Azfar, T., Li, J., Yu, H., Cheu, R. L., Lv, Y., & Ke, R. (2024). Deep Learning-Based Computer Vision Methods for Complex Traffic Environments Perception: A Review. Data Science for Transportation, 6(1). https://doi.org/10.1007/s42421-023-00086-7
ISO-690 (author-date, English)AZFAR, Talha, LI, Jinlong, YU, Hongkai, CHEU, Ruey L., LV, Yisheng and KE, Ruimin, 2024. Deep Learning-Based Computer Vision Methods for Complex Traffic Environments Perception: A Review. Data Science for Transportation. 1 April 2024. Vol. 6, no. 1, . DOI 10.1007/s42421-023-00086-7.
Modern Language Association 9th editionAzfar, T., J. Li, H. Yu, R. L. Cheu, Y. Lv, and R. Ke. “Deep Learning-Based Computer Vision Methods for Complex Traffic Environments Perception: A Review”. Data Science for Transportation, vol. 6, no. 1, Apr. 2024, https://doi.org/10.1007/s42421-023-00086-7.
Mohr Siebeck - Recht (Deutsch - Österreich)Azfar, Talha/Li, Jinlong/Yu, Hongkai/Cheu, Ruey L./Lv, Yisheng/Ke, Ruimin: Deep Learning-Based Computer Vision Methods for Complex Traffic Environments Perception: A Review, Data Science for Transportation 2024,
Emerald - HarvardAzfar, T., Li, J., Yu, H., Cheu, R.L., Lv, Y. and Ke, R. (2024), “Deep Learning-Based Computer Vision Methods for Complex Traffic Environments Perception: A Review”, Data Science for Transportation, Vol. 6 No. 1, available at:https://doi.org/10.1007/s42421-023-00086-7.