New Off-Board Solution for Predicting Vehicles' Intentions in the Highway On-Ramp Using Probabilistic Classifiers (Student Abstract)

Authors

  • Zine El Abidine Kherroubi Groupe Renault
  • Samir Aknine Claude Bernard Lyon 1 University
  • Rebiha Bacha Groupe Renault

DOI:

https://doi.org/10.1609/aaai.v34i10.7193

Abstract

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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Published

2020-04-03

How to Cite

Kherroubi, Z. E. A., Aknine, S., & Bacha, R. (2020). New Off-Board Solution for Predicting Vehicles’ Intentions in the Highway On-Ramp Using Probabilistic Classifiers (Student Abstract). Proceedings of the AAAI Conference on Artificial Intelligence, 34(10), 13841-13842. https://doi.org/10.1609/aaai.v34i10.7193

Issue

Vol. 34 No. 10: Issue 10: AAAI-20 Student Tracks

Section

Student Abstract Track