Patents by Inventor Walter S. Lasecki

Walter S. Lasecki 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).

  • Reconstructing 3D video using particle filtering to aggregate crowd responses
    Patent number: 11361500
    Abstract: A method is disclosed for reconstructing three-dimensional video from two-dimensional video data using particle filtering and thereby generating training data for autonomous vehicles. In one version, the method comprises: receiving a set of annotations associated with a video frame comprising a view of at least a portion of a vehicle, each annotation comprising at least one two-dimensional line; removing at least one outlier from the set of annotations; determining an estimated vehicle model based on the set of annotations; and providing the estimated vehicle model to a driving simulator.
    Type: Grant
    Filed: December 5, 2019
    Date of Patent: June 14, 2022
    Assignee: THE REGENTS OF THE UNIVERSITY OF MICHIGAN
    Inventors: Jean Young S. Kwon, Stephan Lemmer, Jason Corso, Walter S. Lasecki
  • Reconstructing 3D Video Using Particle Filtering To Aggregate Crowd Responses
    Publication number: 20200202615
    Abstract: A method is disclosed for reconstructing three-dimensional video from two-dimensional video data using particle filtering and thereby generating training data for autonomous vehicles. In one version, the method comprises: receiving a set of annotations associated with a video frame comprising a view of at least a portion of a vehicle, each annotation comprising at least one two-dimensional line; removing at least one outlier from the set of annotations; determining an estimated vehicle model based on the set of annotations; and providing the estimated vehicle model to a driving simulator.
    Type: Application
    Filed: December 5, 2019
    Publication date: June 25, 2020
    Inventors: Jean Young S. Kwon, Stephan Lemmer, Jason Corso, Walter S. Lasecki
  • System and method for adaptive, rapidly deployable, human-intelligent sensor feeds
    Patent number: 10657385
    Abstract: The disclosure describes a sensor system that provides end users with intelligent sensing capabilities, and embodies both crowd sourcing and machine learning together. Further, a sporadic crowd assessment is used to ensure continued sensor accuracy when the system is relying on machine learning analysis. This sensor approach requires minimal and non-permanent sensor installation by utilizing any device with a camera as a sensor host, and provides human-centered and actionable sensor output.
    Type: Grant
    Filed: March 25, 2016
    Date of Patent: May 19, 2020
    Assignees: CARNEGIE MELLON UNIVERSITY, a Pennsylvania Non-Pro fit Corporation, UNIVERSITY OF ROCHESTER
    Inventors: Gierad Laput, Christopher Harrison, Jeffrey P. Bigham, Walter S. Lasecki, Bo Robert Xiao, Jason Wiese
  • System and Method for Adaptive, Rapidly Deployable, Human-Intelligent Sensor Feeds
    Publication number: 20180107879
    Abstract: The disclosure describes a sensor system that provides end users with intelligent sensing capabilities, and embodies both crowd sourcing and machine learning together. Further, a sporadic crowd assessment is used to ensure continued sensor accuracy when the system is relying on machine learning analysis. This sensor approach requires minimal and non-permanent sensor installation by utilizing any device with a camera as a sensor host, and provides human-centered and actionable sensor output.
    Type: Application
    Filed: March 25, 2016
    Publication date: April 19, 2018
    Applicant: CARNEGIE MELLON UNIVERSITY, a Pennsylvania Non-Pro fit Corporation
    Inventors: Gierad Laput, Christopher Harrison, Jeffrey P. Bigham, Walter S. Lasecki, Bo Robert Xiao, Jason Wiese