| Onboard Robust Visual Tracking for UAVs Using a Reliable Global-Local Object Model C Fu, R Duan, D Kircali, E Kayacan Sensors 16 (9), 1406, 2016 | 51 | 2016 |
| Ground Plane Detection Using an RGB-D Sensor D Kırcalı, FB Tek Information Sciences and Systems 2014, 69-77, 2014 | 21 | 2014 |
| An intelligent hybrid artificial neural network-based approach for control of aerial robots S Patel, A Sarabakha, D Kircali, E Kayacan Journal of Intelligent & Robotic Systems 97 (2), 387-398, 2020 | 14 | 2020 |
| Adaptive visual obstacle detection for mobile robots using monocular camera and ultrasonic sensor IK Iyidir, FB Tek, D Kırcalı European Conference on Computer Vision, 526-535, 2012 | 8 | 2012 |
| Ground Plane Detection using Kinect sensor D Kırcalı, FB Tek, İK İyidir Signal Processing and Communications Applications Conference (SIU), 2013 …, 2013 | 5 | 2013 |
| Artificial Neural Network-Assisted Controller for Fast and Agile UAV Flight: Onboard Implementation and Experimental Results S Patel, A Sarabakha, D Kircali, G Loianno, E Kayacan 2019 Workshop on Research, Education and Development of Unmanned Aerial …, 2019 | 3 | 2019 |
| Design, development and experimental validation of a lightweight dual-arm aerial manipulator with a COG balancing mechanism N Imanberdiyev, S Sood, D Kircali, E Kayacan Mechatronics 82, 102719, 2022 | 1 | 2022 |
| Autonomous taking off, positioning and landing of unmanned aerial vehicles (uav) on a mobile platform U Soner, D Kircali, J Woon US Patent App. 17/029,020, 2021 | 1 | 2021 |
| Ground plane detection using and rgb-d camera for quadcopter landing D Kırcalı Işık Üniversitesi, 2013 | | 2013 |
| Microsoft Kinect Sensörü kullanarak zemin düzlemi algılama D Kırcalı, FB Tek, İK İyidir IEEE, 2013 | | 2013 |
Erdal KayacanAssociate Professor at Aarhus UniversityVerified email at ece.au.dk
