Timeline for Given Position Measurements, How to Estimate Velocity and Acceleration
Current License: CC BY-SA 4.0
10 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Oct 13, 2019 at 12:39 | history | edited | Royi | CC BY-SA 4.0 | edited tags; edited title |
| Oct 13, 2019 at 12:32 | history | edited | Royi | CC BY-SA 4.0 | edited title |
| Oct 13, 2019 at 3:17 | comment | added | Mike | In Scipy this might be useful <docs.scipy.org/doc/scipy-0.16.1/reference/generated/…> | |
| Jun 10, 2013 at 5:56 | vote | accept | lgwest | ||
| Jun 8, 2013 at 18:02 | answer | added | datageist♦ | timeline score: 12 | |
| Jun 7, 2013 at 16:57 | history | tweeted | twitter.com/#!/StackSignals/status/343049161832292353 | ||
| Jun 7, 2013 at 16:33 | answer | added | Peter K.♦ | timeline score: 2 | |
| Jun 7, 2013 at 15:29 | comment | added | Jason R | This is an appropriate application of a Kalman filter. The Wikipedia article on Kalman filters has an example very much like yours. It only estimates position and velocity, but if you understand that example, it is straightforward to extend it to acceleration also. | |
| Jun 7, 2013 at 15:14 | review | First posts | |||
| Jun 9, 2013 at 20:14 | |||||
| Jun 7, 2013 at 14:56 | history | asked | lgwest | CC BY-SA 3.0 |