| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A Constrained Thrust Allocation Algorithm for Remotely Operated Vehicles
|
Baldini, Alessandro
|
|
2018
|
51 |
29 |
p. 250-255
|
artikel
|
| 2 |
Adaptive Optimal Control of Wave Energy Converters
|
Zhan, Siyuan
|
|
2018
|
51 |
29 |
p. 38-43
|
artikel
|
| 3 |
Adaptive Sampling of Ocean Processes Using an AUV with a Gaussian Proxy Model
|
Berget, Gunhild Elisabeth
|
|
2018
|
51 |
29 |
p. 238-243
|
artikel
|
| 4 |
A Dynamic Window-Based Controller for Dynamic Positioning Satisfying Actuator Magnitude Constraints
|
Nørgaard Sørensen, Mikkel Eske
|
|
2018
|
51 |
29 |
p. 140-146
|
artikel
|
| 5 |
A Mobile Manoeuvring Simulation System for Design, Verification and Validation of Marine Automation Systems
|
Schaefer, Robert
|
|
2018
|
51 |
29 |
p. 195-200
|
artikel
|
| 6 |
A Model-Based Speed and Course Controller for High-Speed ASVs
|
Eriksen, Bjørn-Olav H.
|
|
2018
|
51 |
29 |
p. 317-322
|
artikel
|
| 7 |
A Neural Network Approach to Control Allocation of Ships for Dynamic Positioning
|
Skulstad, Robert
|
|
2018
|
51 |
29 |
p. 128-133
|
artikel
|
| 8 |
An Integrated System for Geophysical Navigation of Autonomous Underwater Vehicles. ⋆ ⋆ This research was supported in part by the H2020 EU Marine Robotics Research Infrastructure Network (Project ID 731103) and the FCT Project UID/EAA/5009/2013. The first author was funded by a PhD scholarship from FCT, reference PD/BD/114433/2016.
|
Quintas, João
|
|
2018
|
51 |
29 |
p. 293-298
|
artikel
|
| 9 |
ARSEA: A Virtual Reality Subsea Exploration Assistant ⁎ ⁎ This work is partially supported by Ministry of Economy and Competitiveness under contracts TIN2014-58662-R (AEI,FEDER,UE), DPI2014-57746-C3-2-R (AEI,FEDER,UE), DPI2017-86372-C3-3-R (AEI,FEDER,UE).
|
Bonin-Font, Francisco
|
|
2018
|
51 |
29 |
p. 26-31
|
artikel
|
| 10 |
Articulating Parametric Nonlinearities in Computationally Efficient Hydrodynamic Models
|
Giorgi, Giuseppe
|
|
2018
|
51 |
29 |
p. 56-61
|
artikel
|
| 11 |
A Study on Simple Dynamic Positioning System based on Weather Vaning
|
Mizuno, Naoki
|
|
2018
|
51 |
29 |
p. 134-139
|
artikel
|
| 12 |
Asymmetric Steering Hydrodynamics Identification of a Differential Drive Unmanned Surface Vessel ⁎ ⁎ This research was funded by Flanders Research Foundation
|
Peeters, G.
|
|
2018
|
51 |
29 |
p. 207-212
|
artikel
|
| 13 |
A Thrust Allocation Algorithm considering Dynamic Positioning and Roll Damping Thrust Demands using multi-step Quadratic Programming ⁎ ⁎ The authors want to express their gratitude to the German Federal Ministry of Economics and Technology (BMWi), which has supported this work under grant DP-II (No. 03SX428C)
|
Koschorrek, Philipp
|
|
2018
|
51 |
29 |
p. 438-443
|
artikel
|
| 14 |
A Two Layered Optimal Approach towards Cooperative Motion Planning of Unmanned Surface Vehicles in a Constrained Maritime Environment
|
Bibuli, Marco
|
|
2018
|
51 |
29 |
p. 378-383
|
artikel
|
| 15 |
Autonomous docking and energy sharing between two types of robotic agents
|
Babić, Anja
|
|
2018
|
51 |
29 |
p. 406-411
|
artikel
|
| 16 |
A Validation of Field Test Results for LTE-Maritime
|
Jo, Sung-Woong
|
|
2018
|
51 |
29 |
p. 153-158
|
artikel
|
| 17 |
Bayesian Inference and Prediction of Wave-induced Ship Motion based on Discrete-frequency Model Approximations ⁎ ⁎ This research is supported as part of a collaboration between the Defence Science and Technology (DST) Group, Australian Department of Defence and the Queensland University of Technology.
|
Kennedy, Justin M.
|
|
2018
|
51 |
29 |
p. 104-109
|
artikel
|
| 18 |
Compliant net for AUV retrieval using a UAV
|
Ivanovic, Antun
|
|
2018
|
51 |
29 |
p. 431-437
|
artikel
|
| 19 |
Contents
|
|
|
2018
|
51 |
29 |
p. i-vi
|
artikel
|
| 20 |
Convolutional Autoencoder aided loop closure detection for monocular SLAM ⁎ ⁎ This work was supported by the Norwegian Research Council through the Centre for Autonomous Marine Operations and Systems at NTNU
|
Leonardi, Marco
|
|
2018
|
51 |
29 |
p. 159-164
|
artikel
|
| 21 |
Detection of Parametric Roll Resonance using Bayesian Discrete-Frequency Model Selection ⁎ ⁎ This work has been supported by the Australian Department of Defence through a research agreement with the Maritime Division of the Defence Science and Technology Group.
|
Kennedy, Justin M.
|
|
2018
|
51 |
29 |
p. 444-449
|
artikel
|
| 22 |
Development and Design of a Compact Autonomous Underwater Vehicle: Zeno AUV
|
Gelli, J.
|
|
2018
|
51 |
29 |
p. 20-25
|
artikel
|
| 23 |
Development of a Dynamic Positioning System for the ReVolt Model Ship
|
Alfheim, Henrik Lemcke
|
|
2018
|
51 |
29 |
p. 116-121
|
artikel
|
| 24 |
Development of a Trimaran ASV
|
Silva, Igor S.
|
|
2018
|
51 |
29 |
p. 8-13
|
artikel
|
| 25 |
Development of UUV Platform and its Control Method to Overcome Strong Currents: Simulation and Experimental Studies ⁎ ⁎ Research supported by the project titled ”Development of Underwater Robot Platform and its Control Technology to Overcome up to 3.5knots of Sea Current,” funded by the Ministry of Oceans and Fisheries (MOF) and Korea Institute of Marine Science and Technology Promotion (KIMST), Korea (20160148); Also, partially supported by the project No. 17-CM-RB-16 titled ”Development of Multi-sensor Fusion based AUV’s Terminal Guidance and Docking Technology,” funded by the Agency for Defense Development (ADD) in the Korea.
|
Li, J.H.
|
|
2018
|
51 |
29 |
p. 268-273
|
artikel
|
| 26 |
DVL-aided Navigation Filter for Maritime Applications ⁎ ⁎ This paper results from the joint research project GALILEOnau-tic, which is supported by the German Federal Ministry for Economic Affairs and Energy (grant 50NA1510).
|
Gehrt, J.-J.
|
|
2018
|
51 |
29 |
p. 418-423
|
artikel
|
| 27 |
Dynamic Positioning simulations of a Thrust Allocation Algorithm considering Hydrodynamic Interactions
|
Arditti, Felipe
|
|
2018
|
51 |
29 |
p. 122-127
|
artikel
|
| 28 |
Energy-Optimized Path Planning for Autonomous Ferries
|
Bitar, Glenn
|
|
2018
|
51 |
29 |
p. 389-394
|
artikel
|
| 29 |
Estimation filtering for Deep Water Navigation ⁎ ⁎ This work was funded by NATO Allied Command for Transformation under the work performed under the Project “Maritime Unmanned Systems for ASW” of the STO-CMRE Programme of Work.
|
Costanzi, Riccardo
|
|
2018
|
51 |
29 |
p. 299-304
|
artikel
|
| 30 |
Experimental Testing of a Path Manager for Unmanned Surface Vehicles in Survey Missions
|
Iovino, S.
|
|
2018
|
51 |
29 |
p. 226-231
|
artikel
|
| 31 |
Force Actuated Real-Time Hybrid Model Testing of a Moored Vessel: A Case Study Investigating Force Errors ⁎ ⁎ This work was supported by the Research Council of Norway through the Centre of Excellence AMOS, project no. 223254, and through grant No. 254845/O80 ”Real-Time Hybrid Model Testing for Extreme Marine Environments”.
|
Ueland, Einar S.
|
|
2018
|
51 |
29 |
p. 74-79
|
artikel
|
| 32 |
Heuristics pool for hyper-heuristic selection during task allocation in a heterogeneous swarm of marine robots
|
Babić, Anja
|
|
2018
|
51 |
29 |
p. 412-417
|
artikel
|
| 33 |
High-Fidelity Deep-Sea Perception Using Simulation in the Loop ⁎ ⁎ TD, formerly known as Tobias Fromm 0000-0001-6488-8211, AGC 0000-0002-7132-1026 and CAM 0000-0003-1895-987X contributed equally to this work and share first authorship. The research leading to the presented results has received funding from the European Union’s Horizon 2020 Framework Programme (H2020) within the project (ref.: 635491) “Effective dexterous ROV operations in presence of communication latencies (DexROV)”.
|
Doernbach, Tobias
|
|
2018
|
51 |
29 |
p. 32-37
|
artikel
|
| 34 |
High Order Sliding Mode Control and Observation for DP Systems
|
Ianagui, André S.S.
|
|
2018
|
51 |
29 |
p. 110-115
|
artikel
|
| 35 |
Hybrid Collision Avoidance for Autonomous Surface Vehicles
|
Serigstad, Einvald
|
|
2018
|
51 |
29 |
p. 1-7
|
artikel
|
| 36 |
Incorporating Wave Spectrum Information in Real-time Free-surface Elevation Forecasting: Real-sea Experiments
|
Mérigaud, Alexis
|
|
2018
|
51 |
29 |
p. 232-237
|
artikel
|
| 37 |
Input-Constrained Path Following for Autonomous Marine Vehicles with a Global Region of Attraction ⁎ ⁎ This research was supported in part by the Marine UAS project under the Marie Curie Sklodowska grant agreement No 642153, the H2020 EU Marine Robotics Research Infrastructure Network (Project ID 731103), and the FCT Project UID/EEA/5009/2013.
|
Hung, Nguyen T.
|
|
2018
|
51 |
29 |
p. 348-353
|
artikel
|
| 38 |
Input-to-State Stabilization of Differentially Flat Systems ⁎ ⁎ This work was partially supported by JSPS KAKENHI Grant Number 17H03282.
|
Fujii, Yasuhiro
|
|
2018
|
51 |
29 |
p. 256-261
|
artikel
|
| 39 |
Intent inference of ship maneuvering for automatic ship collision avoidance
|
Cho, Yonghoon
|
|
2018
|
51 |
29 |
p. 384-388
|
artikel
|
| 40 |
Internal Model Control for Rudder Roll Stabilisation and Course Keeping of a Surface Marine Craft ⁎ ⁎ This work has been supported by the Australian Department of Defence through a research agreement with the Maritime Division of the Defence Science and Technology Group.
|
Kazantzidou, Christina
|
|
2018
|
51 |
29 |
p. 457-462
|
artikel
|
| 41 |
Modeling and Soft-fault Diagnosis of Underwater Thrusters with Recurrent Neural Networks
|
Nascimento, Samy
|
|
2018
|
51 |
29 |
p. 80-85
|
artikel
|
| 42 |
Modelling and Essential Control of an Oceanographic Monitoring Remotely Operated Underwater Vehicle
|
Rojas, Jorge
|
|
2018
|
51 |
29 |
p. 213-219
|
artikel
|
| 43 |
Model Predictive Control of Marine Vessel Power System by Use of Structure Preserving Model ⁎ ⁎ This work was supported by the Research Council of Norway (RCN) through the Maritime Activities and Offshore Operations (MAROFF) programme, projects 210670 – D2V and 216432 – LEEDS. It was carried out at the NTNU Centre for Autonomous Marine Operations and Systems (AMOS) which is supported by RCN through the Centres of Excellence funding scheme, project 223254 – AMOS.
|
Dahl, Andreas Reason
|
|
2018
|
51 |
29 |
p. 335-340
|
artikel
|
| 44 |
Model Ship Control and Estimation of Full-scale Propeller Torque in Wind and Waves
|
Ueno, Michio
|
|
2018
|
51 |
29 |
p. 201-206
|
artikel
|
| 45 |
Moment-Based Constrained Optimal Control of Wave Energy Converters: Flap-Type Device ⁎ ⁎ This material is based upon works supported by Science Foundation Ireland under Grant no. 13/IA/1886.
|
Faedo, Nicolás
|
|
2018
|
51 |
29 |
p. 50-55
|
artikel
|
| 46 |
Moment-Matching-Based Identification of Wave Energy Converters: the ISWEC Device ⁎ ⁎ This material is based upon works supported by Science Foundation Ireland under Grant no. 13/IA/1886.
|
Faedo, Nicolás
|
|
2018
|
51 |
29 |
p. 189-194
|
artikel
|
| 47 |
Navigational Challenges in Diver-AUV interaction for underwater mapping and intervention missions
|
Djapic, V.
|
|
2018
|
51 |
29 |
p. 366-371
|
artikel
|
| 48 |
Navigation filters for Autonomous Underwater Vehicles during geotechnical surveying experiments ⁎ ⁎ This work was partially supported by the European Union’s Horizon 2020 research and innovation programme under the project WiMUST: Widely scalable Mobile Underwater Sonar Technology grant agreement N°645141 (call H2020 ICT-23-2014 Robotics).
|
De Palma, Daniela
|
|
2018
|
51 |
29 |
p. 171-176
|
artikel
|
| 49 |
On-board sea state estimation method validation based on measured floater motion
|
Sirigu, Sergej Antonello
|
|
2018
|
51 |
29 |
p. 68-73
|
artikel
|
| 50 |
On-Board Voltage Regulation For All-Electric DC Ships ⁎ ⁎ This research is supported by the project ShipDrive: A Novel Methodology for Integrated Modelling, Control, and Optimization of Hybrid Ship Systems (project 13276) of the Netherlands Organisation for Scientific Research (NWO), domain Applied and Engineering Sciences (TTW).
|
Haseltalab, Ali
|
|
2018
|
51 |
29 |
p. 341-347
|
artikel
|
| 51 |
Online wave estimation using vessel motion measurements ⁎ ⁎ This work was supported by the Research Council of Norway through the Centres of Excellence funding scheme, project number 223254 - NTNU AMOS.
|
Brodtkorb, Astrid H.
|
|
2018
|
51 |
29 |
p. 244-249
|
artikel
|
| 52 |
Optimal Energy Management for Hybrid Electric Dynamic Positioning Vessels
|
Dinh, Truong Q.
|
|
2018
|
51 |
29 |
p. 98-103
|
artikel
|
| 53 |
Optimal multiple underwater target localization and tracking using two surface acoustic ranging sensors ⁎ ⁎ The work of the second and third authors was supported in part by the H2020 EU Marine Robotics Research Infrastructure Network (Project ID 731103) and the FCT Project UID/EEA/5009/2013.
|
Moreno-Salinas, D.
|
|
2018
|
51 |
29 |
p. 177-182
|
artikel
|
| 54 |
Parameter Estimation of Wave-Induced Oscillatory Ship Motion for Wave Filtering in Dynamic Positioning ⁎ ⁎ The authors want to express their gratitude to the German Federal Ministry of Economics and Technology (BMWi) which has supported this work under grant DP-II (No. 03SX428C)
|
Hahn, Tobias
|
|
2018
|
51 |
29 |
p. 183-188
|
artikel
|
| 55 |
Parametric Modelling of Interacting Hydrodynamic Forces in Underwater Vehicles Operating in Close Proximity ⁎ ⁎ This work has been supported by the Australian Department of Defence through a research agreement with the Maritime Division of the Defence Science and Technology Group.
|
Perez, Tristan
|
|
2018
|
51 |
29 |
p. 92-97
|
artikel
|
| 56 |
Path planning for an identification mission of an Autonomous Underwater Vehicle in a lemniscate form
|
Barua, Ayushman
|
|
2018
|
51 |
29 |
p. 323-328
|
artikel
|
| 57 |
Path Planning for Marine Vehicles using Bézier Curves
|
Hassani, Vahid
|
|
2018
|
51 |
29 |
p. 305-310
|
artikel
|
| 58 |
Pose Estimation Considering an Uncertainty Model of Stereo Vision for In-Water Ship Hull Inspection
|
Chung, Dongha
|
|
2018
|
51 |
29 |
p. 400-405
|
artikel
|
| 59 |
Position keeping control of an autonomous sailboat
|
Viel, Christophe
|
|
2018
|
51 |
29 |
p. 14-19
|
artikel
|
| 60 |
Practical Experience towards Robust Underwater Navigation
|
Bibuli, Marco
|
|
2018
|
51 |
29 |
p. 281-286
|
artikel
|
| 61 |
Preliminary results of a dynamic modelling approach for underwater multi-hull vehicles ⁎ ⁎ This work was partially supported by the European Union’s Horizon 2020 research and innovation programme under the project ROBUST: Robot subsea exploration technologies, grant agreement N°690416 (call H2020-SC5-2015-one-stage).
|
Ingrosso, Roberta
|
|
2018
|
51 |
29 |
p. 86-91
|
artikel
|
| 62 |
Providing a Robust Aperiodic Transient Process in Motion Control System Unmanned Underwater Vehicle with Interval Parameters 1 1 The reported study is supported by the Ministry of Education and Science of Russian Federation(project #2.3649.2017/PCh)
|
Gayvoronskiy, Sergey An.
|
|
2018
|
51 |
29 |
p. 220-225
|
artikel
|
| 63 |
Roll damping of a surface effect ship with split air cushion
|
Tønnessen, Jonas
|
|
2018
|
51 |
29 |
p. 450-456
|
artikel
|
| 64 |
Selection of Size of Battery for Solar Powered Aircraft
|
Dwivedi, Vijay Shankar
|
|
2018
|
51 |
29 |
p. 424-430
|
artikel
|
| 65 |
Semantic SLAM for an AUV using object recognition from point clouds
|
Himri, K.
|
|
2018
|
51 |
29 |
p. 360-365
|
artikel
|
| 66 |
Semiglobal Exponential Stability of a Counter-Current and Co-Current Guidance Scheme
|
Caharija, Walter
|
|
2018
|
51 |
29 |
p. 274-280
|
artikel
|
| 67 |
Short-term Wave Forecasting using Gaussian Process for Optimal Control of Wave Energy Converters
|
Shi, Shuo
|
|
2018
|
51 |
29 |
p. 44-49
|
artikel
|
| 68 |
Stable Backstepping Control of Marine Vehicles with Actuator Rate Limits and Saturation ⁎ ⁎ This work was sponsored, in part, by the US National Science Foundation (Award #1526016). The author is also with the Dept. Ocean & Mechanical Engineering, Florida Atlantic University, Dania Beach, FL 33004 USA
|
von Ellenrieder, Karl D.
|
|
2018
|
51 |
29 |
p. 262-267
|
artikel
|
| 69 |
Stable, Planar Self Propulsion Using a Hinged Flap
|
Hussein, Ahmed A.
|
|
2018
|
51 |
29 |
p. 395-399
|
artikel
|
| 70 |
Straight-Path Following for Underactuated Marine Vessels using Deep Reinforcement Learning
|
Martinsen, Andreas B.
|
|
2018
|
51 |
29 |
p. 329-334
|
artikel
|
| 71 |
Terrain-Based Localization and Mapping for Autonomous Underwater Vehicles using Particle Filters with Marine Gravity Anomalies
|
Pasnani, Parth
|
|
2018
|
51 |
29 |
p. 354-359
|
artikel
|
| 72 |
Towards Arctic AUV Navigation
|
Salavasidis, Georgios
|
|
2018
|
51 |
29 |
p. 287-292
|
artikel
|
| 73 |
Trajectory tracking for an articulated intervention AUV using a super-twisting algorithm in 6 DOF ⁎ ⁎ This research was funded by the Research Council of Norway through the Centres of Excellence funding scheme, project No. 223254 NTNU AMOS.
|
Borlaug, I.-L.G.
|
|
2018
|
51 |
29 |
p. 311-316
|
artikel
|
| 74 |
Using an Electric Thruster as an Acoustic Transducer
|
Butka, Brian
|
|
2018
|
51 |
29 |
p. 372-377
|
artikel
|
| 75 |
Validation of Underwater Acoustic-based Navigation and Geophysical Mapping with an Autonomous Surface Vehicle
|
Park, Jeonghong
|
|
2018
|
51 |
29 |
p. 165-170
|
artikel
|
| 76 |
Wave Energy Control Systems: Robustness Issues ⁎ ⁎ This work was supported by Science Foundation Ireland under Grant No. SFI/13/IA/1886 and Grant No. 12/RC/2302 for the Marine Renewable Ireland (MaREI) centre.
|
Ringwood, John V.
|
|
2018
|
51 |
29 |
p. 62-67
|
artikel
|
| 77 |
Xiroi ASV: a Modular Autonomous Surface Vehicle to Link Communications ⁎ ⁎ This work is partially supported by Ministry of Economy and Competitiveness under contracts TIN2014-58662-R, DPI2014-57746-C3-2-R and FEDER funds.
|
Martorell-Torres, Antoni
|
|
2018
|
51 |
29 |
p. 147-152
|
artikel
|
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