Patents by Inventor Felix Stahl

Felix Stahl 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).

  • Detection of a hands-off condition through machine learning
    Patent number: 11912283
    Abstract: Technologies and techniques for automatically generating labeled steering torque data, with which an artificial intelligence (AI) unit is trained to detect hands-off conditions when the vehicle is being operated.
    Type: Grant
    Filed: July 16, 2020
    Date of Patent: February 27, 2024
    Assignee: Volkswagen Aktiengesellschaft
    Inventors: Thomas Eigel, Felix Stahl
  • Recognition of hands-off situations based on swarm data
    Patent number: 11345401
    Abstract: The invention relates to a method for improving hands-off recognition in a vehicle with steering torque-based recognition in that swarm data are provided from vehicles that recognize hands-off situations with hand distance sensors in the steering wheel. Both recognition results over a certain route section are compared and, in the case of deviations, the correctness of the results of the hand distance sensors is assumed. On this basis, route sections are determined in which steering torque-based recognition is unreliable. Based on this recognition, systems with steering torque evaluation can then be re-parameterized in order to be more reliable relative to the route.
    Type: Grant
    Filed: September 10, 2020
    Date of Patent: May 31, 2022
    Assignee: VOLKSWAGEN AKTIENGESELLSCHAFT
    Inventors: Thomas Eigel, Felix Stahl
  • Recognition Of Hands-Off Situations Based On Swarm Data
    Publication number: 20210070358
    Abstract: The invention relates to a method for improving hands-off recognition in a vehicle with steering torque-based recognition in that swarm data are provided from vehicles that recognize hands-off situations with hand distance sensors in the steering wheel. Both recognition results over a certain route section are compared and, in the case of deviations, the correctness of the results of the hand distance sensors is assumed. On this basis, route sections are determined in which steering torque-based recognition is unreliable. Based on this recognition, systems with steering torque evaluation can then be re-parameterized in order to be more reliable relative to the route.
    Type: Application
    Filed: September 10, 2020
    Publication date: March 11, 2021
    Applicant: Volkswagen Aktiengesellschaft
    Inventors: Thomas Eigel, Felix Stahl
  • DETECTION OF A HANDS-OFF SITUATION THROUGH MACHINE LEARNING
    Publication number: 20210024075
    Abstract: Technologies and techniques for automatically generating labeled steering torque data, with which an artificial intelligence (AI) unit is trained to detect hands-off conditions when the vehicle is being operated.
    Type: Application
    Filed: July 16, 2020
    Publication date: January 28, 2021
    Inventors: Thomas Eigel, Felix Stahl