Fusing GPS, IMU and Encoder sensors for accurate state estimation.
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Updated
Oct 6, 2019 - C
Fusing GPS, IMU and Encoder sensors for accurate state estimation.
C Library for INS-GPS Extended-Kalman-Filter (Error State Version)
Qt/C GUI to Visualize Kitti Dataset GPS IMU data on OpenStreetMap using EKF
Implementation of an EKF to predict states of a 6 DOF drone using GPS-INS fusion. Also ass3_q2 and ass_q3_kf show the difference between state estimation without KF and with KF
NaveGo: an open-source MATLAB/GNU Octave toolbox for processing integrated navigation systems and performing inertial sensors analysis.
My bachelor thesis project: Kalman filtering in INS & GPS navigation
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