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References

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A. B. Parsa, R. S. Chauhan, H. Taghipour, S. Derrible, A. Mohammadian, “Applying Deep Learning to Detect Traffic Accidents in Real Time Using Spatiotemporal Sequential Data,” arXiv preprint arXiv:1912.06991, 2019.URL
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13 
H. Y. Kim, “A GRU Based Model for Predicting Traffic Accident Severity,” Master’s Thesis, Seoul National University Graduate School, Department of Industrial Engineering, 2020.URL
14 
W. Bao, Q. Yu, Y. Kong, “Uncertainty-based Traffic Accident Anticipation with Spatio-Temporal Relational Learning,” Proceedings of the ACM Multimedia Conference, May 2020.URL
15 
K. Liu, H. Tang, S. He, Q. Yu, Y. Xiong, N. Wang, “Performance Validation of YOLO Variants for Object Detection,” Proceedings of the 2021 International Conference on Bioinformatics and Intelligent Computing, Jan. 22, 2021.URL
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