Patents by Inventor Daniel Bogdoll

Daniel Bogdoll 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).

  • Augmenting real sensor recordings with simulated sensor data
    Patent number: 11487988
    Abstract: Original sensor data is received from one or more sensors of a vehicle. Free space around the vehicle is identified according to the sensor data, such as by identifying regions where data points have a height below a threshold. A location for an object model is selected from the free space. A plane is fitted to sensor data around the location and the object model is oriented according to an orientation of the plane. Sensing of the object model by a sensor of the vehicle is simulated to obtain simulated data, which is then added to the original sensor data. Sensor data corresponding to objects that would have been obscured by the object model is removed from the original sensor data. Augmented sensor data may be used to validate a control algorithm or train a machine learning model.
    Type: Grant
    Filed: August 31, 2017
    Date of Patent: November 1, 2022
    Assignee: Ford Global Technologies, LLC
    Inventors: Daniel Bogdoll, Shreyasha Paudel, Tejaswi Koduri
  • Augmenting real sensor recordings with simulated sensor data
    Patent number: 11455565
    Abstract: Original sensor data is received from one or more sensors of a vehicle. Free space around the vehicle is identified according to the sensor data, such as by identifying regions where data points have a height below a threshold. A location for an object model is selected from the free space. A plane is fitted to sensor data around the location and the object model is oriented according to an orientation of the plane. Sensing of the object model by a sensor of the vehicle is simulated to obtain simulated data, which is then added to the original sensor data. Sensor data corresponding to objects that would have been obscured by the object model is removed from the original sensor data. Augmented sensor data may be used to validate a control algorithm or train a machine learning model.
    Type: Grant
    Filed: August 31, 2017
    Date of Patent: September 27, 2022
    Assignee: Ford Global Technologies, LLC
    Inventors: Daniel Bogdoll, Shreyasha Paudel, Tejaswi Koduri
  • Augmenting Real Sensor Recordings With Simulated Sensor Data
    Publication number: 20190065637
    Abstract: Original sensor data is received from one or more sensors of a vehicle. Free space around the vehicle is identified according to the sensor data, such as by identifying regions where data points have a height below a threshold. A location for an object model is selected from the free space. A plane is fitted to sensor data around the location and the object model is oriented according to an orientation of the plane. Sensing of the object model by a sensor of the vehicle is simulated to obtain simulated data, which is then added to the original sensor data. Sensor data corresponding to objects that would have been obscured by the object model is removed from the original sensor data. Augmented sensor data may be used to validate a control algorithm or train a machine learning model.
    Type: Application
    Filed: August 31, 2017
    Publication date: February 28, 2019
    Inventors: Daniel Bogdoll, Shreyasha Paudel, Tejaswi Koduri
  • Augmenting Real Sensor Recordings With Simulated Sensor Data
    Publication number: 20190065933
    Abstract: Original sensor data is received from one or more sensors of a vehicle. Free space around the vehicle is identified according to the sensor data, such as by identifying regions where data points have a height below a threshold. A location for an object model is selected from the free space. A plane is fitted to sensor data around the location and the object model is oriented according to an orientation of the plane. Sensing of the object model by a sensor of the vehicle is simulated to obtain simulated data, which is then added to the original sensor data. Sensor data corresponding to objects that would have been obscured by the object model is removed from the original sensor data. Augmented sensor data may be used to validate a control algorithm or train a machine learning model.
    Type: Application
    Filed: August 31, 2017
    Publication date: February 28, 2019
    Inventors: Daniel Bogdoll, Shreyasha Paudel, Tejaswi Koduri