TY - GEN
T1 - Autonomous altitude measurement and landing area detection for indoor UAV applications
AU - Kakillioglu, Burak
AU - Velipasalar, Senem
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/11/7
Y1 - 2016/11/7
N2 - Fully autonomous navigation of unmanned vehicles, without relying on pre-installed tags or markers, still remains a challenge especially for GPS-denied areas and complex indoor environments. Robust altitude control and safe landing zone detection are two important tasks for indoor unmanned aerial vehicle (UAV) applications. In this paper, a novel approach is proposed for indoor UAVs to control their altitudes, and autonomously detect safe landing zones without relying on any markers, special setups, or assuming that the environment is known. The proposed method employs both depth data and RGB images to detect and also track the safe landing zones.
AB - Fully autonomous navigation of unmanned vehicles, without relying on pre-installed tags or markers, still remains a challenge especially for GPS-denied areas and complex indoor environments. Robust altitude control and safe landing zone detection are two important tasks for indoor unmanned aerial vehicle (UAV) applications. In this paper, a novel approach is proposed for indoor UAVs to control their altitudes, and autonomously detect safe landing zones without relying on any markers, special setups, or assuming that the environment is known. The proposed method employs both depth data and RGB images to detect and also track the safe landing zones.
UR - http://www.scopus.com/inward/record.url?scp=85003972519&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85003972519&partnerID=8YFLogxK
U2 - 10.1109/AVSS.2016.7738069
DO - 10.1109/AVSS.2016.7738069
M3 - Conference contribution
AN - SCOPUS:85003972519
T3 - 2016 13th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2016
SP - 166
EP - 172
BT - 2016 13th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 13th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2016
Y2 - 23 August 2016 through 26 August 2016
ER -