Funder
Federal Railroad Administration
Office of the Vice President for Research, University of South Carolina
U.S. Department of Transportation
Subject
Artificial Intelligence,Information Systems
Reference40 articles.
1. A. Alfarrarjeh, D. Trivedi, S.H. Kim, C. Shahabi, A Deep Learning Approach for Road Damage Detection from Smartphone Images, in: Proc., 2018 IEEE International Conference on Big Data (Big Data), IEEE, 2018, 5201–5204. 10.1109/bigdata.2018.8621899.
2. W. Baron, M. DaSilva, Effects of in-pavement lights on driver compliance with grade crossing safety equipment, Federal Railroad Administration, 2019, 1-2. Accessed May 9, 2020. https://rosap.ntl.bts.gov/view/dot/40279.
3. A. Bewley, Z. Ge, L. Ott, F. Ramos, B. Upcroft, Simple online and realtime tracking, in: Proc., 2016 IEEE International Conference on Image Processing (ICIP), IEEE, 2016, 3464–3468. 10.1109/ICIP.2016.7533003.
4. M.-M. Cheng, Z. Zhang, W.-Y. Lin, P. Torr, BING: Binarized normed gradients for objectness estimation at 300fps, in: Proc., Proceedings of the IEEE conference on computer vision and pattern recognition, 2014, 3286–3293. 10.1109/cvpr.2014.414.
5. Empirical assessment of urban traffic congestion;Chow;J. Adv. Transport.,2014
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