1. Pre-Flight Calibration:

• Calibrate IMU, Lidar, ultrasonic, and optical flow sensors.
• Perform PID tuning to adapt to specific environmental conditions.

2. Sensor Data Integration:

• Fuse IMU and optical flow data for stable hovering and navigation.
• Use Lidar and ultrasonic sensors for obstacle detection and avoidance.

3. Autonomous Flight Execution:

• Rely on EKF for real-time position and orientation estimation.
• Dynamically adjust motor speeds using PID controllers for precise movements.

4. Post-Flight Analysis:

• Analyze flight logs to identify areas for calibration and tuning improvements.
• Evaluate sensor performance and algorithmic efficiency.