Python implementation of the Interacting Multiple Models Probabalistic data association filter (IMM-PDA). Tracking targets from noisy RADAR data. This filter deals with multiple motion models in the Extended Kalman filter (EKF). Tuned and tested on simulated and real datasets.
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ekf : transpose(v), pda : add return statement, fix NEES calculations in run_pda
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