In this paper an approach for the localization of passengers inside a vehicle by the use of ultra wideband technology (UWB) is presented. Established approaches as static background subtraction for the separation of fore- and background show good performance in static scenes. But in the case of a dynamic surrounding such as a car’s interior, former techniques are limited, since significant errors are produced as soon as the scene gets dynamic.
Instead of trying to separate fore- and background, the presented approach involves the complete data set in a first step. Since human breathing shows certain behaviour such as a typical frequency and amplitude, the breathing movement can be separated from other movement or static parts of the radar scan. The respiration and by that the passenger inside a vehicle is located and tracked.