The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Mar. 26, 2024

Filed:

Dec. 16, 2020
Applicant:

Motional Ad Llc, Boston, MA (US);

Inventors:

Paul Aurel Diederichs, Graefelfing, DE;

Maurilio Di Cicco, Singapore, SG;

Jun Shern Chan, Singapore, SG;

Andreas Jianhao Aumiller, Singapore, SG;

Francisco Alejandro Suarez Ruiz, Singapore, SG;

Assignee:

Motional AD LLC, Boston, MA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01S 17/931 (2020.01); G01S 7/497 (2006.01); G01S 17/89 (2020.01); G06F 18/22 (2023.01); G06F 18/23 (2023.01); G06T 7/80 (2017.01); G06V 10/762 (2022.01); G06V 20/56 (2022.01);
U.S. Cl.
CPC ...
G01S 17/931 (2020.01); G01S 7/497 (2013.01); G01S 17/89 (2013.01); G06F 18/22 (2023.01); G06F 18/23 (2023.01); G06T 7/80 (2017.01); G06V 10/7635 (2022.01); G06T 2207/10028 (2013.01); G06T 2207/30252 (2013.01); G06V 20/56 (2022.01);
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. In addition to only requiring a single shot, the complete procedure solely relies on one or more planar calibration targets and simple geometrical validation targets.


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