The grunt work in calibration and point clouds,
now two clicks on the web
Online tools for people working on SLAM, robotics and autonomous driving. No CloudCompare install, no Python environment, no uploading your data to someone else’s server — it all runs locally in your browser. The calibration board generator is live; the rest ships in dependency order.
Available now
Calibration board generator Live
Millimetre-accurate checkerboard boards with a 100 mm print scale check and ready-to-paste OpenCV parameters; large boards split across sheets.
Point cloud tools Partly live
Format conversion is live; editing, registration, coordinate transforms and LiDAR calibration follow in dependency order — see the roadmap below.
Roadmap
The order is deliberate: get the deploy pipeline working first, then layer tools up as point cloud read/write → editing → registration → calibration.
- 01 Checkerboard board generator Live
- 02 Point cloud format conversion Live
- 03 Point cloud editing Planned
- 04 Point cloud registration Planned
- 05 Point cloud coordinate transform Planned
- 06 LiDAR calibration Planned
- 07 LiDAR–camera joint calibration Planned
Why build these
Nothing is uploaded
Calibration and point cloud data often carries client information or unpublished work. Everything here runs inside your browser: no backend, no upload, no storage.
Millimetre-accurate
Boards are emitted as vector PDF with physical size defined in millimetres — no bitmap rescaling. A 100 mm scale bar on the sheet tells you instantly whether the print was shrunk.
Built the way engineers work
Squares and inner corners are kept strictly apart, and patternSize / squareSize are written where you can copy them straight into code.