https://github.com/stereolabs/zed-aruco

ZED SDK samples using ArUco tag detection
https://github.com/stereolabs/zed-aruco

aruco stereo-vision zed-camera

Last synced: 4 months ago
JSON representation

ZED SDK samples using ArUco tag detection

• Host: GitHub
• URL: https://github.com/stereolabs/zed-aruco
• Owner: stereolabs
• License: mit
• Created: 2019-06-12T12:55:35.000Z (about 7 years ago)
• Default Branch: master
• Last Pushed: 2025-07-10T12:18:55.000Z (12 months ago)
• Last Synced: 2025-07-10T19:48:30.599Z (12 months ago)
• Topics: aruco, stereo-vision, zed-camera
• Language: C++
• Homepage: https://www.stereolabs.com/developers/
• Size: 396 KB
• Stars: 22
• Watchers: 2
• Forks: 13
• Open Issues: 3
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
# Stereolabs ZED - ArUco sample

This sample shows how to reset the ZED camera tracking to a known reference using an ArUco marker.

![http://chev.me/arucogen/](6x6_1000-25.png)

## Mono

The Mono camera sample located in the [mono folder](./mono) provides an easy way to reset the positional tracking using a marker as a known fixed position in space.

## Multi Camera

The [multi camera sample](./multi-camera) use the marker location to calibrates multiples ZED camera in space. By pointing all the camera to a unique marker, the position of each can be deduced.

The point cloud of every camera is then displayed in the same referential.

## Other

Feel free to modify either sample to fit your need, the marker detection is very convenient and robust and can be used to a number of application where an external position has to be known.

## ArUco markers

This [website](http://chev.me/arucogen/) can be used to easily display Aruco patterns.

The sample is expecting a `6x6 Aruco` Dictionary with a 160mm marker by default. The bigger the marker, the better the camera position will be.

It's important to make sure that the real-world size of the marker matches the size set in the samples (160mm) to avoid scale issues in the tracking.

## ArUco detection

The Aruco detection code is taken from OpenCV Contrib module, please refer to the source files for the license information (BSD 3).

## Support

If you need assistance go to our Community site at https://community.stereolabs.com/