Real-Time Railway Obstacle Detection in Variable Weather Conditions: A Novel Framework for Enhanced Safety Using YOLOv8

Author:

Verma Shantanu Singh,Behera Chandan Kumar

Publisher

Springer Nature Switzerland

Reference13 articles.

1. Ruder, M., Mohler, N., Ahmed, F.: An obstacle detection system for automated trains. In: IEEE IV2003 Intelligent Vehicles Symposium, Columbus, pp. 180–185. IEEE Press, OH, USA (2003)

2. Mockel, S., Scherer, F., Schuster, P.F.: Multi-sensor obstacle detection on railway tracks. In: IEEE IV2003 Intelligent Vehicles Symposium, pp. 42–46. IEEE Press, OH, USA (2003)

3. Satish Kumar, U.K., Nandhini Devi, P., Gowthaman, S., George, G., Aishwarya, T.: Video-based object detection system for improving safety at level cross. Int. J. Eng. Res. Technol. 4(11), 1–5 (2016)

4. Manikandan, R., Balasubramanian, M., Palanivel, S.: Vision-based obstacle detection on railway tracks. Int. J. Pure Appl. Math. 116(24), 567–576 (2017)

5. Ristic-Durrant, D., Franke, M., Michels, K.: A review of vision-based on-board obstacle detection and distance estimation in railways. Sensors 21(10), 3452 (2021)

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