A Tri-Modal Dataset and a Baseline System for Tracking Unmanned Aerial Vehicles

ArXi:2511.18344v2 Announce Type: replace With the proliferation of low altitude unmanned aerial vehicles (UAVs), visual multi-object tracking is becoming a critical security technology, demanding significant robustness even in complex environmental conditions. However, tracking UAVs using a single visual modality often fails in challenging scenarios, such as low illumination, cluttered backgrounds, and rapid motion. Although multi-modal multi-object UAV tracking is resilient, the development of effective solutions has been hindered by the absence of dedicated public datasets.