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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/37230

Title: Can underwater environment simulation contribute to vision tasks for autonomous systems?
Authors: Wang, Jiangtao
Zhou, Yang
Li, Baihua
Meng, Qinggang
Rocco, Emanuele
Saiani, Andrea
Issue Date: 2019
Citation: WANG, J. .... et al., 2019. Can underwater environment simulation contribute to vision tasks for autonomous systems? Presented at the 2nd UK Robotics and Autonomous Systems Conference, (UK-RAS 2019), Loughborough University, 24th January.
Abstract: To 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.
Description: This is a conference paper
Version: Published
URI: https://dspace.lboro.ac.uk/2134/37230
Publisher Link: https://www.ukras.org/wp-content/uploads/2019/03/UKRAS19-Proceedings-Final.pdf
Appears in Collections:Conference Papers and Presentations (Computer Science)

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