A Probabilistic Approach for Validation of Advanced Driver Assistance
Systems
Reference
O.J. Gietelink,
B. De Schutter, and
M. Verhaegen,
"A Probabilistic Approach for Validation of Advanced Driver Assistance
Systems," Proceedings of the 84th Annual Meeting of
the Transportation Research Board, Washington, DC, 24 pp., Jan.
2005. Paper 05-1524.
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 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.
Downloads
- Corresponding technical report:
pdf
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(461 KB)
Bibtex entry
@inproceedings{GieDeS:04-029,
author={O.J. Gietelink and B. {D}e Schutter and M. Verhaegen},
title={A Probabilistic Approach for Validation of Advanced Driver Assistance
Systems},
booktitle={Proceedings of the 84th Annual Meeting of the Transportation Research
Board},
address={Washington, DC},
month=jan,
year={2005},
note={Paper 05-1524}
}
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