Estimation of hidden driver properties based on the driving behavior
Type of publication: | Inproceedings |
Citation: | held2011ci |
Booktitle: | Proceedings of 21. Workshop Computational Intelligence |
Series: | Schriftenreihe des Instituts für Angewandte Informatik / Automatisierungstechnik |
Number: | 40 |
Year: | 2011 |
Month: | December |
Pages: | 1-14 |
Publisher: | Karlsruher Institut für Technologie |
ISSN: | 1614-5267 |
ISBN: | 978-3-86644-743-1 |
URL: | http://uvka.ubka.uni-karlsruhe... |
Abstract: | Given a better knowledge about the driver the car’s driver assistance systems could be specifically adapted, potentially increasing the systems’ acceptance. Our purpose is to estimate hidden driver properties underlying the driving behavior. We used a linear combination of different quantities as basis of the similarity calculation. With the aid of an evolutionary algorithm we determined these quantities as well as their weights. In a study with 26 subjects three hidden target properties were examined and estimated. We reached a correlation of approximately 0.7 between the predicted values and given measurements. In order to exclude overfitting of the model, an additional optimization was carried out using random values. In this case only a considerably smaller correlation of 0.36 could be achieved. As a consequence we observed that the basic assumption applies at least to the three examined target properties. We conclude that an estimation based on driving behavior is possible. |
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Added by: | [] |
Total mark: | 0 |
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