Evaluation of visual image for remotely controlled ship
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ORIGINAL ARTICLE
Evaluation of visual image for remotely controlled ship Ai Hoshino1 · Ayako Umeda1 · Takumi Nishina1 · Hidemasa Kimura1 · Katsuya Hakozaki1 · Tsuyoshi Ode1 · Etsuro Shimizu1 Received: 24 April 2019 / Accepted: 27 December 2019 © International Society of Artificial Life and Robotics (ISAROB) 2020, corrected publication 2020
Abstract In recent years, automation technology for navigation support is widely accepted not only in the automotive industry but also in the maritime industry. Particularly, the research related to autonomous and remotely controlled ships has become the major topic in the maritime field. At Tokyo University of Marine Science and Technology (TUMSAT), the research for the operation of remotely controlled ships has been started since 2015. In this paper, we report the results of experiments on the image evaluation method required for the remote-control system using wireless communication. The remote-control system is required to install sensors that replace merchant marines’ visual, hearing and other means in manned ship. The camera image is a substitutable method for the merchant marines’ vision and is thought to be one of the most necessary information for the operator of the land station who carries out remote ship maneuvering. Keywords Remotely controlled ship · Battery-powered boat · Wi-Fi · Bit rate · Image resolution
1 Introduction Contrary to the increase in transportation volume in recent years on a global scale, the merchant marines’ shortage and the price competition are serious situation. Therefore, the research related to autonomous ships has become the major topic in the maritime field for the purpose of making up for merchant marines’ shortage by improving working environment and reducing the cost by reducing personnel expenses. According to the report by the Japan Coast Guard, approximately 74% of maritime accidents in the past 5 years are attributed to human factors [1]. Figure 1 shows the sorting of the cause of marine accident in the coastal area of Japan in 2017. It is expected that the realization of autonomous navigation will contribute to the reduction of such maritime accidents. Studies related to the realization of autonomous navigation are progressing in the world as well. Maritime This work was presented in part at the 24th International Symposium on Artificial Life and Robotics, Beppu, Oita, January 23–25, 2019. * Ai Hoshino [email protected] 1
Tokyo University of Marine Science and Technology, Tokyo, Japan
Unmanned Navigation through Intelligence in Networks (The MUNIN) project was held for technical, economic and legal review of ships controlled by a system that combines autonomous operation and remote ship maneuvering from land between 2012 and 2015. According to the final report of the project, it was evaluated that the unmanned ship is one order of magnitude lower both sinking risk and collision risk than manned ship [2]. Advanced autonomous waterborne applications initiative (AAWA) project from 2015 to 2016 by Rolls-Royce Holdings
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