Improving UAV Assisted Spatial Monitoring with Semiautomated Fine Tuning of Vision Language Models
Detecting low-metal anti-personnel mines (e.g., PFM-1) challenges traditional clearance methods, while standard UAV computer vision often generates high falsepositive rates in cluttered environments. To address this, we propose a multilevel edge-ground-cloud architecture that escalates ambiguous ground-station detectio...