UAV Detection

UAV detection research focuses on developing robust and reliable systems to identify and track unmanned aerial vehicles, addressing security and safety concerns. Current efforts concentrate on improving detection accuracy across diverse conditions (e.g., low light, complex backgrounds, rain) using various sensor modalities (LiDAR, RGB, infrared, event-based cameras) and advanced algorithms like deep learning networks (e.g., YOLO variants, custom architectures incorporating attention mechanisms and sensor fusion). This work is crucial for enhancing airspace management, security systems, and public safety by providing reliable methods for detecting unauthorized drone activity.