Published October 29, 2018 | Version v1
Conference paper Open

Deep Learning models for passability detection of flooded roads

  • 1. AnsuR Technologies
  • 2. Istituto Superiore Mario Boella and Politecnico di Torino
  • 3. Politecnico di Torino


In this paper we study and compare several approaches to detect floods and evidence for passability of roads by conventional means in Twitter.We focus on tweets containing both visual information (a picture shared by the user) and metadata, a combination of text and related extra information intrinsic to the Twitter API. This work has been done in the context of the MediaEval 2018 Multimedia Satellite Task.



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I-REACT – Improving Resilience to Emergencies through Advanced Cyber Technologies 700256
European Commission