Adaptive importance sampling for probabilistic validation of advanced driver assistance systems

conference paper
2006
Gietelink, O.J.

Schutter, B. de

Verhaegen, M.
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.
Topics
Automobile simulatorsComputer simulationDriver trainingIterative methodsAdaptive importance samplingDriver assistance systemsKernel density estimateRandomized algorithmsAutomobile drivers
TNO Identifier
239617
Repository link
https://resolver.tno.nl/uuid:a41e7437-fff8-4147-9c8e-e3a148619d6f
ISSN
07431619
ISBN
9781424402106
Article nr.
1657344
Source title
Proceedings American Control Conference, 14-16 June 2006, Minneapolis, MN, USA
Pages
4002-4007
Files
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