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Cao, J., Peng, B., Gao, M., Hao, H.,
Li, X., & Mou, H. (2025). Object Detection Based on CNN and
Vision‐Transformer: A Survey. IET Computer Vision, 19(1), e70028.
https://doi.org/10.1049/cvi2.70028.
El Asri, S., Zebbara, K., Aftatah,
M., Azaz, A., Ait Lhoussaine, A., Lahcen, K. A. S., ... & Boubrine, O.
(2025). Computer Vision for Vehicle Detection: A Comprehensive Review. Data
and Metadata, 4, 873-873. https:// doi.org/10.56294/dm2025873.
Hidayatullah, P., & Tubagus, R.
(2026). YOLO26: A Comprehensive Architecture Overview and Key
Improvements. arXiv preprint arXiv:2602.14582.
Robinson, I., Robicheaux, P., Popov,
M., Ramanan, D., & Peri, N. (2025). RF-DETR: neural architecture search for
real-time detection transformers. arXiv preprint arXiv:2511.09554.
Saralajew, S., Ohnemus, L., Ewecker,
L., Asan, E., Isele, S., & Roos, S. (2021). A dataset for provident vehicle
detection at night. In 2021 IEEE/RSJ International Conference on Intelligent
Robots and Systems (IROS) (pp. 9750-9757). IEEE. https://doi.org/10.48550/arXiv.2105.13236.
Tian, J., Ghaffar, M. A., & Li,
Z. (2026). YOLO-Night: Lighting the Path for Autonomous Vehicles with Robust
Nighttime Perception. Sensors, 26(4), 1138. https://doi.org/10.3390/s26041138.
Tung, C., Kelleher, M. R.,
Schlueter, R. J., Xu, B., Lu, Y. H., Thiruvathukal, G. K., ... & Lu, Y.
(2019). Large-scale object detection of images from network cameras in variable
ambient lighting conditions. In 2019 IEEE Conference on Multimedia Information
Processing and Retrieval (MIPR) (pp. 393-398). IEEE. https://doi.org/10.48550/arXiv.1812.11901.
Yang, Y., Zhen, H., Huang, Y., &
Yang, J. J. (2024). Enhancing nighttime vehicle detection with day-to-night
style transfer and labeling-free augmentation. arXiv preprint arXiv:2412.16478.
https://doi.org/10.48550/arXiv.2412.16478.