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. 03, 2020

Filed:

Nov. 23, 2016
Applicant:

Baidu Usa Llc, Sunnyvale, CA (US);

Inventors:

Quan Wang, Sunnyvale, CA (US);

Jing Zhai, Sunnyvale, CA (US);

Assignee:

BAIDU USA LLC, Sunnyvale, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01C 21/30 (2006.01); G05D 1/02 (2020.01); G06N 20/00 (2019.01); G01S 17/02 (2020.01); G01S 17/06 (2006.01); G01S 7/48 (2006.01); G01S 13/86 (2006.01); G05D 1/00 (2006.01); G01C 21/32 (2006.01);
U.S. Cl.
CPC ...
G05D 1/0274 (2013.01); G01C 21/30 (2013.01); G01S 7/4808 (2013.01); G01S 13/86 (2013.01); G01S 17/023 (2013.01); G01S 17/06 (2013.01); G05D 1/0088 (2013.01); G06N 20/00 (2019.01); G01C 21/32 (2013.01);
Abstract

Location of an autonomous driving vehicle (ADV) is determined with respect to a high definition map. On-boards sensors of the ADV obtain a 3D point cloud of objects surrounding the ADV. The 3D point cloud is organized into an ADV feature space of cells. Each cell has a median intensity value and a variance in elevation. To determine the ADV location, a coarse search of a subset of cells in the ADV feature space performed with respect to the high definition map, using a similarity metric that is based on the median intensity and variance in elevation of the candidate cell. When similarity of the first candidate cell is determined, a lookup table of similarity scores is generated and used for determining the similarity score for subsequent candidate cells. Then a fine search is performed on a small subset of candidate cells surrounding the highest similarity score cell.


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