Adaptive navigation of a high speed autonomous underwater vehicle using low cost sensors for low-altitude survey

2017 ◽  
Author(s):  
Yukiyasu Noguchi ◽  
Yoshinori Kuranaga ◽  
Toshihiro Maki
Keyword(s):  
High Speed ◽  
Autonomous Underwater Vehicle ◽  
Low Cost ◽  
Underwater Vehicle ◽  
Low Altitude

A low cost autonomous underwater vehicle for patrolling and monitoring

2016 ◽  
Vol 231 (3) ◽  
pp. 740-749 ◽  
Author(s):  
Benedetto Allotta ◽  
Roberto Conti ◽  
Riccardo Costanzi ◽  
Francesco Fanelli ◽  
Jonathan Gelli ◽  
...  
Keyword(s):  
Autonomous Underwater Vehicle ◽  
Low Cost ◽  
Underwater Vehicle

Fòlaga: A low-cost autonomous underwater vehicle combining glider and AUV capabilities

2009 ◽  
Vol 36 (1) ◽  
pp. 24-38 ◽  
Author(s):  
A. Alvarez ◽  
A. Caffaz ◽  
A. Caiti ◽  
G. Casalino ◽  
L. Gualdesi ◽  
...  
Keyword(s):  
Autonomous Underwater Vehicle ◽  
Low Cost ◽  
Underwater Vehicle

Design of Novel Shaftless Pump-Jet Propulsor for Multi-Purpose Long-Range and High-Speed Autonomous Underwater Vehicle

2016 ◽  
Vol 52 (7) ◽  
pp. 1-4 ◽  
Author(s):  
Yang Shen ◽  
Pengfei Hu ◽  
Shuanbao Jin ◽  
Yingsan Wei ◽  
Rensheng Lan ◽  
...  
Keyword(s):  
Long Range ◽  
High Speed ◽  
Autonomous Underwater Vehicle ◽  
Underwater Vehicle

Vision System for an Autonomous Underwater Vehicle with a Benthos Sampling Function

2018 ◽  
Vol 30 (2) ◽  
pp. 248-256 ◽  
Author(s):  
Shinsuke Yasukawa ◽  
Jonghyun Ahn ◽  
Yuya Nishida ◽  
Takashi Sonoda ◽  
Kazuo Ishii ◽  
...  
Keyword(s):  
High Speed ◽  
Autonomous Underwater Vehicle ◽  
Vision System ◽  
Image Acquisition ◽  
Underwater Vehicle ◽  
Sampling Function ◽  
Software Modules ◽  
Preparation Mode ◽  
Time Required ◽  
Mode Tm

We developed a vision system for an autonomous underwater robot with a benthos sampling function, specifically sampling-autonomous underwater vehicle (AUV). The sampling-AUV includes the following five modes: preparation mode (PM), observation mode (OM), return mode (RM), tracking mode (TM), and sampling mode (SM). To accomplish the mission objective, the proposed vision system comprises software modules for image acquisition, image enhancement, object detection, image selection, and object tracking. The camera in the proposed system acquires images in intervals of five seconds during OM and RM, and in intervals of one second during TM. The system completes all processing stages in the time required for image acquisition by employing high-speed algorithms. We verified the effective operation of the proposed system in a pool.

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