Some linear, extended and unscented movement tracking Kalman filters, with a fun twist
Run ObjectTracker.m and make sure all files are in the same directory. Set your scenarios using the dropdowns.
Press Play and enjoy :-)
Go for Developer Mode if you want to generate your own custom data and play around with the trackers:
| Model Parameters | Filter Tuning | Extra Sensor |
|---|---|---|
Note You can control the Seal if you own an Arduino + MPU IMU sensor suite, this is how it works.
To achieve this, you may choose
Command Driveninstead ofSimulationfor the Running Mode.
The Shark is getting help from a Seagull, who acts like a sensor for detecting your non-linear movements
Note You can trick the shark by moving fast in a non-linear manner
This way you can make the filter diverge due to wrong partial derivative computation