Finding Smoothness Area on the Topographic Maps for the Unmanned Aerial Vehicle's Landing Site Estimation
Citation
AYDIN, Musa & Emin KUGU. "Finding Smoothness Area on the Topographic Maps for the Unmanned Aerial Vehicle's Landing Site Estimation". Sixth International Conference on Digital Information and Communication Technology and Its Applications (DICTAP), 2016.Abstract
In this study, determining of the suitable landing
areas on the topographical maps were determined for emergency
landing of the Unmanned Air Vehicles (UAVs) during flight. In
order to reach desired goals of this work, Shuttle radar
topography mission maps (SRTM) was used. Nowodays, UA V
have been intensively used in civillian and military applications.
There are urgent needs on increasing of autonomy of the UAVs,
decreasing human expertise and making smarter of UA V systems
has become an inevitable necessity. Unexpectable stiuations (i.e.
motor or comminatication failure, etc ... ) can arise while missions
of the UAV. Emergency landing system must be activated by
autonomously and then landed on the ground in safely while
occuring some failure mentioned above. Two different techniques
were chosed for determining probable landing areas by using
digital elevation maps (SRTM). Firstly, surface fitting
approximation was applied by using Least Squares Error (LSE).
The slope of the points were calculated to specify of the
smoothness rate of the landing areas. Smooth areas were signed
by using SRTM datas. Image processing techniques were utilized
for marking of the smooth areas and determinig boundries of the
landing areas. The smooth landing areas were groupped with
Blob analysis. The noise of the ground specified as landing areas
were reduced with morphological image processing (performs
morphological openning). UAVs system can be made smarter
with specifying of the landing areas and planning of the path
according to emergency cases. With designed systems, the UA V
could be guided to the suitable landing zones vice versa
undesirable areas by limiting of the landing path in the
emergency cases of the UAV.