Seevia ATLAS

Capturing, digitising and analysing infrastructure

A vehicle with cameras, LiDAR and GNSS drives streets and roads with the traffic and delivers a digital twin with every asset located, measured and with its condition.

Digital twin of a street built from the point cloud.

Seevia ATLAS is a platform for capturing, digitising and analysing infrastructure from a sensor-equipped vehicle.

What it solves

Public space inventories are usually done on foot and soon go out of date. Seevia ATLAS gets them from a vehicle driving with the traffic.

Less time in the field

The survey is automated from the vehicle, with less preparation time and faster mobilisation.

Use of vehicles already on the road

We mount the kit on the vehicles that already go out in your daily operation, so they inventory while doing their route.

Inventory updated on every pass

Each drive updates the inventory and compares the condition of every asset with the previous pass.

Illustrative diagram

How it works

Capture on the move

Cameras, 360 LiDAR and GNSS with IMU while the vehicle drives.

What the LiDAR sees from the moving vehicle.

3D inventory

The point cloud is classified: road, vehicles, trees, furniture.

3D inventory: the cloud classified into road, vehicles and trees.

Georeferenced

Every point and asset in its position on the orthophoto.

The point cloud, georeferenced on the orthophoto.

Viewing in the app

A record per asset, condition and actions, linked to your GIS.

The tree inventory in the Seevia ATLAS app.

Equipment

In each project we choose and mount the equipment the case needs. These are the elements we work with.

Capture

LiDAR, cameras, GNSS and IMU, chosen for each network, synchronised and calibrated.

Mobile platform

On a vehicle driving with the traffic, yours or ours.

Delivery

Georeferenced inventory for your GIS and APIs for third parties.

Seevia ATLAS kit on the roof rack: 360 LiDAR, RGB camera and GNSS, synchronised and calibrated.

Projects where it is used

A major multinational urban services concessionaire

Urban tree inventory from a vehicle

We fit a 360° LiDAR, a camera and RTK-corrected GNSS on a vehicle that drives with the traffic and, with Seevia ATLAS, we locate every tree and empty tree pit, measure its height, trunk and crown, and cross-check the result with the existing inventory to keep it up to date.

See the project →

Questions

Does the street need to be closed for capture?

No. It is done from a vehicle driving with normal traffic.

Can a new type of asset be inventoried?

Yes. Tell us which asset or defect matters to you and we adapt the detection.

Does it integrate with our GIS?

Yes. It is delivered georeferenced and in formats that geographic information systems import.

What else comes from the same drive?

The surface condition and the road's readiness for automated driving (ISAD scale). The 3D model is to scale, so measurements can be taken from the office.

Let's talk

Tell us your case and we will look at it with your data.

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