sciss Posted April 25, 2018 at 10:10 PM Share Posted April 25, 2018 at 10:10 PM I'm wondering how you can get a non-drifting signal like here: In the comments, the OP claims that only the quaternions are needed. They are indeed quite stable on my display, while the linear acceleration is very noise (in the magnitude of 0.1 m/s^2 error). How would I do the integration based on quaternions? It sounds odd to me, as they are only giving orientation, right? Any ideas? best, ..h.h.. Quote Link to comment Share on other sites More sharing options...
sciss Posted April 26, 2018 at 12:17 AM Author Share Posted April 26, 2018 at 12:17 AM Ok, so the trick in that video is that it uses three IMUs, and assumes the first (top-most) is not moving but only rotating; so it has precise rotation for that, then extends a vector of known length from there, adds a second rotation, extends another known vector, adds the third rotation; thus only rotations are used, and this doesn't solve any real motion tracking problems. Has anyone found good filtering techniques to minimise the drift problem of the accelerometer? Quote Link to comment Share on other sites More sharing options...
Recommended Posts
Join the conversation
You can post now and register later. If you have an account, sign in now to post with your account.