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http://dx.doi.org/10.3745/KTSDE.2019.8.12.507

A Design and Implementation of Floor Detection Application Using RC Car Simulator  

Lee, Yoona (고려대학교 컴퓨터학과)
Park, Young-Ho (숙명여자대학교 IT공학과)
Ihm, Sun-Young (숙명여자대학교 빅데이터활용 연구센터)
Publication Information
KIPS Transactions on Software and Data Engineering / v.8, no.12, 2019 , pp. 507-516 More about this Journal
Abstract
Costs invested in road maintenance and road development are on the rise. However, due to accidents such as portholes and ground subsidence, the risks to the drivers' safety and the material damage caused by accidents are also increasing. Following this trend, we have developed a system that determines road damage, according to the magnitude of vibration generated without directly intervening the driver when driving. In this paper, we implemented the system using a remote control car (RC car) simulator due to the limitation of the environment in which the actual vehicle is not available in the process of developing the system. In addition, we attached a vibration sensor and GPS sensor to the body of the RC car simulator to measure the vibration value and location information generated by the movement of the vehicle in real-time while driving, and transmitting the corresponding data to the server. In this way, we implemented a system that allows external users to check the damage of roads and the maintenance of the repaired roads based on data more easily than the existing systems. By using this system, we can perform early prediction of road breakage and pattern prediction based on the data. Further, for the RC car simulator, commercialization will be possible by combining it with business in other fields that require flatness.
Keywords
Real-Time Recognition; Floor Detection; Road Breakage; Automatic Driving;
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1 박성훈, "전국 곳곳에 '싱크홀 공포'...왜", 문화일보, [Internet]. Available: http://www.munhwa.com/news/view.html?no=2018091201031027109001
2 D. Kim, J. Jeon, and D. Kim, "Predictive Modeling of Pavement Damage Using Machine Learning and Big Data Processing," Journal of Korean Society of Hazard Mitigation, Vol.19, No.1, pp.95-107, 2019.   DOI
3 H. Maeda, Y. Sekimoto, T. Seto, T. Kashiyama, and H. Omata, "Road Damage Detection Using Deep Neural Networks with Images Captured Through a Smartphone," Computer-Aided Civil and Infrastructure Engineering, Vol.33, No.12, pp.1127-1141, Jun. 2018.   DOI
4 C. Mertz, "Continuous Road Damage Detection Using Regular Service Vehicles," in Proceeding of the 18th ITS World Congress, Orlando, 2011.
5 MOLIT STATISTICS SYSTEM, URL: stat.molit.go.kr
6 J. Kim, "A Study on the Efficient Protocal Structure of Monitoring System Using Serial Communication," M.S. dissertation, Sungkyunkwan University, Seoul, 2015.
7 H. Yang, B. Kim, and D. Kim, "Implementation of Raspberry Pi Rhythm Game using UART Communication in the different Operating Systems," Journal of Digital Contents Society, Vol.20, No.3, pp.647-655, Mar. 2019.   DOI
8 "What is Arduino?", [Internet]. Available: https://www.arduino.cc/en/Guide/Introduction
9 P. Li, H. Xu, and B. Song, "A Novel Method for Urban Road Damage Detection Using Very High Resolution Satellite Imagery and Road Map," Photogrammetric Engineering & Remote Sensing, Vol.77, No.10, pp.1057-1066, Oct. 2011.   DOI
10 L. Gong, L. An, M. Liu, and J. Zhang, "Road Damage Detection from High-Resolution RS Image," in Proceeding of the 2012 IEEE International Geoscience and Remote Sensing Symposium, Munich, 2012.
11 Z. Li and F. T. K. Au, "Damage Detection of Bridges Using Response of Vehicle Considering Road Surface Roughness," International Journal of Structural Stability and Dynamics, Vol.15, No.3, 2015.