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:
Aug. 24, 2021

Filed:

Mar. 26, 2021
Applicant:

Tsinghua University, Beijing, CN;

Inventors:

Xinyu Zhang, Beijing, CN;

Zhiwei Li, Beijing, CN;

Huaping Liu, Beijing, CN;

Yiqian Lu, Beijing, CN;

Yuchao Liu, Beijing, CN;

Assignee:

TSINGHUA UNIVERSITY, Beijing, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G01S 17/894 (2020.01); G01S 7/48 (2006.01); G06T 7/13 (2017.01); G06K 9/46 (2006.01); G06T 7/70 (2017.01); G06K 9/62 (2006.01);
U.S. Cl.
CPC ...
G01S 17/894 (2020.01); G01S 7/4808 (2013.01); G06K 9/4671 (2013.01); G06K 9/6265 (2013.01); G06T 7/13 (2017.01); G06T 7/70 (2017.01); G06T 2207/10028 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30252 (2013.01);
Abstract

A LiDAR point cloud reflection intensity complementation method includes: acquiring a grayscale image and an original point cloud of a same road surface using a calibrated vehicle-mounted webcam and LiDAR; extracting edge information of the grayscale image using a preset edge extraction strategy, to obtain an edge image of the grayscale image; preprocessing the original point cloud to obtain an original point cloud reflection intensity projection image and an interpolated complementary point cloud reflection intensity projection image; and inputting the grayscale image, the edge image of the grayscale image, the original point cloud reflection intensity projection image and the interpolated complementary point cloud reflection intensity projection image into a pre-trained point cloud reflection intensity complementation model, and outputting a complementary point cloud reflection intensity projection image. A LiDAR point cloud reflection intensity complementation system is further provided.


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