Patents by Inventor Oliver Wilhelm Knieps

Oliver Wilhelm Knieps 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).

  • OBJECT DETECTION USING PLANAR HOMOGRAPHY AND SELF-SUPERVISED SCENE STRUCTURE UNDERSTANDING
    Publication number: 20240046409
    Abstract: In various examples, a single camera is used to capture two images of a scene from different locations. A trained neural network, taking the two images as inputs, outputs a scene structure map that indicates a ratio of height and depth values for pixel locations associated with the images. This ratio may indicate the presence of an object above a surface (e.g., road surface) within the scene. Object detection then can be performed on non-zero values or regions within the scene structure map.
    Type: Application
    Filed: October 18, 2023
    Publication date: February 8, 2024
    Inventors: Le An, Yu-Te Cheng, Oliver Wilhelm Knieps, Su Inn Park
  • Object detection using planar homography and self-supervised scene structure understanding
    Patent number: 11830160
    Abstract: In various examples, a single camera is used to capture two images of a scene from different locations. A trained neural network, taking the two images as inputs, outputs a scene structure map that indicates a ratio of height and depth values for pixel locations associated with the images. This ratio may indicate the presence of an object above a surface (e.g., road surface) within the scene. Object detection then can be performed on non-zero values or regions within the scene structure map.
    Type: Grant
    Filed: August 19, 2020
    Date of Patent: November 28, 2023
    Assignee: NVIDIA Corporation
    Inventors: Le An, Yu-Te Cheng, Oliver Wilhelm Knieps, Su Inn Park
  • OBJECT DETECTION USING PLANAR HOMOGRAPHY AND SELF-SUPERVISED SCENE STRUCTURE UNDERSTANDING
    Publication number: 20210350150
    Abstract: In various examples, a single camera is used to capture two images of a scene from different locations. A trained neural network, taking the two images as inputs, outputs a scene structure map that indicates a ratio of height and depth values for pixel locations associated with the images. This ratio may indicate the presence of an object above a surface (e.g., road surface) within the scene. Object detection then can be performed on non-zero values or regions within the scene structure map.
    Type: Application
    Filed: August 19, 2020
    Publication date: November 11, 2021
    Inventors: Le An, Yu-Te Cheng, Oliver Wilhelm Knieps, Su Inn Park