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:
May. 01, 2018

Filed:

Dec. 27, 2013
Applicants:

Hyundai Motor Company, Seoul, KR;

Kia Motors Corporation, Seoul, KR;

Industry-academic Cooperation Foundation, Yonsei University, Seoul, KR;

Inventors:

Minkyun Yoo, Seoul, KR;

Hyunju Kim, Gyeonggi-Do, KR;

Hoon Lee, Seoul, KR;

Youngwon Kim, Gyeonggi-Do, KR;

Hyungsun Jang, Gyeonggi-Do, KR;

Baehoon Choi, Seoul, KR;

Beomseong Kim, Seoul, KR;

Euntai Kim, Seoul, KR;

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G01B 5/02 (2006.01); G01B 5/14 (2006.01); G01B 7/02 (2006.01); G01B 7/14 (2006.01); G01B 11/02 (2006.01); G01B 11/14 (2006.01); G01B 13/02 (2006.01); G01B 21/02 (2006.01); G01C 22/00 (2006.01); G01B 11/24 (2006.01); G01S 17/93 (2006.01); G01S 7/48 (2006.01); G01S 17/02 (2006.01); G01S 17/42 (2006.01); G06K 9/00 (2006.01);
U.S. Cl.
CPC ...
G01B 11/24 (2013.01); G01B 11/14 (2013.01); G01S 7/4802 (2013.01); G01S 17/936 (2013.01); G01S 17/023 (2013.01); G01S 17/42 (2013.01); G06K 9/00805 (2013.01); G06T 2207/10028 (2013.01); G06T 2207/20021 (2013.01);
Abstract

An apparatus and method for extracting a feature point to recognize an obstacle using a laser scanner are provided. The apparatus includes a laser scanner that is installed at a front of a traveling vehicle and is configured to obtain laser scanner data having a plurality of layers in real time. In addition, a controller is configured to separate the laser scanner data obtained by the laser scanner into a plurality of layers to extract measurement data present in each layer and determine feature points of the measurement data to classify a type of obstacle based on a plurality of stored feature points.


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