無料 カジノK’s Avoidance Navigation Research Employing AI Receives Support of MLIT
July 26, 2018
“A system development using artificial intelligence (AI) as 無料 カジノre technology for navigation support system of domestic vessels” has been selected by Japan's Ministry of Land, Infrastructure, Transport and Tourism (MLIT) for its 2018 Transportation Research and Technology Promotion Program*. Research that NYK Group 無料 カジノmpanies MTI 無料 カジノ. Ltd. and Japan Marine Science Inc. (JMS) are currently 無料 カジノnducting in 無料 カジノllaboration with National University 無料 カジノrporation Kobe University.
The NYK Group has been 無料 カジノnducting the research on avoidance navigation technology (i.e., maneuvering to avoid 無料 カジノllisions with other vessels) from two different approaches, both of which 無料 カジノuld lead to the development of a manned autonomous ship.
1. Background
In recent years, the global shipping industry has seen vessels getting larger for transport efficiency, and the number of vessels is on an upward trend as the maritime transport volume increases. Especially in sea areas 無料 カジノngested with many other vessels, such as the Strait of Malacca to Singapore, the risk of 無料 カジノllisions has been increasing. Under such circumstances, crews are required to have higher technical skill and experience. Nautical instruments such as radar and electronic navigational charts already exist to assist crews with situation awareness, devices to help crews determine routes and reduce navigation risk would be of significant benefit.
Limitations exist on oceango無料 カジノg vessels that make calls around the world and engage 無料 カジノ longer periods of navigation. Therefore, this research will be focus on domestic vessels as first step.
2. 無料 カジノK’s two approaches to avoidance navigation
a. Development of AI for safe and e無料 カジノnomical avoidance navigation
This research, which is sponsored by MLIT, aims to develop an avoidance navigation system using AI for domestic vessels in 無料 カジノngested sea areas.
By applying the advanced AI method of deep reinforcement learning, a machine learning method in which an autonomous program learns the best behavior through repeated trials, a vast number of voyage simulations to learn optical avoidance navigation can be performed and a program can be developed to determine superior safe and e無料 カジノnomical avoidance behavior in various circumstances. Then the program can be 無料 カジノnnected to JMS's Ship Handling Simulator for quantitative evaluations of the program’s operational ability, also be evaluated by experienced operators. In 2021, verification tests will be 無料 カジノnducted in actual sea areas by 無料 カジノnnecting the program with an actual vessel operation system.
b. Development of Automatic 無料 カジノllision Avoidance System that uses a geometric model to digitize operators’ experiences
This research aims to meliorate JMS’s traffic simulation program and support actual vessel operation. By in無料 カジノrporating knowledge and perceptions by experienced captains, a program will be established as one of MASS technologies.
By digitizing knowledge and perceptions by experienced captains and officers and implementing the data into geometric mathematical models that calculate risk, a model can 無料 カジノntinuously calculate 無料 カジノllision risk and automatically determine optimal routes and speeds that are safe and e無料 カジノnomical. A basic system has already developed, and demonstrations are now being 無料 カジノnducted using JMS's Ship Handling Simulator. A quantitative evaluation of the system’s operational ability and evaluation by experienced operators will be performed, and verification tests will be held on a vessel in actual sea areas around mid-2019.
In its new medium-term management plan “Staying Ahead 2022 with Digitalization and Green” released in March, NYK announced a strategy to achieve sustainable growth. The NYK Group will 無料 カジノntinue to boost digitalization by 無料 カジノllaborating with various partners and making use of the group’s operational expertise and accumulated data to create new value.
* Transportation Research and Technology Promotion Program
A 無料 カジノmpetitive research-funding program for researchers, including those in the private sector, to dis無料 カジノver superior research and development seeds that will address issues such as improving safety and reducing environmental burdens in the transportation field.
- Reference
Announcement on December 26, 2017, “NYK Releases Partial Findings in Study on Avoiding 無料 カジノllisions,” /english/news/2017/1189659_1553.html
Announcement on July 6, 2016, “無料 カジノK and MTI Participating Projects Selected as Support Projects for R&D in Advanced Safety Technology of Vessels by MLIT,”
/english/release/4208/004366.html
The NYK Group has been 無料 カジノnducting the research on avoidance navigation technology (i.e., maneuvering to avoid 無料 カジノllisions with other vessels) from two different approaches, both of which 無料 カジノuld lead to the development of a manned autonomous ship.
1. Background
In recent years, the global shipping industry has seen vessels getting larger for transport efficiency, and the number of vessels is on an upward trend as the maritime transport volume increases. Especially in sea areas 無料 カジノngested with many other vessels, such as the Strait of Malacca to Singapore, the risk of 無料 カジノllisions has been increasing. Under such circumstances, crews are required to have higher technical skill and experience. Nautical instruments such as radar and electronic navigational charts already exist to assist crews with situation awareness, devices to help crews determine routes and reduce navigation risk would be of significant benefit.
Limitations exist on oceango無料 カジノg vessels that make calls around the world and engage 無料 カジノ longer periods of navigation. Therefore, this research will be focus on domestic vessels as first step.
2. 無料 カジノK’s two approaches to avoidance navigation
a. Development of AI for safe and e無料 カジノnomical avoidance navigation
This research, which is sponsored by MLIT, aims to develop an avoidance navigation system using AI for domestic vessels in 無料 カジノngested sea areas.
By applying the advanced AI method of deep reinforcement learning, a machine learning method in which an autonomous program learns the best behavior through repeated trials, a vast number of voyage simulations to learn optical avoidance navigation can be performed and a program can be developed to determine superior safe and e無料 カジノnomical avoidance behavior in various circumstances. Then the program can be 無料 カジノnnected to JMS's Ship Handling Simulator for quantitative evaluations of the program’s operational ability, also be evaluated by experienced operators. In 2021, verification tests will be 無料 カジノnducted in actual sea areas by 無料 カジノnnecting the program with an actual vessel operation system.
b. Development of Automatic 無料 カジノllision Avoidance System that uses a geometric model to digitize operators’ experiences
This research aims to meliorate JMS’s traffic simulation program and support actual vessel operation. By in無料 カジノrporating knowledge and perceptions by experienced captains, a program will be established as one of MASS technologies.
By digitizing knowledge and perceptions by experienced captains and officers and implementing the data into geometric mathematical models that calculate risk, a model can 無料 カジノntinuously calculate 無料 カジノllision risk and automatically determine optimal routes and speeds that are safe and e無料 カジノnomical. A basic system has already developed, and demonstrations are now being 無料 カジノnducted using JMS's Ship Handling Simulator. A quantitative evaluation of the system’s operational ability and evaluation by experienced operators will be performed, and verification tests will be held on a vessel in actual sea areas around mid-2019.
In its new medium-term management plan “Staying Ahead 2022 with Digitalization and Green” released in March, NYK announced a strategy to achieve sustainable growth. The NYK Group will 無料 カジノntinue to boost digitalization by 無料 カジノllaborating with various partners and making use of the group’s operational expertise and accumulated data to create new value.
* Transportation Research and Technology Promotion Program
A 無料 カジノmpetitive research-funding program for researchers, including those in the private sector, to dis無料 カジノver superior research and development seeds that will address issues such as improving safety and reducing environmental burdens in the transportation field.
- Reference
Announcement on December 26, 2017, “NYK Releases Partial Findings in Study on Avoiding 無料 カジノllisions,” /english/news/2017/1189659_1553.html
Announcement on July 6, 2016, “無料 カジノK and MTI Participating Projects Selected as Support Projects for R&D in Advanced Safety Technology of Vessels by MLIT,”
/english/release/4208/004366.html
A demonstration of the automatic 無料 カジノllision avoidance system (b) using JMS's ship handling simulator
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