Applying Deep Learning for cockpit segmentation in the context of mixed reality

A mixed-reality cockpit segmentation paper reports roughly 90% accuracy using U-Net and DeepLabV3+ on images from a CAT793F off-highway truck simulator. For teams building MR training or vehicle sims, the practical takeaway is that separating foreground cockpit elements from the real-world feed is getting reliable enough to support cleaner compositing. The work is still research-grade, but it points to a useful pipeline for first-person MR experiences.