Open AccessNew Off-Board Solution for Predicting Vehicles' Intentions in the Highway On-Ramp Using Probabilistic Classifiers (Student Abstract)
Author(s) -
Zine el abidine Kherroubi,
Samir Aknine,
Rebiha Bacha
Publication year - 2020
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v34i10.7193
Subject(s) - probabilistic logic , on board , computer science , artificial intelligence , machine learning , transport engineering , operations research , engineering , aerospace engineering
This paper proposes a new approach for predicting drivers' intentions in a Highway on-ramp merge situation using a central road side unit (RSU) with probabilistic classifiers.
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