Patents by Inventor Andreas Jianhao Aumiller

Andreas Jianhao Aumiller 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).

  • Camera-to-LiDAR calibration and validation
    Patent number: 11940539
    Abstract: An automatic calibration and validation pipeline is disclosed to estimate and evaluate the accuracy of extrinsic parameters of a camera-to-LiDAR coordinate transformation. In an embodiment, an automated and unsupervised calibration procedure is employed where the computed rotational and translational parameters (“extrinsic parameters”) of the camera-to-LiDAR coordinate transformation are automatically estimated and validated, and upper bounds on the accuracy of the extrinsic parameters are set. The calibration procedure combines three-dimensional (3D) plane, vector and point correspondences to determine the extrinsic parameters, and the resulting coordinate transformation is validated by analyzing the projection of a filtered point cloud including a validation target in the image space. A single camera image and LiDAR scan (a “single shot”) are used to calibrate and validate the extrinsic parameters.
    Type: Grant
    Filed: December 16, 2020
    Date of Patent: March 26, 2024
    Assignee: Motional AD LLC
    Inventors: Paul Aurel Diederichs, Maurilio Di Cicco, Jun Shern Chan, Andreas Jianhao Aumiller, Francisco Alejandro Suarez Ruiz
  • CAMERA-TO-LIDAR CALIBRATION AND VALIDATION
    Publication number: 20210192788
    Abstract: An automatic calibration and validation pipeline is disclosed to estimate and evaluate the accuracy of extrinsic parameters of a camera-to-LiDAR coordinate transformation. In an embodiment, an automated and unsupervised calibration procedure is employed where the computed rotational and translational parameters (“extrinsic parameters”) of the camera-to-LiDAR coordinate transformation are automatically estimated and validated, and upper bounds on the accuracy of the extrinsic parameters are set. The calibration procedure combines three-dimensional (3D) plane, vector and point correspondences to determine the extrinsic parameters, and the resulting coordinate transformation is validated by analyzing the projection of a filtered point cloud including a validation target in the image space. A single camera image and LiDAR scan (a “single shot”) are used to calibrate and validate the extrinsic parameters.
    Type: Application
    Filed: December 16, 2020
    Publication date: June 24, 2021
    Inventors: Paul Aurel Diederichs, Maurilio Di Cicco, Jun Shern Chan, Andreas Jianhao Aumiller, Francisco Alejandro Suarez Ruiz