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Lethaus, Firas and Baumann, Martin and Köster, Frank and Lemmer, Karsten (2011) Using pattern recognition to predict driver intent. In: Adaptive and Natural Computing Algorithms, ICANNGA 2011, Part 1 Lecture Notes in Computer Science, 6593. Springer-Verlag. pp. 140-149. ISBN 978 3 642 20281 0. ISSN 0302-9743
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| Item URL in elib: | https://elib.dlr.de/69584/ | |||||||||||||||
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| Document Type: | Contribution to a Collection | |||||||||||||||
| Title: | Using pattern recognition to predict driver intent | |||||||||||||||
| Authors: |
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| Date: | 2011 | |||||||||||||||
| Journal or Publication Title: | Adaptive and Natural Computing Algorithms, ICANNGA 2011, Part 1 | |||||||||||||||
| Refereed publication: | Yes | |||||||||||||||
| Open Access: | No | |||||||||||||||
| Gold Open Access: | No | |||||||||||||||
| In SCOPUS: | No | |||||||||||||||
| In ISI Web of Science: | No | |||||||||||||||
| Volume: | 6593 | |||||||||||||||
| Page Range: | pp. 140-149 | |||||||||||||||
| Editors: |
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| Publisher: | Springer-Verlag | |||||||||||||||
| Series Name: | Lecture Notes in Computer Science | |||||||||||||||
| ISSN: | 0302-9743 | |||||||||||||||
| ISBN: | 978 3 642 20281 0 | |||||||||||||||
| Status: | Published | |||||||||||||||
| Keywords: | Pattern Recognition, Driver Intent, Driving Manoeuvres, Eye Tracking, Artificial Neural Networks, Machine Learning, Signal Detection Theory, ROC curves | |||||||||||||||
| HGF - Research field: | Aeronautics, Space and Transport (old) | |||||||||||||||
| HGF - Program: | Transport | |||||||||||||||
| HGF - Program Themes: | Terrestrial Vehicles (old) | |||||||||||||||
| DLR - Research area: | Transport | |||||||||||||||
| DLR - Program: | V BF - Bodengebundene Fahrzeuge | |||||||||||||||
| DLR - Research theme (Project): | V - Fahrerassistenz (old) | |||||||||||||||
| Location: | Braunschweig | |||||||||||||||
| Institutes and Institutions: | Institute of Transportation Systems > Automotive | |||||||||||||||
| Deposited By: | Lethaus, Firas | |||||||||||||||
| Deposited On: | 20 Apr 2011 08:20 | |||||||||||||||
| Last Modified: | 20 Apr 2011 08:20 |
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