Emesent Hovermap ST cistern survey: SLAM mapping lessons for underground engineers
Reviewed by Joe Ashwell

First reported on Australian Mining
30 Second Briefing
Emesent and Italian survey firm 3DMetrica used the Hovermap ST LiDAR scanner to create a complete 3D model of medieval castle underground water cisterns where GNSS is unavailable and access is via a small overhead opening. The unit was lowered through the vertical shaft to capture geometry and volume without sending personnel into a confined, potentially unstable space. The project shows how SLAM-based LiDAR mapping workflows used in stopes, drives and old workings can transfer directly to heritage and other complex underground voids.
Technical Brief
- Workflow mirrors underground mining void scans, indicating direct transferability of safety protocols and QA steps.
- Project illustrates a repeatable approach for heritage assets where confined-space regulations restrict conventional manned surveys.
Our Take
Emesent’s use of Hovermap ST in a medieval castle aligns with other recent items in our database where the company is pushing its SLAM and autonomy stack into non-mining, GPS-denied environments, suggesting the core technology is being validated for broader underground asset inspection and heritage work as well as mines.
The Australian Government CRC-P funding for Emesent’s Cortex AI platform, noted in a related piece, indicates that lessons from complex, cluttered spaces like historic cisterns are likely feeding directly into more robust autonomy and obstacle-avoidance capabilities for future underground mining deployments.
Prepared by collating external sources, AI-assisted tools, and Geomechanics.io’s proprietary mining database, then reviewed for technical accuracy & edited by our geotechnical team.
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