Patents by Inventor Daniel Grill

Daniel Grill 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: 10999156
    Abstract: The disclosed embodiments are directed to a mobility services platform for self-healing mobility clients. In an embodiment, a method comprises: obtaining, by one or more server computers, diagnostic data from a plurality of mobility clients; applying, by the one or more server computers, machine learning to the diagnostic data; identifying, by the one or more server computers, outlier data resulting from the machine learning; identifying, by the one or more server computers and from the outlier data, a new error class; determining, by the one or more server computers, an impact of the error class (e.g., short-term, medium-term, long-term impact) on the plurality of mobility clients; and generating, by the one or more server computers and based on the determined impact, an update for the plurality of mobility clients.
    Type: Grant
    Filed: September 12, 2019
    Date of Patent: May 4, 2021
    Assignee: Aptiv Technologies Limited
    Inventors: Daniel Grill, Tao Lin, Mahbubul Alam
  • Patent number: 10922069
    Abstract: Flexible, multidimensional infrastructure scaling for cloud-based over-the-air (OTA) systems is disclosed.
    Type: Grant
    Filed: September 14, 2019
    Date of Patent: February 16, 2021
    Assignee: Aptiv Technologies Limited
    Inventors: Daniel Grill, Tao Lin, Mahbubul Alam
  • Publication number: 20200104113
    Abstract: Flexible, multidimensional infrastructure scaling for cloud-based over-the-air (OTA) systems is disclosed.
    Type: Application
    Filed: September 14, 2019
    Publication date: April 2, 2020
    Inventors: Daniel Grill, Tao Lin, Mahbubul Alam
  • Publication number: 20200106678
    Abstract: The disclosed embodiments are directed to a mobility services platform for self-healing mobility clients. In an embodiment, a method comprises: obtaining, by one or more server computers, diagnostic data from a plurality of mobility clients; applying, by the one or more server computers, machine learning to the diagnostic data; identifying, by the one or more server computers, outlier data resulting from the machine learning; identifying, by the one or more server computers and from the outlier data, a new error class; determining, by the one or more server computers, an impact of the error class (e.g., short-term, medium-term, long-term impact) on the plurality of mobility clients; and generating, by the one or more server computers and based on the determined impact, an update for the plurality of mobility clients.
    Type: Application
    Filed: September 12, 2019
    Publication date: April 2, 2020
    Inventors: Daniel Grill, Tao Lin, Mahbubul Alam
  • Patent number: 6609051
    Abstract: A method and system for an improved vehicle monitoring system in order to provide a cost-effective and scalable system design for industrial application through the use of machine learning and data mining technologies on data acquired from a plurality of vehicles to create models. Frequent acquisition of vehicle sensor and diagnostic data enables comparison with the created models to provide continuing analysis of the vehicle with respect to repair, maintenance and diagnostics.
    Type: Grant
    Filed: September 10, 2001
    Date of Patent: August 19, 2003
    Assignee: DaimlerChrysler AG
    Inventors: Claude-Nicolas Fiechter, Mehmet H. Göker, Daniel Grill, Rainer Kaufmann, Thorsten Engelhardt, Achim Bertsche
  • Publication number: 20030114965
    Abstract: A method and system for an improved vehicle monitoring system in order to provide a cost-effective and scalable system design for industrial application through the use of machine learning and data mining technologies on data acquired from a plurality of vehicles to create models. Frequent acquisition of vehicle sensor and diagnostic data enables comparison with the created models to provide continuing analysis of the vehicle with respect to repair, maintenance and diagnostics.
    Type: Application
    Filed: September 10, 2001
    Publication date: June 19, 2003
    Inventors: Claude-Nicolas Fiechter, Mehmet H. Goeker, Daniel Grill, Rainer Kaufmann, Thorsten Engelhardt, Achim Bertsche