Blar i NTNU Open på forfatter "Volden, Øystein"
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Cyber-resilient Aided Inertial Navigation: Applications to Ships and Unmanned Surface Vehicles
Volden, Øystein (Doctoral theses at NTNU;2023:15, Doctoral thesis, 2023)With the recent advancement in maritime autonomy, the autonomous ship market is predicted to cut costs through more efficient operation of uncrewed ships and surface vehicles, followed by a reduction in associated construction ... -
Development and experimental evaluation of visual-acoustic navigation for safe maneuvering of unmanned surface vehicles in harbor and waterway areas
Volden, Øystein; Cabecinhas, David; Pascoal, Antonio; Fossen, Thor I. (Peer reviewed; Journal article, 2023)Ship maneuvering in narrow harbor environments requires accurate navigation data to operate safely. Since Global Navigation Satellite Systems (GNSS) can be unreliable and inaccurate in such environments, other aiding ... -
Development and Experimental Validation of Visual-Inertial Navigation for Auto-Docking of Unmanned Surface Vehicles
Volden, Øystein; Stahl, Annette; Fossen, Thor I. (Peer reviewed; Journal article, 2023)Docking is a safety-critical operation for autonomous surface vehicles and requires highly accurate navigation signals. Since Global Navigation Satellite Systems (GNSS) can be unreliable and inaccurate in urban environments, ... -
Hijacking of unmanned surface vehicles: A demonstration of attacks and countermeasures in the field
Solnør, Petter; Volden, Øystein; Gryte, Kristoffer; Petrovic, Slobodan; Fossen, Thor I. (Peer reviewed; Journal article, 2022)Driven by advances in information and communication technologies, an increasing number of industries embrace unmanned and autonomous vehicles for services, such as public transportation, shipping, mapping, and remote ... -
Secure and Efficient Transmission of Vision-Based Feedback Control Signals
Volden, Øystein; Solnør, Petter; Petrovic, Slobodan; Fossen, Thor I. (Peer reviewed; Journal article, 2021)An ever-increasing number of autonomous vehicles use bandwidth-greedy sensors such as cameras and LiDARs to sense and act to the world around us. Unfortunately, signal transmission in vehicles is vulnerable to passive and ... -
Vision-based positioning of Unmanned Surface Vehicles using Fiducial Markers for automatic docking
Digerud, Lars; Volden, Øystein; Christensen, Kim Alexander; Kohtala, Sampsa; Steinert, Martin (Peer reviewed; Journal article, 2022)This paper describes a method of using fiducial markers to aid Unmanned Surface Vehicles (USVs) as an additional positioning source during auto-docking. Vision-based techniques allow USVs to localize themselves relative ... -
Vision-based positioning system for auto-docking of unmanned surface vehicles (USVs)
Volden, Øystein; Stahl, Annette; Fossen, Thor I. (Journal article, 2021)