README.md

metadata

title: Drone Landing Site Safety
emoji: 🛰️
colorFrom: blue
colorTo: green
sdk: gradio
sdk_version: 6.0.0
app_file: app.py
pinned: false

Drone Landing Site Safety

Analyze aerial RGB imagery to detect safe drone landing sites. Combines monocular depth estimation, promptable hazard segmentation, and geometric heuristics to flag flat, obstacle-free areas, with overlays and metrics that show why a spot is safe.

What’s inside

• Main app (app.py) — runs full inference with adjustable thresholds, overlays, and camera assumptions; requires >8GB VRAM (assuming default 1024 px processing resolution); runtime is ~2000 ms per image.

References

• UAV-VisLoc dataset: Xu et al., 2024 (https://arxiv.org/abs/2405.11936)
• Depth Anything 3: Lin et al., 2025 (https://arxiv.org/abs/2511.10647)
• SAM 3: “SAM 3: Segment Anything with Concepts” (https://ai.meta.com/research/publications/sam-3-segment-anything-with-concepts/)