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Found 2 papers, 1 papers with code
Efficient Non-Compression Auto-Encoder for Driving Noise-based Road Surface Anomaly Detection
As a result, the computational cost of the neural network is reduced up to 1 over 25 compared to the conventional models and the anomaly detection performance is improved by up to 7. 72%.
Non-Compression Auto-Encoder for Detecting Road Surface Abnormality via Vehicle Driving Noise
We conclude that NCAE as a cutting-edge model for road surface anomaly detection with 4. 20\% higher AUROC and 2. 99 times faster decision than before.
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