Enhancing Railway Safety Through Fast and Economical Object Detection: A Grounding DINO Approach

Author:

Sevi MehmetORCID,Aydın İlhanORCID

Publisher

Springer Nature Switzerland

Reference14 articles.

1. Crawford, E.G., Kift, R.L.: Keeping track of railway safety and the mechanisms for risk. Saf. Sci. 110, 195–205 (2018)

2. Burdzik, R., Nowak, B., Rozmus, J., Słowiński, P., Pankiewicz, J.: Safety in the railway industry. Archives of Transport, 44 (2017)

3. Oh, K., et al.: A review of deep learning applications for railway safety. Appl. Sci. 12(20), 10572 (2022)

4. Han, C., Zhu, J., Li, F., Wan, S., Chen, H.: Design of lightweight pedestrian detection network in railway scenes. In Journal of Physics: Conference Series 1544(1), 012053 (2020)

5. Fang, Z., Kim, P.: Comparison of deep-learning algorithms for the detection of railroad pedestrians. J. Info. Comm. Converg. Eng. 18(1) (2020)

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