Deep reinforcement learning approach towards a smart parking architecture
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Software
Link
https://link.springer.com/content/pdf/10.1007/s10586-022-03599-y.pdf
Reference29 articles.
1. Tang, C., Wei, X., Zhu, C., Chen, W., Rodrigues, J.J.: Towards smart parking based on fog computing. IEEE Access 6, 70172–70185 (2018)
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3. Bura, H., Lin, N., Kumar, N., Malekar, S., Nagaraj, S., Liu, K.: An edge based smart parking solution using camera networks and deep learning. In: 2018 IEEE International Conference on Cognitive Computing (ICCC), pp. 17–24. IEEE (2018)
4. Grodi, R., Rawat, D.B., Rios-Gutierrez, F.: Smart parking: Parking occupancy monitoring and visualization system for smart cities. In: SoutheastCon 2016, pp. 1–5. IEEE (2016)
5. Chaudhary, H., Bansal, P., Valarmathi, B.: Advanced car parking system using arduino. In: 2017 4th International Conference on Advanced Computing and Communication Systems (ICACCS), pp. 1–5. IEEE (2017)
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