Example Concept: Occlusion accuracy in AR is enhanced by using depth sensors, like LiDAR, to create detailed depth maps of the environment. These maps allow the AR system to understand the spatial relationships between virtual and real objects, enabling it to accurately render virtual objects as being behind real-world elements. Additionally, machine learning algorithms can be employed to improve scene understanding, helping the system to dynamically adjust occlusion based on the user's perspective and environmental changes.