Embedded Files
Developed a sensor-fusion-based IMU estimator to enhance UAV orientation accuracy in real-time embedded systems.
Developed a sensor-fusion-based IMU estimator to enhance UAV orientation accuracy in real-time embedded systems.
Tools & Methods:
Tools & Methods:
MATLAB • C Programming • Sensor Fusion • Complementary Filter • Embedded Systems • Guidance, Navigation, and Control (GNC)
MATLAB - Simulation Figure
MATLAB - Simulation Figure
Objective:
Objective:
Improve UAV orientation accuracy through sensor noise and environmental variability.
Approach:
Approach:
Implemented a Complimentary filter-based sensor fusion algorithm in MATLAB and translated it into real-time embedded C code.
Results:
Results:
Achieved a 15% reduction in orientation error and validated performance in programming simulation.
Page updated
Google Sites
Report abuse