Dr Alexandre Cardaillac
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Dr Alexandre Cardaillac

Postdoctoral Research Associate
Dr Alexandre Cardaillac

Alexandre Cardaillac is a Postdoctoral Research Associate in Underwater Computational Imaging at the University of Sydney. He is part of the ARIAM Research Hub and the Marine Robotics Group. His main area of research interest is in the areas of underwater computational imaging using acoustic and optical data. His interests also include scene understanding and situation awareness for underwater robotic systems with the aim the develop further the autonomy and safety of such vehicles.

Alexandre received a Bachelor of Information Technology from the Nantes School of Digital Innovation in 2019 and his M.Sc. degree in artificial intelligence with speech and multimodal interaction from the Heriot-Watt University in 2020 and received the award of the best M.Sc. dissertation for his work on uncertainty estimation in deep neural networks. He completed his Ph.D. degree in engineering with the Department of Marine Technology at the Norwegian University of Science and Technology, as part of the Applied Underwater Robotics Laboratory.

Robotics
Project titleResearch student
Underwater Situational AwarenessRiley BEHLEVANAS
Enhancing Robotic Vision Through Engineered Motion BlurBina Rajan RAJAN

Publications

Journals

  • Cardaillac, A., Ludvigsen, M. (2023). Camera-Sonar Combination for Improved Underwater Localization and Mapping. IEEE Access, 11, 123070-123079. [More Information]
  • Waszak, M., Cardaillac, A., Elvesaeter, B., Rodolen, F., Ludvigsen, M. (2023). Semantic Segmentation in Underwater Ship Inspections: Benchmark and Data Set. IEEE Journal of Oceanic Engineering, 48(2), 462-473. [More Information]

2023

  • Cardaillac, A., Ludvigsen, M. (2023). Camera-Sonar Combination for Improved Underwater Localization and Mapping. IEEE Access, 11, 123070-123079. [More Information]
  • Waszak, M., Cardaillac, A., Elvesaeter, B., Rodolen, F., Ludvigsen, M. (2023). Semantic Segmentation in Underwater Ship Inspections: Benchmark and Data Set. IEEE Journal of Oceanic Engineering, 48(2), 462-473. [More Information]