A Digital Twin Framework for Traffic-Aware UAV Pavement Monitoring in Open-Traffic Conditions
UAV-based pavement inspection can reduce the cost and risk of road-surface monitoring, but real-world deployment remains difficult when traffic, pedestrians, and temporary occlusions affect defect visibility. This paper presents a Unity-based digital twin framework for traffic-aware UAV pavement monitoring in open-traffic conditions. The proposed environment integrates procedurally generated road defects, dynamic traffic agents, autonomous UAV navigation, and a multitask YOLOv8n perception module for detecting road defects, pedestrians, and vehicles while classifying road-defect subtypes. After synthetic-domain fine-tuning, the perception model achieved 0.959 [email protected] and 0.940 macro F1-sc...
| Authors | Yamil Uchani, Grace Luna, Edwin Salcedo et al. |
|---|---|
| Primary category | cs.RO |
| Published | 17 June 2026 |
| Last updated at source | 4 July 2026 |
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