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Dokumenttyp:
Konferenzbeitrag 
Autor(en):
Wallner Johannes, Engel Sebastian, Diermeyer Frank 
Titel:
Predictive Modeling for Vehicle Time-Series Data 
Abstract:
The majority of data in current vehicles is evaluated solely in a local manner. The proposed method offers the possibility of using the latest data analysis techniques to develop functions for active safety and driver assistance systems, or vehicle testing of automated driving systems. We show an approach that combines the advantages of machine learning for logged vehicle data with the ability to use the predictive models created online in vehicles. Starting with intelligent data pre-pro...    »
 
Stichworte:
FTM Fahrerassistenz 
Kongress- / Buchtitel:
13th International Symposium on Advanced Vehicle Control, AVEC'16 
Konferenzort:
München 
Datum der Konferenz:
13.-16.09.2016 
Jahr:
2016 
Nachgewiesen in:
Scopus 
Reviewed:
ja 
TUM Einrichtung:
Lehrstuhl für Fahrzeugtechnik