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[ Special Issue : Engineering Design of ADBL ] | |
Journal of the Korean Society of Manufacturing Technology Engineers - Vol. 29, No. 3, pp. 176-181 | |
Abbreviation: J. Korean Soc. Manuf. Technol. Eng. | |
ISSN: 2508-5107 (Online) | |
Print publication date 15 Jun 2020 | |
Received 06 Apr 2020 Revised 28 Apr 2020 Accepted 06 May 2020 | |
DOI: https://doi.org/10.7735/ksmte.2020.29.3.176 | |
CNN을 이용한 대기차량 카운팅 알고리즘 구조에 관한 연구 | |
Counting Algorithm Structure for Waiting Vehicles by using CNN | |
aDepartment of Mechanical System Design Engineering, Seoul National University of Science and Technology | |
Correspondence to : *Tel.: +82-2-970-6342 E-mail address: gbkim@seoultech.ac.kr (Gibom Kim). | |
Funding Information ▼ |
Increased computing power and advanced deep learning technology have enabled computers to effectively deal with problems that cannot be solved by ordinary people. Many attempts have been made to utilize deep learning technology to analyze road images and efficiently control crossroad vehicle flow. In this research, a new methodology is proposed for identifying the number of vehicles on the road using CNN (convolution neural network), deep learning technology that specializes in image classification. Unlike previous studies that used regression methods and video frames as input, this study determined the number of vehicles using real-time photographic images and classification methods for one lane. An experiment was conducted to find the optimal combination of variables using sensitivity analysis. The optimal network determined the number of vehicles on one lane with a high accuracy of 98.31%.
Keywords: Convolutional neural network, Vehicle counting, Sensitivity analysis, Classification |
본 연구는 서울과학기술대학교 교내 일반과제 연구비 지원으로 수행되었습니다.
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B.Sc. candidate in the Department of Mechanical System Design Engineering, Seoul National University of Science and Technology.His research interest is Computer Vision.His research interest is Artificial Intelligence.
E-mail: hojin.jeong@gmail.com
B.Sc. candidate in the Department of Mechanical System Design Engineering, Seoul National University of Science and Technology.His research interest is Computer Vision.His research interest is Artificial Intelligence.
E-mail: whalstn098@naver.com
Professor in the Department of Mechanical System Design Engineering, Seoul National University of Science and Technology.His research interest is computer vision.
E-mail: gbkim@seoultech.ac.kr