MUNIN s Autonomous Bridge
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1 MUNIN s Autonomous Bridge MUNIN Final Event June 10 th 2015, Hamburg, Germany Dipl.-Wirt.-Ing. Wilko C. Bruhn Research Associate Fraunhofer CML SST : Grant no E-guided vessels: The 'autonomous' ship
2 Agenda General navigation concept Approach for autonomous navigation Advanced Sensor Module Deep-Sea Navigation System Remote Manoeuvring Support System Short-term applications 2
3 Agenda General navigation concept Approach for autonomous navigation Advanced Sensor Module Deep-Sea Navigation System Remote Manoeuvring Support System Short-term applications 3
4 What is navigation? Navigation can be described as the process or activity of accurately ascertaining one s position and planning and following a route. 4
5 General navigation concept The main hypothesis MUNIN s main hypothesis: Unmanned ship systems can autonomously sail on intercontinental voyages at least as safe and efficient as manned ships. The Autonomous Sensor Module can sense sufficient weather and traffic data to ensure navigation and planning function on autonomous ships and enable situation awareness in an operation room. The Deep-Sea Navigation System can autonomously navigate a ship safely and efficiently along a predefined voyage plan with respect to weather and traffic conditions. The Remote Manoeuvring Support System can provide a sufficient vessel track forecast to calculate the limitations of manoeuvrability and assist in direct remote control from a Shore Control Centre. 5
6 Operational modes Main focus on autonomous operation Autonomous execution Autonomous control Remote control Remote monitoring Status intervention Remote control
7 General navigation concept The main hazards 7
8 Autonomous navigation: Process map 8
9 Autonomous navigation: Process map 9
10 The general navigation concept Advanced Sensor Module Automated look-out Detect objects Observe weather phenomena Autonomous Navigation System Ship operation and decision-making Avoid collisions Ensure stability in harsh weather Remote Manoeuvre Support System Motion prediction Calculate limitations of manoeuvrability Assist in direct remote control 10
11 Agenda Use case and general navigation concept Approach for autonomous navigation Advanced Sensor Module Deep-Sea Navigation System Remote Manoeuvring Support System Short-term applications 11
12 Approach for autonomous navigation Advanced Sensor Module Automated evaluation of navigational data ASM s capabilities: Detect objects Classify objects Identify objects Single source of information Fusion of data from radar, AIS and visual sensors 12
13 Approach for autonomous navigation Deep-Sea Navigation System Weather routeing Determine optimal route and service speed profile Routeing restrictions, fuel efficiency and safety included Avoid unfavorable weather conditions Ship responses optimised 13
14 Approach for autonomous navigation Deep-Sea Navigation System Collision avoidance Prevent close ship to ship encounters COLREG-compliance required Evade other obstacles on the ship s track COLREG-compliance not required Head-on COLREG 13 Overtaking COLREG 14 Crossing COLREG 15 Nav. Status COLREG 18 Restricted COLREG 19 14
15 Approach for autonomous navigation Remote Manoeuvring Support System Support SCC during direct remote control Provide manoeuvring limits for autonomous control 15
16 Agenda General navigation concept Approach for autonomous navigation Advanced Sensor Module Deep-Sea Navigation System Remote Manoeuvring Support System Short-term applications 16
17 Short-term applications Automated Lookout / Watch-free bridge Single source of reliable data provision No reduced lookout capability due to fatigue Autonomous deep-sea navigation Hull and motion monitoring in harsh weather COLREG-compliance Shore-side traffic guidance / Shore-based watch Human-oriented information management Remote situation awareness concept 17
18 Thank you for your attention! 18
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