Reference
O. J. Gietelink, B. De Schutter, and M.
Verhaegen, "A probabilistic approach for validation of advanced driver
assistance systems,"
Proceedings of the 8th TRAIL Congress
2004 - A World of Transport, Infrastructure and Logistics - CD-ROM,
Rotterdam, The Netherlands, 17 pp., Nov. 2004.
Abstract
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 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.
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BibTeX
@inproceedings{GieDeS:04-016,
author = {Gietelink, Olaf J. and De Schutter, Bart and Verhaegen,
Michel},
title = {A Probabilistic Approach for Validation of Advanced Driver
Assistance Systems},
booktitle = {Proceedings of the 8th TRAIL Congress 2004 -- A World of
Transport, Infrastructure and Logistics -- CD-ROM},
address = {Rotterdam, The Netherlands},
month = nov,
year = {2004}
}