[특허]Method for predicting impact and an impact prediction system for realizing the same by using neural networks

Method for predicting impact and an impact prediction system for realizing the same by using neural networks 원문보기

IPC분류정보
국가/구분	United States(US) Patent 등록
국제특허분류(IPC7판)	B60R-021/32
출원번호	US-0045247 (1993-04-13)
우선권정보	JP-0134465 (1992-04-28)
발명자 / 주소	Nishio Tomoyuki (Kawasaki JPX)
출원인 / 주소	Takata Corporation (Tokyo JPX 03)
인용정보	피인용 횟수 : 71 인용 특허 : 0

초록 ▼

A method for predicting impact by using neural networks comprising steps of supplying a predetermined crash curve to a first neural network having an intermediate layer to train said first neural network by means of learning calculation and supplying a predetermined air bag deployment limit curve to a second neural network to train said second neural network, supplying data indicative of crash curve obtained by an acceleration sensing device on collision to said first and second neural networks, predicting in said first neural network a time instance at which a threshold displacement is going to reach based on the basis of the training result in said first neural network, comparing in said second neural network data indicative of crash curve on said collision and said air bag deployment limit curve to produce a decision signal of deploying the air bag according to the comparison result, calculating said decision signal and said time instance, to deploy the air bag depending on the impact, and supplying an operation command signal to an air bag deployment operation device.

대표청구항 ▼

A method for predicting impact by using neural networks comprising steps of: supplying a predetermined crash curve as a first group of parallel training data to a first neural network having an intermediate layer to train said first neural network by means of a learning calculation of a back propagation network architecture and supplying a predetermined air bag deployment limit curve as a second group of training data to a second neural network to train said second neural network by a back propagation network architecture; supplying data indicative of a crash curve obtained by an acceleration sensing device when collision occurs as a set of data having a predetermined time interval to said first and second neural networks; predicting, based on initial data of the crash curve obtained from said first neural network, a displacement output from the initial data of the crash curve on the basis of the training result in said first neural network, and obtaining, based on the displacement output from the initial data, a time to reach the threshold for maximum occupant displacement in which an air bag can be opened to protect an occupant,; comparing in said second neural network data indicative of the crash curve on said collision in accordance with the training result in said second neural network and data obtained from the air bag deployment limit curve, and outputting a decision signal indicative of deploying the air bag only when the data for the crash curve are greater than the data from the air bag deployment limit curve; and supplying an air bag deployment operation command signal only when the time to reach the threshold for maximum occupant displacement is obtained in the first neural network and when the second neural network outputs the decision signal indicative of deploying the air bag.

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IPC	Description
A	생활필수품
A62	인명구조; 소방(사다리 E06C)
A62B	인명구조용의 기구, 장치 또는 방법(특히 의료용에 사용되는 밸브 A61M 39/00; 특히 물에서 쓰이는 인명구조 장치 또는 방법 B63C 9/00; 잠수장비 B63C 11/00; 특히 항공기에 쓰는 것, 예. 낙하산, 투출좌석 B64D; 특히 광산에서 쓰이는 구조장치 E21F 11/00)
A62B-1/08	.. 윈치 또는 풀리에 제동기구가 있는 것

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연합인증

Method for predicting impact and an impact prediction system for realizing the same by using neural networks 원문보기

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연합인증

Method for predicting impact and an impact prediction system for realizing the same by using neural networks 원문보기

초록 ▼

대표청구항 ▼

연구과제 타임라인

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이 특허를 인용한 특허 (71)

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