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. 16, 2024

Filed:

Dec. 08, 2021
Applicant:

Tongji Artificial Intelligence Research Institute (Suzhou) Co. Ltd., Suzhou, CN;

Inventors:

Hao Chen, Suzhou, CN;

Ruoyu Deng, Suzhou, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01C 21/00 (2006.01); G06T 7/73 (2017.01);
U.S. Cl.
CPC ...
G01C 21/3841 (2020.08); G01C 21/3811 (2020.08); G06T 7/74 (2017.01); G06T 2207/10016 (2013.01); G06T 2207/10024 (2013.01); G06T 2207/10028 (2013.01); G06T 2207/20221 (2013.01);
Abstract

A vision-and-laser-fused 2.5D map building method includes: calculating inter-image frame transformation according to an RGB-D image sequence to establish a visual front-end odometer; taking a visual front-end initial estimation as an initial value of scanning matching, and performing laser front-end coarse-grained and fine-grained searches; performing loop closure detection, and performing back-end global optimization on a 2.5D map according to a detected closed loop; and performing incremental update on visual feature dimensions of the 2.5D map, and performing occupation probability update on grid dimensions. The 2.5D map is built using a method of fusing a laser grid and visual features, and compared with a pure laser map and a pure visual map, richness of dimensions is improved, and completeness of information expression is improved; the 2.5D map building method is not influenced by single sensor failure, and can still stably work in a scenario of sensor degradation.


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