Timeline for Kalman Filter Motion model with moving sensors
Current License: CC BY-SA 4.0
4 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Feb 26, 2022 at 16:37 | comment | added | bark | Although the measurements are given to me in Latitude, Longitude, and Altitude, I always convert this to ENU (local) or ECEF (global) coordinates as the constant velocity model is more complex and nonlinear in WGS84 coord as you had mentioned. This issue seems separate from the movement of the sensors though. Also, the measurement covariance has already been rotated appropriately (for a linear transformation of coordinates $A$ then measurement covariance $R$ becomes $ARA^T$. Thank you for the reply! | |
| Feb 26, 2022 at 4:13 | comment | added | TimWescott | Note that this says in plain English what I said in Math. Pick which one makes the most sense to you -- or read both, if and only if it helps you understand. | |
| S Feb 25, 2022 at 23:01 | review | First answers | |||
| Feb 25, 2022 at 23:07 | |||||
| S Feb 25, 2022 at 23:01 | history | answered | Steve Gilbert | CC BY-SA 4.0 |