Stefano Pini

Stefano Pini

ML Engineer @ Wayve
Previously: Researcher @ Woven by Toyota, PhD @ AImageLab

Anomaly Detection for Vision-Based Railway Inspection

Riccardo Gasparini, Stefano Pini, Guido Borghi, Giuseppe Scaglione, Simone Calderara, Eugenio Fedeli, Rita Cucchiara
In European Dependable Computing Conference (EDCC) Workshops, 2020
DOI: 10.1007/978-3-030-58462-7_5
Link: Paper

Abstract

The automatic inspection of railways for the detection of obstacles is a fundamental activity in order to guarantee the safety of the train transport. Therefore, in this paper, we propose a vision-based framework that is able to detect obstacles during the night, when the train circulation is usually suspended, using RGB or thermal images. Acquisition cameras and external light sources are placed in the frontal part of a rail drone and a new dataset is collected. Experiments show the accuracy of the proposed approach and its suitability, in terms of computational load, to be implemented on a self-powered drone.

@inproceedings{gasparini2020anomaly,
  title={Anomaly Detection for Vision-Based Railway Inspection},
  author={Gasparini, Riccardo and Pini, Stefano and Borghi, Guido and Scaglione, Giuseppe and Calderara, Simone and Fedeli, Eugenio and Cucchiara, Rita},
  booktitle={European Dependable Computing Conference},
  pages={56--67},
  year={2020},
  organization={Springer}
}