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Especially important for lower quality phones, but this can quite dramatically reduce noise even in fairly open skies on an iPhone! See https://mastodon.social/@_Davidsmith/111409340172869799.
This…
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Incorrect usage of Kalman filtering, because there is no speed information inputed:
` self.tracks[i].prediction = self.tracks[i].KF.correct( detections[assignment[i]], 1 )`
You should create KF_X…
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Dear all,
Is the kalman filtering removed in the code of the latest version?
I cannot find any source code related to kalman filtering.
Thanks.
Best wishes,
Edward
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**Original article:** The Discriminative Kalman Filter for Bayesian Filtering with Nonlinear and Non-Gaussian Observation Models
**PDF URL:** https://github.com/Josuelmet/Discriminative-Kalman-Filt…
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The task of estimating the correct point at time T given past times is called Filtering in statistics. This is exactly what's happening here so it's the perfect fit :) Should eliminate the input lag (…
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Trackcycle currently isn't as intelligent with dead reckoning as I think it could be. The problem is that it's mostly just checking to see if the angle between its last known trajectory and current tr…
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Would be neat to be able to do continuous-discrete ekf and ukf in the sense that a non-linear prior is linearised. So far, only a non-linear measurement model is linearised. See eg. Algorithm 10.24 in…
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I've been looking at Durbin and Koopman's smoothing algorithm (page 17 of [this PDF](https://www.kevinsheppard.com/images/2/23/Kalman_durbin_koopman.pdf)) as a way to avoid repeatedly inverting the s…
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After filtering with kalman filter my position is very noisy.
My sensor sends me a quaternion from IMU which i use instead of madgwick.
Then I make rotation matrix from it, and rotate my acceleratio…
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