Adaptive importance sampling for probabilistic validation of advanced driver assistance systems

Reference:
O. Gietelink, B. De Schutter, and M. Verhaegen, "Adaptive importance sampling for probabilistic validation of advanced driver assistance systems," Proceedings of the 2006 American Control Conference, Minneapolis, Minnesota, pp. 4002-4007, June 2006.

Abstract:
We present an approach for validation of advanced driver assistance systems, based on randomized algorithms. The new method consists of an iterative randomized simulation using adaptive importance sampling. The randomized algorithm is more efficient than conventional simulation techniques. The importance sampling pdf is estimated by a kernel density estimate, based on the results from the previous iteration. The concept is illustrated with a simple adaptive cruise control problem.

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Corresponding technical report: pdf file (187 KB)
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Bibtex entry:

@inproceedings{GieDeS:06-003,
        author={O. Gietelink and B. {D}e Schutter and M. Verhaegen},
        title={Adaptive importance sampling for probabilistic validation of advanced driver assistance systems},
        booktitle={Proceedings of the 2006 American Control Conference},
        address={Minneapolis, Minnesota},
        pages={4002--4007},
        month=jun,
        year={2006}
        }

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