Example Concept: Depth estimation in AR can be improved by using stereo vision, LiDAR sensors, and machine learning algorithms. Stereo vision uses two cameras to triangulate the distance of objects, while LiDAR provides precise depth data by measuring the time it takes for light to bounce back from surfaces. Machine learning models can further refine depth maps by learning from large datasets of real-world scenes, enhancing the AR system's ability to interpret complex environments accurately.