The present invention relates to a method and an apparatus for estimating a type of road surface using an ultrasonic signal, and more specifically, to a method and an apparatus for estimating a type of road surface using an artificial neural network model that is machine-learned about a reflected ultrasonic signal. According to the present invention, provided are the method and the apparatus for providing highly accurate road information at low costs by machine learning the characteristics of the ultrasonic signal reflected from the road surface and a road surface state and establishing a model between the two. In particular, the present invention contributes to safer driving by accurately estimating even for a road surface with black ice, which could not be recognized by a conventional road friction coefficient estimation method.

    본 발명은 초음파 신호를 이용한 노면 종류 추정 방법 및 장치에 관한 것으로서, 반사된 초음파 신호에 대하여 기계학습(machine learning)된 인공신경망 모델을 이용하여 노면의 종류를 추정하는 방법 및 이를 수행하는 장치에 관한 것이다. 본 발명에 의하면, 노면에서 반사된 초음파 신호의 특성과 노면 상태를 머신 러닝하여 그 둘 간의 모델을 확립하고 이를 활용하여 노면의 종류를 추정함으로써, 저렴한 비용으로 매우 정확한 노면 정보를 제공하는 방법 및 장치를 제공한다. 특히, 종래 노면 마찰계수 추정 방법에서는 파악할 수 없었던 얇은 얼음이 형성된 도로면(black ice)까지도 정확하게 추정해 냄으로써 더욱 안전 운전에 기여하게 되는 효과가 있다.


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    Title :

    Method and apparatus for estimation of tire-road type by using ultrasonic signal


    Additional title:

    초음파 신호를 이용한 노면 종류 추정 방법 및 장치


    Contributors:
    CHOI SEI BUM (author) / KIM MIN HYUN (author) / PARK JIN RAK (author) / SHIN SEUNG IN (author) / PARK JONG CHAN (author)

    Publication date :

    2020-03-10


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Korean


    Classification :

    IPC:    B60W CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION , Gemeinsame Steuerung oder Regelung von Fahrzeug-Unteraggregaten verschiedenen Typs oder verschiedener Funktion / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen




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