Øystein Volden - NTNU

Om

PhD project: "Cyber-resilient Aided Inertial Navigation: Applications to Ships and USVs"

Supervisor: Thor I. Fossen

Co-supervisor: Slobodan Petrovic and Annette Stahl

Publikasjoner

2022

Digerud, Lars; Volden, Øystein; Christensen, Kim Alexander; Kohtala, Sampsa; Steinert, Martin. (2022) Vision-based positioning of Unmanned Surface Vehicles using Fiducial Markers for automatic docking. IFAC-PapersOnLine. volum 55.
Vitenskapelig artikkel
Solnør, Petter; Volden, Øystein; Gryte, Kristoffer; Petrovic, Slobodan; Fossen, Thor I.. (2022) Hijacking of unmanned surface vehicles: A demonstration of attacks and countermeasures in the field. Journal of Field Robotics (JFR).
Vitenskapelig artikkel

2021

Volden, Øystein; Solnør, Petter; Petrovic, Slobodan; Fossen, Thor I.. (2021) Secure and Efficient Transmission of Vision-Based Feedback Control Signals. Journal of Intelligent and Robotic Systems. volum 103.
Vitenskapelig artikkel
Volden, Øystein; Stahl, Annette; Fossen, Thor I.. (2021) Vision-based positioning system for auto-docking of unmanned surface vehicles (USVs). International Journal of Intelligent Robotics and Applications (IJIRA).
Vitenskapelig artikkel

Vitenskapelige artikler

Digerud, Lars; Volden, Øystein; Christensen, Kim Alexander; Kohtala, Sampsa; Steinert, Martin. (2022) Vision-based positioning of Unmanned Surface Vehicles using Fiducial Markers for automatic docking. IFAC-PapersOnLine. volum 55.
Vitenskapelig artikkel
Solnør, Petter; Volden, Øystein; Gryte, Kristoffer; Petrovic, Slobodan; Fossen, Thor I.. (2022) Hijacking of unmanned surface vehicles: A demonstration of attacks and countermeasures in the field. Journal of Field Robotics (JFR).
Vitenskapelig artikkel
Volden, Øystein; Solnør, Petter; Petrovic, Slobodan; Fossen, Thor I.. (2021) Secure and Efficient Transmission of Vision-Based Feedback Control Signals. Journal of Intelligent and Robotic Systems. volum 103.
Vitenskapelig artikkel
Volden, Øystein; Stahl, Annette; Fossen, Thor I.. (2021) Vision-based positioning system for auto-docking of unmanned surface vehicles (USVs). International Journal of Intelligent Robotics and Applications (IJIRA).
Vitenskapelig artikkel