Patents by Inventor Matthias Arnold Pollach

Matthias Arnold Pollach 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: 10740658
    Abstract: Object recognition and classification based on data from multiple sensor modalities is disclosed. A computing system can detect an event in a monitored portion of an environment coordinate field associated with a vehicle. The computing system can retrieve data associated with the detected event from a plurality of modalities. At least one of the modalities can include raw data from a sensor associated with the vehicle. The computing system can classify the detected event based at least in part on the retrieved data and one or more parameters of a classifier.
    Type: Grant
    Filed: September 8, 2016
    Date of Patent: August 11, 2020
    Assignee: Mentor Graphics Corporation
    Inventors: Matthias Arnold Pollach, Ljubo Mercep
  • Patent number: 10678240
    Abstract: Systems, methods, and computer-readable storage mediums which use annotated environmental models for sensor modification are disclosed. A computing system receives an environmental model for a vehicle. The environmental model can include data from a plurality of modalities. Object annotations are received from sensors which are used to modify the environmental model, creating an annotated environmental model. A classification of a current situation is generated using the annotated environmental model, and a sensor is modified using the classification.
    Type: Grant
    Filed: September 8, 2016
    Date of Patent: June 9, 2020
    Assignee: Mentor Graphics Corporation
    Inventors: Matthias Arnold Pollach, Ljubo Mercep
  • Publication number: 20180067488
    Abstract: Determining a situational annotation of a vehicle based on an annotated environmental model is disclosed. A computing system receives an annotated environmental model for a vehicle. The annotated environmental model can include data from a plurality of modalities. The computing system uses a classifier to determine an annotation of the vehicle situation based, at least in part, on the annotated environmental model. The computing system provides the situational annotation to a driving functionality system. The driving functionality system is configured to use the situational annotation to generate signals to control operation the vehicle.
    Type: Application
    Filed: September 8, 2016
    Publication date: March 8, 2018
    Applicant: Mentor Graphics Corporation
    Inventors: Matthias Arnold Pollach, Ljubo Mercep
  • Publication number: 20180068206
    Abstract: Object recognition and classification based on data from multiple sensor modalities is disclosed. A computing system can detect an event in a monitored portion of an environment coordinate field associated with a vehicle. The computing system can retrieve data associated with the detected event from a plurality of modalities. At least one of the modalities can include raw data from a sensor associated with the vehicle. The computing system can classify the detected event based at least in part on the retrieved data and one or more parameters of a classifier.
    Type: Application
    Filed: September 8, 2016
    Publication date: March 8, 2018
    Applicant: Mentor Graphics Corporation
    Inventors: Matthias Arnold Pollach, Ljubo Mercep