Ontology-based traffic scene modeling, traffic regulations dependent situational awareness and decision-making for automated vehicles

Titel:: Ontology-based traffic scene modeling, traffic regulations dependent situational awareness and decision-making for automated vehicles
Dokumenttyp:: Konferenzbeitrag
Autor(en):: Buechel, Martin; Hinz, Gereon; Ruehl, Frederik; Schroth, Hans; Gyoeri, Csaba; Knoll, Alois
Kongress- / Buchtitel:: 2017 IEEE Intelligent Vehicles Symposium (IV)
Verlag / Institution:: IEEE
Publikationsdatum:: 01.06.2017
Jahr:: 2017
Print-ISBN:: 9781509048045
Volltext / DOI:: doi:10.1109/ivs.2017.7995917
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