What pavement metrics do you report?

IRI/roughness, rut depth, crossfall/superelevation, lane and shoulder widths, curb and gutter position, vertical and side clearances, and sight-distance checks depending on scope.

What deliverables are provided?

CAD/GIS layers for pavement features, QC report with statistics (RMSE, residuals), cross-sections and profiles, clearance and encroachment checks, plus colorized point clouds and rasters as required.

Road Quality Assurance Alberta | Mobile LiDAR Pavement QA

Classified road point cloud from mobile LiDAR

Rutting analysis derived from mobile mapping data

Road surface extracted from mobile LiDAR

Road corridor point cloud from mobile LiDAR scanner

Overview

Municipal Provincial Highway Urban Rail Asset Management Construction QA

45+

Years Combined Experience

100+ km

Roads Surveyed

mm-grade

Network IRI Output

3–5 days

Report Turnaround

We measure and verify road condition and geometry using mobile LiDAR, inertial profilers, and panoramic imaging. Our workflows compute IRI/roughness, rutting, crossfall and superelevation, lane and shoulder widths, curb & gutter position, vertical and side clearances, and sight distance — delivered as CAD/GIS layers with a rigorous QC report. For deeper context on what separates strong mobile LiDAR providers, see our Not All LiDAR Services Are Equal article.

Relative Precision

±10–20 mm

Absolute Accuracy

±2–5 cm*

Pavement Density

≥ 500 pts/m²

Capture Mode

Traffic-speed

Imagery

Panoramic/RGB optional

*Depends on GNSS conditions and control/checkpoint strategy.

Mobile LiDAR vs Traditional Pavement Inspection

How modern mobile LiDAR road QA compares to traditional methods.

Capability	Manual Walk	Profilometer	Mobile LiDAR (ours)
Network kilometres / day	< 5	30–60	100–300
Operator safety	At risk in traffic	In-traffic vehicle	In-traffic vehicle
Captures geometry, IRI, defects	Limited	IRI / rutting only	Full coverage
Re-walk for re-inspection	Required	Required	Re-process scan
Best fit for	Spot inspections	High-speed IRI	Engineering-grade QA

More: Not All LiDAR Services Are Equal.

See real deliverables

Open our Sample Data Portal — preview orthophotos, point clouds & 3D tiles in your browser.

Featured Project

Municipal Road Quality Assurance

Mobile LiDAR road condition survey delivering IRI, rutting, cracking and ride-quality metrics for a municipal network.

View all projects

Metrics & Tests

Ride & Surface

IRI/roughness indices (per lane)
Rut depth; crossfall/superelevation
Texture indicators (LiDAR/imagery-derived)

Geometry & Safety

Lane/shoulder widths, curb & gutter, edge drop
Vertical/side clearances (bridges, signage, barriers)
Sight-distance & envelope checks

Compliance

Design tolerance checks vs. alignment
Change detection vs. previous surveys
Construction lot acceptance (QA/QC)

Deliverables

Core Data

Classified point clouds (LAS/LAZ) incl. curb/edge
DTM/DSM, contours, slope & hillshade rasters
Colorized point clouds and orthophotos (optional)

Engineering Products

IRI, rutting, crossfall, width maps (GeoTIFF/SHP)
Cross-sections, profiles, and clearance reports
Feature extraction: lane lines, signage, barriers, markings

Formats

LAS/LAZ GeoTIFF DWG/DXF SHP/GDB CSV PDF maps

Workflow

Route planning & safety plan; control layout
Acquisition: mobile LiDAR + profilers at traffic speed
Trajectory solution: GNSS/IMU PPK/PPP (SLAM if needed)
Strip alignment: boresight, overlap residuals, bundle adjustment
Cleaning & classification: pavement, curb/edge, obstacles
Computation: IRI, rutting, crossfall, widths, clearances
Packaging: CAD/GIS layers, profiles/sections, maps
QA/QC report: checkpoints, RMSE, density, conformance

Technology

Sensors

High-rate multi-return LiDAR (up to ~1M pts/s)
Inertial profilers & wheel odometry
Panoramic/RGB cameras for inventory & markings

Positioning

Tightly coupled GNSS/IMU with PPK/PPP
Local control & independent checkpoints
SLAM assistance in GNSS-poor areas (as required)

Software

TerraScan LP360 ArcGIS Global Mapper iTwin Custom QA scripts

Frequently Asked Questions

Do you need lane closures for data collection?

Typically no — vehicle-mounted systems collect at traffic speed following an approved safety plan. We supplement with trolley or backpack mapping in complex or pedestrian areas.

How accurate are your measurements?

Typical absolute accuracy is ±2–5 cm with relative precision of ±5–10 mm for geometry features, contingent on control quality and environment. Every project ships with a QC report listing accuracy benchmarks against independent control points.

Can you align results to our design alignment or site grid?

Yes. We support common EPSG codes and custom site grids. Results can be reported by station/offset and compared to design tolerances.

What about GNSS-challenged areas like underpasses?

We combine tightly coupled GNSS/IMU with SLAM methods and local control/checkpoints to maintain accuracy. QC reports include residuals and RMSE.

Need objective, corridor-wide QA metrics?

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