A 3D CNN-BiLSTM model detects railway intruders and estimates their motion from simulated 6G channel state information, achieving 99.57% accuracy and a combined MAE of 0.4240 on synthetic test data.
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A 6G Integrated Sensing and Communication Framework for Railway Intrusion Detection and Collision Prediction
A 3D CNN-BiLSTM model detects railway intruders and estimates their motion from simulated 6G channel state information, achieving 99.57% accuracy and a combined MAE of 0.4240 on synthetic test data.