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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 (2023)
Algorithm for driver intention detection with Fuzzy Logic and Edit Distance.
18th International Conference on Intelligent Transportation Systems (ITSC 2015). Gran Canaria, Spain (15.09.2015-18.09.2015)
doi: 10.26083/tuprints-00024599
Conference or Workshop Item, Secondary publication, Postprint

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Item Type: Conference or Workshop Item
Type of entry: Secondary publication
Title: Algorithm for driver intention detection with Fuzzy Logic and Edit Distance
Language: English
Date: 17 October 2023
Place of Publication: Darmstadt
Year of primary publication: 2015
Place of primary publication: Los Alamitos (CA), USA
Publisher: IEEE
Book Title: 2015 IEEE 18th International Conference on Intelligent Transportation Systems
Collation: 6 Seiten
Event Title: 18th International Conference on Intelligent Transportation Systems (ITSC 2015)
Event Location: Gran Canaria, Spain
Event Dates: 15.09.2015-18.09.2015
DOI: 10.26083/tuprints-00024599
Corresponding Links:
Origin: Secondary publication service
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.

Uncontrolled Keywords: driver intention detection, maneuver prediction, Edit Distance, Fuzzy Logic
Status: Postprint
URN: urn:nbn:de:tuda-tuprints-245992
Classification DDC: 600 Technology, medicine, applied sciences > 620 Engineering and machine engineering
Divisions: 16 Department of Mechanical Engineering > Ergonomics (IAD)
Date Deposited: 17 Oct 2023 09:12
Last Modified: 24 Oct 2023 07:30
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/24599
PPN: 512643199
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