A Bayesian Method for Real-time Unsupervised Detection of Anomalous Road Vehicle Trajectories

Thinh Hoang Dinh, Vincent Martinez, Pierre Maréchal, Daniel Delahaye

Open source

DOI: 10.1007/s13177-024-00446-9
Published: 2024-11-27
Container: International Journal of Intelligent Transportation Systems Research
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/s13177-024-00446-9,
  title = {A Bayesian Method for Real-time Unsupervised Detection of Anomalous Road Vehicle Trajectories},
  author = {Thinh Hoang Dinh and Vincent Martinez and Pierre Maréchal and Daniel Delahaye},
  year = {2024},
  journal = {International Journal of Intelligent Transportation Systems Research},
  doi = {10.1007/s13177-024-00446-9},
  url = {https://doi.org/10.1007/s13177-024-00446-9}
}

RIS

TY  - JOUR
TI  - A Bayesian Method for Real-time Unsupervised Detection of Anomalous Road Vehicle Trajectories
AU  - Thinh Hoang Dinh
AU  - Vincent Martinez
AU  - Pierre Maréchal
AU  - Daniel Delahaye
PY  - 2024
JO  - International Journal of Intelligent Transportation Systems Research
DO  - 10.1007/s13177-024-00446-9
UR  - https://doi.org/10.1007/s13177-024-00446-9
ER  -

APA

Dinh, T. H., Martinez, V., Maréchal, P., & Delahaye, D. (2024). A Bayesian Method for Real-time Unsupervised Detection of Anomalous Road Vehicle Trajectories. International Journal of Intelligent Transportation Systems Research. https://doi.org/10.1007/s13177-024-00446-9

Source records

crossref · retrieved 2026-09-25T06:36:42.532Z