Hallo everyone,
I’m following this example(in link) in Matlab to make ego location. In extended Kalman Filter, if I use fucntion-helpTuneinsEKF of example, matlab always reminds me that the matrix is singular in the accuracy of the calculation. I try to redefine the initial value of additive process noise for optimal tuning, but I habe no idea how can I define these values like additive process noise for orientation and…
apnoise(stateinfo(filter, "Orientation")) = [0.02014531; 100; 7.0076611; 1.308652];
apnoise(stateinfo(filter, "AngularVelocity")) = [0.0007698; 100; 100];

thank you
Best regards
https://de.mathworks.com/help/driving/ug/ego-vehicle-localization-using-gps-and-imu-fusion-for-scenario-generation.htmlHallo everyone,
I’m following this example(in link) in Matlab to make ego location. In extended Kalman Filter, if I use fucntion-helpTuneinsEKF of example, matlab always reminds me that the matrix is singular in the accuracy of the calculation. I try to redefine the initial value of additive process noise for optimal tuning, but I habe no idea how can I define these values like additive process noise for orientation and…
apnoise(stateinfo(filter, "Orientation")) = [0.02014531; 100; 7.0076611; 1.308652];
apnoise(stateinfo(filter, "AngularVelocity")) = [0.0007698; 100; 100];

thank you
Best regards
https://de.mathworks.com/help/driving/ug/ego-vehicle-localization-using-gps-and-imu-fusion-for-scenario-generation.html Hallo everyone,
I’m following this example(in link) in Matlab to make ego location. In extended Kalman Filter, if I use fucntion-helpTuneinsEKF of example, matlab always reminds me that the matrix is singular in the accuracy of the calculation. I try to redefine the initial value of additive process noise for optimal tuning, but I habe no idea how can I define these values like additive process noise for orientation and…
apnoise(stateinfo(filter, "Orientation")) = [0.02014531; 100; 7.0076611; 1.308652];
apnoise(stateinfo(filter, "AngularVelocity")) = [0.0007698; 100; 100];

thank you
Best regards
https://de.mathworks.com/help/driving/ug/ego-vehicle-localization-using-gps-and-imu-fusion-for-scenario-generation.html extended kalman filter, ego location MATLAB Answers — New Questions

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