ArUco stands for Augmented Reality Universiy of Cordoba which is a university of Spain where the ArUco markers where developed. These are black markers with a generated white patern inside that represents the said ID. These markers can then be printed and used to detect in images or camera frames. With this you can for example detect where these markers are in on the camera and replace the part that is marked out. Or like what we need. Place these markers in the room for a robot to detect. With these markers the robot can detect where it is positioned by defining where de markers are supposed to be in the room. Since you can calculate the distance and angle between the robot and the detected markers.

Sources

1. Nayak, S. (2021, May 4). Augmented Reality using ArUco Markers in OpenCV (C++ / Python) | LearnOpenCV #. LearnOpenCV – OpenCV, PyTorch, Keras, Tensorflow Examples and Tutorials. Retrieved January 10, 2022, from https://learnopencv.com/augmented-reality-using-aruco-markers-in-opencv-c-python/

Related Issues

Issues: #148