• Validation of ship intention model for maritime collision avoidance control using historical AIS data 

      Rothmund, Sverre Velten; Haugen, Helene Engebakken; Veglo, Guro Drange; Brekke, Edmund Førland; Johansen, Tor Arne (Chapter, 2023)
      This article tests the method for inferring and modeling ship intentions presented in [1] on real ship encounters gathered through the automatic identification system (AIS) that all larger ships are required to use. Empirical ...
    • The value of airborne wind energy to the electricity system 

      Malz, Elena C.; Walter, Viktor; Göransson, Lisa; Gros, Sebastien (Peer reviewed; Journal article, 2021)
      Airborne wind energy (AWE) is a new power generation technology that harvests wind energy at high altitudes using tethered wings. The potentially higher energy yield, combined with expected lower costs compared to traditional ...
    • Valve Leakage Detection System Analysis and Development for Quituplex Pumps 

      Kristiansen, Morten Andrè (Master thesis, 2010)
      This thesis undertakes the study of digital signal processing in the purpose of an optimized and dynamic approach to the valve leakage detection problem. Several field tests were analyzed to evaluate the system properties ...
    • Variable Selection and Redundancy in Multivariate Regression Models 

      Westad, Frank; Marini, Federico (Journal article, 2022)
      Variable selection is a topic of interest in many scientific communities. Within chemometrics, where the number of variables for multi-channel instruments like NIR spectroscopy and metabolomics in many situations is larger ...
    • Variance-Based Exploration for Learning Model Predictive Control 

      Seel, Katrine; Bemporad, Alberto; Gros, Sebastien Nicolas; Gravdahl, Jan Tommy (Peer reviewed; Journal article, 2023)
      The combination of model predictive control (MPC) and learning methods has been gaining increasing attention as a tool to control systems that may be difficult to model. Using MPC as a function approximator in reinforcement ...
    • Variational multiscale reinforcement learning for discovering reduced order closure models of nonlinear spatiotemporal transport systems 

      San, Omer; Pawar, Suraj; Rasheed, Adil (Peer reviewed; Journal article, 2022)
      A central challenge in the computational modeling and simulation of a multitude of science applications is to achieve robust and accurate closures for their coarse-grained representations due to underlying highly nonlinear ...
    • Variations of Joint Integrated Data Association With Radar and Target-Provided Measurements 

      Hem, Audun Gullikstad; Brekke, Edmund Førland (Peer reviewed; Journal article, 2023)
      Target tracking algorithms are usually based on exteroceptive measurements obtained from sensors placed in the center of some surveillance area. However, information transmitted from surrounding targets will often also be ...
    • Varmereguleringssystem for testing av komponenter i termisk vakuum 

      Gløsmyr, Martin Kristoffer; Graffer, Sverre; Mathisen, Håkon Dahl; Senkaya, Sacit Ali (Bachelor thesis, 2022)
      Orbit NTNU er en teknisk organisasjon som konstruerer kubesatellitter. Før en slik satellitt skytes ut i verdensrommet er det viktig at den blir testet grundig, for å sjekke at den tåler vakuum-tilstanden i rommet og ...
    • The VAROS Synthetic Underwater Data Set: Towards realistic multi-sensor underwater data with ground truth 

      Zwilgmeyer, Peder Georg Olofsson; Yip, Mauhing; Teigen, Andreas Langeland; Mester, Rudolf; Stahl, Annette (Peer reviewed; Journal article, 2021)
      Underwater visual perception requires being able to deal with bad and rapidly varying illumination and with reduced visibility due to water turbidity. The verification of such algorithms is crucial for safe and efficient ...
    • Vector Field Path Following of Static Sinusoidal Paths for Underwater Snake Robots 

      Gushkov, Ivan Ivanov; Orucevic, Amer; Pettersen, Kristin Ytterstad; Yao, Weijia; Gravdahl, Jan Tommy (Chapter, 2023)
      In this paper, a guiding vector field (GVF) approach is applied to solve the path-following problem of a static unbounded sinusoidal path for an underwater snake robot (USR) in the presence of constant irrotational currents. ...
    • Vehicle Collision Avoidance System 

      Sørbø, Eivind Hope (Master thesis, 2013)
      Thesis Description: The purpose of the thesis is to develop and simulate a collision avoidance system for a vehicle. Both static and dynamic obstacles should be considered.
    • Vehicle Detection and Landing as an Addition to Package Delivery Drones 

      Håkon Elfving (Master thesis, 2019)
      De nylige utviklingene i autonome pakkeleveransedroner gir lovende resultater, men har potensiellt begrensninger når det gjelder maksimal avstand de kan dra. I denne oppgaven skal jeg ta for meg muligheten til å bruke ...
    • Vehicle Guidance with Control Action Computed by a Rao-Blackwellized Particle Filter 

      Sans-Muntadas, Albert; Brekke, Edmund Førland; Pettersen, Kristin Ytterstad (Chapter, 2017)
      Particle filters can be used in navigation and state estimation problems. They can approximate arbitrary posterior distributions and do not require assumptions of Gaussianity or linearizations. This paper suggests to use ...
    • Vehicle Safety of the Velocity Obstacle Algorithm 

      Haraldsen, Aurora; Syre Wiig, Martin; Pettersen, Kristin Ytterstad (Peer reviewed; Journal article, 2020)
      This paper presents a mathematical analysis of the velocity obstacle algorithm applied to a nonholonomic vehicle for avoiding a moving obstacle in the plane. The velocity obstacle algorithm can be used for local navigation ...
    • Vehicle velocity estimation on non-flat roads 

      Nerbråten, Stian (Master thesis, 2007)
      The main purpose of this report, is to evaluate feasibility of using The Global Positioning System as an aiding tool for vehicle state estimation based on nonlinear techniques, and to develop a potential solution to the ...
    • Velferdsteknologi i boliger. Muligheter og utfordringer 

      Aspnes, Espen; Ausen, Dag; Høyland, Karin; Mikalsen, Marius; Steen-Hansen, Anne Elise; Storesund, Karolina; Schjølberg, Ingrid; Svagård, Ingrid Storruste; Walderhaug, Ståle (SINTEF Rapport;A23938, Research report, 2012)
      Målsettingen med denne rapporten er å belyse og diskutere muligheter og utfordringer med implementering av velferdsteknologi knyttet til boligløsninger og det å klare seg godt i egen bolig. Utvikling og implementering av ...
    • Velocity and orientation control of underwater snake robots using absolute velocity feedback 

      Kohl, Anna M; Pettersen, Kristin Ytterstad; Gravdahl, Jan Tommy (Chapter, 2017)
      This article presents a control system for velocity and orientation control of underwater snake robots using absolute velocity feedback. The control system is structured in a hierarchical way, where the highest priority ...
    • Verification and extension of a linear model of a rotary converter 

      Aschenbrenner, Bernhard (Master thesis, 2007)
      In this work, a verification and extension of a linear rotary converter model is done in Matlab®/Simulink. The existing model was developed by Thomas Høyvik Garten in his master thesis “Linear Model of Rotary Converter in ...
    • Verification of downhole choke technology in a simulator using data from a North Sea well 

      Kvernland, Martin Krister; Gorski, Dmitri; Sant'Ana, Mateus; Godhavn, John-Morten; Aamo, Ole Morten; Sangesland, Sigbjørn (Journal article; Peer reviewed, 2019)
      The most important contributer to Improved Oil Recovery (IOR) on mature fields is drilling of infill wells. Managed Pressure Drilling (MPD) and Continuous Circulation System (CCS) techniques can be used for improved control ...
    • A Very Low SEF Neural Amplifier by Utilizing a High Swing Current-Reuse Amplifier 

      Naderi, Kebria; Habibzadeh Tonekabony Shad, Erwin; Molinas, Marta Maria Cabrera; Heidari, Ali; Ytterdal, Trond (Chapter, 2020)
      Although current-reuse amplifier has been widely used in biomedical applications because of their low input-referred thermal noise, they don't have high output swing and their gain is limited. In this article, a rail-to-rail ...