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SST.2012.5.2-5: Grant no. 314286 E-guided vessels: The 'autonomous' ship
DGON ISIS 2014
Conducting look-out on an unmanned vessel: Introduction to the advanced sensor module for
MUNIN’s autonomous dry bulk carrier.
Wilko C. Bruhn*1, Hans-Christoph Burmeister1, Jonas A. Moræus2, Matthew T. Long2
1Fraunhofer Center for Maritime Logistics and Services CML [email protected]
2APTOMAR AS, Trondheim, Norway
http://www.unmanned-ship.org
Hamburg, 04 September 2014
Content
The MUNIN project
The advanced sensor module
The first in-situ test
The outlook
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The key facts
European FP7 project from September 2012 to August 2015
8 partners with €2.900.000 funding
Focus:
Develop a concept for an unmanned and autonomous merchant ship
Validate concept within a simulator set-up
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Maritime Unmanned Navigation through Intelligence in Networks
The consortium
Advisory Board
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The concept
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Content
The MUNIN project
The advanced sensor module
The first in-situ test
The outlook
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The navigation concept
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Autonomous Navigation System Ship operation and
decision-making Avoid collisions Ensure stability in
harsh weather
Shore Control Centre Human supervision
Monitor drone ship‘s voyage
Resolve problems
Advanced Sensor Module
Automated look-out Detect objects Observe weather
phenomena
The advanced sensor module
Requirements towards the development of an automated look-out system:
COLREG Rule 5: “maintain a proper look-out […] by all available means to make a full appraisal of the situation and the risk of collision”.
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Advanced sensor module‘s capabilities:
Provide automated evaluation of navigational data
Serve as single source of navigational data
Reduce information overload of human watchkeeper
The sensor fusion concept
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Content
The MUNIN project
The advanced sensor module
The first in-situ test
The outlook
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The test environment
Area: Sandnessund, Norway
15,5km x 5,0km
Ship: NSO Crusader
1851 GT
70m x 15m
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The test equipment
Sensor devices used for conducting first in in-situ testing
Camera system (daylight and infra-red)
AIS transceiver (Class A)
X-band radar
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The object detection concept
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The radar example
Raw radar imagery
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The radar example
Filtered radar imagery
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The radar example
Radar imagery with basic features
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The radar example
Post-processed radar imagery
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The test hypotheses
The hypotheses for this in-situ test was whether:
The advanced sensor system can sense sufficient weather and traffic data to ensure navigation and planning function on unmanned and autonomous vessels […]
The ASM shall e.g. be capable to detect:
A floating or partly submerged object of standard container size
A floating life raft
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Content
The MUNIN project
The advanced sensor module
The first in-situ test
The outlook
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The outlook
MUNIN‘s advanced sensor system aims to enable navigation within the project‘s autonomous and unmanned deep-sea shipping concept.
Within the context of today‘s conventional shipping, an automated look-out system on board can:
Integrate information from shipboard sensors
Provide resilient and reliable navigational data
Form the basis for navigation assistance systems
Compensate for limitations of sensors and human cognition
Thus, the ASM can contribute to the advancement of safety in shipping by improving the quality of data and reducing the workload of navigators.
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Thank you for your attention!
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