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Case study
Precision GIS & AR mapping for underground utility infrastructure
The problem
Mapping underground utilities without precise positioning creates costly mistakes.
- No centimeter-level accuracy
- AR markers misaligned with real-world coordinates
- No offline capability in zero-signal zones
- Surveying and locating handled in disconnected tools
The starting point
Before
- Standard GPS only, no RTK correction
- Two workflows with no integration
- Manual reference point recording
- No field-grade AR data collection
The challenge
Centimeter accuracy in harsh field conditions + seamless 3D scan across 300 meters + full offline capability.
The solution
Two apps. One unified field mapping system.
01 — Locator: AR asset mapping
- AR-based utility scanning with real-world coordinate alignment
- Ticket management + AI data validation
- Offline-first with opportunistic sync
02 — Surveyor: Precision reference point mapping
- GNSS + RTK integration, centimeter-level accuracy
- Reference point surveying with field-grade precision
- Offline-first with opportunistic sync
Key decisions
1. Rubbersheeting
AR works in screen space. Infrastructure exists in geographic space. We used rubbersheeting to align every AR marker with actual coordinates — without this, centimeter accuracy is impossible.
2. LiDAR + RTK for 300m trench scanning
Combined LiDAR point clouds with RTK-corrected GNSS and long-distance mesh stitching to produce a seamless georeferenced 3D model across the full trench length.
3. Offline-first architecture
Both apps write locally first and sync when coverage returns. Built for underground conditions where connectivity is zero by default.
Results
- Centimeter-level accuracy for underground asset mapping
- Seamless 3D model of a 300-meter trench — georeferenced and export-ready
- Two production apps covering the full field workflow
- Full offline capability
- Unified system replacing fragmented manual processes