In-situ sea ice detection using DeepLabv3 semantic segmentation

N Balasooriya, B Dowden, J Chen… - OCEANS 2021: San …, 2021 - ieeexplore.ieee.org
Identifying type and concentration of sea-ice is a crucial activity performed to assess
navigational risk in arctic waters and support daily ice charting activities of the Canadian Ice …

Sea ice detection network for icebreakers in polar environments with attention-based deeplabv3+ architecture

S Li, M Wang, J Wu, S Sun, M Shi… - Journal of Physics …, 2024 - iopscience.iop.org
Shipborne sea ice detection aboard icebreakers plays a paramount role in polar navigation.
The continuous evolution of deep learning semantic segmentation networks has promoted …

Development of deep learning modules for autonomous navigation in marine and aerial robotic applications

NM Balasooriya - 2023 - research.library.mun.ca
This thesis develops two studies on deep learning-based autonomous navigation systems
for marine and aerial field robotic applications. The first study involves developing a sea ice …

Ice Sensing Technologies with Applications in Augmented Situational Awareness

M Garvin - International Journal of Maritime Engineering, 2022 - intmaritimeengineering.org
This paper contains a literature review of technologies employed in the scientific literature to
provide data on ice severity to augment situational awareness of human operators (aboard a …

[PDF][PDF] REVIEW OF TECHNOLOGIES FOR REAL-TIME SHIPBOARD ICE SEVERITY SENSING

M Garvin - 2020 - researchgate.net
This paper contains a review of technologies employed in the literature to provide data on
ice conditions that a ship may encounter in seconds to minutes. Masters use a variety of …