GitHub - diganthp/Image-processing-of-aruco-markers-using-raspberry-pi: an algorithm in Python to effeciently detect aruco markers from the live video stream, hamming code was used to decode the ID of the marker.
![Sensors | Free Full-Text | Research of Online Hand–Eye Calibration Method Based on ChArUco Board Sensors | Free Full-Text | Research of Online Hand–Eye Calibration Method Based on ChArUco Board](https://pub.mdpi-res.com/sensors/sensors-22-03805/article_deploy/html/images/sensors-22-03805-g010a.png?1652931679)
Sensors | Free Full-Text | Research of Online Hand–Eye Calibration Method Based on ChArUco Board
![Sensors | Free Full-Text | Research of Online Hand–Eye Calibration Method Based on ChArUco Board Sensors | Free Full-Text | Research of Online Hand–Eye Calibration Method Based on ChArUco Board](https://www.mdpi.com/sensors/sensors-22-03805/article_deploy/html/images/sensors-22-03805-g002.png)
Sensors | Free Full-Text | Research of Online Hand–Eye Calibration Method Based on ChArUco Board
![Sensors | Free Full-Text | Research of Online Hand–Eye Calibration Method Based on ChArUco Board Sensors | Free Full-Text | Research of Online Hand–Eye Calibration Method Based on ChArUco Board](https://pub.mdpi-res.com/sensors/sensors-22-03805/article_deploy/html/images/sensors-22-03805-g005.png?1652931671)