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Algorithm for driver intention detection with Fuzzy Logic and Edit Distance

Heine, Jens ; Sylla, Michael ; Schramm, Thomas ; Langer, Ingmar ; Abendroth, Bettina ; Bruder, Ralph (2015)
Algorithm for driver intention detection with Fuzzy Logic and Edit Distance.
18th International Conference on Intelligent Transportation Systems (ITSC 2015). Gran Canaria, Spain (15.09. - 18.09.2015)
doi: 10.1109/ITSC.2015.170
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (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 to 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 the algorithm and the validation are presented. The performance of the first configuration is discussed and the future steps for improving the performance are shown.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2015
Autor(en): Heine, Jens ; Sylla, Michael ; Schramm, Thomas ; Langer, Ingmar ; Abendroth, Bettina ; Bruder, Ralph
Art des Eintrags: Bibliographie
Titel: Algorithm for driver intention detection with Fuzzy Logic and Edit Distance
Sprache: Englisch
Publikationsjahr: 2015
Ort: Los Alamitos (CA), USA
Verlag: IEEE
Buchtitel: 2015 IEEE 18th International Conference on Intelligent Transportation Systems
Veranstaltungstitel: 18th International Conference on Intelligent Transportation Systems (ITSC 2015)
Veranstaltungsort: Gran Canaria, Spain
Veranstaltungsdatum: 15.09. - 18.09.2015
DOI: 10.1109/ITSC.2015.170
Kurzbeschreibung (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 to 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 the algorithm and the validation are presented. The performance of the first configuration is discussed and the future steps for improving the performance are shown.

Freie Schlagworte: driver intention detection, maneuver prediction, Edit Distance, Fuzzy Logic
Fachbereich(e)/-gebiet(e): 16 Fachbereich Maschinenbau
16 Fachbereich Maschinenbau > Institut für Arbeitswissenschaft (IAD)
Hinterlegungsdatum: 09 Nov 2015 13:29
Letzte Änderung: 06 Okt 2023 12:34
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