• Security Analysis of the Terrestrial Trunked Radio (TETRA) Authentication Protocol 

      Duan, Shuwen; Mjølsnes, Stig Frode; Tsay, Joe-Kai (Journal article; Peer reviewed, 2013)
      We present a security analysis of the widely-deployed Terrestrial Trunked Radio (TETRA) authentication protocol, where we find that the TETRA authentication protocol suffers from flaws that allow an attacker to defeat basic ...
    • Security and Independence of Process Safety and Control Systems in the Petroleum Industry 

      Onshus, Tor Engebret; Bodsberg, Lars; Hauge, Stein; JAATUN, Martin Gilje; Lundteigen, Mary Ann; Myklebust, Thor; Ottermo, Maria Vatshaug; Petersen, Stig; Wille, Egil (Peer reviewed; Journal article, 2022)
      The developments of reduced manning on offshore facilities and increased information transfer from offshore to land continue and may also be a prerequisite for the future survival of the oil and gas industry. A general ...
    • Segmentation and pose estimation of objects in RGB-D data using deep learning 

      Aschehoug, Christian Peter Bech (Master thesis, 2019)
      Maskinsyn er en stadig viktigere del av moderne industri og . Den overordnede maskinvisjonsprosessen bestar av bildetakning, analyse av bilder og informasjonshenting. Dype ˚ læringsteknikker, spesielt konvolusjonelle nevrale ...
    • Segmentation of Right Ventricle in 3D Ultrasound Recordings 

      Engås, Asbjørn Breivik (Master thesis, 2008)
      This thesis presents segmentation of the right ventricle of the heart in real-time tracking of 3D ultrasound recordings. A simple deformable model for the right ventricle is developed based on statistical data from manual ...
    • Selective inspection of ship ballast/cargo tanks by identifying inspection-important geometries 

      Wammer, Ole Andreas (Master thesis, 2023)
      Nye teknologiske framskritt for autonome droner har skapt mange muligheter og flere nye løsninger. En av disse er for strukturell inspeksjon av ballasttanker og lastetanker i skip. Slike inspeksjoner blir i dag utført med ...
    • Self-Calibration of Stereo Vision for Autonomous Ferry 

      Græsdal, Martin (Master thesis, 2021)
      Denne rapporten ser på muligheten til å implementere en selvkalibrerende algoritme for et stereo vision system som skal tas i bruk på en autonom ferje. Målet med algoritmen er å erstatte tradisjonelle offline kalibereringsmetoder, ...
    • Self-Organizing Maps for Fusion of Spectral Images 

      Woldstad, Trym (Master thesis, 2023)
      Denne oppgaven utforsker en ny anvendelse av selvorganiserende kart (SOM) for multimodal bildefusjon i fjernmåling. Forskningen bygger på arbeidet til HYPSO-satellittprosjektet og SeaBee-prosjektet, som begge tar sikte på ...
    • Self-synchronisation of wind farm in MMC-based HVDC system 

      Amin, Mohammad; Molinas Cabrera, Maria Marta (Chapter, 2016)
      The stability of an offshore wind power network connected through a high voltage dc (HVDC) transmission line is a critical problem since there is no direct connection to a strong ac collection (ACC) bus. Field experience ...
    • Semantic Dataset Generation and Detection For Industrial Environments 

      Udnæs, Marius (Master thesis, 2022)
      Punktskyinnhenting og semantisk segmentering er et viktig verktøy i digitaltalis- eringen av industrianlegg, men mye av dette arbeidet forblir idag manuelt. I samarbeid med Cognite, som leverer Cognite Data Fusion (CDF) ...
    • Semantic Segmentation of Radar Data with Deep Learning 

      Bøhn, Eivind Eigil (Master thesis, 2018)
      Autonomous ships have the potential to redefine the maritime industry, providing substantial improvements in safety, economics and fuel efficiency, while creating new previously unimagined services. Radar is a key part of ...
    • Semantic SLAM for Dynamic Environments 

      Wangberg, Nadia Garson (Master thesis, 2022)
      For ti år siden var det høye forventninger til bruk av mobile roboter i kommersiell og industriell virksomhet. Imidertidig, vil mange si at antallet mobile roboter i bruk i virksomhet er skuffende. Vi tror en av hovedårsakene ...
    • Semantically-enhanced Deep Collision Prediction for Autonomous Navigation using Aerial Robots 

      Kulkarni, Mihir; Nguyen, Dinh Huan; Alexis, Konstantinos (Peer reviewed; Journal article, 2023)
      This paper contributes a novel and modularized learning-based method for aerial robots navigating cluttered environments containing hard-to-perceive thin obstacles without assuming access to a map or the full pose estimation ...
    • Semantics-aware Exploration and Inspection Path Planning 

      Dharmadhikari, Mihir Rahul; Alexis, Konstantinos (Chapter, 2023)
      This paper contributes a novel strategy for semantics-aware autonomous exploration and inspection path planning. Attuned to the fact that environments that need to be explored often involve a sparse set of semantic entities ...
    • Semantics-aware Exploration and Inspection Path Planning 

      Dharmadhikari, Mihir; Alexis, Konstantinos (Peer reviewed; Journal article, 2023)
      This paper contributes a novel strategy for semantics-aware autonomous exploration and inspection path planning. Attuned to the fact that environments that need to be explored often involve a sparse set of semantic entities ...
    • Semi-Supervised Learning for Spasm Detection in Children with Cerebral Palsy 

      Norland, Ingrid Holter (Master thesis, 2023)
      Barn med cerebral parese (CP) står ofte overfor utfordringer knyttet til bevegelse og kommunikasjon. MoveMe har som mål å tilby et verktøy som motiverer bevegelse hos disse barna ved å bruke sensorer som er i stand til å ...
    • Semi-supervised learning for well flow modelling 

      Løvland, Kristian (Master thesis, 2021)
    • Semiglobal exponential stability of a counter-current and co-current guidance scheme 

      Caharija, Walter; Grøtli, Esten Ingar; Pettersen, Kristin Ytterstad (Journal article; Peer reviewed, 2018)
      A control technique for counter-current and co-current guidance of underactuated marine vehicles is revisited and stronger stability properties are shown. In particular, the stronger property of uniform semiglobal exponential ...
    • Semiglobally Asymptotically Stable Nonlinear Observer for Camera Aided Navigation 

      Bjørne, Elias; Brekke, Edmund Førland; Bryne, Torleiv Håland; Johansen, Tor Arne (Peer reviewed; Journal article, 2020)
      This brief presents a nonlinear observer that performs range estimation as well as gyro-bias estimation by using velocity, angular rate, and bearing angle measurements from landmarks at unknown locations. The observer is ...
    • Sensor Combinations in Heterogeneous Multi-sensor Fusion for Maritime Target Tracking 

      Helgesen, Øystein Kaarstad; Brekke, Edmund Førland; Helgesen, Håkon Hagen; Engelhardtsen, Øystein (Chapter, 2019)
      Safe navigation for autonomous surface vehicles requires a robust and reliable tracking system that maintains and estimates position and velocity of other vessels. This paper demonstrates a measurement level sensor fusion ...
    • Sensor Data Collecting System for Biathlon 

      Brager, Adrian (Master thesis, 2019)
      Formålet med dette prosjektet var å videreutvikle et innsamlingsystem for sensordata brukt i skiskyting, en olympisk sport der langrenn og presisjonsskyting kombineres. Systemet skal være trådløst, og samle data fra relevante ...