Applying the stereo-vision detection technique to the development of underwater inspection task with PSO-based dynamic routing algorithm for autonomous underwater vehicles

This research is an extension of image detection technique for obstacle-avoidance of autonomous underwater vehicles (AUVs) by applying the BK triangle sub-product of fuzzy relations. According to the concept of stereo-vision detection technique, the obstacles as well as offshore structures can be re...

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Published in:	Ocean engineering Vol. 139; pp. 127 - 139
Main Authors:	Lin, Yu-Hsien, Wang, Shun-Ming, Huang, Lin-Chin, Fang, Ming-Chung
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 15.07.2017
Subjects:	AUV Dynamic routing algorithm Fuzzy control PSO Stereo vision Underwater inspection Underwater inspection Fuzzy control AUV Dynamic routing algorithm Stereo vision PSO
ISSN:	0029-8018, 1873-5258
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Abstract	This research is an extension of image detection technique for obstacle-avoidance of autonomous underwater vehicles (AUVs) by applying the BK triangle sub-product of fuzzy relations. According to the concept of stereo-vision detection technique, the obstacles as well as offshore structures can be reconstructed by depth images. By obtaining the depth information in the space, the optimal route can be evaluated combining PSO (Particle Swarm Optimization)-based dynamic routing algorithm. In this study, the graphical language, LabVIEW (Laboratory Virtual Instrument Engineering Workbench), is used to simulate the AUV's inspection task in the offshore wind farm. The interface shows the pose, trajectories, perspectives and real-time series of 6-Degrees of Freedom (DOF) motion for the AUV. In the existence of obstacles, the AUV is found to conduct inspection tasks of the offshore wind farm with feasible routes by considering minimum time and energy consumption successfully. In summary, the stereo-vision detection technique with PSO-based dynamic routing algorithm is not only beneficial to optimize feasible routes but also identify features of objects for the purpose tracking and obstacle-avoidance more efficiently. •The image detection technique with PSO-based dynamic routing algorithm has been developed•The relationship of the two Pareto-optimal sets is non-dominant under different velocity conditions•Each solution of the minimum time route takes less time than that of the minimum energy consumption routes•Each energy optimization solution expends a lower amount of energy than the time optimization solutions•The difference of these two sets is high under low-velocity conditions
AbstractList	This research is an extension of image detection technique for obstacle-avoidance of autonomous underwater vehicles (AUVs) by applying the BK triangle sub-product of fuzzy relations. According to the concept of stereo-vision detection technique, the obstacles as well as offshore structures can be reconstructed by depth images. By obtaining the depth information in the space, the optimal route can be evaluated combining PSO (Particle Swarm Optimization)-based dynamic routing algorithm. In this study, the graphical language, LabVIEW (Laboratory Virtual Instrument Engineering Workbench), is used to simulate the AUV's inspection task in the offshore wind farm. The interface shows the pose, trajectories, perspectives and real-time series of 6-Degrees of Freedom (DOF) motion for the AUV. In the existence of obstacles, the AUV is found to conduct inspection tasks of the offshore wind farm with feasible routes by considering minimum time and energy consumption successfully. In summary, the stereo-vision detection technique with PSO-based dynamic routing algorithm is not only beneficial to optimize feasible routes but also identify features of objects for the purpose tracking and obstacle-avoidance more efficiently. •The image detection technique with PSO-based dynamic routing algorithm has been developed•The relationship of the two Pareto-optimal sets is non-dominant under different velocity conditions•Each solution of the minimum time route takes less time than that of the minimum energy consumption routes•Each energy optimization solution expends a lower amount of energy than the time optimization solutions•The difference of these two sets is high under low-velocity conditions
Author	Wang, Shun-Ming Huang, Lin-Chin Lin, Yu-Hsien Fang, Ming-Chung
Author_xml	– sequence: 1 givenname: Yu-Hsien surname: Lin fullname: Lin, Yu-Hsien email: vyhlin@mail.ncku.edu.tw organization: Dept. of Systems & Naval Mechatronic Eng., National Cheng-Kung University, Tainan City 70101, Taiwan – sequence: 2 givenname: Shun-Ming surname: Wang fullname: Wang, Shun-Ming organization: Dept. of Systems & Naval Mechatronic Eng., National Cheng-Kung University, Tainan City 70101, Taiwan – sequence: 3 givenname: Lin-Chin surname: Huang fullname: Huang, Lin-Chin organization: Dept. of Systems & Naval Mechatronic Eng., National Cheng-Kung University, Tainan City 70101, Taiwan – sequence: 4 givenname: Ming-Chung surname: Fang fullname: Fang, Ming-Chung organization: Dept. of Systems & Naval Mechatronic Eng., National Cheng-Kung University, Tainan City 70101, Taiwan
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SubjectTerms	AUV Dynamic routing algorithm Fuzzy control PSO Stereo vision Underwater inspection
Title	Applying the stereo-vision detection technique to the development of underwater inspection task with PSO-based dynamic routing algorithm for autonomous underwater vehicles
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