Mobile Mapping and Infrastructure Intelligence
Georeferenced 3D reconstruction and asset understanding from vehicle-mounted LiDAR and camera systems.
Road and infrastructure work is survey work: the value is in geometry that is accurate, georeferenced and repeatable between passes. We provide the processing chain from raw mobile-mapping data to a spatial database an asset team can query.
MOBILE MAPPING · CAPTUREThe capture stage — raw sensor observation, before anything has been interpreted.
What We Provide
From a recorded mapping run to structured, georeferenced spatial data.
Mobile mapping
Trajectory estimation and point-cloud registration from vehicle-mounted sensor rigs.
Road geometry
Reconstructing carriageway geometry, gradient, curvature and cross-section from registered data.
Lane and marking understanding
Extracting lane boundaries and painted markings as vector geometry rather than as pixels.
Asset recognition
Identifying signs, barriers, poles, drainage and other roadside assets, with position and classification.
LiDAR / camera georeferencing
Placing every observation into a global reference frame suitable for GIS integration.
Change detection
Comparing passes to identify what has been added, removed or has deteriorated since the last survey.
What This Enables
- Asset inventories derived from measurement rather than manual inspection
- Georeferenced 3D road models suitable for GIS and design workflows
- Repeatable surveys that can be compared over time
- Inspection effort directed to where something has actually changed
Discuss an Infrastructure Programme
Tell us about the survey platform, the network extent and the deliverables required.