Safe landing site detection using SRTM data for the Unmanned Aerial Vehicles Insansiz Hava Araçlari için Srtm Verisi Kullanilarak Uygun Inis Alaninin Tespit Edilmesi

Aydin M., Kuğu E.

24th Signal Processing and Communication Application Conference, SIU 2016, Zonguldak, Turkey, 16 - 19 May 2016, pp.2125-2128 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/siu.2016.7496192
  • City: Zonguldak
  • Country: Turkey
  • Page Numbers: pp.2125-2128
  • Keywords: image segmentation, blob analysis, SRTM data
  • TED University Affiliated: No


© 2016 IEEE.In this work, it is aimed to determine the suitable landing zones for the Unmanned Aerial Vehicles (UAVs) in case of an emergency during their missions. SRTM (Shuttle Radar Topography Mission) maps were used to reach that aim. Nowadays, it is observed that the UAVs are being used densely for both military and civilian purposes. So, it is inevitable to make the UAVs smarter and make them more autonomous to minimize their dependence on a person. UAVs can have unexpected problems during their missions such as motor fault, communication cut etc. In this situation, a UAV should activate the emergency landing systems and realize the landing safely. Image segmentation and blob analysis are used to determine the possible landing zones on the SRTM data. In this proposed system, the landing of a UAV to unwanted zones is limited and the UAV is guidance to the predetermined safe zones.