GPS_IMU_Kalman_Filter icon indicating copy to clipboard operation
GPS_IMU_Kalman_Filter copied to clipboard

Fusing GPS, IMU and Encoder sensors for accurate state estimation.

Results 9 GPS_IMU_Kalman_Filter issues
Sort by recently updated
recently updated
newest added

where is the calculate_jacobian function ?

I runned the filter with several data sets and find out that the GPS state is totaly out of state. The acceleration and velocity are correct but not the GPS...

In calculate_jacobian function, r13 should be turn_radius * ( cos(dt*psi_dot + psi) - cos(psi) ).

I'm glad to see your sharing. After I wrote the main function call myself, when I ran with the dataset, I found that the result was totally wrong (compared with...

Dear Karanchawla, thank you for sharing useful code. Currently, I am looking to fuse the GPS and IMU data for localization self-driving cars. Your fusion approach looks useful for my...

Hello,how can I compile this project and use it on my computer?

I would have expected the read_imu_data and the read_gps_data functions to be called in the loop . May be in the function loop in run_fusion.cpp but I dont see it...

As a function is written as: void GpsIns::loop() { //m.lock(); std::lock_guard lock(m); set_data(); filter->process(*_sensor_data); _prev_gps_counter = _gpscounter; //m.unlock(); } The function above is being introduced as "Main loop for the...

do you know public dataset that can prove my algorithm works