Explain the role of sensor fusion in improving the accuracy and robustness of UAV state estimation.

Sensor fusion is the process of combining data from multiple sensors to provide a more accurate and reliable estimate of a system's state than could be achieved by using any single sensor alone. In UAVs, sensor fusion plays a critical role in improving the accuracy and robustness of state estimation, which is the process of determining the UAV's position, velocity, and orientation. The key advantage is improved accuracy. By combining data from multiple sensors, sensor fusion algorithms can reduce the impact of sensor noise and errors, resulting in a more accurate estimate of the UAV's state. For example, a Kalman filter can combine data from a GPS receiver, an IMU (Inertial Measurement Unit), and a barometer to estimate the U....