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:
Jul. 26, 2022

Filed:

Dec. 31, 2021
Applicant:

Tsinghua University, Beijing, CN;

Inventors:

Xinyu Zhang, Beijing, CN;

Jun Li, Beijing, CN;

Li Wang, Beijing, CN;

Jianxi Luo, Beijing, CN;

Huaping Liu, Beijing, CN;

Yuchao Liu, Beijing, CN;

Assignee:

TSINGHUA UNIVERSITY, Beijing, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01S 7/41 (2006.01); G06V 10/80 (2022.01); G06V 10/82 (2022.01); G06V 20/64 (2022.01); G01S 13/42 (2006.01); G06V 10/774 (2022.01); G01S 13/86 (2006.01); G01S 13/89 (2006.01); G06V 10/77 (2022.01);
U.S. Cl.
CPC ...
G01S 7/417 (2013.01); G01S 13/42 (2013.01); G01S 13/865 (2013.01); G01S 13/89 (2013.01); G06V 10/774 (2022.01); G06V 10/7715 (2022.01); G06V 10/806 (2022.01); G06V 10/82 (2022.01); G06V 20/64 (2022.01);
Abstract

A 3D object detection method based on multi-view feature fusion of 4D RaDAR and LiDAR point clouds includes simultaneously acquiring RaDAR point cloud data and LiDAR point cloud data; and inputting the RaDAR point cloud data and the lidar point cloud data into a pre-established and trained RaDAR and LiDAR fusion network and outputting a 3D object detection result, wherein the RaDAR and LiDAR fusion network is configured to learn interaction information of a LiDAR and a RaDAR from a bird's eye view and a perspective view, respectively, and concatenate the interaction information to achieve fusion of the RaDAR point cloud data and the lidar point cloud data. The method can combine advantages of RaDAR and LiDAR, while avoiding disadvantages of the two modalities as much as possible to obtain a better 3D object detection result.


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