Page 18 - Marine Research
P. 18

Integration of Passive Acoustic Monitoring System and


                                      Autonomous Surface Vehicle



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                You-Cheng Zhang   Hsiang-Hsuan Jan   Yen-Hsiang Huang   Ching-Tang Hung   Chi-Fang Chen
                                                                                                       2*
                     1  Master, Department of Engineering Science and Ocean Engineering National Taiwan University,
                    2  Professor, Department of Engineering Science and Ocean Engineering National Taiwan University
                                                    ABSTRACT


                          In the past, the measurement of underwater noise in the surrounding waters of
                     Taiwan and the passive acoustic monitoring of marine mammals were conducted
                     by the commissioning units in accordance with their business and financial
                     resources. Lack of long-term and extensive investigations, the acoustic database
                     and the complete system have not been  established, which has caused the
                     complexity of the use of related resources. Thus, we hope we can build a passive
                     acoustic monitoring network in the near future, measure and analyze the ocean
                     soundscape, and evaluate the information in the marine environment. It has the
                     necessity and positive benefits for marine conservation, and the results will serve
                     as the basis for the establishment of underwater noise and passive acoustic
                     monitoring networks in the surrounding waters of Taiwan. This article provides a
                     process for checking if there are dolphin in the specific area and using unmanned
           載具整 合之研 究 水面無人 聲學監 被動水下 慧型 測與智  surface vehicle to track the source and find the area they are. This process has 4
                     main parts, including real-time dolphin whistle  detection, real-time shore side
                     monitoring system, underwater acoustic source localization and the behavior of the
                     surface vehicle.






















                     Keywords:  Passive acoustic monitoring, unmanned surface  vehicle,  real-time
                                 whistle detector, MOOS-IvP

                   * Corresponding author, E mail: chifang@ntu.edu.tw








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