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Autonomous ships, like autonomous cars, can guide themselves without human conduction. AI and the future of computers taking over the art of driving is now our reality. The autonomous ship is a vessel that can operate fully on its own, without a crew, and is equipped with software to manage its movements. The interest in this field is growing rapidly with conferences dedicated to this specific technology. Forbes has stated that autonomous ships increase efficiency, improve safety, and relieve humans from unsafe and repetitive tasks.
Key Features:
- A sound understanding of AI technology in autonomous ships: its history, development and potential.
- Overviews of the basic knowledge in autonomous ships for related students, scientists and general public.
- The ability to identify the changes of various aspects due to autonomous ships.
- Realize the implications and possibilities of autonomous technology application in Marine industry.
Hsin-Hung Cheng received both B.S. degree in Marine Engineering in 2002 and M.S. degree in Mechanical and Mechatronic Engineering from National Taiwan Ocean University, Taiwan, in 2005, where he studied micro-electro-mechanical systems (MEMS), maritime engineering and the optics field. In 2007, he assisted the Research Laboratories of DustBuster in the Institute of Earth Sciences at Academia Sinica, Taiwan, which involved TOF-SIMS mass spectrometer manufacturing for astronomy research. He received his Ph.D. degree in the Department of Engineering Science and Ocean Engineering at National Taiwan University, Taiwan, in 2013.
His research focuses on biosensor applications of various spectroscopic, nano-micro-electro-mechanical systems (NEMS/MEMS) fabrication techniques including plasmonic, SERS, solar energy, and near-field optics. From 2013 to 2016, he was Assistant Professor in Department of Marine Engineering of Taipei College of Maritime Technology. In 2016, he passed the National Senior and Junior Examination in Marine Engineering. He has joined the faculty of Ministry of Transportation and Communication(MOTC), Taiwan, starting as an Associate Technician Specialist in Maritime and Port Bureau. In 2018, he has started as an Assistant/Associate Researcher in Institute of Transportation, MOTC. His work and research focuses on maritime policy and management, maritime safety including marine engineering and unmanned ship engineering.
Preface
Author biography
1 Introduction
1.1 The history of ships
1.2 Review of the development of ships
1.2.1 Raft ships
1.2.2 Sailing ships
1.2.3 Steamships
1.2.4 Internal combustion engine (ICE) ship
1.3 Future trends
References 1-7
2 Background of artificial intelligence (AI)
2.1 Review of AI
2.2 The fundamentals and implication areas of AI
2.3 The change of maritime in AI
2.4 Future trends
References
3 Evolution of maritime autonomous surface ships
3.1 Definitions of MASS
3.2 The development of autonomy in the world
3.3 Change of MASS systems
3.4 Elements of autonomous technologies
3.5 Technical and operational constraints 3.5.1 LiDAR
3.5.2 GPS/IMU
3.5.3 Computer vision-aided systems
3.6 Future trends
References
4 Impact, development and potential for MASS
4.1 Crew careers status
4.2 Maritime industry shocks
4.2.1 The ship’s characteristics design
4.2.2 System equipment
4.2.3 Construction and assembly
4.2.4 Ship’s verification
4.3 The influence of port transportation
4.3.1 Wireless call
4.3.2 The pilot service
4.3.3 The work of the tugboat
4.3.4 The mooring and unmooring works
4.3.5 The cargo handling
4.4 Safety and security in MASS
4.4.1 Sensing equipment safety
4.4.2 Driving system safety
4.4.3 Control loop safety
4.4.4 Internet of Vessels safety
4.5 Legal implications of MASS
4.6 The post-COVID-19 pandemic era
4.7 Future trends
References
5 Concerns and challenges
5.1 Technological environment
5.2 Social responsibility
References
6 Conclusion and future trends