PythonRobotics VS apriltag

I usually start here: https://github.com/AtsushiSakai/PythonRobotics , but I'm not sure how much is extended to 3D off the top of my head.

Code is on github. You could try to start with the main method here: https://github.com/AtsushiSakai/PythonRobotics/blob/master/PathPlanning/AStar/a_star.py

Also another good source of material https://atsushisakai.github.io/PythonRobotics/

Look into the following source. Its not implemented in ROS but there are examples of implementation of Robotics algorithms in python. From there it should be easy to implement them in ROS after you understand how ROS work. https://atsushisakai.github.io/PythonRobotics/

This was partly inspired by PythonRobotics (which I love!). However, I don't want this repo to become a huge collection of unorganized algorithms. I want the focus to be on quality over quantity. At the same time, I don't want this repo to be only "educational". While I want to include as many examples as possible for educational (and documentation) purpose, I want this library to be fast so that it can be used in practical applications.

check out python robotics https://github.com/AtsushiSakai/PythonRobotics

https://github.com/AtsushiSakai/PythonRobotics#linearquadratic-regulator-lqr-speed-and-steering-control

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