ARF 102.75”), Android OS-based smartphone loaded to UAV
(one Samsung Galaxy S and two S2s) and bluetooth GPS
(Ascen GPS 742). Galaxy S and S2 use Android OS 2.3
Gingerbread, which is a full touch bar type of smartphone (table
1). And the field monitoring system consists of a smartphone
and a laptop computer to monitor various information (e.g.
taken image, 3d location, attitude) obtained by smartphone in
UAV photography system. Also, the UAV monitoring
management system consists of a web server and a database
server.
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Figure 1. Diagram of the smartphone-based photogrammetric
UAV system.
Table 1. Technical specification of Samsung Galaxy S and S2
(Samsung mobile, 2012a, 2012b)
Galaxy S | Galaxy S2
Device type Smart phone (Full touch bar)
Operation System Android 2.3 Gingerbread
122.4 mm(L) x 64.2 125.3 mm(L) x 66.1
Dimensions mm (W) x 9.9 mm (H) | mm (W) x 8.49 mm (H)
Weight 119g 116g
Talk time (3G) about 393 min about 9 hours
Processor Single core, 1000 MHz Dual core, 1200 MHz
Built-in storage 16 GB 32 GB
Storage expansion microSD, microSDHC (up to 32GB)
Display technology Super AMOLED Super AMOLED Plus
Display physical size 4.0 inches 4.27 inches
Display resolution 480 x 800 pixels
Battery capacity 1500 mAh | 1650 mAh
Camera imagesensor CMOS (with Auto Focus)
Camera resolution 5 megapixels | 9 megapixels
Communication devices | WCDMA/GSM, Bluetooth, Wi-Fi
Accelerometer, Accelerometer,
Sensors Magnetometer, Magnetometer,
Proximity Proximity, Gyroscope
2.2 Dynamic experiment
The area for the dynamic experiment using UAV was located in
Yangsan, Gyeongsangnam-do, in which a new town project is
under construction (approximately 40,000 m?) (Figure 2a).
There are gravels and sands for construction purpose ubiquitous
all around the experimental area. In other words, since the
experimental area contains various topographical relieves, it is
appropriate to assess DEM generated using the smartphone
images obtained through the developed system. Before actual
flight, the survey to determine the coordinates of GCPs was
conducted as in the static experiment, where the 2 criteria points
were determined by GPS and 67 GCPs were determined by the
total station (Topcon GPS-7001i) (Figure 2b). Since it is
difficult to extract the feature point from the images taken in the
field under construction, this study fabricated and use an aerial
signal target on its own. In addition, terrestrial laser scanning
was conducted to generate DEM for the test area and the
obtained smartphone image processing was done by LPS.
me
Figure 2. The experiment was conducted in the arca of a new
town project, with a very low likelihood of UAV crash or other
such accidents. (a) Aerial view of the region in which the UAV
images were taken. The central area (marked in green) is where
the experiment was conducted. (b) Distribution of the locations
of GPS base stations, 3D laser scanner, and GCPs on the final
ortho-images of the experimental area.
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