This paper proposes a deep learning-based rockfall warning system for mountainous road curves. It utilizes drone inspections combined with the YOLOv11 object detection algorithm to accurately identify rockfalls on road surfaces, while employing ground-based millimeter-wave radar for real-time vehicle detection. The system features a comprehensive curve blind spot warning mechanism and incorporates a wireless communication module to push instant alerts to mobile navigation terminals based on rockfall risk and vehicle location. This system effectively addresses the challenges of rockfall identification and delayed warnings within blind spots on curves. It reduces manual inspection costs while significantly enhancing driving safety on mountainous roads.