Rok 2025

• Vehicle Type Recognition Based on Audio Data

  Publikacja

  • D. Kobiela
  • M. Hajdasz
  • M. Erezman
  • K. Nurzyńska
  • S. Zaporowski
  • A. Kurowski
  • P. Weichbroth

  - Rok 2025

  Identifying different vehicle types can help manage traffic more efficiently, reduce congestion, and improve public safety. This study aims to create a classification model that can recognize vehicle types based on the sound of passing vehicles. To achieve this, a database of raw audio files containing 1763 samples from two sources was assembled. The time-domain signals were converted to a time-frequency representation using the...

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Rok 2024

• Vehicle type recognition: a case study of MobileNetV2 for an image Classification task

  Publikacja

  • D. Kobiela
  • J. Groth
  • M. Hajdasz
  • M. Erezman

  - Procedia Computer Science - Rok 2024

  The goal of the research was to demonstrate the full data science lifecycle through a use case of the MobileNetv2 model for vehicle image Classification task using various validation and test sets, each with different difficulty level. Diverse model variations were employed, each designed to recognize images of ground vehicles and classify them into one of five possible classes: car, truck, motorcycle, bicycle, or bus. In terms...

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