Example Concept: In dynamic AR environments, tracking accuracy can be improved by combining visual-inertial odometry with machine learning algorithms that predict motion patterns. This approach allows the system to better handle occlusions and rapid movements by using predictive models that adjust the tracking in real-time, ensuring a smoother and more stable AR experience.