This project involved the development of an advanced indoor navigation system for a Micro Aerial Vehicle (MAV) utilizing dead reckoning-based monocular Visual Inertial Odometry (VIO). The system combines visual data from a single camera with inertial measurements to estimate the MAV's position and orientation accurately in real time. This approach enables precise navigation in GPS-denied environments, such as indoor spaces or confined areas, by leveraging sensor fusion and motion tracking algorithms. The project addresses challenges like drift reduction, obstacle avoidance, and real-time processing, paving the way for reliable and efficient MAV operations in complex indoor settings.
Accessibility Controls