Korea Autonomous Surface Ship Project

Development of Autonomous Navigation System with Intelligent Route Planning Function

Project of MOF(Ministry of Oceans and Fisheries)

Project outline

Project outline
Item	Contents
Project name	Development of Autonomous Navigation System with Intelligent Route Planning Function
Total period/current year	2020.04 ~ 2025.12 ( 5years 9months ) / April 2020 ~ December 2020
Technical Overview for development	Precision of Operational Model for the Development of Autonomous Navigation Algorithms Development of Path Planning Algorithms for Safe Navigation - Development of Path Planning Algorithms for Economic Navigation Development of High-Reliability Route Tracking Control Algorithm Development of a common service platform for autonomous/economic navigation [(H/W)+(S/W)] Development of Algorithms for Automatic Berthing Application and Development of Algorithm Verification Environment
Contents of Research by Institution	(KRISO)Model Precision(Operational Model, Optimization-Based Model), Supervising control laws and guiding laws for berthing and navigation (Inha University)Development of a navigation-based induction algorithm, data-learning-based induction algorithm (KAIST)Development of Operational Guidance Law Based on Intentional Inference	(Pukyong National University)Development of Control and Berthing Algorithms (Changwon National University)Verification of Control and Berthing Algorithms (Seoul National University)Development of Logic and S/W Solutions for Establishing Economic Navigation Paths (UANGEL)Development of Integrated Platform System (S/W+H/W) (KSOE)Development of requirements for commercialization (SAMSUNG HEAVY INDUSTRIES)Development of requirements for commercialization

Project Goal

[Composition of Autonomous Navigation System ]

Product(Prototype)

Route Planning SW for Operational Safety(Collision Avoidance of more than 3 ships, all routes)
Path Planning SW for Economic Operations(Reduced fuel consumption by more than 5% on average, with an optimal operational prediction error rate of less than 10%)
High Reliability Route Tracking Control SW(15 stopover points, follow at least 2 pass conditions, Rudder/Engine control)
Common High Performance Service Platform for Autonomous and Economic Operations[(HW)+(SW)]

[Automatic Berthing SW concept]

Document(Rules, Manual, etc.)&Technology

Development of Precision Operations Model for the Development of Autonomous Navigation Algorithms
(within 10% of the standard value of state error)
Automatic Berthing SW basic design (Control error position precision less than 1.0 m and azimuth precision less than 0.5 deg.)

Development of the next Digital Communication Technologies for Ship2Ship2Shore

Project of MOF(Ministry of Oceans and Fisheries)

Project outline

Project outline
Item	Contents
Project name	Development of the next Digital Communication Technologies for Ship2Ship2Shore
Total period/current year	January 2021 ~ December 2025( 5 years ) / January 2021 ~ December 2021
Technical Overview for development	Development of VDES Ship Station Communication System operated as a frequency for international maritime affairs Development of Core Technology for Autonomous Ship Ocean Broadband Service Development of International Standard for Communication Service of MASS Development of a Scenario for the Verification of the ship2ship2shore Communication System
Contents of Research by Institution	(SYNC TECHNO)Development of Marine Broadband Integrated GW/5G Core Technology (COMESTA)Developing VDES System and Building a Test Bed (i-storm)Develop VDES systems and VDES gateways (Ace Antenna)Development of VDES System and Technical Standard for Wireless Facilities	(KR)International Standardization of VDES/Maritime Broadband Communications Technology (MMU)Development of a Scenario for the Verification of the Ship2Ship2Shore Communication System

Project Goal

[VDES Ship station communication system]

VDES Ship Station Communication System and gateway(prototype)

Development of Digital Communication System for Maritime International Standards(ITU-R M.2092)
Securing coverage and communication speed suitable for exchanging core information on autonomous ship (Ship to Ship: More than 12 km, Ship to Land: More than 80 km, Maximum 307 kbps@VDE)
Supports stable digital communication links (20% PER@-107 dBm, VDEBW)
IP Packet Service via VDES Gateway (VDES Gateway Prototype)
International Standardization Related to VDES and the enactment/revision of domestic maritime wireless equipment standards

[ Integrated gateway for Maritime Wideband Communication]

Maritime Broadband Integrated Gateway (Prototype)

Maritime broadband integrated gateway with diverse means of communication (VDES, VSAT, LTE)
Selection of intelligent channels according to ship operation status information (type of service, communication quality, etc.)
Development of Marine Wideband Communication Equipment for LTE-Based Broadband Service (Downlink more than 3Mbps, Uplink more than 1Mbps)
Advanced R&D of key element technology related to gateway 5G and Beyond
Development of requirements and standard technology for 5G core element technology

Development of Cyber Security Technology for MASS

Project of MOF(Ministry of Oceans and Fisheries)

Project outline

Project outline
Item	Contents
Project name	Development of Cyber Security Technology for MASS
Total period/current year	January 2021 ~ December 2024( 4 years) / January 2021 ~ December 2021
Technical Overview for development	Development of Cybersecurity Gateway Products for Autonomous surface Ships Using Latest Cybersecurity Technology Development of Integrated Security Management System of Shore Center for MASS Development of Cyber Security Type Approval Guidelines for Autonomous Ships Developing Agenda for International Organizations on Cybersecurity of MASS
Contents of Research by Institution	(Penta SECURITY)Develop Technology for Detection of Abnormal Signs of Cybersecurity Gateway based on Machine Learning by Monitoring the Internal Network of Ship (T1 Information Technology)Define for cybersecurity gateway requirements, and establish a demonstration system and support demonstration	(KR)Develop of an Integrated Security Management System Develop Cyber Threat Analysis and Visualization Technology Develop guidelines for formal approval of cyber security for self-driving ships (KMI)Develop agenda items for international organizations related to cybersecurity

Project Goal

[Image of related product(prototype)]

Product(Prototype)

Cybersecurity Gateway
- Control of communication flow and detection of abnormal signs between networks within the vessel(Respond to more than five attack scenarios)
- Machine learning-based cyber threat detection (95% chance of right detection and 5% false alarm)
Integrated Security Management System
- Remote Cyber Integrated Security Management(Collect and process more than 6,000 data per minute
- Analysis of Cyber Threat Data and Visualization(Alert within 3 seconds after receiving cyber threats)
- Managing ICT assets in self-driving ships

[Image of Related Document & Technology]

Document(Rules, Manual, etc.)&Technology

Guidelines for Cybersecurity formal Approval of MASS(2 types)
- For cybersecurity gateway products
- For other products of project development
Agendas for cybersecurity technology standards of MASS
- Agenda for submission by IMO, MSC and other related expert commission(NCSR, etc.) (Information documents)
- Agenda for submission by IALA, ARM and other related parties (Information documents)

Development of Shore Remote Control System of MASS

Project of MOF(Ministry of Oceans and Fisheries)

Project outline

Project outline
Item	Contents
Project name	Development of Shore Remote Control System of MASS
Total period/current year	April 2020 ~ December 2024( 4 years 9 months ) / April 2020~ December 2020
Technical Overview for development	Establishment of scenario by situation against emergency of MASS Development of Remote Monitoring System and Land Remote Control System in Land Center Based on Emergency Scenarios Development of Integrated Processing Network SW for the stable and efficient operation of remote monitoring and remote control in the shore center Conducting a model evaluation of the base technology for remote operation and situation recognition system from operation point of view
Contents of Research by Institution	(KMOU)Establishment for emergency scenario and demonstration (GMT)Development of Shore Remote Control System	(KR)Develop of an Integrated Security Management System Develop Cyber Threat Analysis and Visualization Technology Develop guidelines for formal approval of cyber security for self-driving ships (KMI)Develop agenda items for international organizations related to cybersecurity

Project Goal

[Image of related product(prototype)]

Product(Prototype)

MASS Remote Control System
- Remote Monitoring System
- Remote Control System
- Communication Network within 100 km
- Model Evaluation Technology of the Situation Recognition System for Remote Operation

Document(Rules, Manual, etc.)&Technology

A manual of emergency situation scenario operation for MASS
Building scenarios against emergency
(3 class services, 99.0% service satisfaction)
Remote monitoring system
(99.0% or higher of remote operator’s satisfaction)
Remote control system
(99.9% success rate of remote control by emergency situation)
Model evaluation report of situation recognition system for remote operations
(Model evaluation based on IMO ergonomics design guidelines)

Incident Response System and Reliability Assessment for Autonomous ships

Project of MOF(Ministry of Oceans and Fisheries)

Project outline

Project outline
Item	Contents
Project name	Incident Response System and Reliability Assessment for Autonomous ships
Total period/current year	January 2021 ~ December 2025 ( 5 years ) / Not applicable
Technical Overview for development	Rapid detection in the event of an accident while sailing a MASS, Development of an Accident Response System with Optimized Incident Response Algorithm through Immediate Forecasting of Accident Situation Development of safety assessment, risk, and reliability evaluation technology suitable for the unique concepts and features of MASS
Contents of Research by Institution	(Scanjet)Development of Incident Response System Console and Prototype (KRISO)Development of Incident Response Algorithms and Operational Technologies (KR)Development of the Risk Assessment System for MASS (LEEYOUNG SND)Development of Interface Technology for Signal Progression (Marine Tech IN)Development of UI Prototype for Incident Response System	(PNU)Development of Incident Response Algorithms (MMU)Development of Collision Accident Scenario and Quantitative Probability Estimation Techniques (KIMFT)Analysis of User Requirements of the Accident Response System Based on Actual Ship Operation (USN)Development of real-time risk analysis technology

Project Goal

[Image of related product]

Product(Prototype)

System console for autonomous navigation accident response (5 or more kinds of information sharing of shore control center)
Signaling interworking of accident detection system (more than 5 types of sensor linkage and 8 types of control interlocking)
Incident response system scenario (at least 2 types of scenario, at least 1 target vessel)
Risk model of MASS
FSA (basic design FSA) for MASS
Collision scenario customized simulator (1 Software)
Real-time risk analysis software for MASS (1 software)

[Image of related document and technology]

Document(Rules, Manual, etc.)&Technology

Specification of autonomous shipboard accident response system
Establishment of information database for ship model operating of accident response system
KS standard for autonomous ship accident response system
ISO standard for autonomous ship accident response system (proposal)
Guideline for the risk and evaluating reliability of self-driving ships (1 case of evaluation guide)
Basic design of FSA for MASS(1 case of FSA report)
Intellectual property rights related to accident response systems and risk assessment technologies (7 cases of applications and 1 case of registration)

Development of Remote Management and Safe Operating Technology of Autonomous Navigation System

Project of MOF(Ministry of Oceans and Fisheries)

Project outline

Project outline
Item	Contents
Project name	Development of Remote Management and Safe Operating Technology of Autonomous Navigation System
Total period/current year	April 2020 ~ December 2024 ( 4 years 9 months ) / April 2020 ~ December 2020
Technical Overview for development	Development of Fleet asset management and AI-based hull damage diagnosis technology for the stable and efficient operation of autonomous ships Development of six types of ground support services for stable operation within the navigation and narrow channels
Contents of Research by Institution	(KR)PSC, Asset Management, Development of Visual Recognition Technology (PNU)Development of Image Recognition Algorithm (GCSC)Autonomous operational assistance, Development of accident response service (KL Net)Development of Forecasting Services for loading and unloading of Freight and arrival/departure at Port (SEADRONIX)Development of assisting service for Berthing	(Marineworks)Development of Engine Monitoring Service (KMOU)Service Verification and Establishment of Ground Infrastructures (RIMS)Validation of effectiveness for 6 Types of service (KNDE)Making Database of Non-Destructive Testing and naming (AD!A LAB)Support for development of image recognition algorithms

Project Goal

[Assisting service for berthing(example)]

Product(Prototype)

Support services for autonomous navigation (collision avoidance in three or more ships, 80% or more of service satisfaction)
Berthing and mooring support services (reduced accident rate by 10% or more)
Assisting services for loading and unloading of freight and arrival/departure at port (error rate less than 10%)
PSC inspection support service (provision of PSC faults checklist)
Engine status monitoring support services (reduced maintenance costs by more than 5%)
Image recognition-based status inspection SW (damage recognition rate of 90% or higher)
Fleet asset management platform (one software case)

[Image of Related Document & Technology]

Document(Rules, Manual, etc.)&Technology

Establishment of a database related to ship damage and assets
Establishment of infrastructures for ground demonstration operation
Development of guidelines for ship management and inspection

Development of International Standardization Technology for Autonomous Ships

Project of MOF(Ministry of Oceans and Fisheries)

Project outline

Project outline
Item	Contents
Project name	Development of International Standardization Technology for Autonomous Ships
Total period/current year	April 2020 ~ December 2025 ( 5 years 9 months ) / April 2020 ~ December 2020
Technical Overview for development	Development of enactment/revision for laws and systems for the introduction and commercialization of autonomous ships Development of standard ship insurance terms and conditions for the compensation of marine accidents related to MASS Development of testing standards for key equipment and materials of certification procedures for type approval Submission and adoption of standard documents for the establishment of international standards
Contents of Research by Institution	(KMI)Legislation, Development of IMO and IEC Standard Documents (KOMERI)Development of ISO Standard Documents	(KOMSA)Development of IMO Standard Documents (Operations and Accidents) (KR)Development of certification procedures and test standards, IMO standard documents (certification) (KRISO)Development of IMO Standard Documents (Technical Development) (KIMFT)Development of IMO Standard Documents (Operation and Human Factors)

Project Goal

Development of Standardization Agenda

Development of IMO Agenda Document (Adoption 6 cases, Submission 18 cases)
Development of ISO Agenda Document (Adoption 1 case, Submission 5 cases)
Development of IEC Agenda Document (Adoption 1 case, Submission 5 cases)

Developing Guidelines for Certification and Enactment/Amendments

Development of legislation(proposal) of MASS
Development of Guidelines for Remote Operations
Development of Standard Terms and Conditions for Liability Insurance
Development of Amendment(proposal) of MASS
Development of Guideline(proposal) for certification of MASS>

Composing and operating of responsible organization dedicated to international standardization of autonomous ships

Compose and operate an organization in exclusive charge of IMO, IEC, and ISO standardization
Operate committees for the development of links with other projects and the sharing of achievements in the project

Development of a Situational Awareness System for Preventing Collisions and Accidents

Project of MTIE(Ministry of Trade Industry and Energy)

Project outline

Project outline
Item	Contents
Supervising institution and participating institution	KRISO, KAIST, STR, SEADRONIX
Research Period	1st Phase: April 2020 ~ December 2022 2nd Phase: January 2023 ~ December 2024 ( 4 years 9 months)
Technical Overview for development	Situational Awareness System for Preventing Collisions and Accidents A system for real-time recognition and analysis of sea conditions around ships in order to ensure navigation stability of autonomous ships Key components of the situational awareness system Collection and integration processing of heterogeneous sensor data and output system for information coordination Verification support systems of virtual and real environment data sets for artificial intelligence learning Technology for automatic detection, identification and tracking of floating objects by heterogeneous sensor data AI-based technology for estimating motion information of floating objects and collision risk assessment
Contents of Research by Institution	(KR)PSC, Asset Management, Development of Visual Recognition Technology (PNU)Development of Image Recognition Algorithm (GCSC)Autonomous operational assistance, Development of accident response service (KL Net)Development of Forecasting Services for loading and unloading of Freight and arrival/departure at Port (SEADRONIX)Development of assisting service for Berthing	(Marineworks)Development of Engine Monitoring Service (KMOU)Service Verification and Establishment of Ground Infrastructures (RIMS)Validation of effectiveness for 6 Types of service (KNDE)Making Database of Non-Destructive Testing and naming (AD!A LAB)Support for development of image recognition algorithms

Final Goal and Result

Final Goal and Result
Final goal of system and developed technology		Development Target
1. Integration/Processing/Management System for Heterogeneous Sensor	Development of Systems for MASS demonstration	TRL 7
1) Securing heterogeneous sensor data	Obtaining testbed/small ship/demonstration ship data (>100 cases)	100 case
2) Performance for Marine Object Detection and Identification	Relative distance ≤100m / Rubber boat (2m)	99 %
	Relative distance ≤1km / Fishing boat (10m)	99 %
	Relative distance ≤5km/ Small vessel (20m)	90 %
	Relative distance ≤10km/ Merchant ship (150m)	85 %
	Vessel type classification (five or more types of major sailing ships)	90 %
	Feature Display Classification(two or more types)	85 %
2. Information Matching and Output System for Situation Awareness	Development of Systems for MASS demonstration	TRL 7
1) update interval of Status information	AR(Augmented Reality)/Implementing 3D functional visualizations	1 Hz
2) Estimation Error of Motion Information	Standard deviation criterion of estimated information	≤ ±1σ ((Standard deviation))
3) Securing a collision risk assessment model	Probability model (comparison of existing representative models	100 %
3. Simulator system for assisting generation of AI- based learning information and verification	Development of a Simulator System for Verification of Development Algorithms	TRL 7
1) Generation of Simulator-Based Learning Data	Changed more than five variables (object type, time zone, weather, wind, algae, relative velocity, etc.)	100 %
2) Implementation of Simulator DB assisting verification	Designing Object 2D/3D model and constructing sensor specific model DB	100 %
4. Quantitative research outcome	Publication, application, registration of papers	-
SCI papers, domestic journals, patents (application/registration)		5cases/8 cases/Application:4 cases, Registration: 4 cases

Development of a Situational Awareness System for Preventing Collisions and Accidents

Project of MTIE(Ministry of Trade Industry and Energy)

Project outline

Project outline
Item	Contents
Supervising institution and participating institution	KR, DMSE, HMM OCEAN SERVICE, POSSM, Lab021, KL-Net, KIMM, KRISO, INHA University, MNMU, AJOU University, INNOSIMULATION, CCLSOFT
Research Period	1st Phase: April 2020 ~ December 2022 2nd Phase: January 2023 ~ December 2025( 5 years 9months )
Technical Overview for development	Technology concept to be developed A technology that monitors the operation status of key machinery systems responsible for propulsion and power generation of autonomous ships in real time to conduct fault diagnosis, prediction(Condition based maintenance) based on measurement data and to perform systematic and professional maintenance (Fail-safety) through a remote support system in the event of a failure [Target Technique Ⅰ] State-based fault diagnosis/predicting techniques(Condition based Maintenance) A technology that supports decision-making to prevent/respond to accidents in advance by diagnosing and predicting faults through real-time status monitoring of the vessel engine system for the purpose of minimizing the ship's downtime [Target Technique Ⅱ] Augmented Reality-Based Intelligent Ship Remote Maintenance Support System (Fail-safety) A system that provides optimal maintenance measures for equipment and fault needs of maintenance of ship engine system, visualizes Augmented Reality-based engineering information using MWP (Maintenance Work Package), which is essential for maintenance, and enables remote support from experts at shore

Development of Performance Monitoring, Failure Prediction and Diagnosis Technology for Engine System of Autonomous Ships

Project of MTIE(Ministry of Trade Industry and Energy)

Final Goal and Result

Final Goal and Result
Technology to be developed Ⅰ	Integrated System for State-based Fault diagnosis / Prediction (Condition based Maintenance)
Technical Goal	Development of a integrated state-based fault-diagnosis/prediction system for consisting of H/W monitoring of status signals and S/W capable of diagnosing/predicting faults for key engine systems of more than five types (main engine and generators, etc.)
Research Period	[Failure Diagnosis/Predicting Algorithm] Develops an algorithm that uses various statistical analysis, M/L techniques to predict trends in data change and fault diagnosis based on data produced by failure simulation scenarios [H/W & S/W System] Composed of hardware for the vessel core engine systems (sensors, cables, DAQs, servers, etc.) for obtaining data during engine operation and software (Graphical User Interface) to derive diagnosis/predictive results through pre-processing/analysis/learning of data
Technical Composition Diagram

Final Goal and Result

Final Goal and Result
Technology to be developed Ⅱ	Augmented Reality-Based Intelligent Support System for Remote Maintenance (Fail-Safety)
Technical Goal	Development of AR-Based Remote Maintenance Support System that can interface with autonomous ship monitoring, digital bridge, control system in ground, etc.
Technical Configuration	[Building MWP (Maintenance Work Package)] Information packages such as 3D models, drawings, maintenance manuals and maintenance history related to target equipment to assist in ship failure recovery and maintenance [Intelligent Optimal Maintenance Support System] A system that analyzes failure phenomena through an AR-based engineering information visualization system and supports crew (operator) decision-making to provide optimal maintenance measures and information
Technical Composition Diagram

Development of Verification and Validation Testbed for Autonomous ships

Project of MTIE(Ministry of Trade Industry and Energy)

Project outline

Project outline
Item	Contents
Supervising institution and participating institution	KRISO, ETRI, KR
Research Period	1st Phase: April 2020 ~ December 2022 / 2nd Phase: January 2023 ~ December 2024 (4 years 9 months)
Technical Overview for development	Verification of safety and performance is required for autonomous ships, major equipment and components of ships, navigational equipment/device, cybersecurity, and autonomous operation performance in order to develop technologies for autonomous ships and secure certification systems. Development and establishment of testing environment and infrastructure for testing/evaluation/verification of autonomous ships for this purpose Includes all kinds of testing, equipment, and personnel, including ground infrastructure and waters for trials for test evaluation, and certification of autonomous ships and systems (equipment and algorithms), marine trials testbeds including test ships (25 meters), and infrastructure for collecting and analyzing big data to improve systems of autonomous ships, as well as equipment and human resources

Development of Validation and Verification Technique for Intelligent System of Autonomous Ships

Project of MTIE(Ministry of Trade Industry and Energy)

Project outline

Project outline
Item	Contents
Supervising institution and participating institution	KRISO, SafeTechResearch, XINNOS, Lloyd’s Register Asia branch, KMOU, KSOE, Samsung Heavy Industries
Research Period	1st Phase: April 2020 ~ December 2022 / 2nd Phase: January 2023 ~ December 2024( 4 years 9 months)
Technical Overview for development	Development of a system for Simulation-based Test-bed for Autonomous Ship; S-TAS Development of a real-time monitoring system for testing in actual sea area of autonomous ships Development of Test Equipment for Performance Verification in Actual Sea Area of the Autonomous Navigation System Development of procedures for demonstration/performance evaluation of MASS Performance Evaluation of MASS system

Project outline

Project outline
Final goal of system and developed technology	Development Target
1. Development of a system for Simulation-based Test-bed for Autonomous Ship (S-TAS)	System: KR Certification Model: Third party Certification
1) Building an S-TAS Sea Area Model	3 sea areas
2) Building an S-TAS Ship Model	10 vessels
2. Development of a real-time monitoring system for testing in actual sea area of autonomous ships	Third party Certification
1) Digital Twin Bridge Monitoring system	Display accuracy of Navigation status : 99% or higher
2) Digital Twin Engine Monitoring System	Display accuracy of Navigation status : 99% or higher
3. Development of Test Equipment for Performance Verification in Actual Sea Area of the Autonomous navigation System	KR Certification
1) Virtual Data Generation System	Navigation data, engine data
4. Procedure of performance verification and evaluation sheet of autonomous operation system	Certification of an authorized agency
1) Performance Verification Procedure and Evaluation Sheet for Simulation-based Test-bed for Autonomous Ship Autonomous Operating System	10 cases
2) Performance Verification Procedures and Evaluation sheet for MASS/systems in the sea area	10 cases

Detailed task