Blar i NTNU Open på forfatter "Johansen, Tor Arne"
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Accuracy of a slew maneuver for the HYPSO-1 hyperspectral imaging satellite — in-orbit results
Kristiansen, Bjørn Andreas; Langer, Dennis David; Garrett, Joseph Landon; Berg, Simen; Gravdahl, Jan Tommy; Johansen, Tor Arne (Peer reviewed; Journal article, 2023)In this paper, the accuracy of a slew maneuver performed by the HYPSO-1 satellite is analysed based on the data received during the satellite’s first months in orbit. The slew maneuver, during which the satellite turns ... -
Accuracy of Sea Ice Floe Size Observation from an Aerial Camera at Slant Angles
Rodin, Christopher D; Johansen, Tor Arne (Chapter; Peer reviewed, 2017)The importance of measuring the size of ice floes in e.g. marine navigation and environmental sciences has made it a frequently performed procedure. When real-time data is required, images from a camera on-board an aerial ... -
Accurate position estimation methods based on electrical impedance tomography measurements
Vergara, Samuel; Sbarbaro, Daniel; Johansen, Tor Arne (Journal article; Peer reviewed, 2017)Electrical impedance tomography (EIT) is a technology that estimates the electrical properties of a body or a cross section. Its main advantages are its non-invasiveness, low cost and operation free of radiation. The ... -
Adaptive Kalman filter for on-line spectroscopic sensor corrections
Sbarbaro, Daniel; Johansen, Tor Arne; Yanez, JP (Peer reviewed; Journal article, 2023)Spectroscopic sensors provide online information about the composition and concentration of species in a sample by analyzing the interaction of light and matter. At the industrial scale, external variables such as temperature, ... -
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 Sampling of Dynamic Fields using Autonomous Underwater Vehicles
Berget, Gunhild Elisabeth (Doctoral theses at NTNU;2022:368, Doctoral thesis, 2022) -
Adaptive Sampling of Ocean Processes Using an AUV with a Gaussian Proxy Model
Berget, Gunhild Elisabeth; Fossum, Trygve Olav; Johansen, Tor Arne; Eidsvik, Jo; Rajan, Kanna (Journal article; Peer reviewed, 2018)This paper presents methods for building and exploiting compact spatial models on board an autonomous underwater vehicle (AUV) towards tracking suspended material plumes. The research is aiming to improve real-time monitoring ... -
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 ... -
Adaptive vibration attenuation with globally convergent parameter estimation
Abdollahpouri, Mohammad; Batista, Gabriel; takacs, gergely; Johansen, Tor Arne; Rohal-Ilkiv, Boris (Journal article; Peer reviewed, 2019)Parameter estimation problems can be nonlinear, even if the dynamics are expressed by a linear model. The extended Kalman filter (EKF), even though it is one of the most popular nonlinear estimation techniques, may not ... -
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 ... -
Aerodynamic modeling of the Skywalker X8 Fixed-Wing Unmanned Aerial Vehicle
Gryte, Kristoffer; Hann, Richard; Alam, Mushfiqul; Rohac, Jan; Johansen, Tor Arne; Fossen, Thor I. (Chapter, 2018)With advanced control, estimation and simulation requirements in unmanned aerial systems comes the need for sophisticated aerodynamic models. This paper reviews two common means for establishing such models; numerical ... -
Aided Inertial Navigation of Small Unmanned Aerial Vehicles Using an Ultra-Wideband Real Time Localization System
Cisek, Krzysztof; Gryte, Kristoffer; Bryne, Torleiv Håland; Johansen, Tor Arne (Journal article; Peer reviewed, 2018)This paper presents an ultra-wideband (UWB) radio aided inertial navigation system (INS), estimating position, velocity and attitude (PVA), based on a low-cost microelectro-mechanical system (MEMS) Inertial Measurement ... -
Air Data Estimation for Small Unmanned Aircraft
Borup, Kasper Trolle (Doctoral theses at NTNU;2018:297, Doctoral thesis, 2018)The use of small fixed-wing unmanned aerial vehicles has shown an explosive growth in recent years and this thesis is motivated by the need for low-cost, accurate air data estimators for these aircraft. The air data contains ... -
An Efficient Real-Time FPGA Implementation of the CCSDS-123 Compression Standard for Hyperspectral Images
Fjeldtvedt, Johan Austlid; Orlandic, Milica; Johansen, Tor Arne (Journal article; Peer reviewed, 2018)Hyperspectral imaging (HSI) can extract information from scenes on the earth surface acquired by airborne or spaceborne sensors. On-board processing of HSI is characterized by large datasets on one side and limited processing ... -
An improved algorithm for combinatorial multi-parametric quadratic programming
Feller, Christian; Johansen, Tor Arne; Olaru, Sorin (Journal article; Peer reviewed, 2013)The goal of multi-parametric quadratic programming (mpQP) is to compute analytic solutions to parameter-dependent constrained optimization problems, e.g., in the context of explicit linear MPC. We propose an improved ... -
Analysis and design of quadratic parameter varying (QPV) control systems with polytopic attractive region
Rotondo, Damiano; Johansen, Tor Arne (Journal article; Peer reviewed, 2018)This paper proposes a gain-scheduling approach for systems with a quadratic structure. Both the stability analysis and the state-feedback controller design problems are considered for quadratic parameter varying (QPV) ... -
Analysis of ship collision risk encounters and COLREG behaviours using machine learning and AIS data
Vassbotn, Olav (Master thesis, 2022)Autonom styring innen transportsektoren regnes for å være neste store sektor for trygg og effektiv drift av fartøy. Denne oppgaven er en analyse av AIS (Automatic Identification System) data for skipstrafikken utenfor ... -
Anti-Collision System for Multi-Rotor Drones Operating Close to Obstacles using Radar Data
Koren, Thomas Frimann (Master thesis, 2017)This thesis concerns the development of a radar-based collision avoidance system for multirotor vehicles. The first chapter is a small introduction to radar systems, to aid in understanding the rest of this thesis. Further ... -
Anti-surge control: Control theoretic analysis of existing anti-surge control strategies
Kvangardsnes, Terje (Master thesis, 2009)This report on compressor anti-surge control closes some of the gaps related to the significant properties of control strategies. Anti-surge control is an important issue in operation of e.g. oil and gas processing plants. ... -
Application of RADAR SAR for Indoor Visual Inspection
Jablonski, Snorre (Master thesis, 2018)Utilizing Unmanned Aerial Vehicles (UAVs) for the purpose of indoor visual inspection poses great possibilities within many industries regarding cost reduction and efficiency. The development of mapping techniques and ...