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Learning-Based Smart Parking System

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Proceedings of International Conference on Computational Intelligence

Part of the book series: Algorithms for Intelligent Systems ((AIS))

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Abstract

This paper deals with the problem of intelligent detection of free parking slots for vehicles as well as the automated parking in crowded cities, especially when the vehicle density is very high. The increasing parking issues in urban areas are not only due to inadequate parking spaces, but also due to ineffective parking information sharing and resource allocation. So a proper management of parking space is required to address this problem. In this work, convolution neural networks are employed to determine occupancy of the parking slot and reinforcement learning has been used for automated parking of the vehicle. Simulation results are provided to confirm the efficacy of the proposed strategies at different operating conditions.

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Author information

Authors and Affiliations

  1. Department of Electronics and Communication Engineering, Indian Institute of Information Technology Pune, Pune, Maharashtra, 411048, India

    S. Sajna & Ranjith Ravindranathan Nair

Authors
  1. S. Sajna
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  2. Ranjith Ravindranathan Nair
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Corresponding author

Correspondence to S. Sajna .

Editor information

Editors and Affiliations

  1. Indian Institute of Information Technology, Pune, India

    Ritu Tiwari

  2. University of Catania, Catania, Italy

    Mario F. Pavone

  3. Indian Institute of Information Technology, Pune, India

    Ranjith Ravindranathan Nair

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Sajna, S., Nair, R.R. (2023). Learning-Based Smart Parking System. In: Tiwari, R., Pavone, M.F., Ravindranathan Nair, R. (eds) Proceedings of International Conference on Computational Intelligence. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-19-2126-1_11

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