
Extended Kalman Filter - IMU/GNSS Fusion
Implemented Extended Kalman Filter for sensor fusion, combining IMU and GNSS data for accurate vehicle position estimation.
Sep 2024 — Dec 2024
completed
Kalman FilterSensor FusionMATLABIMUGNSSState Estimation
Overview
Course project for Autonomy for Mobile Robots (ELEC 484) implementing Extended Kalman Filter for sensor fusion.
Part 1: Trajectory Extraction
- Extracted vehicle trajectory from raw IMU/INS data
- Computed motion parameters and path reconstruction
Part 2: EKF Implementation
- Implemented Extended Kalman Filter from scratch
- Fused IMU and GNSS measurements
- Achieved accurate real-time position estimation
- Handled sensor noise and uncertainty propagation