Dependable Computing - EDCC 2020 Workshops: AI4RAILS, DREAMS, DSOGRI, SERENE 2020, Munich, Germany, September 7, 2020, Proceedings

@article{Barbosa2020DependableC,
  title={Dependable Computing - EDCC 2020 Workshops: AI4RAILS, DREAMS, DSOGRI, SERENE 2020, Munich, Germany, September 7, 2020, Proceedings},
  author={Simone Diniz Junqueira Barbosa and Phoebe Chen and Alfredo Cuzzocrea and Xiaoyong Du and Orhun Kara and Ting Liu and Krishna M. Sivalingam and Dominik Ślęzak and Takashi Washio and Xiaokang Yang and Junsong Yuan and Raquel Oliveira Prates and Simona Bernardi and Valeria Vittorini and Francesco Flammini and Roberto Nardone and Stefano Marrone and Rasmus Adler and Daniel Schneider and Philipp Schleiss and Nicola Nostro and Rasmus L{\o}venstein Olsen and Amleto Di Salle and Paolo Masci},
  journal={Dependable Computing - EDCC 2020 Workshops},
  year={2020}
}
Some railway solutions are the results of technology push. The development of low cost computers and camerasmakes it possible to automate detection tasks in different industry domains. In this article, we develop the blocking points that arise for the adoption of A.I. technologies for functions involving safety. We remind the useful elements for a safety demonstration, and for the definition of tests or simulations which bring complements to this validation. We propose a paradigm shift for the… 
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