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Ideas
- use session store for input buffer (vs. recalculating trace each time)
- simple moving average (Math.mean)
- kalman filtering (kalmanjs)
- generate new trace (add/extend) for filtered data…
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hello, i have a small question about principle. hope you can help me. If I use an RGBD camera and a 2D lidar as sensors when using rtab-map, how does rtab-map fuse the two types of data? Does it perfo…
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i can't find the codes used for filtering in postprocessing stage like kalamn filter and extended kalman filter...etc
where can i found it?
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This is a question.
I was wondering if adaptive Kalman filtering is implemented for state-space models?
If it not implemented, could you, please, let me know what the relevant files are that I n…
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We need to improve the Kalman filter used for our track prediction. Maybe use the version in the SORT implementation as reference. We will need this in order to help predict the path of the object bei…
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Information needed on the Sensors:
- [ ] Sensors used for Perception, include the reasons for the use
- [ ] Sensor Fusion Algorithm that will be used
- [ ] Noise FIltering Algorithms to reduce Sens…
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I have seen the kalman filter , I would like to develop the generic DBN to do the same stuff. but also work non-linear noise/error in data. here is my KF code.
```python
import numpy as np
import…
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Implement some kind of filter (Kalman filtering? Spring-mass system?) to reduce the back-and-forth-iness of the bbox centers we're getting from Darkflow. Currently we have an exponential average, but …
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Thanks for your sharing. The example code works well with my own biped robot walk data.
But I am puzzled with the derivation of some equations in the paper titled
> Contact-Aided Invariant Exte…
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**Is your feature request related to a problem? Please describe.**
`rc_kalman_update_lin()` and `rc_kalman_update_ekf()` both current do the prediction and correction steps of the Kalman filter at th…