Example Concept: Sensor fusion improves navigation accuracy by leveraging complementary data from different sensors. For instance, LIDAR provides precise distance measurements, while cameras offer rich visual context. IMUs can track orientation and acceleration, and GPS gives global position data. By fusing these inputs, algorithms like the Kalman Filter or Particle Filter can reduce noise and uncertainty, resulting in a more accurate and robust navigation solution.