Evaluating pedestrian crossing safety: Implementing and evaluating a convolutional neural network model trained on paired aerial and subjective perspective images.
- DOI
- 10.1016/j.heliyon.2025.e42428
- Published
- 2025 Feb 28
- Container
- Heliyon
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.heliyon.2025.e42428,
title = {Evaluating pedestrian crossing safety: Implementing and evaluating a convolutional neural network model trained on paired aerial and subjective perspective images.},
author = {Russon D and Guennec A and Naredo-Turrado J and Xu B and Boussuge C and Battaglia V and Hiron B and Lagarde E},
year = {2025},
journal = {Heliyon},
doi = {10.1016/j.heliyon.2025.e42428},
url = {https://doi.org/10.1016/j.heliyon.2025.e42428}
}RIS
TY - JOUR TI - Evaluating pedestrian crossing safety: Implementing and evaluating a convolutional neural network model trained on paired aerial and subjective perspective images. AU - Russon D AU - Guennec A AU - Naredo-Turrado J AU - Xu B AU - Boussuge C AU - Battaglia V AU - Hiron B AU - Lagarde E PY - 2025 JO - Heliyon DO - 10.1016/j.heliyon.2025.e42428 UR - https://doi.org/10.1016/j.heliyon.2025.e42428 ER -
APA
D, R., A, G., J, N., B, X., C, B., V, B., B, H., & E, L. (2025). Evaluating pedestrian crossing safety: Implementing and evaluating a convolutional neural network model trained on paired aerial and subjective perspective images.. Heliyon. https://doi.org/10.1016/j.heliyon.2025.e42428
Source records
- pubmed · retrieved 2026-09-26T01:24:13.028Z