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| 국가/구분 | United States(US) Patent 등록 |
|---|---|
| 국제특허분류(IPC7판) |
|
| 출원번호 | US-0375249 (1995-01-19) |
| 우선권정보 | JP-0229201 (1992-08-04) |
| 발명자 / 주소 |
|
| 출원인 / 주소 |
|
| 인용정보 | 피인용 횟수 : 480 인용 특허 : 0 |
A system for predicting and evading crash of a vehicle includes an image pick-up device mounted on the vehicle for picking up images of actual ever-changing views when the vehicle is on running to produce actual image data, a crash predicting device associated with said image pick-up device, said cr
A system for predicting and evading crash of a vehicle includes an image pick-up device mounted on the vehicle for picking up images of actual ever-changing views when the vehicle is on running to produce actual image data, a crash predicting device associated with said image pick-up device, said crash predicting device being successively supplied with the actual image data for predicting occurrence of crash between the vehicle and potentially dangerous objects on the roadway to produce an operational signal when there is possibility of crash and a safety drive ensuring device connected to said crash predicting device for actuating, in response to the operational signal, an occupant protecting mechanism which is operatively connected thereto and equipped in the vehicle. The crash predicting device includes a neural network which is previously trained with training data to predict the possibility of crash, the training data representing ever-changing views previously picked-up from said image picking-up device during driving of the vehicle for causing actual crash.
A system for predicting and evading crash of a vehicle comprising: image pick-up means mounted on the vehicle for picking up images of actual views in a direction of running of the vehicle while running of the vehicle, crash predicting means having a neural network, said neural network containing pr
A system for predicting and evading crash of a vehicle comprising: image pick-up means mounted on the vehicle for picking up images of actual views in a direction of running of the vehicle while running of the vehicle, crash predicting means having a neural network, said neural network containing previously taken image data formed of successive scenes for causing accidents and being trained by a back propagation method for recognizing conditions in image data which cause said accidents, said neural network having an input layer formed of processing elements arranged parallel to each other, said input layer continuously receiving actual image data obtained from the image pick-up means, said neural network receiving the actual image data obtained from the image pick-up means while running of the vehicle, evaluating the actual image data by comparing it to said previously taken image data for causing the accidents, judging if the vehicle is predicted to crash based on the comparison of said previously taken image data with an object noticed in the actual image data of the image pick-up means, and outputting an operational signal in case of prediction of occurrence of a crash with said object, and safety drive ensuring means connected to said crash predicting means, said safety drive ensuring means, in response to the operational signal, operating to evade the crash between the vehicle and the object for protecting an occupant of the vehicle.
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