Timeline for Line based Extended Kalman Filter for localization : Measurement Jacobian
Current License: CC BY-SA 3.0
9 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Jan 6, 2018 at 8:04 | vote | accept | shubham sharma | ||
| Jan 5, 2018 at 20:23 | comment | added | Peter K.♦ | OK! I've added that comment as an answer. | |
| Jan 5, 2018 at 20:23 | answer | added | Peter K.♦ | timeline score: 1 | |
| Jan 5, 2018 at 19:21 | comment | added | shubham sharma | Thanks @PeterK. Sir. Your suggestion to stack the observation worked perfectly. Actually , for 8 measurements the Jacobian was 16X3 , I only had to stack one above another. | |
| Jan 5, 2018 at 17:34 | comment | added | Peter K.♦ | Welcome to DSP.SE! What you haven't told us is what your measurement / signal model is? How are you modeling the state transitions? How are you modeling the output equation i.e. How does the state get to the measurements? Without that information, we can't tell you much about how to get your Jacobian right. Usually, with multiple measurements, you just stack the state / observations so things go from $2\times 3$ to $2\times 24$ in the case of 8 measurements. | |
| Jan 5, 2018 at 17:28 | history | edited | Peter K.♦ | CC BY-SA 3.0 |
LaTeXing.
|
| Jan 5, 2018 at 15:11 | history | edited | shubham sharma |
edited tags
|
|
| Jan 4, 2018 at 20:06 | review | First posts | |||
| Jan 5, 2018 at 22:16 | |||||
| Jan 4, 2018 at 20:04 | history | asked | shubham sharma | CC BY-SA 3.0 |