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iParking – Real-Time Parking Space Monitor and Guiding System with Cloud Service

  • Ching-Fei Yang
  • You-Huei Ju
  • Chung-Ying Hsieh
  • Chia-Ying Lin
  • Meng-Hsun  Tsai
  • Hui-Ling Chang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10036)

Abstract

By the popularization of cars, average number of vehicles owned by one person grows with passing days. However, the number of parking areas is out of proportion. In order to satisfy the requirements of parking space and reduce illegal parking, we propose iParking, a real-time parking space monitoring and guiding system, in this paper. We lay emphasis on roadside parking. The system determines and records empty parking spaces through cloud computing, wireless technology between vehicles, and image analysis. It tells you the nearest location of empty parking space while drivers have requests. We expect the system to cause attention to more people and government while it solves relative problems about parking space.

Keywords

Cloud computing Image recognition Parking space management Wireless technology 

Notes

Acknowledgement

This work was sponsored in part by Ministry of Science and Technology (MOST), Taiwan, under the contract number MOST 105-2221-E-006-186- and MOST 104-2815-C-006-029-E.

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Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  • Ching-Fei Yang
    • 1
  • You-Huei Ju
    • 1
  • Chung-Ying Hsieh
    • 1
  • Chia-Ying Lin
    • 1
  • Meng-Hsun  Tsai
    • 1
  • Hui-Ling Chang
    • 1
  1. 1.Department of Computer Science and Information EngineeringNational Cheng Kung UniversityTainanTaiwan

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