5 papers
ZeD-MAP: Bundle Adjustment Guided Zero-Shot Depth Maps for Real-Time Aerial Imaging
Selim Ahmet Iz, Francesco Nex, Norman Kerle +2
Real-time depth reconstruction from ultra-high-resolution UAV imagery is essential for time-critical geospatial tasks such as disaster response, yet remains challenging due to wide…
An Image-Based Path Planning Algorithm Using a UAV Equipped with Stereo Vision
Selim Ahmet Iz, Mustafa Unel
This paper presents a novel image-based path planning algorithm that was developed using computer vision techniques, as well as its comparative analysis with well-known determinist…
Aerial Image Stitching Using IMU Data from a UAV
Selim Ahmet Iz, Mustafa Unel
Unmanned Aerial Vehicles (UAVs) are widely used for aerial photography and remote sensing applications. One of the main challenges is to stitch together multiple images into a sing…
Vision-Based System Identification of a Quadrotor
Selim Ahmet Iz, Mustafa Unel
This paper explores the application of vision-based system identification techniques in quadrotor modeling and control. Through experiments and analysis, we address the complexitie…
Real-Time Bundle Adjustment for Ultra-High-Resolution UAV Imagery Using Adaptive Patch-Based Feature Tracking
Selim Ahmet Iz, Francesco Nex, Norman Kerle +2
Real-time processing of UAV imagery is crucial for applications requiring urgent geospatial information, such as disaster response, where rapid decision-making and accurate spatial…