Timeline for Estimating Real-Time Vehicle Velocity from low-frequency GPS, accelerometer, gyro and magnetometer in Smartphone
Current License: CC BY-SA 4.0
4 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Apr 6, 2020 at 16:06 | comment | added | Legoless | Well, you already answered the question, and of course, I don't expect you to plow through my code. The main question was actually if Kalman filter is the correct approach for this, including the acceleration and braking, or rather if that is theoretically possible. Likely there is a problem with my code, if in theory this is still possible. Thanks for the help! | |
| Apr 5, 2020 at 15:35 | comment | added | TimWescott | Something's off then. A formulation that only cares about acceleration with a direction (i.e., it's agnostic to whether it's cornering or accelerating or decelerating) should be easier to generate than one that differentiates between "putting on the gas" vs. "braking". So I can't say what you're doing wrong. If you start another question and post your algorithm (i.e., equations + explanation: I can't answer for anyone else but I'm not going to plow through your code unless I'm paid to do so) then maybe we can find your issue. | |
| Apr 5, 2020 at 10:21 | comment | added | Legoless | The desired output would be actually 10Hz IMU corrected GPS location, to fill in the 1Hz blanks. I have a basic method implemented and while during the acceleration it seems to be fairly accurate, the deceleration is never detected correctly and is mostly done by the GPS.. | |
| Mar 31, 2020 at 19:08 | history | answered | TimWescott | CC BY-SA 4.0 |