Design and Development of Wireless Sensor Network for Real-Time Monitoring and Prevention of Accidents in Hilly Area
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-7711-6_8
Reference8 articles.
1. Chen, H., Hou, L., Zhang, G.K., Wu, S.: Using context-guided data augmentation, lightweight CNN, and proximity detection techniques to improve site safety monitoring under occlusion conditions. Saf. Sci. 158, 105958 (2023)
2. Gupta, A.K., Wable, G., Batra, T.: Collision detection system for vehicles in hilly and dense fog affected area to generate collision alerts. In: 2014 International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT), pp. 38–40 (2014). https://doi.org/10.1109/ICICICT.2014.6781249
3. Leo, J.J., Monisha, R., Sakthi, B.T.S., Sunder, A.J.C.: Vehicle movement control and accident avoidance in hilly track. In: 2014 International Conference on Electronics and Communication Systems (ICECS), pp. 1–5 (2014). https://doi.org/10.1109/ECS.2014.6892757
4. Prajwal, V.R.: Vehicle detection and collision avoidance in hairpin curves. In: 2020 IEEE Pune Section International Conference (PuneCon), pp. 142–145 (2020). https://doi.org/10.1109/PuneCon50868.2020.9362472
5. Wang, J., Wang, S., Long, X., Li, D., Ma, C., Li, P.: Ellipse-like radiation range grading method of traffic accident influence on mountain highways. Sustainability 14(21), 13727 (2022). https://doi.org/10.3390/su142113727
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