Autonomous Maritime Vessels – Machine Learning for Autonomous Ship Behaviour

University of Kiel

3 to 6 months

35h / week

English B1

Autonomous driving for cars is constantly being developed to market maturity. AI-based processes are the key to success here – starting with a reliable perception of the environment and prediction of behaviour through to controlled decision-making for autonomous vehicle behaviour. Corresponding developments are also increasingly being observed in the maritime sector. The CAU is involved in a test vehicle for autonomous shipping (the MS Wavelab) and a test area in the Kiel Fjord. The aim of the work is to establish an autonomous ferry service in the fjord in the medium term. The fundamentals of autonomous ship behaviour in busy waterways are currently being researched, e.g. in the context of research projects such as CAPTN FördeAreal, CAPTN Förde5G and CAPTN.

Tasks and duties entrusted to the student:
Autonomous driving for cars is constantly being developed to market maturity. AI-based processes are the key to success here - starting with a reliable perception of the environment and prediction of behaviour through to controlled decision-making for autonomous vehicle behaviour. Corresponding developments are also increasingly being observed in the maritime sector. The CAU is involved in a test vehicle for autonomous shipping (the MS Wavelab) and a test area in the Kiel Fjord. The aim of the work is to establish an autonomous ferry service in the fjord in the medium term. The fundamentals of autonomous ship behaviour in busy waterways are currently being researched, e.g. in the context of research projects such as CAPTN FördeAreal, CAPTN Förde5G and CAPTN.

Skills to be acquired or developed:
We work with state of the art methods in machine learning, ship simulations, behaviour quantification and analysis and hardware systems (i.e. real-world systems such as ships). Depending on your interests we can look for specific skills you will learn during your time in the group.

Compensation:

Erasmus + grant available depending on eligibility criteria of your home university

Prof. Dr.-Ing. habil. Sven Tomforde
st@informatik.uni-kiel.de
+49 431 880 4844