LiDAR and 3D annotation

Morvio labels point clouds with 3D cuboids, segmentation and object tracks, scoped with you per project, in your tool or a widely used open-source one.

Send a project brief Get an estimate

Top-down view of a LiDAR sweep around the ego vehicle: 26 boxes (18 pedestrian, 7 car, 1 cyclist) with heading lines, points coloured by height, 60 by 45 metres. — Fig. 01 · Example task · LiDAR · 3D boxes, top-downYaw-oriented 3D boxes with heading lines on cars, pedestrians and a cyclist in a LiDAR sweep, seen from above.

Price basis: Per frame or per cuboid; Scoped with you per project.
Who does the work: Annotators recruited for the task; They work in your tool or a widely used open-source one.
Review: QA reviewers; They check cuboid fit, heading and class on sampled frames, and track IDs across each sequence.
How to start: Send a project brief; Describe the task in five short steps. You do not need to send any data.

Scope

3D cuboids, point-cloud segmentation and object tracking, scoped with you per project
Sensor fusion with camera images

3D cuboid labelling of a simulated street LiDAR sweep: 25 shapes (18 car, 5 pedestrian, 1 van, 1 cyclist). — Fig. 02 · Example task · LiDAR · 3D cuboidsYaw-oriented 3D cuboids with heading lines on cars, a van, pedestrians and a cyclist in a simulated LiDAR sweep.

Top-down polygon labelling of a simulated street LiDAR sweep: 83 shapes (20 obstacle, 19 vehicle, 13 occluded area, 13 curb, 8 structure, 5 pedestrian, 4 free space, 1 cyclist). — Fig. 03 · Example task · LiDAR · Bird's-eye polygonsFree space, occluded areas, curbs, vehicles, road users, obstacles and structures marked on a top-down LiDAR sweep.

Indicative price

Per frame or per cuboid, scoped with you per project.

After the pilot, we confirm the production price in writing.

Get an estimate

Specification

Quality metric: 3D IoU and attribute accuracy on reviewed frames
Tools: Your tool, or a widely used open-source one

Who does the work

Each LiDAR project has its own team: a team leader, annotators recruited for the task, and dedicated QA reviewers.

The team meets daily, and everyone signs an NDA before seeing data. Your project lead is the founder, Khaled Zerouki.

Quality method

How we check it

QA reviewers check cuboid fit, heading and class on every frame.
Track IDs are checked across each sequence.
Occlusion and sparse points are settled in calibration and written into the guideline.

Discuss your project

Two ways to start. Both reach Khaled Zerouki.

Book a call. Pick a time in your own time zone.

Book a call

Send a project brief. Describe the task in five short steps. You do not need to send any data.

Send a project brief

Want a price first?

Get an estimate

We reply within 1 business day.¹ NDA on request. We can plan and price your project without seeing your data.

¹ Business days are Monday to Friday, UK time, excluding public holidays in England and Wales.