JOURNAL BROWSE
Search
Advanced SearchSearch Tips
A System Design and Implementation for Geotechnical Engineering Field Application of Drone
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
A System Design and Implementation for Geotechnical Engineering Field Application of Drone
Kim, Taesik; Jung, Jinman; Min, Hong;
  PDF(new window)
 Abstract
Many studies have been carried out on monitoring the target by cooperating a drone with remote sensors recently. This monitoring system uses static sensors to measure environmental data and drones to collect measured data. In geotechnical engineering, inspectors go around measuring the safety of construction site and it is impractical to compose a network among numerous sensors in terms of the cost efficiency. In this paper, we propose a data collection system based on interaction between a drone and a few sensors that are installed around the target structure for geotechnical projects. Through experimental results, we also verify the availability and the time and cost efficiency of the proposed system comparing with using inspectors.
 Keywords
Geotechnical engineering;Drone;Sensor;Soil moisture;
 Language
Korean
 Cited by
 References
1.
I. Moon, and Y. Kim, "Correlation Analysis between Soil Shear Strength Parameters and Cone Index Using Artificial Neural Networks-1," Journal of the Korea Academia-Industrial cooperation Society(JKAIS), Vol. 16, No. 3, pp. 2234-2241, 2015 (DOI: 10.5762/KAIS.2015.16.3.2234). crossref(new window)

2.
K. Kim, "A Study of Sensor Network for Soil Moisture Measurement," The Journal of the Institute of Internet, Broadcasting and Communication, Vol. 12, No. 1, pp. 239-243, 2012 (DOI: 10.7236/JIWIT.2012.12.1.239). crossref(new window)

3.
C. C. Douglas, and et al., "Dynamic Data-Driven Application Systems for Empty Houses, Contaminant Tracking, and Wildland Fireline Prediction," Grid-Based Problem Solving Environments, Vol. 239, No. 5, pp 255-272, 2007 (DOI: 10.1007/978-0-387-73659-4_14). crossref(new window)

4.
C. Dang, and et al., "Vision Based Ground Object Tracking Using AR.Drone Quadrotor," in Proceedings of International Conference on Control, Automation and Information Sciences, pp. 146-151, 2013 (DOI: 10.1109/ICCAIS.2013.6720545). crossref(new window)

5.
P. Ha, H. Yamamoto, K. Yamazaki, "Using Autonomous Air Vehicle in DTN Sensor Network for Environmental Observation," in Proceedings of IEEE Computer Software and Applications Conference, pp. 447-450, 2013 (DOI: 10.1109/COMPSAC.2013.74). crossref(new window)

6.
M. L. Mauriello, J. E. Froehlich, "Towards Automated Thermal Profiling of Buildings at Scale Using Unmanned Aerial Vehicles and 3D-Reconstruction," in Proceedings of the ACM International Joint Conference on Pervasive and Ubiquitous Computing, pp. 119-122, 2014 (DOI: 10.1145/2638728.2638731). crossref(new window)

7.
K. F. Flynn, and S. C. Chapra, "Remote Sensing of Submerged Aquatic Vegetation in a Shallow Non-Turbid River Using an Unmanned Aerial Vehicle," Remote Sensing, Vol. 6, No. 12, pp. 12815-12836, 2014 (DOI: 10.3390/rs61212815). crossref(new window)

8.
L. Tang, and G. Shao, "Drone remote sensing for forestry research and practices," Journal of Forestry Research, Vol. 26, No. 4, pp. 791-797, 2015 (DOI: 10.1007/s11676-015-0088-y). crossref(new window)