Nils Hirsenkorn, Timo Hanke, Andreas Rauch, Bernhard Dehlink, Ralph Rasshofer, and Erwin Biebl
Adv. Radio Sci., 14, 31–37, https://doi.org/10.5194/ars-14-31-2016,https://doi.org/10.5194/ars-14-31-2016, 2016
Short summary
Short summary
Increased complexity and severity of future driver assistance systems demand extensive testing and validation. For driver assistance functions the perception of the sensors is crucial. Therefore, sensors also have to be modeled. In this contribution, a statistical data-driven sensor-model, is described. The method is widely applicable and able to adapt to complex behavior. As exemplary implementation, a model of an automotive radar system, using a high precision measurement system, is presented.