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:
Sep. 08, 2026

Filed:

May. 13, 2022
Applicant:

Motional Ad Llc, Boston, MA (US);

Inventors:

Nicole Alexandra Camous, Singapore, SG;

Sergi Adipraja Widjaja, Singapore, SG;

Taigo Maria Bonanni, Singapore, SG;

Venice Erin Baylon Liong, Singapore, SG;

Assignee:

Motional AD LLC, Boston, MA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01S 17/89 (2020.01); G01S 17/931 (2020.01); G06V 10/764 (2022.01); G06V 10/77 (2022.01); G06V 10/80 (2022.01); G06V 10/82 (2022.01); B60W 60/00 (2020.01);
U.S. Cl.
CPC ...
G01S 17/89 (2013.01); G01S 17/931 (2020.01); G06V 10/764 (2022.01); G06V 10/7715 (2022.01); G06V 10/809 (2022.01); G06V 10/82 (2022.01); B60W 60/001 (2020.02); B60W 2420/408 (2024.01);
Abstract

Provided are methods, systems, and computer program products for machine-learning based point cloud alignment classification. An example method may include: obtaining at least two light detection and ranging (LiDAR) point clouds; processing the at least two LiDAR point clouds using at least one classifier network; obtaining at least one output dataset from the at least one classifier network; determining that the at least two LiDAR point clouds are misaligned based on the at least one output dataset; and performing a first action based on the determining that the at least two LiDAR point clouds are misaligned.


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