Patents by Inventor Jason Zink

Jason Zink 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: 20180314092
    Abstract: A system for a vehicle comprises a medium arranged in front of a target in the vehicle, a target monitoring system arranged in front of the target in the vehicle capturing an image or a profile of the target, and a processing unit communicatively coupled the target monitoring camera to the medium, analyzed the captured image or profile of the target, wherein the processing unit arranged to analyze the obtained images or profile of the target and cause the medium to switch from a transparent mode to an opaque mode.
    Type: Application
    Filed: April 24, 2018
    Publication date: November 1, 2018
    Inventors: Ryan P. Todd, Jason Zink, Andy Woodrich
  • Patent number: 9803576
    Abstract: A system to predict calibration values for a vehicle. The system is configured to receive a plurality of training data sets for a component of the vehicle. Each of the plurality of training data sets includes one or more training inputs and one or more corresponding training outputs. The system is further configured to automatically develop a prediction model based on the plurality of training data sets. The system is further configured to receive an input data set and determine, using the prediction model, a predicted calibration value based on the input data set. The system is further configured to transmit the predicted calibration value to an electronic control unit of the vehicle.
    Type: Grant
    Filed: February 16, 2016
    Date of Patent: October 31, 2017
    Assignee: Robert Bosch GmbH
    Inventors: Roland Commenda, Kevin Respondek, Jason Zink, Lukas Speer, Soundararajan Srinivasan, Joel Janai, Courtland A. VanDam
  • Publication number: 20170234251
    Abstract: A system to predict calibration values for a vehicle. The system is configured to receive a plurality of training data sets for a component of the vehicle. Each of the plurality of training data sets includes one or more training inputs and one or more corresponding training outputs. The system is further configured to automatically develop a prediction model based on the plurality of training data sets. The system is further configured to receive an input data set and determine, using the prediction model, a predicted calibration value based on the input data set. The system is further configured to transmit the predicted calibration value to an electronic control unit of the vehicle.
    Type: Application
    Filed: February 16, 2016
    Publication date: August 17, 2017
    Inventors: Roland Commenda, Kevin Respondek, Jason Zink, Lukas Speer, Soundararajan Srinivasan, Joel Janai, Courtland A. VanDam