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:
Feb. 28, 2023

Filed:

Sep. 13, 2019
Applicant:

The Boeing Company, Chicago, IL (US);

Inventor:

Yuri Owechko, Newbury Park, CA (US);

Assignee:

The Boeing Company, Chicago, IL (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G05D 1/00 (2006.01); G05D 1/02 (2020.01); G06K 9/62 (2022.01); G06T 5/00 (2006.01); G06V 20/58 (2022.01); G01S 13/931 (2020.01); G01C 3/08 (2006.01); G01S 13/86 (2006.01); G01S 13/42 (2006.01);
U.S. Cl.
CPC ...
G05D 1/0088 (2013.01); G05D 1/0231 (2013.01); G06K 9/6289 (2013.01); G06T 5/003 (2013.01); G06V 20/58 (2022.01); G01C 3/08 (2013.01); G01S 13/42 (2013.01); G01S 13/86 (2013.01); G01S 13/931 (2013.01); G01S 2013/9323 (2020.01); G06T 2207/10028 (2013.01); G06T 2207/30261 (2013.01);
Abstract

A method for obstacle detection and navigation of a vehicle using resolution-adaptive fusion includes performing, by a processor, a resolution-adaptive fusion of at least a first three-dimensional (3D) point cloud and a second 3D point cloud to generate a fused, denoised, and resolution-optimized 3D point cloud that represents an environment associated with the vehicle. The first 3D point cloud is generated by a first-type 3D scanning sensor, and the second 3D point cloud is generated by a second-type 3D scanning sensor. The second-type 3D scanning sensor includes a different resolution in each of a plurality of different measurement dimensions relative to the first-type 3D scanning sensor. The method also includes detecting obstacles and navigating the vehicle using the fused, denoised, and resolution-optimized 3D point cloud.


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