Applying Deep Learning for cockpit segmentation in the context of mixed reality
Researchers have developed a deep learning approach to segment cockpit images for mixed reality applications. The study applied U-net and DeepLabV3+ convolutional neural network architectures to identify foreground and background elements in images captured from an off-highway truck simulator. This segmentation aims to enhance user immersion by facilitating the seamless integration of virtual and real-world imagery, achieving approximately 90% accuracy. AI
IMPACT This research could improve immersion and realism in mixed reality simulations for training and entertainment.