Deep Learning-Based Highway Rockfall Early Warning System
Abstract
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.
Fields of Study & Subjects
Landslides and related hazards
Infrastructure Maintenance and Monitoring
Advanced Neural Network Applications
Publication details
- Journal / source
- Journal of Electronic Research and Application
- Volume
- 10
- Issue
- 1
- Pages
- 239–244
- Publication date
- 12 February 2026
- Language
- EN