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:
Dec. 12, 2023

Filed:

Oct. 12, 2018
Applicant:

Baidu Usa Llc, Sunnyvale, CA (US);

Inventor:

Fan Zhu, Sunnyvale, CA (US);

Assignee:

BAIDU USA LLC, Sunnyvale, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G01C 21/00 (2006.01); G01S 7/40 (2006.01); G01S 19/45 (2010.01); G05D 1/02 (2020.01); G01S 17/931 (2020.01); G01S 7/497 (2006.01); G05D 1/00 (2006.01); B60W 30/09 (2012.01); B60W 30/095 (2012.01); B60W 30/18 (2012.01); B60W 50/00 (2006.01); B60W 60/00 (2020.01); G01S 13/931 (2020.01); G01S 17/89 (2020.01);
U.S. Cl.
CPC ...
G01S 17/931 (2020.01); G01C 21/3837 (2020.08); G01S 7/40 (2013.01); G01S 7/497 (2013.01); G01S 19/45 (2013.01); G05D 1/0088 (2013.01); G05D 1/024 (2013.01); G05D 1/0278 (2013.01); G05D 2201/0213 (2013.01);
Abstract

In one embodiment, a set of LIDAR images are received representing the LIDAR point cloud data captured by a LIDAR device of an autonomous driving vehicle (ADV) at different point in times. Each of the LIDAR imagers is transformed or translated from a local coordinate system (e.g., LIDAR coordinate space) to a global coordinate system (e.g., GPS coordinate space) using a coordinate converter configured with a set of parameters. A first LIDAR reflection map is generated based on the transformed LIDAR images, for example, by merging the transformed LIDAR images together. The coordinate converter is optimized by adjusting one or more parameters of the coordinate converter based on the difference between the first LIDAR reflection map and a second LIDAR reflection map that serves as a reference LIDAR reflection map. The optimized coordinate converter can then be utilized to process LIDAR data for autonomous driving at real-time.


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