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:
Sep. 06, 2016

Filed:

Apr. 29, 2015
Applicant:

Shenzhen Mercury Optoelectronics Research Institute, Shenzhen, CN;

Inventor:

Shuda Yu, Shenzhen, CN;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G01V 8/10 (2006.01); B25J 9/16 (2006.01); G05D 1/02 (2006.01);
U.S. Cl.
CPC ...
G01V 8/10 (2013.01); B25J 9/1666 (2013.01); B25J 9/1697 (2013.01); G05D 1/0214 (2013.01); G05D 1/0246 (2013.01); G05B 2219/39082 (2013.01); G05B 2219/40519 (2013.01); Y10S 901/01 (2013.01);
Abstract

A visual-based obstacle detection method is provided. The method includes receiving image information of an environment containing a mobile robot captured by at least one visual sensor to obtain one of a three-dimensional space and a two-dimensional plane, and extracting and matching feature geometric primitives based on the received image information. The method also includes reconstructing coordinates of matched extracted feature geometric primitives and positions and orientations of the visual sensor and optimizing the reconstructed coordinates to obtain a calculation result, wherein the calculation result includes the feature geometric primitives, the positions and orientations of the visual sensor, as well as visible constraint relationships between the feature geometric primitives and the positions and orientations. Further, the method includes detecting obstacles in the environment containing the mobile robot based on the obtained calculation result and plotting a path for automatic motion of the mobile robot based on the detected obstacles.


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