The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XXXVIII-1/C22
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXVIII-1/C22, 107–112, 2011
https://doi.org/10.5194/isprsarchives-XXXVIII-1-C22-107-2011
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXVIII-1/C22, 107–112, 2011
https://doi.org/10.5194/isprsarchives-XXXVIII-1-C22-107-2011

  06 Sep 2012

06 Sep 2012

REAL-TIME MONITORING SYSTEM USING UNMANNED AERIAL VEHICLE INTEGRATED WITH SENSOR OBSERVATION SERVICE

A. Witayangkurn1, M. Nagai2, K. Honda3, M. Dailey3, and R. Shibasaki4 A. Witayangkurn et al.
  • 1Dept. of Civil Engineering, The University of Tokyo, Institute of Industrial Science Cw-503 4-6-1 Komaba Tokyo, Japan
  • 2Geoinformatics Center, Asian Institute of Technology, P.O.Box 4 Klong Luang Pathumtani, Thailand
  • 3School of Engineering and Technology, Asian Institute of Technology, P.O.Box 4 Klong Luang Pathumtani, Thailand
  • 4Center for Spatial Information Science, The University of Tokyo, 5-1-5 Kashiwanoha Kashiwa-shi Chiba, Japan

Keywords: UAVs, Real-time monitoring, Sensor network, Sensor Service Grid, Sensor Observation Service

Abstract. The Unmanned Aerial Vehicle (UAV) is an emerging technology being adapted for a wide range of applications. Real-time monitoring is essential to enhance the effectiveness of UAV applications. Sensor networks are networks constructed from various sensor nodes. International standard such as OGC's SOS (Sensor Observation Service) makes it possible to share sensor data with other systems as well as to provide accessibility to globally distributed users. In this paper, we propose a system combining UAV technology and sensor network technology to use an UAV as a mobile node of sensor network so that the sensor data from UAV is published and shared real-time. A UAV can extend the observation range of a sensor network to remote areas where it is usually difficult to access such as disaster area. We constructed a UAV system using remote-controlled helicopter and various sensors such as GPS, gyrocompass, laser range finder, Digital camera and Thermometer. Furthermore, we extended the Sensor Observation Service (SOS) and Sensor Service Grid (SSG) to support mobile sensor nodes. Then, we conducted experiments of flying the helicopter over an area of the interest. During the flight, the system measured environmental data using its sensors and captured images of the ground. The data was sent to a SOS node as the ground station via Wi-Fi which was published using SSG to give real- time access to globally distributed users.