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This paper develops an enhanced method to represent the input uncertainty for response surface models (RSM) in the design optimization of automotive safety applications.Firstly,a novel Bootstrap sampling method is developed to handle the poor information of input,the re-sampled data are then used for the assessment of input uncertainty.The resulting integrated distribution acts as the initial information in the input uncertainty propagation process.The application on automotive safety shows its advantage in scheduling the design of experience to construct and correct response surface models.