This paper investigates the possibility of computing the actual position of a passenger car based on different independent internal signals available in a production car. A new front wheel based dead reckoning approach is compared to a model based approach as well as to an Extended Kalman Filter. Depending on the method the input signals are the wheel revolutions of the front wheels, the steering angle and the yaw rate. Experimental results show the quality of all three lgorithms compared to position data obtained by a DGPS system and also to the well known rear wheel based dead reckoning approach.