발명에 따른 종방향 차량속도 및 휠속도에 기반하여 인공 신경망 분류 로직을 이용한 도로노면 마찰계수 추정 방법은, 차량 제동시에 차량에 장착된 센서로부터 얻은 종 방향속도, 휠 속도, 제동 신호를 기반으로 하여 기설정된 변수들의 평균값을 계산하는 단계; 상기 변수들의 평균값들을 인공 신경망 분류 로직(ANN Classifier)을 통해 경향성을 학습하는 단계; 및 상기 인공 신경망 분류 로직을 활용하여 마찰 계수를 추정하는 단계;를 포함하는 것을 특징으로 한다.

    According to the present invention, a road surface friction coefficient estimation method using an ANN classifier (an artificial neural network classification logic) based on longitudinal vehicle speed and wheel speed. The method comprises: a step of calculating an average value of preset variables based on longitudinal speed, wheel speed, and a braking signal obtained from a sensor mounted in a vehicle during braking of a vehicle; a step of learning tendency of the average values of the variables through the ANN classifier; and a step of estimating a friction coefficient using the ANN classifier.


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    Title :

    ANN Classifier Road surface friction coefficient estimation method using ANN Classifier based on longitudinal vehicle speed and wheel speed


    Additional title:

    종방향 차량속도 및 휠속도에 기반하여 ANN Classifier를 이용한 도로노면 마찰계수 추정 방법


    Publication date :

    2022-11-21


    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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