From raw sensors to a model you can act on
Every Kelora platform runs the same pipeline: fuse the sensors, understand the terrain, output a model an engineer can use.
The data pipeline
LiDAR, RTK, IMU, cameras
Time-synchronised multi-sensor alignment
3D point cloud processing, obstacle detection
Surface type, roughness, traversability scoring
Georeferenced terrain maps
Route planning, hazard assessment, digital twin output
Autonomous Navigation
GPS-denied waypoint following, obstacle avoidance, and return-to-home using fused sensor data.
Terrain Classification
Machine learning models trained on real-world surface data to classify ground conditions and predict traversability.
Digital Twin Output
Mission data is processed into georeferenced 3D models, terrain maps, and traversability overlays for offline analysis.
Land. Sea.
Kelora is developing autonomous platforms for terrain that is difficult, dangerous, or impossible to inspect by hand. Puffin TS1 is the first. The ocean is next.
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