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:
Aug. 18, 2020

Filed:

Dec. 20, 2017
Applicant:

Samsung Electronics Co., Ltd., Suwon-si, Gyeonggi-do, KR;

Inventors:

Jun-Ik Jang, Bucheon-si, KR;

Ye-Hoon Kim, Seoul, KR;

So-jung Yun, Seoul, KR;

Jin-ho Lee, Suwon-si, KR;

Do-jun Yang, Yongin-si, KR;

Han-sung Lee, Yongin-si, KR;

Soon-hyuk Hong, Suwon-si, KR;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
B60W 30/095 (2012.01); B60W 50/14 (2020.01); G06N 3/08 (2006.01); G06K 9/00 (2006.01); B60K 28/06 (2006.01); B60W 50/00 (2006.01); B60W 40/08 (2012.01); G06N 3/04 (2006.01);
U.S. Cl.
CPC ...
B60W 30/0956 (2013.01); B60K 28/06 (2013.01); B60W 50/14 (2013.01); G06K 9/00791 (2013.01); G06K 9/00805 (2013.01); G06K 9/00845 (2013.01); G06N 3/08 (2013.01); G06N 3/084 (2013.01); B60W 2040/0818 (2013.01); B60W 2050/0071 (2013.01); B60W 2050/146 (2013.01); B60W 2420/42 (2013.01); B60W 2520/10 (2013.01); B60W 2520/105 (2013.01); G06N 3/04 (2013.01);
Abstract

An electronic apparatus is provided. The electronic apparatus includes at least one processor configured to detect, by a sensor, a driving state of a vehicle or a driving state of another vehicle in a vicinity of the vehicle while the vehicle is being driven, obtain state data including the driving state of the vehicle and the driving state of the other vehicle, and use at least one data recognition model to determine a dangerous situation of the vehicle after a certain period of time while the vehicle is being driven, based on the obtained state data. The electronic apparatus may predict a dangerous situation of the vehicle by using a rule-based algorithm or an artificial intelligence (AI) algorithm. The electronic apparatus predicts the dangerous situation of the vehicle by using at least one of machine learning, a neural network, and a deep learning algorithm.


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