Blar i Institutt for teknisk kybernetikk på tittel
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Horizontal Collision Avoidance for Autonomous Underwater Vehicles
(Master thesis, 2015)Vast amounts of research has been done on the subject of collision avoidance. However, limited effort has been put into adapting collision avoidance algorithms to vehicles with second order non-holonomic constraints, such ... -
Hover Control of Thrust Vectoring VTOL Flying Wing - Modeling, Control and Development of Test Platform with Experimental Results
(Master thesis, 2017)This work consists of theoretical and practical advances in the development of a fully thrust-vectoring hybrid vertical take-off and landing (VTOL) unmanned aerial vehicle (UAV). A high-fidelity dynamic simulation model ... -
Hovering Control of a Quadrotor Using Monocular Images and Deep Reinforcement Learning
(Master thesis, 2019)I de siste årene har fagfeltet forsterkendelæring opplevd en renessanse på grunn av gjennombrudd i feltet selv, og på grunn av andre muliggjørende teknologier slik som effektive software verktøy, beregningskraft og særlig ... -
How Many Reindeer? UAV Surveys as an Alternative to Helicopter or Ground Surveys for Estimating Population Abundance in Open Landscapes
(Peer reviewed; Journal article, 2023)Conservation of wildlife depends on precise and unbiased knowledge on the abundance and distribution of species. It is challenging to choose appropriate methods to obtain a sufficiently high detectability and spatial ... -
Human Fall Detection Using Distributed Monostatic UWB Radars
(Master thesis, 2014)In a rapidly growing population of elderly people, a system that will allow more of them to stay home for a longer time is of large value to society. A large factor in elderly needing to move from their homes and into ... -
Human Tracking System
(Master thesis, 2014)This thesis is motivated by Statoil's wish to localize people operating inside an onshore or offshore production facility. There are especially two benefits of such systems. By monitoring an operator's exposure to noise, ... -
Human-MPC Interface for Smart Houses
(Master thesis, 2022)Smarthusteknologier er i rask utvikling, der mer fokus er rettet mot avanserte kontrollstrategier som Modell Prediktiv Kontroll (MPC), for å optimalisere varmesystemer som kan muliggjøre smart energistyring i bygg. Ettersom ... -
Human-Robot Interaction in Future Oil and Gas Installations: Automatic Generation of Function Allocation
(Master thesis, 2010)By incorporating advanced technologies such as information processing, inte- grated operations and human-robot interaction, for the past couple of years, the Norwegian Continental Shelf s oil and gas companies have been ... -
Human‑centred risk assessment for a land‑based control interface for an autonomous vessel
(Peer reviewed; Journal article, 2022)Autonomous ferries are providing new opportunities for urban transport mobility. With this change comes a new risk picture, which is characterised to a large extent by the safe transition from autonomous mode to manual ... -
HVAC-systems: Modeling, simulation and control of HVAC-systems
(Master thesis, 2011)It is of interest for companies to keep the annual operating cost of their buildings as low as possible. A substantial share of the annual operating costs are due to the large amount of energy needed for heating of the ... -
Hvilke endringer medfører ERTMS for Banesjef på Gjøvikbanen
(Master thesis, 2015)Oppgaven tar for seg vedlikehold og feilstatistikk på Gjøvikbanens signalanlegg og baserer seg på att banen i Nasjonal Signalplan er planlagt fornyet med det nye europeiske signalsystemet European Rail Traffic Management ... -
Hvordan oppnå god Situation Awareness og beslutningsstøtte i Remote Operation Centres for autonome skip?
(Master thesis, 2023)Autonome skip er på vei til å bli en realitet. Dette har potensial til å forandre den maritime bransjen ved å forbedre effektiviteten, sikkerheten og bærekraften i shippingindustrien. For å støtte autonom skipsfart blir ... -
Hybrid analysis and modeling for next generation of digital twins
(Peer reviewed; Journal article, 2021)The physics-based modeling has been the workhorse for many decades in many scientific and engineering applications ranging from wind power, weather forecasting, and aircraft design. Recently, data-driven models are ... -
A Hybrid Approach to Motion Prediction for Ship Docking— Integration of a Neural Network Model into the Ship Dynamic Model
(Peer reviewed; Journal article, 2020)While automatic controllers are frequently used during transit operations and low-speed maneuvering of ships, ship operators typically perform docking maneuvers. This task is more or less challenging depending on factors ... -
Hybrid Collision Avoidance for ASVs Compliant with COLREGs Rules 8 and 13-17
(Journal article; Peer reviewed, 2020)This paper presents a three-layered hybrid collision avoidance (COLAV) system for autonomous surface vehicles, compliant with rules 8 and 13–17 of the International Regulations for Preventing Collisions at Sea (COLREGs). ... -
Hybrid collision avoidance for autonomous passenger ferries
(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
(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
(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
(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
(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 ...