The following research papers have been published in the context of the ROBORDER project.

  1. Orfanidis, G., Ioannidis, K., Avgerinakis, K., Vrochidis, S., & Kompatsiaris, I. (2018, October). A Deep Neural Network for Oil Spill Semantic Segmentation in Sar Images. In 2018 25th IEEE International Conference on Image Processing (ICIP)(pp. 3773-3777). IEEE.
  2. Krestenitis, G.Orfanidis, K.Ioannidis, K.Avgerinakis, S.Vrochidis, I.Kompatsiaris, “Early Identification of Oil Spills in Satellite Images Using Deep CNNs”, International Conference on MultiMedia Modeling, January 2019, Thessaloniki, Greece (accepted for publication).
  3. Giannakeris, P., Kaltsa, V., Avgerinakis, K., Briassouli, A., Vrochidis, S., & Kompatsiaris, I. (2018). Speed estimation and abnormality detection from surveillance cameras. In CVPR Workshop (CVPRW) on the AI City Challenge.
  4. Kapoutsis, A. C., Malliou, C. M., Chatzichristofis, S. A., & Kosmatopoulos, E. B. (2017, October). Continuously informed heuristic A∗-optimal path retrieval inside an unknown environment. In Safety, Security and Rescue Robotics (SSRR), 2017 IEEE International Symposium on(pp. 216-222). IEEE.
  5. Loukas, G., Karapistoli, E., Panaousis, E., Sarigiannidis, P., Bezemskij, A., & Vuong, T. (2018). A taxonomy and survey of cyber-physical intrusion detection approaches for vehicles. Ad Hoc Networks.