SOURCE-LINKED INTELLIGENCE
OpenFlyScan: A Quality-Guided Aerial Reconstruction System for Consumer Drones
3D Gaussian Splatting (3DGS) provides high-fidelity scenes for large-scale embodied simulation, but constructing large-scale urban assets remains constrained by expensive equipment and delayed quality feedback. Preset surveys can leave complex surfaces insufficiently observed, with defects discovered only after reconstruction, requiring return visits and repeated processing. We present OpenFlyScan, a quality-guided aerial reconstruction system for consumer drones that integrates a GS quality model, a reacquisition planner, and a custom-designed mobile app. The model learns from GS rendering er
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-21T08:17:56.000Z
First collected: 2026-09-23T08:01:43.213Z. This is not the publication date.