apriltag VS sra-board-component

Now I know why. The blog post about the GM1 release says this: "The 2023-2024 CENTERSTAGE℠ field will contain AprilTag targets, developed by researchers at the University of Michigan to provide low overhead, high accuracy localization for applications such as robotics."

There are solutions available to identify tags like this, only with more bits of data. One example is April tags: description, Github.

You can generate April tags (https://april.eecs.umich.edu/software/apriltag) and print them on letter address labels, and place those on your subject’s skin. Measure the distance between them. Then, in reality capture (www.capturingreality.com) you use “detect markers” to automatically identify those April tags, and “define distance” to input the precise distance between them. Click “update” in alignment to correct the scaling, and ta-da! - you’ve got a scaled model.

I haven't seen anyone post about this yet, so I thought I'd share. From the blog, FIRST will be phasing out of retroreflective tape for vision tracking in the 2023 season. The field will have both retroreflective tape and Apriltags

Just use this - good enough for NASA, compiles on basically anything, and small enough codebase to tinker.

FYI: my program is pretty similar to this example: https://github.com/AprilRobotics/apriltag/blob/master/example/opencv_demo.cc

Yes. I have used this tool in projects like Wall-E: A self-balancing and line-following robot , OTA_update_STM32_using_ESP32 and OTA_update_AVR_using_ESP32.