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딥러닝 기법을 이용한 주차 공간 자동 식별 시스템

An Automatic Parking Space Identification System using Deep Learning Techniques

  • 서민경 (서울여자대학교 소프트웨어융합학과) ;
  • 엄성용 (서울여자대학교 소프트웨어융합학과)
  • 투고 : 2021.08.07
  • 심사 : 2021.08.30
  • 발행 : 2021.11.30

초록

본 논문에서는 촬영된 주차장 사진으로부터 빈 주차 공간을 자동 식별할 수 있는 주차 공간 자동 식별 시스템에 대해 설명한다. 이 시스템은 딥러닝 기법에 기반한 시스템으로, 다양한 주차장 사진들을 토대로 학습을 진행하여 식별 결과의 정확도가 높으며, 기존의 주차 관리 시스템에 적용할 수 있다. 한편, 본 시스템은 손쉬운 적용 테스트를 위해, 스마트폰용 애플리케이션으로도 개발되었다. 따라서 스마트폰 카메라를 통해 주차장 사진을 찍으면, 촬영된 이미지를 자동 인식하며 빈 주차 공간을 자동 식별할 수 있다.

In this paper, we describe a parking space identification system that can automatically identify empty parking lot spaces from a parking lot photo. This system is based on a deep learning technique, and the accuracy of the identification result is good by learning various existing parking lot images. It could be applied to the existing parking management system. This system was also developed as a smartphone application for easy testing. Therefore, if you take a picture of a parking lot through a smartphone camera, the captured image is automatically recognized and an empty parking space can be automatically identified.

키워드

과제정보

본 연구는 과학기술정보통신부 및 정보통신기술진흥센터의 SW중심대학지원사업의 연구 결과로 수행되었음(2016-0-00022).

참고문헌

  1. Korea Statistical Information Service, https://kosis.kr/statHtml/statHtml.do?orgId=101&tblId=DT_1YL20731&conn_path=I2.
  2. Online News Department, One in Two People Owns a Car, Popular Officetel with Convenient Parking Facilities, Seoul News.
  3. Yong-min Choi, One car per Two..Popularity of Commercial Facilities combined with Parking Specialization, Newstomato.
  4. Soo-Chul Kang, "Trends in Artificial Intelligence Transfer Learning ans Applications", ITFIND, No. 1943, 2020.
  5. Wikipedia. Deep Learning. https://ko.wikipedia.org/wiki/Deep_Learning.
  6. Kun-Kook Kim, Woong-Gi Son, Min-Gyu Lee, Jung-Gu Han, Young-Wook Park, "The study of Parking Management System by Image Processing", JKIECS, Vol. 12, No. 4, pp.651-656, 2017. doi.org/10.13067/JKIECS.2017.12.4.651
  7. Eun-Joo Nam, Deouk-Kyi An, You-Jin Seo, "Management System for Parking Free Space based on Open CV", JIIBC, Vol. 20, No. 1, pp. 69-75, 2020. dio.org/10.7236/JIIBC.2020.20.1.69
  8. Seong-Kwon Lee, Young-Gon Kim, "Parking-Lots Management System Using IR-Sensor", KIISE, Vol. 35, No. 2(B), pp. 296-299, 2008.
  9. Dae-Jin Kim, Chang-Pyo Yoon, Chi-Gon Hwang, "Deep Learning based Parking Occupation Detection using Pre-Post-processing", JDCS, Vol.20, No.10, pp.2087-2096, 2019. doi.org/10.9728/dcs.2019.20.10.2087
  10. Tae-Jin Yun, Hyun-seung Kim, Yong-Ju Chung, Young-Hun Lee, "Development of parking lot recognition system using deep learning technology", KSCI, Vol. 27, No. 1, pp. 301-302, 2019.
  11. Se-Hoon Lee, Jung-Won Park, Byung-Ho Kim, "Parking Information Service System using Image Recognization based on Deep Learning", KSCI, Vol. 23, No. 2, pp. 19-22, 2015.
  12. Sang-Keun Woo, Ye-ji Gim, "Analysis and Key Implication of Artificial Intelligence (AI) 9 Keys Technologies", NIA, IT & Future Strategy Report, No. 1, January 15, 2021.
  13. Hands-On Machine Learning with Scikit-Learn and Tensorflow:Concept, Tools, and Techniques to Build Intelligent System, Chapter 11, 2017.
  14. Handbook Of Research On Machine Learning Application and Trends: Algorithms, Methods, and Techniques, Chapter 11, Transfer Learning, p.243.
  15. Teachable Machine, https://teachablemachine.withgoogle.com/faq#Teachable_Machine.