AI RESEARCH
Mobile Traffic Camera Calibration from Road Geometry for UAV-Based Traffic Surveillance
arXiv CS.CV
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ArXi:2605.11900v1 Announce Type: new Unmanned aerial vehicles (UAVs) can provide flexible traffic surveillance where fixed roadside cameras are unavailable, costly, or impractical. However, raw UAV video is difficult to use for traffic analytics because vehicle motion is observed in perspective image coordinates rather than in a stable metric road coordinate system. This paper presents a lightweight pipeline for converting monocular oblique UAV traffic video into a local metric bird's-eye-view (BEV) representation.