Abstract
Abstract The automotive innovations in the last decades are dominated by new software-based functions. A validation of these functions is always needed for ensuring the safety of the vehicles. XiL-methods are widely used for this purpose. Along with the development of automated driving vehicles, the demand for simulation based validation of such vehicles is rising, as shown by examples. For the simulations, the modeling of the perception sensors plays an essential role. A state-of-the-art survey clarifies, that a dilemma between simulation efficiency and fidelity of the current methods exists, especially when modeling active sensors. A novel concept of grey box modeling promises to solve the dilemma, or at least to defuse it. With a generalized sensor structure and a simplified propagation modeling, the grey box model considers the most important physically based performances of the sensors and their ranges. The basic structure of the modeling is sketched here, and an outlook for future requirements on it is presented.
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