These types of markers are known as ArUco markers and they are quite commonly used for computer vision tasks. Here's some more info: https://docs.opencv.org/3.4/d5/dae/tutorial_aruco_detection.html
hershg
Markers like these are frequently used for sensor calibration and orientation as well, since they present easy to recognize patterns for cameras
hannahmcneil
I was reading about these markers and part of the algorithm involves detecting candidate markers in the environment and then accepting or rejecting them. So it seems the speed/lag of such a system would rely heavily on the specifics of the environment, for example if there were a lot of square shapes around (like a particular wallpaper pattern) that could potentially cause there to be much more lag or even corruption if the patterns were too similar.
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These types of markers are known as ArUco markers and they are quite commonly used for computer vision tasks. Here's some more info: https://docs.opencv.org/3.4/d5/dae/tutorial_aruco_detection.html
Markers like these are frequently used for sensor calibration and orientation as well, since they present easy to recognize patterns for cameras
I was reading about these markers and part of the algorithm involves detecting candidate markers in the environment and then accepting or rejecting them. So it seems the speed/lag of such a system would rely heavily on the specifics of the environment, for example if there were a lot of square shapes around (like a particular wallpaper pattern) that could potentially cause there to be much more lag or even corruption if the patterns were too similar.