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    Emesent Hovermap ST cistern survey: SLAM mapping lessons for underground engineers

    October 27, 2026|

    Reviewed by Joe Ashwell

    Emesent Hovermap ST cistern survey: SLAM mapping lessons for underground engineers

    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.

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    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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