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:
Jun. 04, 2024

Filed:

Feb. 26, 2021
Applicant:

Korea Advanced Institute of Science and Technology, Daejeon, KR;

Inventors:

Sei-Bum Choi, Daejeon, KR;

Min-Hyun Kim, Daejeon, KR;

Jin-Rak Park, Daejeon, KR;

Seung-In Shin, Daejeon, KR;

Jong-Chan Park, Daejeon, KR;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
B60W 40/06 (2012.01); B60W 40/068 (2012.01); G01S 15/88 (2006.01); G06F 18/213 (2023.01); G06F 18/2415 (2023.01); G06V 10/82 (2022.01); G06V 20/56 (2022.01);
U.S. Cl.
CPC ...
B60W 40/068 (2013.01); G01S 15/88 (2013.01); G06F 18/213 (2023.01); G06F 18/2415 (2023.01); G06V 10/82 (2022.01); G06V 20/56 (2022.01);
Abstract

The present invention relates to a method and apparatus for estimating a road surface type by using an ultrasonic signal and, more particularly, to a method for estimating a road surface type by using an artificial neural network model machine-learned with respect to a reflected ultrasonic signal and an apparatus for performing same. According to the present invention, provided are a method and apparatus for providing highly accurate road surface information at low cost, by machine-learning both characteristics of an ultrasonic signal reflected from a road surface and a road surface state, establishing a model between the two, and then estimating the type of the road surface by utilizing the model. In particular, even a road surface where thin ice, that is, black ice, is formed, which was not detectable in the conventional method for estimating a road-surface friction coefficient, may be accurately estimated, thereby contributing to safer driving.


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