Detecting and Tracking Unsafe Lane Departure Events for Predicting Driver Safety in Challenging Naturalistic Driving Data.

Riera L, Ozcan K, Merickel J, Rizzo M, Sarkar S, Sharma A

DOI: 10.1109/iv47402.2020.9304536
Published: 2020 Oct-Nov
Container: IEEE Intelligent Vehicles Symposium. IEEE Intelligent Vehicles Symposium
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1109/iv47402.2020.9304536,
  title = {Detecting and Tracking Unsafe Lane Departure Events for Predicting Driver Safety in Challenging Naturalistic Driving Data.},
  author = {Riera L and Ozcan K and Merickel J and Rizzo M and Sarkar S and Sharma A},
  year = {2020},
  journal = {IEEE Intelligent Vehicles Symposium. IEEE Intelligent Vehicles Symposium},
  doi = {10.1109/iv47402.2020.9304536},
  url = {https://doi.org/10.1109/iv47402.2020.9304536}
}

RIS

TY  - JOUR
TI  - Detecting and Tracking Unsafe Lane Departure Events for Predicting Driver Safety in Challenging Naturalistic Driving Data.
AU  - Riera L
AU  - Ozcan K
AU  - Merickel J
AU  - Rizzo M
AU  - Sarkar S
AU  - Sharma A
PY  - 2020
JO  - IEEE Intelligent Vehicles Symposium. IEEE Intelligent Vehicles Symposium
DO  - 10.1109/iv47402.2020.9304536
UR  - https://doi.org/10.1109/iv47402.2020.9304536
ER  -

APA

L, R., K, O., J, M., M, R., S, S., & A, S. (2020). Detecting and Tracking Unsafe Lane Departure Events for Predicting Driver Safety in Challenging Naturalistic Driving Data.. IEEE Intelligent Vehicles Symposium. IEEE Intelligent Vehicles Symposium. https://doi.org/10.1109/iv47402.2020.9304536

Source records

pubmed · retrieved 2026-11-10T11:24:05.437Z