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Docking at pool and sea by using active marker in turbid and day/night environment

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Abstract

Nowadays, autonomous underwater vehicle (AUV) is playing an important role in human society in different applications such as inspection of underwater structures (dams, bridges). It has been desired to develop AUVs that can work in a sea with a long period of time for the purpose of retrieving methane hydrate, or rare metal, and so on. To achieve such AUVs, the automatic recharging capability of AUVs under the sea is indispensable and it requires AUVs to dock itself to recharging station autonomously. Therefore, we have developed a stereo-vision-based docking methodology for underwater battery recharging to enable the AUV to continue operations without returning surface vehicle for recharging. Since underwater battery recharging units are supposed to be installed in a deep sea, the deep-sea docking experiments cannot avoid turbidity and low-light environment. In this study, the proposed system with a newly designed active—meaning self-lighting—3D marker has been developed to improve the visibility of the marker from an underwater vehicle, especially in turbid water. Experiments to verify the robustness of the proposed docking approach have been conducted in a simulated pool where the lighting conditions change from day to night. Furthermore, sea docking experiment has also been executed to verify the practicality of the active marker. The experimental results have confirmed the effectiveness of the proposed docking system against turbidity and illumination variation.

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Acknowledgements

The authors would like to thank Monbukagakusho; Mitsui Engineering and Shipbuilding Co., Ltd.; and Kowa Corporation for their collaboration and support for this study.

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Correspondence to Khin Nwe Lwin.

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This work was presented in part at the 23rd International Symposium on Artificial Life and Robotics, Beppu, Oita, January 18–20, 2018.

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Lwin, K.N., Mukada, N., Myint, M. et al. Docking at pool and sea by using active marker in turbid and day/night environment. Artif Life Robotics 23, 409–419 (2018). https://doi.org/10.1007/s10015-018-0442-1

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  • DOI: https://doi.org/10.1007/s10015-018-0442-1

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