Accepted Papers


AI4RAILS 2020 received many quality submissions and therefore the selection was hard. Each submitted paper has been reviewed by (at least) 3 reviewers, from different institutions and nationalities. In line with the aim of AI4RAILS, reviewers from industries were also involved in the selection process, to evaluate the concrete applicability of proposals in real-world applications.


In the following, the list of accepted papers that will be presented during the workshop.


Safety and Security - Signal Recognition

  • Jean François Boulineau (RATP - Régie Autonome des Transports Parisiens)

Safe recognition A.I. of a railway signal by on-board camera


  • Tony Marteau (SNCF Voyageurs), Sitou Afanou (SNCF Voyageurs), David Sodoyer (IFSTTAR), Sebastien Ambellouis (IFSTTAR), Fouzia Boukour (IFSTTAR)

Audio Events Detection in Noisy Embedded Railway Environments


Safety and Security - Obstacle Detection

  • Andrey Chernov (Rostov State Transport University), Maria Butakova (Rostov State Transport University), Alexander Guda(Rostov State Transport University), Petr Shevchuk (Rostov State Transport University)

Development of Intelligent Obstacle Detection System on Railway Tracks for Yard Locomotives using CNN


  • Danijela Ristić-Durrant (University of Bremen), Muhammad Abdul Haseeb (IKOS Consulting Deutschland GmbH), Marten Franke (University of Bremen), Milan Banić (University of Niš), Miloš Simonović (University of Niš), Dušan Stamenković (University of Niš)

Artificial intelligence for obstacle detection in railways: Project SMART and beyond


Asset Management and Maintenance

  • Riccardo Gasparini (Universita di Modena e Reggio Emilia), Stefano Pini (Universita di Modena e Reggio Emilia), Guido Borghi (Universita di Modena e Reggio Emilia), Giuseppe Scaglione (Rete Ferroviaria Italiana), Simone Calderara (Universita di Modena e Reggio Emilia), Eugenio Fedeli (Rete Ferroviaria Italiana), Rita Cucchiara (Universita di Modena e Reggio Emilia)

Anomaly Detection for Vision-based Railway Inspection


  • Roberto Nappi (SYENMAINT), Valerio Striano (SYENMAINT), Gianluca Cutrera (Rete Ferroviaria Italiana), Antonio Vigliotti (Rete Ferroviaria Italiana), Giuseppe Franzè (University of Calabria)

Rolling stocks: a machine learning predictive maintenance architecture


  • Julia Niebling (Deutsches Zentrum für Luft- und Raumfahrt), Benjamin Baasch (Deutsches Zentrum für Luft- und Raumfahrt), Anna Kruspe (Deutsches Zentrum für Luft- und Raumfahrt)

Analysis of Railway Track Irregularities with Convolutional Autoencoders and Clustering Algorithms


Logistics and Optimization

  • Roberto Marmo (University of Pavia)

UIC Code Recognition using Computer Vision and LSTM Networks


  • Wan-Jui Lee (Dutch Railways), Helia Jamshidi (TU Delft), Diederik M. Roijers (HU Univ. of Applied Sciences Utrecht)

Deep Reinforcement Learning for Solving Train Unit Shunting Problem with Interval Timing



Workshop Program

The workshop program is available here.