MapViT: A Two-Stage ViT-Based Framework for Real-Time Radio Quality Map Prediction in Dynamic Environments

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• MapViT enables effective downstream predictions even with limited labeled data.result 80%
• MapViT achieves real-time prediction of radio quality maps in dynamic environments.result 90%
• The ViT-based implementation achieves a strong balance between accuracy and computational efficiency.result 85%
• MapViT's self-supervised pre-training improves data efficiency and transferability for downstream predictions.method 80%
• MapViT is suitable for energy- and resource-constrained platforms such as mobile robots.technical 75%
• MapViT can replace traditional sensor-heavy radio quality mapping systems for dynamic environments.market 70%
• The framework requires high-quality sensors for accurate environmental data capture.limitation 85%
• MapViT lays the foundation for next-generation digital twin ecosystems.market 65%

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