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Electronics and Electrical Engineering
Norway
2026

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
88
Citations
41742
World Ranking
316
National Ranking
1

Research.com Recognitions

  • 2026 - Research.com Electronics and Electrical Engineering in Norway Leader Award
  • 2025 - Research.com Electronics and Electrical Engineering in Norway Leader Award
  • 2022 - Research.com Electronics and Electrical Engineering in Norway Leader Award
  • 2016 - IEEE Fellow For contributions to modelling and controlling of marine crafts

Overview

Thor I. Fossen is affiliated with the Norwegian University of Science and Technology in Norway. Their research spans multiple fields within engineering and computer science, with a significant focus on ocean engineering and control systems.

The main fields of study for Thor I. Fossen include:

  • Engineering
  • Computer Science

More specifically, their subfields of study cover:

  • Ocean Engineering
  • Control and Systems Engineering
  • Aerospace Engineering
  • Artificial Intelligence
  • Computer Vision and Pattern Recognition

The primary topics of their work include:

  • Maritime Navigation and Safety
  • Adaptive Control of Nonlinear Systems
  • Underwater Vehicles and Communication Systems
  • Ship Hydrodynamics and Maneuverability
  • Robotic Path Planning Algorithms
  • Target Tracking and Data Fusion in Sensor Networks
  • Inertial Sensor and Navigation

Thor I. Fossen has published extensively in several venues. Frequent publication venues include:

  • Ocean Engineering
  • Journal of Marine Science and Technology
  • IEEE Access
  • IFAC-PapersOnLine
  • IEEE Transactions on Control Systems Technology

Recent representative papers authored or co-authored by Thor I. Fossen are:

  • An Adaptive Line-of-Sight (ALOS) Guidance Law for Path Following of Aircraft and Marine Craft, 2023, IEEE Transactions on Control Systems Technology
  • Path planning and collision avoidance for autonomous surface vehicles I: a review, 2021, Journal of Marine Science and Technology
  • Path planning and collision avoidance for autonomous surface vehicles II: a comparative study of algorithms, 2021, Journal of Marine Science and Technology
  • A Hybrid Approach to Motion Prediction for Ship Docking-Integration of a Neural Network Model Into the Ship Dynamic Model, 2020, IEEE Transactions on Instrumentation and Measurement
  • Object detection, recognition, and tracking from UAVs using a thermal camera, 2020, Journal of Field Robotics

Frequently collaborating co-authors include:

  • Tor Arne Johansen
  • Øystein Volden
  • Loïck Degorre
  • Emmanuel Delaleau
  • Olivier Chocron

In 2016, Thor I. Fossen was recognized as an IEEE Fellow for contributions to modelling and controlling of marine crafts.

Best Publications

  • Guidance and Control of Ocean Vehicles

    Thor I. Fossen

  • Marine Control Systems Guidance, Navigation, and Control of Ships, Rigs and Underwater Vehicles

    Thor I. Fossen

  • Handbook of Marine Craft Hydrodynamics and Motion Control

    Thor I. Fossen

  • Control allocation—A survey

    Tor Arne Johansen;Thor I. Fossen

  • Adaptive maneuvering, with experiments, for a model ship in a marine control laboratory

    Roger Skjetne;Thor I. Fossen;Petar V. Kokotović

  • Passive nonlinear observer design for ships using lyapunov methods: full-scale experiments with a supply vessel

    Thor I Fossen;Jann Peter Strand

  • Line-of-sight path following of underactuated marine craft

    Thor I. Fossen;Morten Breivik;Roger Skjetne

  • Line-of-Sight Path Following for Dubins Paths With Adaptive Sideslip Compensation of Drift Forces

    Thor I. Fossen;Kristin Y. Pettersen;Roberto Galeazzi

  • Constrained nonlinear control allocation with singularity avoidance using sequential quadratic programming

    T.A. Johansen;T.I. Fossen;S.P. Berge

  • Nonlinear output feedback control of dynamically positioned ships using vectorial observer backstepping

    T.I. Fossen;A. Grovlen

  • Integral LOS Path Following for Curved Paths Based on a Monotone Cubic Hermite Spline Parametrization

    Anastasios M. Lekkas;Thor I. Fossen

  • Robust output maneuvering for a class of nonlinear systems

    Roger Skjetne;Thor I. Fossen;Petar V. Kokotović

  • Kalman filtering for positioning and heading control of ships and offshore rigs

    T.I. Fossen;T. Perez

  • New directions in nonlinear observer design

    Henk Nijmeijer;T.I. Fossen

  • Design of a dynamic positioning system using model-based control

    Asgeir J. Sørensen;Svein I. Sagatun;Thor I. Fossen

  • On uniform semiglobal exponential stability (USGES) of proportional line-of-sight guidance laws

    Thor I. Fossen;Kristin Y. Pettersen

  • Path following control system for a tanker ship model

    Lúcia Moreira;Thor I. Fossen;C. Guedes Soares

  • Principles of Guidance-Based Path Following in 2D and 3D

    M. Breivik;T.I. Fossen

  • Design of a dynamic positioning system using model-based control

    Unknown

  • Passivity-based designs for synchronized path-following

    Ivar-André F. Ihle;Murat Arcak;Thor I. Fossen

  • Vehicle velocity estimation using nonlinear observers

    Lars Imsland;Tor A. Johansen;Thor I. Fossen;HåVard FjæR Grip

  • A separation principle for dynamic positioning of ships: theoretical and experimental results

    A. Loria;T.I. Fossen;E. Panteley

Frequent Co-Authors

Tor Arne Johansen
Tor Arne Johansen Norwegian University of Science and Technology
Asgeir J. Sørensen
Asgeir J. Sørensen Norwegian University of Science and Technology
Olav Egeland
Olav Egeland Norwegian University of Science and Technology
Kristin Y. Pettersen
Kristin Y. Pettersen Norwegian University of Science and Technology
Ali Saberi
Ali Saberi Washington State University
Henk Nijmeijer
Henk Nijmeijer Eindhoven University of Technology
Petar V. Kokotovic
Petar V. Kokotovic University of California, Santa Barbara
Murat Arcak
Murat Arcak University of California, Berkeley
Antonio Loria
Antonio Loria Centre national de la recherche scientifique, CNRS
Jan Tommy Gravdahl
Jan Tommy Gravdahl Norwegian University of Science and Technology

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