C2FDrone: Coarse-to-Fine Drone-to-Drone Detection using Vision Transformer Networks

arXiv:2404.19276v1 Announce Type: new
Abstract: A vision-based drone-to-drone detection system is crucial for various applications like collision avoidance, countering hostile drones, and search-and-rescue operations. However, detecting drones presents unique challenges, including small object sizes, distortion, occlusion, and real-time processing requirements. Current methods integrating multi-scale feature fusion and temporal information have limitations in handling extreme blur and minuscule objects. To address this, we propose a novel coarse-to-fine detection strategy based on vision transformers. We evaluate our approach on three challenging drone-to-drone …

abstract applications arxiv challenges collision cs.cv current detection drone drones feature fusion however information limitations networks object operations processing real-time real-time processing requirements scale search small temporal transformer type unique vision