@inproceedings{0a3f1f9f12e740ac8875d281e48c697c,
title = "Iparking -Real-time parking space monitor and guiding system with cloud service",
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.",
author = "Yang, {Ching Fei} and Ju, {You Huei} and Hsieh, {Chung Ying} and Lin, {Chia Ying} and Tsai, {Meng Hsun} and Chang, {Hui Ling}",
note = "Funding Information: 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. Publisher Copyright: {\textcopyright} Springer International Publishing AG 2016.; 3rd International Conference Internet of Vehicles - Technologies and Services, IOV 2016 ; Conference date: 07-12-2016 Through 10-12-2016",
year = "2016",
doi = "10.1007/978-3-319-51969-2_3",
language = "English",
isbn = "9783319519685",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "26--33",
editor = "Ching-Hsien Hsu and Shangguang Wang and Ao Zhou and Ali Shawkat",
booktitle = "Internet of Vehicles - Technologies and Services - 3rd International Conference, IOV 2016, Proceedings",
address = "Germany",
}