for sign language recognition includes receiving, with an input device, an input based on a plurality of hand movements and postures of a user that correspond to a sequence of signs, extracting a plurality of features from the input corresponding to the plurality of hand movements and postures, identifying, a start of the sequence of signs in the input based on a first set of features in the plurality of features and a first Hidden Markov Model (HMM) stored in the memory and identifying a first sign in the input based on a second set of features in the plurality of features and a second HMM stored in the memory. The method also includes generating an output corresponding to the first sign from the input.
    Type: Application
    Filed: April 15, 2016
    Publication date: October 20, 2016
    Inventors: Zhengyu Zhou, Tobias Menne, Kehuang Li, Kui Xu, Zhe Feng, Chin-Hui Lee