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:
Jan. 03, 2023

Filed:

Dec. 19, 2018
Applicants:

Dalong LI, Troy, MI (US);

Alex Smith, LaSalle, CA;

Stephen Horton, Rochester, MI (US);

Inventors:

Dalong Li, Troy, MI (US);

Alex Smith, LaSalle, CA;

Stephen Horton, Rochester, MI (US);

Assignee:

FCA US LLC, Auburn Hills, MI (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01C 3/08 (2006.01); G01S 17/89 (2020.01); G06T 7/70 (2017.01); G05D 1/02 (2020.01); G05D 1/00 (2006.01); G06T 17/05 (2011.01); G01S 17/931 (2020.01); G06V 20/58 (2022.01); G06V 20/64 (2022.01);
U.S. Cl.
CPC ...
G01S 17/89 (2013.01); G01S 17/931 (2020.01); G05D 1/0088 (2013.01); G05D 1/024 (2013.01); G06T 7/70 (2017.01); G06T 17/05 (2013.01); G06V 20/58 (2022.01); G06V 20/64 (2022.01); G05D 2201/0213 (2013.01); G06T 2207/10028 (2013.01); G06T 2207/30252 (2013.01);
Abstract

A semi-automatic three-dimensional light detection and ranging (LIDAR) point cloud data annotation system and method for autonomous driving of a vehicle involve filtering 3D LIDAR point cloud and normalizing the filtered 3D LIDAR point cloud data relative to the vehicle to obtain normalized 3D LIDAR point cloud data, quantizing the normalized 3D LIDAR point cloud data by dividing it into a set of 3D voxels, projecting the set of 3D voxels to a 2D birdview, identifying a possible object by applying clustering to the 2D birdview projection, obtaining an annotated 2D birdview projection including annotations by a human annotator via the annotation system regarding whether the bounding box corresponds to a confirmed object and a type of the confirmed object, and converting the annotated 2D birdview projection to back into annotated 3D LIDAR point cloud data.


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