UK-RAS-2019 -Jiangtao.pdf (2.5 MB)
Download fileCan underwater environment simulation contribute to vision tasks for autonomous systems?
conference contribution
posted on 2019-03-18, 14:56 authored by Jiangtao Wang, Yang Zhou, Baihua LiBaihua Li, Qinggang MengQinggang Meng, Emanuele Rocco, Andrea SaianiTo simulate the underwater environment and test
algorithms for autonomous underwater vehicles, we developed
an underwater simulation environment with the Unreal Engine 4
to generate underwater visual data such as seagrass and
landscape. We then used such data from the Unreal environment
to train and verify an underwater image segmentation model,
which is an important technology to later achieve visual based
navigation. The simulation environment shows the potentials for
dataset generalization and testing robot vision algorithms.
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