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

Zine El Abidine Kherroubi, Samir Aknine, Rebiha Bacha

AAAI 2020 pp. 13841-13842

doi:10.1609/AAAI.V34I10.7193 /aaai/2020/kherroubi2020aaai-new/

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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Cite

Text

Kherroubi et al. "New Off-Board Solution for Predicting Vehicles' Intentions in the Highway On-Ramp Using Probabilistic Classifiers (Student Abstract)." AAAI Conference on Artificial Intelligence, 2020. doi:10.1609/AAAI.V34I10.7193

Markdown

[Kherroubi et al. "New Off-Board Solution for Predicting Vehicles' Intentions in the Highway On-Ramp Using Probabilistic Classifiers (Student Abstract)." AAAI Conference on Artificial Intelligence, 2020.](https://mlanthology.org/aaai/2020/kherroubi2020aaai-new/) doi:10.1609/AAAI.V34I10.7193

BibTeX

@inproceedings{kherroubi2020aaai-new,
  title     = {{New Off-Board Solution for Predicting Vehicles' Intentions in the Highway On-Ramp Using Probabilistic Classifiers (Student Abstract)}},
  author    = {Kherroubi, Zine El Abidine and Aknine, Samir and Bacha, Rebiha},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2020},
  pages     = {13841-13842},
  doi       = {10.1609/AAAI.V34I10.7193},
  url       = {https://mlanthology.org/aaai/2020/kherroubi2020aaai-new/}
}