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:
Oct. 27, 2020

Filed:

Dec. 10, 2018
Applicants:

Hyundai Motor Company, Seoul, KR;

Kia Motors Corporation, Seoul, KR;

Ajou University Industry-academic Cooperation Foundation, Suwon-si, Gyeonggi-do, KR;

Inventors:

Seul Ki Han, Seoul, KR;

Su Min Jo, Namyang-eup, KR;

Hoon Lee, Gunpo-si, KR;

Sang Won Lee, Yongin-si, KR;

Sung Woo Lee, Ulsan, KR;

Jong Gwan Lee, Suwon-si, KR;

Bong Sob Song, Seongnam-si, KR;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G08G 1/16 (2006.01); G06N 20/00 (2019.01); G01S 13/931 (2020.01); G01S 13/93 (2020.01);
U.S. Cl.
CPC ...
G08G 1/166 (2013.01); G01S 13/931 (2013.01); G06N 20/00 (2019.01); G08G 1/161 (2013.01); G01S 2013/932 (2020.01); G01S 2013/9322 (2020.01);
Abstract

A close cut-in vehicle identification apparatus includes an information generator configured to generate sensor fusion information, estimated vehicle state information, and risk determination information based on surrounding vehicle information upon receiving the surrounding vehicle information, a feature combination generator configured to extract a plurality of features based on the sensor fusion information, the estimated vehicle state information, and the risk determination information and to combine the extracted features to generate a plurality of feature combinations, a classification learner configured to classify and learn the plurality of feature combinations depending on a weight factor, and a vehicle intention determination device configured to determine intention of a surrounding vehicle based on a classification learning result value to select an optimum feature combination corresponding to identification of the close cut-in vehicle and configured to determine a situation of the close cut-in vehicle based on the selected optimum feature combination.


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