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Monitoring and Mapping Solutions Using Sensor Nodes and Drones

  • Researchers are always looking for innovative ways to collect the environmental data and ease the process of data collection on the field. Advancement in sensor technologies and drones has led to easy technological access to design custom solutions even with basic electronics and technical knowledge. This paper documents, construction and working of “ITT Smart Sense”, which is a low power, easy to use and cost effective environment monitoring system using wireless sensor network that runs autonomously on battery power for an extended period of time. Along with that, a UAV based platform, titled “ITT Smart Sense Fly”, focused on environmental monitoring and scientific research and is tailored to the needs of researchers has been proposed in this paper. This platform is comprised of an autonomous unmanned aerial vehicle (UAV)/Drone with a camera sensor, an autopilot mobile app for mission planning and other required Photogrammetry tools. The drone navigates over the area of interest based on a pre-programmed flight plan and captures a series of photographs using the on-board camera. The collected image data set is processed to create orthomosaics, high resolution maps and 3D point cloud. The proposed solutions were demonstrated with three distinct case studies.

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Metadaten
Author:Venkatesh Pampana
URN:urn:nbn:de:hbz:832-epub4-11193
Document Type:Master's Thesis
Language:English
Publishing Institution:Hochschulbibliothek der Technischen Hochschule Köln
Granting Institution:Technische Hochschule Köln
Date of Publication (online):2018/01/24
GND-Keyword:Drahtloses Sensorsystem; Umweltüberwachung
Tag:Aerial survey; Data collection; Environmental monitoring; Image acquisition; Image processing; Mapping; Orthomosaic; Photogrammetry; Solar panel detection; UAV; Wireless Sensor Network
Institutes:Fakultät für Raumentwicklung und Infrastruktursysteme (F12) / Fakultät 12 / Institut für Technologie und Ressourcenmanagement in den Tropen und Subtropen
Dewey Decimal Classification:500 Naturwissenschaften und Mathematik / 500 Naturwissenschaften
Open Access:Open Access
Licence (German):License LogoCreative Commons - Namensnennung-Keine kommerzielle Nutzung-Weitergabe unter gleichen Bedingungen