DocumentCode :
3681733
Title :
Algorithm for Driver Intention Detection with Fuzzy Logic and Edit Distance
Author :
Jens Heine;Michael Sylla;Ingmar Langer;Thomas Schramm;Bettina Abendroth;Ralph Bruder
Author_Institution :
Human Factors Center, Adam Opel AG, Ruesselsheim, Germany
fYear :
2015
Firstpage :
1022
Lastpage :
1027
Abstract :
Driver intention detection is helpful to parameterize advanced driver assistance systems to reduce the warning dilemma and so to raise the driver´s acceptance for such systems. An algorithm to predict driver´s intention with Fuzzy Logic and Edit Distance is presented. The main features and the functionality is explained. The necessary steps for training and validation of the algorithm are presented. The performance of the first configuration is discussed and the future steps for improving the performance are shown.
Keywords :
"Vehicles","Prediction algorithms","Input variables","Algorithm design and analysis","Roads","Databases","Fuzzy logic"
Publisher :
ieee
Conference_Titel :
Intelligent Transportation Systems (ITSC), 2015 IEEE 18th International Conference on
ISSN :
2153-0009
Electronic_ISBN :
2153-0017
Type :
conf
DOI :
10.1109/ITSC.2015.170
Filename :
7313262
Link To Document :
بازگشت