mlsanityData to 7 Oct 2026

Efficient Non-Compression Auto-Encoder for Driving Noise-based Road Surface Anomaly Detection

arXiv 2111.10985 ↗First posted 22 Nov 2021cs.CV eess.IVcited by 3

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Abstract (arXiv)

Wet weather makes water film over the road and that film causes lower friction between tire and road surface. When a vehicle passes the low-friction road, the accident can occur up to 35% higher frequency than a normal condition road. In order to prevent accidents as above, identifying the road condition in real-time is essential. Thus, we propose a convolutional auto-encoder-based anomaly detection model for taking both less computational resources and achieving higher anomaly detection performance. The proposed model adopts a non-compression method rather than a conventional bottleneck structured auto-encoder. 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%. Thus, we conclude the proposed model as a cutting-edge algorithm for real-time anomaly detection.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 17 of its 56 references that are in the map. First posted on arXiv 22 Nov 2021.

Builds on

17 of 56 references.

References · 17

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5 more
  1. 2016A Gentle Tutorial of Recurrent Neural Network with Error Backpropagationcited by 12
  2. 2019adVAE: A self-adversarial variational autoencoder with Gaussian anomaly prior knowledge for anomaly detectioncited by 11
  3. 2019Anomaly Detection in Particulate Matter Sensor using Hypothesis Pruning Generative Adversarial Networkcited by 9
  4. 2015Detecting Road Surface Wetness from Audio: A Deep Learning Approachcited by 3
  5. 2021Non-Compression Auto-Encoder for Detecting Road Surface Abnormality via Vehicle Driving Noisecited by 2

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Cited by year

Citing papers per year: 2022: 2; 2023: 1.

3 papers.

  1. 2022VAE-iForest: Auto-encoding Reconstruction and Isolation-based Anomalies Detecting Fallen Objects on Road Surfacecited by 1
  2. 2022Frequency of Interest-based Noise Attenuation Method to Improve Anomaly Detection Performancecited by 1
  3. 2023Edge Storage Management Recipe with Zero-Shot Data Compression for Road Anomaly Detectioncited by 0