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Multi-sensor multi-target tracking using LIDAR and camera in a harbor environment
(Master thesis, 2021)Andelen ulykker på havet som resultat av menneskelige feil er anslått å være mellom 60 og 90%. I situasjoner der mennesker ofte opptrer ulikt gitt samme utgangspunkt har et autonomt fartøy fordelen av å være forutsigbart, ... -
Multi-Sensor Stereoscopic Visual SLAM for Autonomous Automotive and Seaborne Vehicles
(Master thesis, 2021)I denne oppgaven er det utviklet et navigasjonssystem basert på visuell simultan lokalisering og kartlegging (VSLAM), som er i stand til å inkludere målinger fra Inertial Measurement Unit (IMU) og Global Navigation Satellite ... -
Multi-Sensor Tracking for Autonomous Surface Vehicles
(Doctoral theses at NTNU;2023:84, Doctoral thesis, 2023)Maritime autonomy is rapidly gaining interest both in academic and industrial circles. Safe navigation for autonomous surface vehicles requires a robust and reliable tracking system that maintains and estimates the positions ... -
Multi-Task Attention-Based Convolutional Neural Network for SAS Change Detection with Self-Supervised Pre-Training
(Master thesis, 2023)Undervannsminer utgjør en betydelig trussel mot marinefartøyer, og brukes til å styre bevegelse eller hindre passasje gjennom minelagte farvann. Minemottiltak (MCM) har som mål å lokalisere og uskadeliggjøre miner for å ... -
Multi-task learning for virtual flow metering
(Peer reviewed; Journal article, 2021)Virtual flow metering (VFM) is a cost-effective and non-intrusive technology for inferring multiphase flow rates in petroleum assets. Inferences about flow rates are fundamental to decision support systems that operators ... -
Multiaspect power optimization based on induced flow considerations
(Master thesis, 2020)Populariteten av droner har økt voldsomt de siste årene. I motsetning til helikoptre, har droner mange tettsittende rotorer. Disse rotorene påvirker hverandre aerodynamisk, noe som fører til endringer i det induserte tapet. ... -
Multiblock variable influence on orthogonal projections (MB-VIOP) for enhanced interpretation of total, global, local and unique variations in OnPLS models
(Journal article; Peer reviewed, 2021) -
Multibody Flow Networks
(Master thesis, 2022)Produksjonsplanlegging av vannkraft er understøtta av forskjellige beregninger. Mange av beregningsmodellene legger til grunn en modell av et vassdrag. Modellene som brukes av tunnellsystem er ofte lagd med en ... -
Multicopter Attitude Estimation with North-Seeking Capabilities
(Master thesis, 2018)This thesis deals with attitude measurement by fusing sensor information from accelerometers, gyros and position aiding in the form of a pseudorange measurement system, on a multicopter system. This is motivated by multicopter ... -
Multicopter Route Planning and Collision-Avoidance Systems
(Master thesis, 2020) -
Multifidelity computing for coupling full and reduced order models
(Peer reviewed; Journal article, 2021)Hybrid physics-machine learning models are increasingly being used in simulations of transport processes. Many complex multiphysics systems relevant to scientific and engineering applications include multiple spatiotemporal ... -
Multimodal Multispectral Imaging System for Small UAVs
(Peer reviewed; Journal article, 2020)Multispectral imaging is an attractive sensing modality for small unmanned aerial vehicles (UAVs) in numerous applications. The most compact spectral camera architecture is based on spectral filters in the focal plane. ... -
Multiple Model Predictive Control for nonlinear systems based on Self-balanced Multi-model Decomposition
(Peer reviewed; Journal article, 2021)A gap-based measurement of nonlinearity (GMoN) is proposed to set up a criterion for multimodel decomposition (MMD) of nonlinear systems. Then, a self-balanced multimodel decomposition (SBMMD) approach based on GMoN is put ... -
Multirotor pickup of object in the sea
(Master thesis, 2019)Dette prosjektet sikter på å lande en multirotor (UAV) på et lite objekt som flyter i sjøen. Objektet detekteres ved hjelp av et kamera, mens UAV’ens høyde over vannet måles med radar. Ved å triangulere høydeestimatet og ... -
Multiscale modelling of cage effects on the transport of effluents from open aquaculture systems
(Peer reviewed; Journal article, 2020)Most Atlantic salmon mariculture operations use open sea cages for the grow out phase. The ultimate fate and effects of the effluents and the possibilities of disease transfer between fish farms are major concerns for ... -
Multitarget Multisensor Trackingin the Presence of Wakes
(Doktoravhandlinger ved NTNU, 1503-8181; 2010:97, Doctoral thesis, 2010)TARGET tracking is an essential requirement for surveillance and control systems to interpret the environment. This environment may contain multiple targets, and the environmental information may be obtained by multiple ... -
Multitarget Tracking with Multiple Models and Visibility: Derivation and Verification on Maritime Radar Data
(Peer reviewed; Journal article, 2021)In this article, we demonstrate how a variation of the joint integrated probabilistic data association with interacting multiple models and a visibility state can be derived as a special case of the Poisson multi-Bernoulli ... -
Multivariable Super-Twisting Control of Fixed-Wing UAVs
(Master thesis, 2021)I denne oppgaven blir robustheten til flere sliding mode kontroll (SMC)-algoritmer undersøkt ved å implementere dem for en usikker simuleringsmodell av et lite ubemannet fly som opererer i et miljø hvor den er påvirket av ... -
Multivariate Analysis on Preprocessed Time-Frequency Representations of Electrode Voltage Signals from Microelectrode Array Experiments on an in-vitro Dopaminergic Neuronal Culture
(Master thesis, 2018)The Master's thesis presents custom developed Fourier based preprocessing methods as well as results from principal component analysis (PCA) and partial least squares projection to latent structures (PLS) regression on ... -
Multivariate data modelling for de-shadowing of airborne hyperspectral imaging
(Journal article; Peer reviewed, 2017-02)Airborne hyperspectral imaging is a powerful technique for high-resolution classification of large areas of ground, applied today in fields like agriculture and environmental monitoring. Even though many classification ...