A review of road surface anomaly detection and classification systems based on vibration-based techniques

HIGHLIGHTS

• who: Erick Axel Martinez-Ru00edos and colleagues from the Tecnologico de Monterrey, School of Engineering and Sciences, Mexico City, Mexico have published the research: A Review of Road Surface Anomaly Detection and Classification Systems Based on Vibration-Based Techniques, in the Journal: (JOURNAL)
• what: The aim of road surface anomaly detection and classification systems is to generate robust platforms that can provide information on the quality of the roads and warn of potential hazards . The results of this study reported an accuracy of 97.14% by employing a logistic regression and finding the optimal coefficients . . .
  

   

  

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