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Viser treff 1326-1345 av 3703
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Experimental Investigations of an Icing Protection System for UAVs
(Journal article; Peer reviewed, 2019) -
Experimental Monitoring of Sea Ice Using Unmanned Aerial Systems
(Master thesis, 2015)The exploration of arctic seas for offshore oil- and gas resources has received increasing interest the past few years. Despite the recent dramatic fall in oil prices, estimates indicate that as much as 22% of the worlds ... -
Experimental Results for Set-based Control within theSingularity-robust Multiple Task-priority Inverse KinematicsFramework
(Journal article; Peer reviewed, 2015)Inverse kinematics algorithms are commonly used in robotic systems to achieve desired behavior, and several methods exist to ensure the achievement of numerous tasks simultaneously. The multiple task priority inverse ... -
Experimental set-up of a thermal vacuum chamber for thermal model in-house correlation and characterization of the HYPSO hyperspectral imager
(Peer reviewed; Journal article, 2023)Space environment with changing temperatures and vacuum can affect the performance of optics instruments onboard satellites. Thermal models and tests are typically done to understand the optics performance within large ... -
Experimental study of installation procedure and volume estimation of tarpaulin for chemical treatment of fish in floating cages
(Journal article; Peer reviewed, 2017)In the salmon industry chemical delousing is done by enclosing the cage in a tarpaulin, and then mixing the chemical agent in the enclosed water volume. Correct dosage is important to obtain the wanted effect, and in order ... -
Experimental Testing of HeaveLock
(Master thesis, 2016)When drilling from a floating rig the ocean waves induces a vertical motion on the rig. This movement is called heave motion. During a connection, when the drill string is extended, the drill string is attached to the rig ... -
Experimental validation of attitude and rate-sensor bias filter using range-difference measurements
(Peer reviewed; Journal article, 2018)This paper considers the problem of constructing a filter for estimating attitude and rate-sensor bias, that has both proven stability and close-to-optimal performance with respect to noise. The filter is based on measuring ... -
Experimental validation of camera-based maritime collision avoidance for autonomous urban passenger ferries
(Peer reviewed; Journal article, 2023)Maritime collision avoidance systems rely on accurate state estimates of other objects in the environment from a tracking system. Traditionally, this understanding is generated using one or more active sensors such as ... -
Experimental validation of camera-based maritime collision avoidance for autonomous urban passenger ferries
(Peer reviewed; Journal article, 2023)Abstract: Maritime collision avoidance systems rely on accurate state estimates of other objects in the environment from a tracking system. Traditionally, this understanding is generated using one or more active sensors ... -
Experimental validation of dynamic stationkeeping capability analysis: The next level DP capability analysis
(Master thesis, 2012)This thesis considers two main issues: the theoretical aspects of stationkeeping capability analysis in general, and dynamic capability (DynCap) analysis in particular; further there has been conducted capability analyses ... -
Experimental Verification of a Coordinated Path-Following Strategy for Underactuated Marine Vehicles
(Journal article; Peer reviewed, 2019)This work presents the results of an experimental verification of a coordinated path following strategy for underactuated marine vehicles. The coordinated path following strategy is presented, and is then experimentally ... -
Experiments and modelling of near-horizontal bubbly flow
(Peer reviewed; Journal article, 2023)This work aims to establish a fast and robust mechanistic model framework for predicting phase fraction profiles in bubbly flows. The main motivation is that the associated closure laws can in the future be used as a basis ... -
Experiments on the Mask RCNN Architecture with Synthetic Maritime Datasets
(Master thesis, 2020)Denne oppgaven utvider funksjonaliteten til instans-segmenterings arkitekturen "Mask RCNN" ved å inkludere en modul for retningsestimering. Senere blir modifiserte versioner av "Integrated Gradients" og LIME brukt til å ... -
Explainable AI for path following with Model Trees
(Master thesis, 2020)Den økende mengden applikasjoner som involverer maskinlæringsmetoder, utgjør en utfordring når eksperter prøver å forstå deres indre virkemåte. Deep Reinforcement Learning (DRL) er en maskinlæringsmetode som bruker kunstig ... -
Explainable AI methods for Cyber-Physical systems
(Master thesis, 2021)Fremskrittene i kunstig intelligens (AI) det siste tiåret har banet vei for et innovativt og mer digitalisert samfunn. Til dags dato er AI-løsninger til stede i mange situasjoner vi møter hver dag. Basert på denne evolusjonen ... -
Explainable AI methods on a deep reinforcement learning agent for automatic docking
(Peer reviewed; Journal article, 2021)Artifical neural networks (ANNs) have made their way into marine robotics in the last years, where they are used in control and perception systems, to name a few examples. At the same time, the black-box nature of ANNs is ... -
Explainable Artificial Intelligence for the docking of a marine vessel using SHAP and LIME
(Master thesis, 2023)Autonom dokking av skip har vært et forskningsområde i flere tiår, og det første automatiske dokkingssystemet ble utviklet på 1960-tallet. Fremskritt innen teknologi har ført til stadig mer sofistikerte systemer, som kan ... -
Explaining a Deep Reinforcement Learning Agent Using Regression Trees
(Master thesis, 2021)Bruken av "svart-boks"-modeller innen maskinlæring skaper problemer for systemer med fokus på sikkerhet. Systemer som nyttegjør seg av dyp forsterkende læring (engelsk: deep reinforcement learning / DRL) designes ofte med ... -
Explaining a deep reinforcement learning docking agent using linear model trees with user adapted visualization
(Peer reviewed; Journal article, 2021)Deep neural networks (DNNs) can be useful within the marine robotics field, but their utility value is restricted by their black-box nature. Explainable artificial intelligence methods attempt to understand how such ... -
Explicit Backstepping Kernel Solutions for Leak Detection in Branched Pipe Flows
(Peer reviewed; Journal article, 2023)