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. 19, 2023

Filed:

Sep. 22, 2021
Applicant:

Shanghaitech University, Shanghai, CN;

Inventors:

Qi Deng, Shanghai, CN;

Hao Sun, Shanghai, CN;

Yajun Ha, Shanghai, CN;

Hui Wang, Shanghai, CN;

Assignee:

SHANGHAITECH UNIVERSITY, Shanghai, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
B60W 60/00 (2020.01);
U.S. Cl.
CPC ...
B60W 60/001 (2020.02); B60W 2420/52 (2013.01); B60W 2554/4049 (2020.02);
Abstract

A normal distributions transform (NDT) method for LiDAR point cloud localization in unmanned driving is provided. The method proposes a non-recursive, memory-efficient data structure occupation-aware-voxel-structure (OAVS), which speeds up each search operation. Compared with a tree-based structure, the proposed data structure OAVS is easy to parallelize and consumes only about 1/10 of memory. Based on the data structure OAVS, the method proposes a semantic-assisted OAVS-based (SEO)-NDT algorithm, which significantly reduces the number of search operations, redefines a parameter affecting the number of search operations, and removes a redundant search operation. In addition, the method proposes a streaming field-programmable gate array (FPGA) accelerator architecture, which further improves the real-time and energy-saving performance of the SEO-NDT algorithm. The method meets the real-time and high-precision requirements of smart vehicles for three-dimensional (3D) lidar localization.


Find Patent Forward Citations

Loading…