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Thesis Work for Advanced Motion Prediction for Marine Vessels

ABB A/S



Placering
Västerås

Thesis Work for Advanced Motion Prediction for Marine Vessels
At ABB, we are dedicated to addressing global challenges. Our core values: care, courage, curiosity, and collaboration - combined with a focus on diversity, inclusion, and equal opportunities - are key drivers in our aim to empower everyone to create sustainable solutions. That's our story. Make it your story.
Your role and responsibilities
Join ABB and work in a team that is dedicated to creating a future where innovative digital technologies allow greater access to cleaner energy. ABB Corporate Research Center in Sweden is located in Västerås, about 100 kilometers west of Stockholm. Together with our colleagues in other R&D centers we develop technologies for future products and services for ABB's core businesses. Marine vessels are rapidly becoming increasingly automated, and an important next step is the development of algorithms for accurate predictions of other vessels’ motions. Information of current position, velocity, and heading direction can be obtained by fusing sensor data, e.g., from LiDAR and camera, using a tracking algorithm. However, for automated maneuvering in highly trafficked areas, estimates of future trajectories are also required. Thereby, the main task of this project is to propose a reliable method for predicting the future motion of surrounding vessels by supplementing the filtering of basic sensor data with other information, such as sea charts and collision regulations at sea (COLREGs). After this, the benefits of using such predictions for improving the path planning of the own vessel can be assessed. Details: • Start ASAP for a period of 6 months. • 30 ECTS per student. • 1-2 students. • On site ABB Corporate Research in Västerås – ABB may cover the accommodation. Research topics: • What supplementary information can be used for predicting the motion of other vessels? • What accuracy can be expected from such a motion prediction? • What computational efforts would be required to carry out such predictions in real time? • Which improvements can this bring to the path planning for the own ship? Goals: • Develop an efficient method for predicting the motion of other ships and analyze its limitations. • Study the impact of utilizing such predictions in a path-planning framework. Approach: • Problem formulation • Prior art review • Method & algorithm development • Validation by simulation

Qualifications for the role

  • Motivated to solve real-world problems using state-of-the-art methods.
  • Knowledge in automatic control, signal processing, robotics, optimization, machine learning, mathematics, or similar
  • Self-driven and solution oriented.
  • Good programming skills (experience with MATLAB/Simulink is advantageous but not necessary)

More about us
More information: Recruiting Manager Linus Thrybom, +46 730 80 99 06, will answer your questions. For all other questions please contact Fredrik Ljungberg ([email protected]) or Moksadur Rahman ([email protected]). Positions are filled continuously. Apply via ABB career page with your CV, academic transcripts and a cover letter in English latest by the 19th of July, 2024. We value people from different backgrounds. Apply today for your next career step within ABB and visit www.abb.com to learn about the impact of our solutions across the globe. #MyABBStory Please note that, to be eligible for employment at ABB, you will need to pass our pre-employment screening steps. This includes a reference check, a drug test, and could also include an extended background check. #Li-Onsite

Locations
Västerås, Sweden

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ABB A/S

Meterbuen 33, 2740 Skovlunde

ABB er en førende global teknologivirksomhed, der styrker omstillingen af samfundet og industrien for at opnå en mere produktiv og bæredygtig fremtid. Ved at forbinde software med porteføljen af elektrificeringsprodukter, robotter, automation, motorer og frekvens-omformere, løfter ABB de teknologiske grænser op til nye højder.

We accept unsolicited job applications: Apply through our webpages
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