12 citations · 12 across the 2 of their papers we have counts for
4 papers · 1 filter
Detector-Augmented SAMURAI for Long-Duration Drone Tracking
Tamara R. Lenhard, Andreas Weinmann, Hichem Snoussi +1
Robust long-term tracking of drone is a critical requirement for modern surveillance systems, given their increasing threat potential. While detector-based approaches typically ach…
SynDroneVision: A Synthetic Dataset for Image-Based Drone Detection
Tamara R. Lenhard, Andreas Weinmann, Kai Franke +1
Developing robust drone detection systems is often constrained by the limited availability of large-scale annotated training data and the high costs associated with real-world data…
Performance Optimization of YOLO-FEDER FusionNet for Robust Drone Detection in Visually Complex Environments
Tamara R. Lenhard, Andreas Weinmann, Tobias Koch
Drone detection in visually complex environments remains challenging due to background clutter, small object scale, and camouflage effects. While generic object detectors like YOLO…
YOLO-FEDER FusionNet: A Novel Deep Learning Architecture for Drone Detection
Tamara R. Lenhard, Andreas Weinmann, Stefan Jäger +1
Predominant methods for image-based drone detection frequently rely on employing generic object detection algorithms like YOLOv5. While proficient in identifying drones against hom…