Camera-Cooperative ISAC Framework for UAV Detection

A novel Camera-Cooperative ISAC (CC-ISAC) framework has been proposed to address challenges in detecting non-cooperative unmanned aerial vehicles (UAVs). The framework integrates multimodal sensing to enable efficient beam steering and tracking. It uses cameras for coarse-grained airspace monitoring and ISAC for fine-grained, high-precision sensing, forming a complementary perception loop. Two key modules are developed: a Vision-to-Echo Data Alignment (V2EDA) model using cross-attention mechanisms, and a Multimodal Fusion-Based Estimation (MMFE) model. The research is published on arXiv under identifier 2605.22090.