Sky-to-Ground Mapping

One of the coolest problems in autonomous robotics is aligning top-down aerial mapping (from a drone) with ground-level spatial telemetry (from an autonomous rover).

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🛰️ The Multi-Sensor Pipeline

1. Top-Down Aerial Layer: High-resolution orthomosaic map generated from drone aerial imagery.
2. Ground-Level Telemetry: Real-time 3D point cloud streaming from a LiDAR/VIO sensor on an ESP32/RP2040 micro-rover platform.

[Drone Aerial Orthomosaic] 
         │
         ├─── (Coordinate Frame Alignment / Extrinsic Calibration)
         ▼
[Rover LiDAR / VIO Point Cloud @ Ground Level]

By visualising coordinate frames in Foxglove Studio, you can map relative ground-level obstacle vectors onto global aerial maps in real time! 🗺️