O.J. Gietelink, B. De Schutter, and M. Verhaegen, "Probabilistic approach for validation of advanced driver assistance systems," Transportation Research Record, no. 1910, pp. 20-28, 2005.
This paper presents a methodological approach for validation of advanced driver assistance systems. The methodology relies on the use of randomized algorithms that are more efficient than conventional validation using simulations and field tests, especially with increasing complexity of the system. The methodology consists of first specifying the perturbation space and performance criteria. Then a minimum number of samples and a relevant sampling space is selected. Next an iterative randomized simulation is executed, followed by validation of the simulation model by hardware tests, in order to increase the reliability of the estimated performance. The proof of concept is illustrated with some examples of a case study involving an adaptive cruise control system. The case study also points out some characteristic properties of randomized algorithms regarding the necessary sample complexity, and the sensitivity to model uncertainty. Solutions for these issues are proposed as well as corresponding recommendations for future research.