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

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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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