Articles / Research & field experience

Fresh perspectives.
From the field.

Explore how SLAM is changing energy, mining, rail and construction. Research insights, practical questions and real capture stories — with the evidence behind the ideas.

18 articles

Illustrative point cloud of an industrial plant
Energy / 3 min read

Substation Digital Twins: Build the Map Before Automating the Inspection

How SLAM mapping can support repeatable substation inspections, and why geometry, asset identity and inspection measurements need separate checks.

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Illustrative scan of a tunnel with repetitive geometry
Mining / 3 min read

Underground SLAM: Why Long, Repetitive Mine Drives Challenge Your Map

Understand geometric ambiguity underground and plan a capture that can be checked beyond the portal.

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AutoMap point cloud of Rosewood railway station
Rail / 3 min read

Rail Corridor Mapping: Connecting Open Track, Stations and Tunnels

What rail SLAM research reveals about sensor fusion, calibration and delivering a consistent corridor map.

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Illustrative building point cloud from the AutoMap library
Construction / 3 min read

From SLAM to BIM: Making Site Captures Fit the Design Model

Why an exported point cloud is only the start of a reliable comparison between site conditions and the design.

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Robotic inspection imagery from the AutoMap library
Energy / 3 min read

Nuclear Site Mapping: Putting Radiation Measurements in Their Spatial Context

How SLAM and specialist radiation sensing can work together, and what a geometric map cannot tell you on its own.

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Illustrative three-dimensional underground mine capture
Mining / 3 min read

From Mine Survey to Vehicle Navigation: One Site, Different Maps

Understand why surveying, localisation and automated navigation need different representations of the same underground environment.

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Illustrative linear corridor mapping imagery
Rail / 3 min read

Rail Tunnel SLAM: Finding Reliable Position in Repetitive Geometry

Why tunnel matching can be ambiguous, and what semantic and magnetic SLAM research adds to the discussion.

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Illustrative site capture from the AutoMap library
Construction / 3 min read

Construction Progress You Can Verify: Combining SLAM, BIM and Site Evidence

Build a progress-monitoring workflow that distinguishes completed work, design changes and areas the scanner could not observe.

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Illustrative comparison of repeated mapping captures
Mining / 3 min read

Has the Ground Changed? Reading Repeat SLAM Surveys in Underground Mines

How to distinguish real site changes from registration error, coverage differences and processing effects in repeat mine surveys.

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Illustrative SLAM mapping characteristics
Construction / 3 min read

Choosing SLAM for Construction: Test the Hard Parts Before You Buy

Use lessons from the Hilti SLAM research to design a practical acceptance test for your own construction workflow.

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Point cloud of the Walter Taylor Bridge tower and neighbouring rail bridge, captured on foot with a TerrusM
Field notes / 3 min read

Complex Infrastructure

Replacing 200+ static setups with an hour of walking — how a mobile SLAM backpack captures bridges and urban cityscapes without closing a single road.

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Colourised point cloud of an underground mine drive with services along the backs
Field notes / 4 min read

Survey Control for Global Accuracy

Tying GPS-denied SLAM captures to known survey control so underground and indoor maps meet real-world accuracy requirements.

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Colourised point cloud of the heritage Rosewood train station, captured from the ground
Field notes / 4 min read

Detailed Digital Twins

Where drones can’t fly — indoors, underground, in confined plant — ground-based mobile LiDAR builds the colourised digital twin instead.

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Point cloud of a bare, low-detail underground cavern and tunnel portal
Field notes / 4 min read

Low Detail Subterranean Areas

A repeatability study through the Ernest Junction Railway, proving how consistently TerrusM holds its odometry in low-detail tunnels.

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Elevation-coloured point cloud of a linear road corridor with transmission towers
Field notes / 4 min read

Linear SLAM Mapping

Mapping Wolston Rd end-to-end to measure how WildcatSLAM’s odometry performs over long, feature-light linear surface routes.

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Boston Dynamics Spot robot carrying an AutoMap SLAM scanner
Field notes / 3 min read

Autonomous Inspection Vehicle

Mounting an AutoMap scanner on an autonomous rover — developed with BIA5 — to map and inspect large sites repeatedly, with no operator on the loop.

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Overlaid repeat captures of a suburban street corridor rendered in intensity colours
Field notes / 5 min read

Survey Mapping

Why repeatability — not a single accurate capture — is the SLAM characteristic that makes a map trustworthy enough to survey against.

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Two shaft capture trajectories overlaid in red and blue for comparison
Field notes / 5 min read

Underground Localisation

An overview of the failure modes that decide whether a SLAM localisation holds underground — slip, drift, aliasing and global repeatability.

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