Now showing items 1602-1621 of 3669

    • Hybrid collision avoidance for autonomous passenger ferries 

      Uttisrud, Anette (Master thesis, 2020)
      Den pågående urbaniseringen stiller økende krav til bærekraftig passasjertransport i byene. Elektriske autonome passasjerferger tilbyr en grønn og tilpasningsdyktig transportløsning som enkelt kan integreres i urbane ...
    • Hybrid Collision Avoidance for Autonomous Surface Vehicles 

      Serigstad, Einvald; Eriksen, Bjørn-Olav Holtung; Breivik, Morten (Journal article; Peer reviewed, 2018)
      Autonomous vehicles and collision avoidance (COLAV) systems are advancing rapidly. However, the majority of the COLAV methods developed are not designed for vehicles with second-order nonholonomic constraints, such as ...
    • Hybrid Collision Avoidance for Autonomous Surface Vessels 

      Serigstad, Einvald (Master thesis, 2017)
      When developing autonomous vehicles, collision avoidance (COLAV) methods are essential. COLAV methods are generally divided into two groups; reactive and deliberate methods. Reactive COLAV methods act solely on sensor data ...
    • Hybrid Control of Fixed-Wing UAVs for Large-Angle Attitude Maneuvers on the Two-Sphere 

      Reinhardt, Dirk Peter; Coates, Erlend Magnus Lervik; Johansen, Tor Arne (Peer reviewed; Journal article, 2020)
      We propose the design of a hybrid controller for fixed-wing unmanned aerial vehicles which guarantees global exponential tracking of attitude references on the two-sphere. The chosen attitude representation is singularity-free ...
    • Hybrid deep-learning POD-based parametric reduced order model for flow around wind-turbine blade 

      Tabib, Mandar; Tsiolakis, Vasileios; Pawar, Suraj; Ahmed, Shady E.; Rasheed, Adil; Kvamsdal, Trond; San, Omer (Peer reviewed; Journal article, 2022)
      In this study, we present a parametric, non-intrusive reduced order modeling (NIROM) framework as a potential digital-twin enabler for fluid flow around an aerofoil. A wind turbine blade has its basic foundation in the ...
    • Hybrid electronic tag platform for mapping of large-scale fish migration 

      Ali Aljumaili (Master thesis, 2019)
      To kjente metoder for fisk lokalisering er bruk av ATT (Acoustic Transmitter Tag) og DST (Data Storage Tags). Akustisk transmitter tagger sender ut en lydbølge som kan mottas av hydrofoner plassert i sjøen. Dette gir en ...
    • Hybrid Force Motion Synchronization Control of Robot Manipulators 

      Fikkan, Kristoffer (Master thesis, 2010)
      The main objective of this thesis was to combine the theory on synchronization of robot manipulators with the concept of hybrid force/motion control; resulting in a controller capable of following both the trajectory of ...
    • A hybrid kinematic controller for resilient obstacle avoidance of autonomous ships 

      Marley, Mathias; Skjetne, Roger; Breivik, Morten; Fleischer, Caroline (Peer reviewed; Journal article, 2020)
      Resilience is an important feature of autonomous systems. To be resilient, a control system must be stable, robust, and safe. This paper explores the use of hybrid feedback controllers to ensure robustness towards uncertainties ...
    • Hybrid Modelling and Control of Obstacle-Aided Snake Robot Locomotion 

      Liljeback, Pål; Pettersen, Kristin Ytterstad; Stavdahl, Øyvind; Gravdahl, Jan Tommy (Journal article; Peer reviewed, 2010)
      A snake can traverse cluttered and irregular environments by using irregularities around its body as push points to aid the propulsion. This characteristic feature of biological snake locomotion, which is denoted as ...
    • Hybrid Obstacle Aided Locomotion (HOAL) in Snake Robots 

      Koushan, Atussa (Master thesis, 2020)
      Slangeroboter er seriekoblede roboter som evner å traversere en mengde forskjellige terreng. Obstacle Aided Locomotion (OAL) eller hindringsbasert fremdrift er en metode for traversering av terreng preget av mye steiner ...
    • Hydroacoustically Aided Inertial Navigation for Joint Position and Attitude Estimation in Absence of Magnetic Field Measurements 

      Stovner, Bård Bakken; Johansen, Tor Arne (Journal article; Peer reviewed, 2017)
      When an underwater intervention vehicle is close to large metallic structures, e.g. subsea oil and gas facilities, magnetic disturbances might render magnetic field measurements biased or useless. This loss of information ...
    • Hydrogen Sulfide Detection through Salmon Juvenile Monitoring with Stereo Vision and Machine Learning 

      Eide, Lotte (Master thesis, 2023)
      Bakgrunn: Utvidelsen av landbaserte produksjonsfaser i lakseoppdrett er en voksende trend innen akvakulturindustrien. Reduksjon av tid tilbrakt på sjøen kan gi mange fordeler, men utviklingen av landbaserte fasiliteter ...
    • Hypergame-based Adaptive Behavior Path Planning for Combined Exploration and Visual Search 

      Dharmadhikari, Mihir; Deshpande, Harshal; Dang, Tung; Alexis, Konstantinos (Chapter, 2021)
      In this work, we present an adaptive behavior path planning method for autonomous exploration and visual search of unknown environments. As volumetric exploration and visual coverage of unknown environments, with possibly ...
    • Hyperparameter Optimization for Neural Network-based Virtual Flow Metering 

      Eriksen, Knut Vågnes (Master thesis, 2022)
      Hyperparametere er parameterne som kontrollerer hvordan en maskinlæringsalgoritme lærer, og hyperparameteroptimalisering er prosessen med å optimalisere disse parameterne. Riktig valg av hyperparameter verdier er avgjørende ...
    • Hyperspectral data analysis for chlorophyll estimation and operation of HYPSO-1 satellite 

      Gran-Jansen, Fredrik (Master thesis, 2022)
      HYPSO skjøt opp satellitten HYPSO-1 i bane 13. Januar 2022. Satellitten fanger havfarger med hyperspektral fjernmåling ved å separere lys i det synlige til nær-infrarøde spekteret i mange separate spektralbånd. Dermed øker ...
    • Hyperspectral Imager Calibration and Image Correction 

      Henriksen, Marie Bøe (Master thesis, 2019)
      Hyperspektrale kameraer, ombord blant annet droner og småsatellitter, skal detektere algeoppblomstring og andre havfenomener langs norskekysten. Dette er en del av prosjektet HYPSO, som står for "hyperspektral småsatellitt ...
    • Hyperspectral Remote Sensing Instrument design, field campaigns and data analysis 

      Fortuna, João (Doctoral theses at NTNU;2021:225, Doctoral thesis, 2021)
      Hyperspectral remote sensing is still a young field of research, but with a lot of interest, justified by its promising ability to detect and quantify targets. Recent developments in camera technology and single-board ...
    • Hyperspectral Video Analysis by Motion and Intensity Preprocessing and Subspace Autoencoding 

      Vitale, Raffaele; Ruckebusch, Cyril; Burud, Ingunn; Martens, Harald Aagaard (Peer reviewed; Journal article, 2022)
      Hyperspectral imaging has recently gained increasing attention from academic and industrial world due to its capability of providing both spatial and physico-chemical information about the investigated objects. While this ...
    • 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 (Peer reviewed; Journal article, 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 ...
    • HYPSO-1 Lunar Observations: Automated Hyperspectral Imaging: A Study on Lunar Observations and Sensor Calibration 

      Haldorsen, Markus Lægreid (Master thesis, 2023)
      Betydningen av nøyaktig hyperspektral bildebehandling i fjernmåling har ført til behovet for forbedrede kalibreringsteknikker. Denne avhandlingen undersøker automatisering av måneobservasjoner som en metode for kalibrering ...