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.
Downloads
- Corresponding technical report:
pdf
file
(346 KB)
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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Last update: February 21, 2026.