• Adaptive sampling for UAV sensor network in oil spill management 

      Grøtli, Esten Ingar; Haugen, Joakim; Johansen, Tor Arne; Imsland, Lars Struen (Peer reviewed; Journal article, 2021)
      In this paper we propose a method for adaptive sampling using Unmanned Aerial Vehicles (UAVs) in oil spill management. The goal is to measure and estimate oil spill concentrations at the sea surface, while at the same time ...
    • Adaptive Underwater Robotic Sampling of Dispersal Dynamics in the Coastal Ocean 

      Berget, Gunhild Elisabeth; Eidsvik, Jo; Alver, Morten; Py, Frédéric; Grøtli, Esten Ingar; Johansen, Tor Arne (Chapter, 2022)
      To get a better understanding of the highly nonlinear processes driving the ocean, efficient and informative sampling is critical. By combining robotic sampling with ocean models we are able to choose informative sampling ...
    • Advancing multi-vehicle deployments in oceanographic field experiments 

      Ferreira, Antonio Sergio; Costa, Maria; Py, Frédéric; Pinto, José; Silva, Monica A.; Nimmo-Smith, W. Alex M.; Johansen, Tor Arne; Borges de Sousa, Joao; Rajan, Kanna (Journal article; Peer reviewed, 2018)
      Our research concerns the coordination and control of robotic vehicles for upper water-column oceanographic observations. In such an environment, operating multiple vehicles to observe dynamic oceanographic phenomena, such ...
    • Deep Reinforcement Learning Attitude Control of Fixed Wing UAVs Using Proximal Policy Optimization 

      Bøhn, Eivind Eigil; Coates, Erlend Magnus Lervik; Moe, Signe; Johansen, Tor Arne (Chapter; Peer reviewed, 2019)
      Contemporary autopilot systems for unmanned aerial vehicles (UAVs) are far more limited in their flight envelope as compared to experienced human pilots, thereby restricting the conditions UAVs can operate in and the types ...
    • Dynamic stochasticmodeling for adaptive sampling of environmental variables using an AUV 

      Berget, Gunhild Elisabeth; Eidsvik, Jo; Alver, Morten Omholt; Johansen, Tor Arne (Peer reviewed; Journal article, 2023)
      Discharge of mine tailings significantly impacts the ecological status of the sea. Methods to efficiently monitor the extent of dispersion is essential to protect sensitive areas. By combining underwater robotic sampling ...
    • GNSS-Denied Navigation using Direction of Arrival from Low-Cost Software Defined Radios and Signals of Opportunity 

      Winter, Adrian; Sokolova, Nadezda; Morrison, Aiden J; Johansen, Tor Arne (Peer reviewed; Journal article, 2022)
      This paper describes a novel navigation system for outdoor navigation in conditions where reliable satellite navigation cannot be assumed. It is build around inexpensive of-the-shelf hardware and could be used with several ...
    • HYPSO-1 CubeSat: First Images and In-Orbit Characterization 

      Bakken, Sivert; Henriksen, Marie Bøe; Birkeland, Roger; Langer, Dennis David; Oudijk, Adriënne Esmeralda; Berg, Simen; Pursley, Yeshi; Garrett, Joseph Landon; Gran-Jansen, Fredrik; Honoré-Livermore, Evelyn; Grøtte, Mariusz Eivind Santora; Kristiansen, Bjørn Andreas; Orlandic, Milica; Gader, Paul; Sørensen, Asgeir Johan; Sigernes, Fred; Johnsen, Geir; Johansen, Tor Arne (Journal article; Peer reviewed, 2023)
      The HYPSO-1 satellite, a 6U CubeSat carrying a hyperspectral imager, was launched on 13 January 2022, with the Goal of imaging ocean color in support of marine research. This article describes the development and current ...
    • Implementation and Test of a Low Cost GBAS Subset Airborne Receiver Experimental Platform for UAVs 

      Toker, Kadir Atilla; Sokolova, Nadezda; Johansen, Tor Arne (Chapter, 2022)
      A Ground Based Augmentation System (GBAS) provides differential corrections to Global Navigation Satellite Systems (GNSS) using VHF Data Broadcast (VDB) Equipment. This paper discusses development and test of an experimental ...
    • Motion- and Communication-Planning of Unmanned Aerial Vehicles in Delay Tolerant Network using Mixed-Integer Linear Programming 

      Grøtli, Esten Ingar; Johansen, Tor Arne (Journal article; Peer reviewed, 2016)
      Large amounts of data are typically generated in applications such as surveillance of power lines and railways, inspection of gas pipes, and security surveillance. In the latter application it is a necessity that the data ...
    • Navigation Algorithm-Agnostic Integrity Monitoring based on Solution Separation with Constrained Computation Time and Sensor Noise Overbounding 

      Bosdelekidis, Vasileios; Bryne, Torleiv Håland; Sokolova, Nadezda; Johansen, Tor Arne (Peer reviewed; Journal article, 2022)
      Integrity monitoring (IM) in autonomous navigation has been extensively researched, but currently available solutions are mainly applicable to specific algorithms and sensors, or limited by linearity or 'Gaussianity' ...
    • Nonlinear observers for integrated INS\/GNSS navigation: implementation aspects 

      Bryne, Torleiv Håland; Hansen, Jakob Mahler; Rogne, Robert Harald; Sokolova, Nadezda; Fossen, Thor I.; Johansen, Tor Arne (Peer reviewed; Journal article, 2017)
      Navigation is a term with broad usage in everyday life and can mean the act of moving, moving through an unknown environment, ascertaining a craft's position, or even browsing on the Internet. Originally, the term meant ...
    • Operability analysis of control system for ROV launch-and-recovery from autonomous surface vessel 

      Tran, Celine; Gushkov, Ivan Ivanov; Nordvik, Kristoffer; Røang, Simen Troye; Lysthaug, Simen Brodalen; Ommani, Babak; Fossen, Thor I.; Hassani, Vahid; Smines, Vidar; Johansen, Tor Arne (Journal article; Peer reviewed, 2023)
      The launch and recovery of equipment such as remotely operated vehicles (ROVs) is a critical task that defines the operability limits of many marine operations. This paper considers the analysis of control systems that are ...
    • Path planning for UAV harvesting information from dynamical wireless sensor nodes at sea 

      Ho, Tu Dac; Grøtli, Esten Ingar; Johansen, Tor Arne (Chapter, 2022)
      A system of several wireless sensor nodes and one unmanned aerial vehicle (UAV) is considered in this research. The nodes are only floating and drifting with the sea stream. The UAV will be operating as a data mule to ...
    • PSO and Kalman Filter-Based Node Motion Prediction for Data Collection from Ocean Wireless Sensors Network with UAV 

      Ho, Tu Dac; Grøtli, Esten Ingar; Johansen, Tor Arne (Peer reviewed; Journal article, 2021)
      In this paper, we consider a wireless sensor network of nodes at the sea surface drifting due to wind and sea currents. In our scenario an Unmanned Aerial Vehicle (UAV) will be used to gather data from the sensor nodes. ...
    • Survey on Communication and Networks for Autonomous Marine Systems 

      Zolich, Artur Piotr; Palma, David; Kansanen, Kimmo; Fjørtoft, Kay Endre; Sousa, João; Johansson, Karl H.; Jiang, Yuming; Dong, Hefeng; Johansen, Tor Arne (Journal article; Peer reviewed, 2018-04-21)
      The rapid development of autonomous systems and Information and Communications Technologies (ICT) create new opportunities for maritime activities. Existing autonomous systems are becoming more powerful and utilise the ...