Visual-based deep sea docking simulation of underwater vehicle using dual-eyes cameras with lighting adaptation

Myo Myint, Kenta Yonemori, Akira Yanou, Khin Nwe Lwin, Mamoru Minami, Shintaro Ishiyama

Research output: Chapter in Book/Report/Conference proceedingConference contribution

13 Citations (Scopus)

Abstract

This paper proposes visual-based underwater vehicle docking/homing system under the environment especially simulated for deep sea trial. Instead of measuring absolute position of vehicle using other non-contact sensors, estimation of the robot's relative position and posture (pose) using dual-eyes cameras and 3D target object is proposed. For relative pose estimation, 3D model-based recognition approach is applied because of its real-time effective performance. According to effectiveness, simplicity and repeatable evaluation ability for real-time performance, Genetic Algorithm (GA) is utilized here as a modified form of " Multi-step GA" to evaluate the gene candidates that represent relative poses until getting the best gene with the most trustful pose in dynamic images input by videorate. P controller is used to control the vehicle for the desired pose using real-time images from dual-eyes cameras. Since the underwater environment is complex, this work also addresses to the experiment for deep sea docking operation under changeable lighting environment derived from pose fluctuation of underwater vehicle with two LED-lighting direction altered accordingly that offers huge challenges for visual servoing. As the main contribution for this paper, therefore, we have developed visual servoing using adaptive system for unknown lighting environment. Remotely Operated Vehicle (ROV) is used as a test bed and the experiments are conducted in simulated indoor pool. Experimental results show visual servoing performance under varying lighting conditions and docking performance using proposed system.

Original languageEnglish
Title of host publicationOCEANS 2016 - Shanghai
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467397247
DOIs
Publication statusPublished - Jun 3 2016
EventOCEANS 2016 - Shanghai - Shanghai, China
Duration: Apr 10 2016Apr 13 2016

Other

OtherOCEANS 2016 - Shanghai
CountryChina
CityShanghai
Period4/10/164/13/16

Fingerprint

underwater vehicle
posture
Visual servoing
deep sea
Lighting
Cameras
simulation
Genes
genetic algorithm
Genetic algorithms
Remotely operated vehicles
Adaptive systems
underwater environment
remotely operated vehicle
gene
Light emitting diodes
Experiments
Robots
Controllers
experiment

ASJC Scopus subject areas

  • Oceanography
  • Automotive Engineering

Cite this

Myint, M., Yonemori, K., Yanou, A., Lwin, K. N., Minami, M., & Ishiyama, S. (2016). Visual-based deep sea docking simulation of underwater vehicle using dual-eyes cameras with lighting adaptation. In OCEANS 2016 - Shanghai [7485423] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/OCEANSAP.2016.7485423

Visual-based deep sea docking simulation of underwater vehicle using dual-eyes cameras with lighting adaptation. / Myint, Myo; Yonemori, Kenta; Yanou, Akira; Lwin, Khin Nwe; Minami, Mamoru; Ishiyama, Shintaro.

OCEANS 2016 - Shanghai. Institute of Electrical and Electronics Engineers Inc., 2016. 7485423.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Myint, M, Yonemori, K, Yanou, A, Lwin, KN, Minami, M & Ishiyama, S 2016, Visual-based deep sea docking simulation of underwater vehicle using dual-eyes cameras with lighting adaptation. in OCEANS 2016 - Shanghai., 7485423, Institute of Electrical and Electronics Engineers Inc., OCEANS 2016 - Shanghai, Shanghai, China, 4/10/16. https://doi.org/10.1109/OCEANSAP.2016.7485423
Myint M, Yonemori K, Yanou A, Lwin KN, Minami M, Ishiyama S. Visual-based deep sea docking simulation of underwater vehicle using dual-eyes cameras with lighting adaptation. In OCEANS 2016 - Shanghai. Institute of Electrical and Electronics Engineers Inc. 2016. 7485423 https://doi.org/10.1109/OCEANSAP.2016.7485423
Myint, Myo ; Yonemori, Kenta ; Yanou, Akira ; Lwin, Khin Nwe ; Minami, Mamoru ; Ishiyama, Shintaro. / Visual-based deep sea docking simulation of underwater vehicle using dual-eyes cameras with lighting adaptation. OCEANS 2016 - Shanghai. Institute of Electrical and Electronics Engineers Inc., 2016.
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