Toward an easy deployable outdoor parking system - Lessons from long-term deployment

Yu Huang; Yi Chao Chen; Chuang Wen You; Dian Xuan Wu; Yi Ling Chen; Kai Lung Hua; Jane Yung Jen Hsu

doi:10.1109/PERCOM.2017.7917869

Toward an easy deployable outdoor parking system - Lessons from long-term deployment

Yu Huang, Yi Chao Chen, Chuang Wen You, Dian Xuan Wu, Yi Ling Chen, Kai Lung Hua, Jane Yung Jen Hsu

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

Abstract

Data pertaining to the availability of parking slots is crucial to the efficient operation of systems designed to monitor the state of parking spaces. Outdoor parking systems have been developed using wireless sensors, Internet of Things (IoT) technology, and cameras. Unfortunately, interference from electromagnetic fields complicates the tuning of parameters for detection algorithms and limits accuracy to only 90 percent. In this study, we investigated these problems by collecting data from magnetic sensors, light sensors, and LoRa wireless modules used in the detection transient events (car arrivals and departures) over a period of 13 months. This led to the design an adaptive occupancy detection system using a variety of sensors, which can be deployed with only minimal calibration.

Original language	English
Title of host publication	2017 IEEE International Conference on Pervasive Computing and Communications, PerCom 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	227-236
Number of pages	10
ISBN (Electronic)	9781509043279
DOIs	https://doi.org/10.1109/PERCOM.2017.7917869
State	Published - 02 05 2017
Externally published	Yes
Event	2017 IEEE International Conference on Pervasive Computing and Communications, PerCom 2017 - Big Island, United States Duration: 13 03 2017 → 17 03 2017

Publication series

Name	2017 IEEE International Conference on Pervasive Computing and Communications, PerCom 2017

Conference

Conference	2017 IEEE International Conference on Pervasive Computing and Communications, PerCom 2017
Country/Territory	United States
City	Big Island
Period	13/03/17 → 17/03/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

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10.1109/PERCOM.2017.7917869

Cite this

Huang, Y., Chen, Y. C., You, C. W., Wu, D. X., Chen, Y. L., Hua, K. L., & Hsu, J. Y. J. (2017). Toward an easy deployable outdoor parking system - Lessons from long-term deployment. In 2017 IEEE International Conference on Pervasive Computing and Communications, PerCom 2017 (pp. 227-236). Article 7917869 (2017 IEEE International Conference on Pervasive Computing and Communications, PerCom 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PERCOM.2017.7917869

Huang, Yu ; Chen, Yi Chao ; You, Chuang Wen et al. / Toward an easy deployable outdoor parking system - Lessons from long-term deployment. 2017 IEEE International Conference on Pervasive Computing and Communications, PerCom 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 227-236 (2017 IEEE International Conference on Pervasive Computing and Communications, PerCom 2017).

@inproceedings{04bd7ec9aa4b4942acd0803978fa7b86,

title = "Toward an easy deployable outdoor parking system - Lessons from long-term deployment",

abstract = "Data pertaining to the availability of parking slots is crucial to the efficient operation of systems designed to monitor the state of parking spaces. Outdoor parking systems have been developed using wireless sensors, Internet of Things (IoT) technology, and cameras. Unfortunately, interference from electromagnetic fields complicates the tuning of parameters for detection algorithms and limits accuracy to only 90 percent. In this study, we investigated these problems by collecting data from magnetic sensors, light sensors, and LoRa wireless modules used in the detection transient events (car arrivals and departures) over a period of 13 months. This led to the design an adaptive occupancy detection system using a variety of sensors, which can be deployed with only minimal calibration.",

author = "Yu Huang and Chen, {Yi Chao} and You, {Chuang Wen} and Wu, {Dian Xuan} and Chen, {Yi Ling} and Hua, {Kai Lung} and Hsu, {Jane Yung Jen}",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE International Conference on Pervasive Computing and Communications, PerCom 2017 ; Conference date: 13-03-2017 Through 17-03-2017",

year = "2017",

month = may,

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doi = "10.1109/PERCOM.2017.7917869",

language = "英语",

series = "2017 IEEE International Conference on Pervasive Computing and Communications, PerCom 2017",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Huang, Y, Chen, YC, You, CW, Wu, DX, Chen, YL, Hua, KL & Hsu, JYJ 2017, Toward an easy deployable outdoor parking system - Lessons from long-term deployment. in 2017 IEEE International Conference on Pervasive Computing and Communications, PerCom 2017., 7917869, 2017 IEEE International Conference on Pervasive Computing and Communications, PerCom 2017, Institute of Electrical and Electronics Engineers Inc., pp. 227-236, 2017 IEEE International Conference on Pervasive Computing and Communications, PerCom 2017, Big Island, United States, 13/03/17. https://doi.org/10.1109/PERCOM.2017.7917869

Toward an easy deployable outdoor parking system - Lessons from long-term deployment. / Huang, Yu; Chen, Yi Chao; You, Chuang Wen et al.
2017 IEEE International Conference on Pervasive Computing and Communications, PerCom 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 227-236 7917869 (2017 IEEE International Conference on Pervasive Computing and Communications, PerCom 2017).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - Data pertaining to the availability of parking slots is crucial to the efficient operation of systems designed to monitor the state of parking spaces. Outdoor parking systems have been developed using wireless sensors, Internet of Things (IoT) technology, and cameras. Unfortunately, interference from electromagnetic fields complicates the tuning of parameters for detection algorithms and limits accuracy to only 90 percent. In this study, we investigated these problems by collecting data from magnetic sensors, light sensors, and LoRa wireless modules used in the detection transient events (car arrivals and departures) over a period of 13 months. This led to the design an adaptive occupancy detection system using a variety of sensors, which can be deployed with only minimal calibration.

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Huang Y, Chen YC, You CW, Wu DX, Chen YL, Hua KL et al. Toward an easy deployable outdoor parking system - Lessons from long-term deployment. In 2017 IEEE International Conference on Pervasive Computing and Communications, PerCom 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 227-236. 7917869. (2017 IEEE International Conference on Pervasive Computing and Communications, PerCom 2017). doi: 10.1109/PERCOM.2017.7917869

Toward an easy deployable outdoor parking system - Lessons from long-term deployment

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