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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BibTeX
@inproceedings{GieDeS:06-003,
author = {Gietelink, Olaf and De Schutter, Bart and Verhaegen, Michel},
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}
}