Annette Stahl

Om

Annette Stahl is a Professor at the Department of Engineering Cybernetics, an Affiliated Scientist of the Centre of Excellence - NTNU AMOS, and a Researcher at the Centre for Research-based Innovation (SFI) AutoShip. She is Head of the Robotc Vision Group and PI of the Research Council of Norway funded AILARON project. She has a PhD in Applied Mathematics - Computer Vision from Heidelberg University, Germany.

Research Interests

Robotic, computer and machine vision
Control theory, robotics, autonomous vehicles
Mathematical image analysis
Motion estimation, variational methods, partial differential equations
Object recognition
Multi-view reconstruction
Visual SLAM
Statistical shape analysis
Machine learning
Virtual reality
Isogeometric analysis, visualization
High perfomance computing

Supervision

PhD-candidates:

Main supervisor:

Trym Nygård , funded by the Research Council of Norway (IKTPLUSS) - AUTOSIGHT
Emil Martens (integrated PhD), funded by the Research Council of Norway - SFI AUTOSHIP
Mauhing Yip, funded by the Research Council of Norway (KPN MAROFF) - AROS project
Michael Ernesto Lopez, funded by the Research Council of Norway (KPN MAROFF) - AUTOSIT project
Jonatan Dyrstad funded by the Research Council of Norway (FRINATEK/IKTPLUSS) - Neodroit project
Trym Haavardsholm funded by FFI
Simen Haugo funded by NTNU
Marco Leonardi funded by NTNU

Co-advisor:

Espen Berntsen Høgstedt, Individual Fish reidentification (CAIGE), Main supervisor: Rudolf Mester, IDI
Nicholas Dalhaug, Extendend Object Tracking exploiting stereo vision (AUTOSIGHT), Main supervisor: Edmund Brekke
Matias Haugum, (AWAS) ,Main supervisor: Tor Arne Johansen
Henrik Dobbe Flemmen (SFI Autoship), Main supervisor: Edmund Brekke
Andreas Langeland Teigen, Underwater SLAM (AROS), Main supervisor: Rudolf Mester, IDI
Torje Nysæther: Vision-based Autonomous Docking and Intervention Operations (ERC CRÈME) Main supervisor: Kristin Y. Pettersen
Andreas Langeland Teigen, Underwater SLAM (AROS), Main supervisor: Rudolf Mester, IDI
Øystein Volden, Real-Time Encryption of Computer Vision Feedback Control Systems for Autonomous Ships Main supervisor: Thor Inge Fossen
Øystein Kaarlsen Helgesen, Sensor Fusion and Situational Awareness for autonomous urban ferries in the Autoferry project: Main supervisor: Edmund Brekke
Lars-Christian Tokle, Sensor fusion for autonomous ferry, Main supervisor: Edmund Brekke

Master students:

2023/2024: 15 Master students
2022/2023: 4 Master students
2021/2022: 9 Master students
2020/2021: 8 Master students
2019/2020: 10 Master students
2018/2019: 13 Master students
2017/2018: 5 Master students
2016/2017: 7 Master students

Alumni:

Joseph Garrett (ERCIM fellow), Postdoctoral fellow
Aya Saad funded by the Research Council of Norway (FRINATEK/IKTPLUSS)

Projects

AUTOSIGHT - Autonomy through stereo vision near the seashore (RCN IKTPLUSS)
AILARON - Autonomous Imaging and Learning Ai RObot identifying plaNkton taxa in-situ, (RCN FRINATEK/IKTPLUSS)
AROS - Autonomous Robots for Ocean Sustainability (RCN IKTPLUSS)
Deteksjon av person i elva basert på infrarød sensor, maskinlæring og automatisk bildebehandling (RFFTRØNDELAG), in collaboration with Zebop AS
SFI AutoShip: Autonomous Ships for Safe and Sustainable Operations (RCN SFI)
AUTOSIT - Autonomous Ships, Intentions and Situational Awareness (RCN KPN MAROFF)
INDISAL - Enabling technology for identification of individual salmon in
commercial fish-cages (RCN HAVBRUK2), In collaboration with SINTEF Ocean
NEODROID Creating a reality-ready robot brain in virtual reality (RCN FRINATEK/IKTPLUSS), in collaboration with SINTEF Ocean
CageReporter Development of technology for autonomous, bio-interactive and high-quality data acquisition in Aquaculture sea cages (RCN IPN), in collaboration with SINTEF Ocean

News

A robotic microplankton sniffer-dog (May 2021)
https://norwegianscitechnews.com/2021/05/a-robotic-microplankton-sniffer-dog/
iLaks article (Oct 2016): Droner ser sykdom på fisk og hull i noter

http://ilaks.no/droner-ser-sykdom-pa-fisk-og-hull-i-noter/

Gemini article (Aug 2016): Robotic Vision helps detect diseases and keep fish healthy

http://gemini.no/en/2016/08/robot-vision-helps-detect-diseases-and-keep-fish-healthy/

https://www.sintef.no/en/latest-news/robot-vision-helps-detect-diseases-and-keep-fish-h/

Gemini article (Aug 2016): Robotsyn oppdager sykdom og gir friskere fisk

http://gemini.no/2016/08/robotsyn-oppdager-sykdom-og-gir-friskere-fisk/

http://sintef.no/siste-nytt/robotsyn-finner-sykdom-og-gir-friskere-fisk/

http://www.abcnyheter.no/livet/2016/08/12/195235012/robotsyn-finner-sykdom-og-gir-friskere-fisk

DN article (July 2016): Robotsyn gir friskere fisk

http://www.dn.no/meninger/debatt/2016/07/21/2120/Teknologi/robotsyn-gir-friskere-fisk

Datasets

The VAROS Synthetic Underwater Data Set: Towards realistic multi-sensor underwater data with ground truth https://www.ntnu.edu/arosvisiongroup/varos

Publikasjoner

2024

Hilmarsen, Henrik; Stahl, Annette; Brekke, Edmund Førland; Mester, Rudolf; Dalhaug, Nicholas; Nygård, Trym Anthonsen. (2024) Maritime Tracking-by-Detection Using Camera and Lidar. Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
Mastergradsoppgave
Larsen, Sindre; Stahl, Annette; Schellewald, Christian; Mester, Rudolf; Høgstedt, Espen Berntzen. (2024) Objective Analysis of Melanin Spots as Welfare Signals in Atlantic Salmon Using AI-Based Computer Vision. Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
Mastergradsoppgave
Fink, Thale Eliassen; Stahl, Annette; Yip, Mau Hing. (2024) Near Real-Time Data Extraction and Georeferencing of the Eelume Robot’s Point Cloud, with Publishing to Custom User Applications. Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
Mastergradsoppgave
Bergholt, Agnes Verne; Haukefær, Anna Aurora; Stahl, Annette. (2024) Towards True Color Correction for Improved Loop Closure in Underwater Visual SLAM. Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
Mastergradsoppgave
Storstein, Fredrikke; Stahl, Annette; Mester, Rudolf. (2024) Design and Implementation of a Motion Simulator for an Autonomous Underwater Agent in Unreal Engine 5. Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
Mastergradsoppgave
Fjorden, Thomas; Stahl, Annette; Schellewald, Christian; Mester, Rudolf; Høgstedt, Espen Berntzen. (2024) AI-driven Analysis: Image based qualification of Scale Loss in Fish using Machine Learning and Computer Vision. Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
Mastergradsoppgave
Wiik, Magnus; Stahl, Annette; Schellewald, Christian; Mester, Rudolf; Høgstedt, Espen Berntzen. (2024) Assessing Re-Identification Capabilities of Salmon Body Parts Using AI-Based Computer Vision Methods. Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
Mastergradsoppgave
Grini, Jon Torgeir; Stahl, Annette; Brekke, Edmund Førland; Mester, Rudolf; Nygård, Trym Anthonsen; Dalhaug, Nicholas. (2024) Bayesian Adaptive Segmentation of Water Surfaces with Reflection Correction. Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
Mastergradsoppgave
Yip, Mau Hing; Stahl, Annette; Schellewald, Christian. (2024) Robust Hole-Detection in Triangular Meshes Irrespective of the Presence of Singular Vertices. Computer-Aided Design
Vitenskapelig artikkel
Diamanti, Eleni; Yip, Mau Hing; Stahl, Annette; Ødegård, Øyvind. (2024) Advancing Data Quality of Marine Archaeological Documentation Using Underwater Robotics: From Simulation Environments to Real-World Scenarios. Journal of Computer Applications in Archaeology
Vitenskapelig artikkel
Nygård, Trym Anthonsen; Dalhaug, Nicholas; Mester, Rudolf; Brekke, Edmund Førland; Stahl, Annette. (2024) Stereo Camera-based Free Space Estimation for Docking in Urban Waters. MIC Journal: Modeling, Identification and Control
Vitenskapelig artikkel
Schellewald, Christian; Saad, Aya; Stahl, Annette. (2024) Mouth Opening Frequency of Salmon from Underwater Video Exploiting Computer Vision. IFAC-PapersOnLine
Vitenskapelig artikkel
Yip, Mau Hing; Schellewald, Christian; Gambin, Timmy; Stahl, Annette. (2024) Active Pose - Autonomous Hole-Filling Techniques for 3D Surface Reconstruction in Underwater Exploration. IFAC-PapersOnLine
Vitenskapelig artikkel
Høgstedt, Espen Berntzen; Schellewald, Christian; Mester, Rudolf; Stahl, Annette. (2024) Automated computer vision based individual salmon (Salmo salar) breathing rate estimation (SaBRE) for improved state observability. Aquaculture
Vitenskapelig artikkel
Teigen, Andreas Langeland; Park, Yeonsoo; Stahl, Annette; Mester, Rudolf. (2024) RGB-D Mapping and Tracking in a Plenoxel Radiance Field. IEEE conference proceedings
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel

2023

Ansari, Sadaf; Desai, Dattesh V.; Saad, Aya; Stahl, Annette. (2023) Implications of single-stage deep learning networks in real-time zooplankton identification. Current Science
Vitenskapelig artikkel
Martens, Emil Ludvig; Stahl, Annette; Brekke, Edmund Førland; Mester, Rudolf. (2023) Paving the Way for Enhanced Situational Awareness in the Maritime Domain: Designing and Assembling a Sensor Rig for Multi-Sensor Data Set Acquisition. Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
Mastergradsoppgave
Kwizera, Fred; Stahl, Annette. (2023) Deep Learning based plankton Classification. Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
Mastergradsoppgave
Semb, Helene; Stahl, Annette. (2023) Optimizing Mask R-CNN network for damage detection on infrastructure. Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
Mastergradsoppgave
Strandenes, Kevin; Stahl, Annette. (2023) Development of a machine vision-based stabilization and positioning system for autonomous underwater vehicles. Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
Mastergradsoppgave
Høgstedt, Espen Berntzen; Stahl, Annette; Schellewald, Christian. (2023) Developing a deep learning pipeline for automated salmon welfare analysis by respiration frequency. Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
Mastergradsoppgave
Dyrstad, Jonatan Sjølund; Stahl, Annette; Mathiassen, John Reidar Bartle. (2023) Robot learning with visual processing in arbitrarily sized, high resolution volumes . Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
Doktorgradsavhandling
Helgesen, Øystein Kaarstad; Thyri, Emil Hjelseth; Brekke, Edmund Førland; Stahl, Annette; Breivik, Morten. (2023) Experimental validation of camera-based maritime collision avoidance for autonomous urban passenger ferries. MIC Journal: Modeling, Identification and Control
Vitenskapelig artikkel
Lopez, Michael Ernesto; Brekke, Edmund Førland; Mester, Rudolf; Stahl, Annette. (2023) Multiscan Shape Estimation for Extended Object Tracking. IEEE (Institute of Electrical and Electronics Engineers)
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Helgesen, Øystein Kaarstad; Brekke, Edmund Førland; Stahl, Annette. (2023) Multi-Sensor Tracking for Autonomous Surface Vehicles. Doctoral theses at NTNU (84)
Doktorgradsavhandling
Williamson, David Roddan; Moreira Fragoso, Glaucia; Majaneva, Sanna Kristiina; Dallolio, Alberto; Halvorsen, Daniel Ørnes; Hasler, Oliver Kevin. (2023) Monitoring Algal Blooms with Complementary Sensors on Multiple Spatial and Temporal Scales. Oceanography
Vitenskapelig artikkel
Volden, Øystein; Stahl, Annette; Fossen, Thor I.. (2023) Development and Experimental Validation of Visual-Inertial Navigation for Auto-Docking of Unmanned Surface Vehicles. IEEE Access
Vitenskapelig artikkel
Leonardi, Marco; Stahl, Annette; Brekke, Edmund Førland; Ludvigsen, Martin. (2023) Designing and Improving Techniques for Underwater Visual SLAM and Obstacle Avoidance. NTNU
Doktorgradsavhandling
Helgesen, Øystein Kaarstad; Stahl, Annette; Brekke, Edmund Førland. (2023) Maritime Tracking with Georeferenced Multi-Camera Fusion. IEEE Access
Vitenskapelig artikkel
Leonardi, Marco; Stahl, Annette; Brekke, Edmund Førland; Ludvigsen, Martin. (2023) UVS: underwater visual SLAM—a robust monocular visual SLAM system for lifelong underwater operations. Autonomous Robots
Vitenskapelig artikkel
Flemmen, Henrik Dobbe; Mester, Rudolf; Stahl, Annette; Bryne, Torleiv Håland; Brekke, Edmund Førland. (2023) Maritime radar odometry inspired by visual odometry. IEEE (Institute of Electrical and Electronics Engineers)
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel

2022

Borgersen, Jonas Nagell; Saad, Aya; Stahl, Annette. (2022) MOG: a background extraction approach for data augmentation of time-series images in deep learning segmentation. Proceedings of SPIE, the International Society for Optical Engineering
Vitenskapelig artikkel
Haugo, Simen; Stahl, Annette. (2022) Progressive integration of visibility constraints for implicit functions. Proceedings of SPIE, the International Society for Optical Engineering
Vitenskapelig artikkel
Madshaven, Arild; Schellewald, Christian; Stahl, Annette. (2022) Hole Detection in Aquaculture Net Cages from Video Footage. Proceedings of SPIE, the International Society for Optical Engineering
Vitenskapelig artikkel
Salvesen, Eivind; Saad, Aya; Stahl, Annette. (2022) Robust Deep Unsupervised Learning Framework to Discover Unseen Plankton Species. Proceedings of SPIE, the International Society for Optical Engineering
Vitenskapelig artikkel
Helgesen, Øystein Kaarstad; Vasstein, Kjetil; Brekke, Edmund Førland; Stahl, Annette. (2022) Heterogeneous multi-sensor tracking for an autonomous surface vehicle in a littoral environment. Ocean Engineering
Vitenskapelig artikkel
Stahl, Annette. (2022) Autonomous Robots for Ocean Sustainability (AROS) – Improving the robustness of underwater visual perception systems. NTNU AMOS - Annual Report
Rapport
Stahl, Annette. (2022) Robotic Vision for Aquaculture Monitoring of Structural Integrity and Fish Behavior. NTNU AMOS - Annual Report
Rapport
Schmidt, Magnus Stray; Stahl, Annette; Mester, Rudolf; Yip, Mauhing. (2022) Underwater Incremental Surface Reconstruction from Dynamic 3D Point Clouds. Fakultet for informasjonsteknologi og elektroteknikk, Institutt for teknisk kybernetikk
Mastergradsoppgave
Kolsgaard, Amalie; Stahl, Annette; Brekke, Edmund Førland; Mester, Rudolf. (2022) Improved Maritime Vessel Detection in Camera Images using Bag-of-Visual-Words. Fakultet for informasjonsteknologi og elektroteknikk, Institutt for teknisk kybernetikk
Mastergradsoppgave
Fagerli, Anders Thallaug; Stahl, Annette; Mester, Rudolf; Yip, Mauhing. (2022) Deep Monocular Depth Estimation for Autonomous Underwater Vehicles. Fakultet for informasjonsteknologi og elektroteknikk, Institutt for teknisk kybernetikk
Mastergradsoppgave
Hodne, Lars Martin; Leikvoll, Eirik; Yip, Mauhing; Teigen, Andreas Langeland; Stahl, Annette; Mester, Rudolf. (2022) Detecting and Suppressing Marine Snow for Underwater Visual SLAM. IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Vitenskapelig artikkel
Schellewald, Christian; Stahl, Annette. (2022) Irregularity Detection in Net Pens Exploiting Computer Vision . IFAC-PapersOnLine
Vitenskapelig artikkel
Nygård, Trym Anthonsen; Jahren, Jan Henrik; Schellewald, Christian; Stahl, Annette. (2022) Motion Trajectory Estimation of Salmon Using Stereo Vision. IFAC-PapersOnLine
Vitenskapelig artikkel
Haavardsholm, Trym Vegard; Opsahl, Thomas Olsvik; Skauli, Torbjørn; Stahl, Annette. (2022) Compact multimodal multispectral sensor system for tactical reconnaissance. Proceedings of SPIE, the International Society for Optical Engineering
Vitenskapelig artikkel
Oudijk, Esmée; Hasler, Oliver Kevin; Øveraas, Henning; Marty, Sabine; Williamson, David Roddan; Svendsen, Torbjørn Karl. (2022) Campaign For Hyperspectral Data Validation In North Atlantic Coastal Waters. Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing
Vitenskapelig artikkel

2021

Zwilgmeyer, Peder Georg Olofsson; Yip, Mauhing; Teigen, Andreas Langeland; Mester, Rudolf; Stahl, Annette. (2021) The VAROS Synthetic Underwater Data Set: Towards realistic multi-sensor underwater data with ground truth. IEEE International Conference on Computer Vision (ICCV)
Vitenskapelig artikkel
Borgersen, Jonas; Stahl, Annette; Saad, Aya. (2021) Attention Segmentation Approaches for Plankton Images Captured in-Situ. Fakultet for informasjonsteknologi og elektroteknikk, Institutt for teknisk kybernetikk
Mastergradsoppgave
Schellewald, Christian; Stahl, Annette; Kelasidi, Eleni. (2021) Vision-based pose estimation for autonomous operations in aquacultural fish farms. IFAC-PapersOnLine
Vitenskapelig artikkel
Haug, Martin Lund; Saad, Aya; Stahl, Annette. (2021) CIRAL: a hybrid active learning framework for plankon taxa labeling. IFAC-PapersOnLine
Vitenskapelig artikkel
Haug, Martin Lund; Saad, Aya; Stahl, Annette. (2021) A combined informative and representative active learning approach for plankton taxa labeling. Proceedings of SPIE, the International Society for Optical Engineering
Vitenskapelig artikkel
Volden, Øystein; Stahl, Annette; Fossen, Thor I.. (2021) Vision-based positioning system for auto-docking of unmanned surface vehicles (USVs). International Journal of Intelligent Robotics and Applications (IJIRA)
Vitenskapelig artikkel
Bazilchuk, Nancy Reney; Stahl, Annette; Johnsen, Geir; Saad, Aya; Thu, Maren; Nøland, Annecken. (2021) Sporhunden som lukter mikroalger. . Gemini.no
Populærvitenskapelig artikkel
Haug, Martin; Stahl, Annette; Saad, Aya. (2021) Appling active learning techniques in machine learning to minimize labeling effort. Fakultet for informasjonsteknologi og elektroteknikk, Institutt for teknisk kybernetikk
Mastergradsoppgave
Salvesen, Eivind; Stahl, Annette; Saad, Aya. (2021) Uovervåket metoder for in-situ klassifisering av plankton taxa. Fakultet for informasjonsteknologi og elektroteknikk, Institutt for teknisk kybernetikk, NTNU
Mastergradsoppgave
Teigen, Andreas Langeland; Saad, Aya; Stahl, Annette; Mester, Rudolf. (2021) Few-Shot Open World Learner. IFAC-PapersOnLine
Vitenskapelig artikkel
Helgesen, Øystein Kaarstad; Brekke, Edmund Førland; Stahl, Annette; Engelhardtsen, Øystein. (2021) Low Altitude Georeferencing for Imaging Sensors in Maritime Tracking. IFAC-PapersOnLine
Vitenskapelig artikkel
Leonardi, Marco; Fiori, Luca; Stahl, Annette. (2021) Deep learning based keypoint rejection system for underwater visual ego-motion estimation. IFAC-PapersOnLine
Vitenskapelig artikkel
Saad, Aya; Bergum, Sondre Aleksander; Stahl, Annette. (2021) An instance segmentation framework for in-situ plankton taxa assessment. Proceedings of SPIE, the International Society for Optical Engineering
Vitenskapelig artikkel

2020

Skjellaug, Even; Brekke, Edmund Førland; Stahl, Annette. (2020) Feature-Based Laser Odometry for Autonomous Surface Vehicles utilizing the Point Cloud Library. IEEE (Institute of Electrical and Electronics Engineers)
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Bergum, Sondre; Saad, Aya; Stahl, Annette. (2020) Automatic in-situ instance and semantic segmentation of planktonic organisms using Mask R-CNN (Extended abstract). OCEANS
Sammendrag/abstract
Teigen, Andreas; Saad, Aya; Stahl, Annette. (2020) Leveraging Similarity Metrics to In-Situ Discover Planktonic Interspecies Variations or Mutations. OCEANS
Vitenskapelig artikkel
Salvesen, Eivind; Saad, Aya; Stahl, Annette. (2020) Robust methods of unsupervised clustering to discover new planktonic species in-situ - extended abstract. OCEANS
Sammendrag/abstract
Salvesen, Eivind; Saad, Aya; Stahl, Annette. (2020) Robust methods of unsupervised clustering to discover new planktonic species in-situ. OCEANS
Vitenskapelig artikkel
Bergum, Sondre; Saad, Aya; Stahl, Annette. (2020) Automatic in-situ instance and semantic segmentation of planktonic organisms using Mask R-CNN. OCEANS
Vitenskapelig artikkel
Teigen, Andreas; Saad, Aya; Stahl, Annette. (2020) Leveraging Similarity Metrics to In-Situ Discover Planktonic Interspecies Variations or Mutations - extended abstract. OCEANS
Sammendrag/abstract
Haavardsholm, Trym Vegard; Skauli, Torbjørn; Stahl, Annette. (2020) Multimodal Multispectral Imaging System for Small UAVs. IEEE Robotics and Automation Letters
Vitenskapelig artikkel
Fondevik, Simen Keiland; Stahl, Annette; Transeth, Aksel Andreas; Knudsen, Ole Øystein. (2020) Image Segmentation of Corrosion Damages in Industrial Inspections. Proceedings - International Conference on Tools with Artificial Intelligence (ICTAI)
Vitenskapelig artikkel
Teigen, Andreas; Stahl, Annette; Saad, Aya. (2020) Few-shot open world learning. Fakultet for informasjonsteknologi og elektroteknikk, Institutt for teknisk kybernetikk
Mastergradsoppgave
Bergum, Sondre; Stahl, Annette; Saad, Aya. (2020) Objektdeteksjon og instansiertsegmentering av planktoniske organismer ved bruk av Mask R-CNN for sanntids in-situ bildebehandling. Fakultet for informasjonsteknologi og elektroteknikk, Institutt for teknisk kybernetikk
Mastergradsoppgave
Oda, Kiese; Stahl, Annette; Saad, Aya. (2020) Maskinlæringsmetoder som løser problemet med klasse-ubalanse for datasett av planktoniske organismer. Fakultet for informasjonsteknologi og elektroteknikk, Institutt for teknisk kybernetikk
Mastergradsoppgave
Haugo, Simen; Stahl, Annette. (2020) Iterative Closest Point with Minimal Free Space Constraints. Springer Nature
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Haugo, Simen; Stahl, Annette. (2020) Minimal Free Space Constraints for Implicit Distance Bounds. Springer Nature
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Saad, Aya; Stahl, Annette; Våge, Andreas; Davies, Emlyn John; Nordam, Tor; Aberle-Malzahn, Nicole. (2020) Advancing Ocean Observation with an AI-driven Mobile Robotic Explorer. Oceanography
Vitenskapelig artikkel

2019

Henriksen, Marie Bøe; Garrett, Joseph; Prentice, Elizabeth Frances; Stahl, Annette; Johansen, Tor Arne; Sigernes, Fred. (2019) Real-time Corrections for a Low-cost Hyperspectral Instrument . Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing
Vitenskapelig artikkel
Holm, Egil; Transeth, Aksel Andreas; Knudsen, Ole Øystein; Stahl, Annette. (2019) Classification of corrosion and coating damages on bridge constructions from images using convolutional neural networks. SPIE - The International Society for Optics and Photonics
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Lien, Andreas Myskja; Schellewald, Christian; Stahl, Annette; Frank, Kevin; Skøien, Kristoffer Rist; Tjølsen, Jan Inge. (2019) Determining spatial feed distribution in sea cage aquaculture using an aerial camera platform. Aquacultural Engineering
Vitenskapelig oversiktsartikkel/review

2018

Dyrstad, Jonatan Sjølund; Øye, Elling Ruud; Stahl, Annette; Mathiassen, John Reidar Bartle. (2018) Teaching a robot to grasp real fish by imitation learning from a human supervisor in virtual reality. Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Vitenskapelig artikkel
Leonardi, Marco; Stahl, Annette. (2018) Convolutional Autoencoder aided loop closure detection for monocular SLAM . Elsevier
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Dahlin Rodin, Christopher; Stahl, Annette; Johansen, Tor Arne. (2018) Skyline Based Camera Attitude Estimation Using a Digital Surface Model. IEEE conference proceedings
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel

2017

Føre, Martin; Frank, Kevin; Norton, Tomas; Svendsen, Eirik; Alfredsen, Jo Arve; Dempster, Timothy David. (2017) Precision fish farming: A new framework to improve production in aquaculture. Biosystems Engineering
Vitenskapelig artikkel
Volent, Zsolt; Birkevold, Jens; Stahl, Annette; Lien, Andreas Myskja; Sunde, Leif Magne; Lader, Pål Furset. (2017) Experimental study of installation procedure and volume estimation of tarpaulin for chemical treatment of fish in floating cages. Aquacultural Engineering
Vitenskapelig artikkel
Føre, Martin; Svendsen, Eirik; Frank, Kevin; Schellewald, Christian; Sunde, Leif Magne; Stahl, Annette. (2017) LAKSIT:Telemetri og maskinsyn for overvåkning og dokumentasjon av fiskevelferd i avlusningsprosesser. Norsk Fiskeoppdrett
Populærvitenskapelig artikkel
Føre, Martin; Frank, Kevin; Svendsen, Eirik; Schellewald, Christian; Sunde, Leif Magne; Alfredsen, Jo Arve. (2017) Telemetri og maskinsyn for overvåking av trender i tilstander hos laks før, under og etter avlusning Prosjektrapport for prosjektet "Teknologi for nye datatyper og informasjon som beskriver situasjon og tilstand hos laksefisk i kommersielle merder (LAKSIT)" FHF Pnr. 901184. SINTEF Ocean AS
Rapport
Leonardi, Marco; Stahl, Annette. (2017) Vision based obstacle avoidance and motion tracking for autonomous behaviors in underwater vehicles. IEEE conference proceedings
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel

2016

Jovanović, Vedran; Risojević, Vladimir; Babić, Zdenka; Svendsen, Eirik; Stahl, Annette. (2016) Splash detection in surveillance videos of offshore fish production plants. International Conference on Systems, Signals, and Image Processing
Vitenskapelig artikkel
Stahl, Annette. (2016) Robotsyn gir friskere fisk. Dagens næringsliv
Populærvitenskapelig artikkel
Stahl, Annette. (2016) Robotsyn finner sykdom og gir friskere fisk. Gemini
Populærvitenskapelig artikkel
Stahl, Annette. (2016) Ser sykdom og gir friskere fisk. Teknisk Ukeblad
Populærvitenskapelig artikkel
Stahl, Annette. (2016) Robot vision helps detect diseases and keep fish healthy. Gemini (English edition)
Populærvitenskapelig artikkel
Stahl, Annette. (2016) Droner ser sykdom på fisk og hull i nøter. iLaks.no
Populærvitenskapelig artikkel
Stahl, Annette. (2016) Ser sykdom og gir friskere fisk. Automatisering
Populærvitenskapelig artikkel
Stahl, Annette; Kvamsdal, Trond; Schellewald, Christian. (2016) Post-processing and visualization techniques for isogeometric analysis results. Computer Methods in Applied Mechanics and Engineering
Vitenskapelig artikkel

2015

Volent, Zsolt; Birkevold, Jens; Stahl, Annette; Lien, Andreas Myskja; Sunde, Leif Magne. (2015) Modellforsøk med dukbasert avlusing. Beskrivelse av gjennomføringen og resultater fra modellforsøk i Hirtshals, juni 2014 for FHF. SINTEF Fiskeri og Havbruk
Rapport
Duda, Alexander; Schwendner, Jakob; Stahl, Annette; Rundtop, Per. (2015) Visual pose estimation for autonomous inspection of fish pens. IEEE conference proceedings
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel

2014

Volent, Zsolt; Birkevold, Jens; Stahl, Annette. (2014) Modellforsøk med dukbasert avlusing Beskrivelse av gjennomføringen av modellforsøk i Hirtshals - Foreløpig rapport. SINTEF Fiskeri og havbruk
Rapport

2012

Stahl, Annette; Schellewald, Christian; Stavdahl, Øyvind; Aamo, Ole Morten; Adde, Lars; Kirkerød, Harald. (2012) An Optical Flow-Based Method to Predict Infantile Cerebral Palsy. IEEE transactions on neural systems and rehabilitation engineering
Vitenskapelig artikkel

2011

Stahl, Annette; Aamo, Ole Morten. (2011) A new Framework for Motion Estimation in Image Sequences using Optimal Flow Control. Springer
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Stahl, Annette; Kvamsdal, Trond. (2011) B-Spline Approximation for Visualisation of Isogeometric Analysis Results. Tapir Akademisk Forlag
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel

2010

Stahl, Annette; Aamo, Ole Morten. (2010) Image motion estimation using optimal flow control. Institute for Systems and Technologies of Information, Control and Communication
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel

2009

Stahl, Annette. (2009) PhD-Thesis: Dynamic Variational Motion Estimation and Video Inpainting with Physical Priors. University of Heidelberg - HeiDOK Heidelberger Dokumenten Server
Doktorgradsavhandling

Del av bok/rapport

Teigen, Andreas Langeland; Park, Yeonsoo; Stahl, Annette; Mester, Rudolf. (2024) RGB-D Mapping and Tracking in a Plenoxel Radiance Field. IEEE conference proceedings
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Lopez, Michael Ernesto; Brekke, Edmund Førland; Mester, Rudolf; Stahl, Annette. (2023) Multiscan Shape Estimation for Extended Object Tracking. IEEE (Institute of Electrical and Electronics Engineers)
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Flemmen, Henrik Dobbe; Mester, Rudolf; Stahl, Annette; Bryne, Torleiv Håland; Brekke, Edmund Førland. (2023) Maritime radar odometry inspired by visual odometry. IEEE (Institute of Electrical and Electronics Engineers)
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Skjellaug, Even; Brekke, Edmund Førland; Stahl, Annette. (2020) Feature-Based Laser Odometry for Autonomous Surface Vehicles utilizing the Point Cloud Library. IEEE (Institute of Electrical and Electronics Engineers)
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Haugo, Simen; Stahl, Annette. (2020) Iterative Closest Point with Minimal Free Space Constraints. Springer Nature
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Haugo, Simen; Stahl, Annette. (2020) Minimal Free Space Constraints for Implicit Distance Bounds. Springer Nature
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Holm, Egil; Transeth, Aksel Andreas; Knudsen, Ole Øystein; Stahl, Annette. (2019) Classification of corrosion and coating damages on bridge constructions from images using convolutional neural networks. SPIE - The International Society for Optics and Photonics
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Leonardi, Marco; Stahl, Annette. (2018) Convolutional Autoencoder aided loop closure detection for monocular SLAM . Elsevier
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Dahlin Rodin, Christopher; Stahl, Annette; Johansen, Tor Arne. (2018) Skyline Based Camera Attitude Estimation Using a Digital Surface Model. IEEE conference proceedings
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Leonardi, Marco; Stahl, Annette. (2017) Vision based obstacle avoidance and motion tracking for autonomous behaviors in underwater vehicles. IEEE conference proceedings
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Duda, Alexander; Schwendner, Jakob; Stahl, Annette; Rundtop, Per. (2015) Visual pose estimation for autonomous inspection of fish pens. IEEE conference proceedings
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Stahl, Annette; Aamo, Ole Morten. (2011) A new Framework for Motion Estimation in Image Sequences using Optimal Flow Control. Springer
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Stahl, Annette; Kvamsdal, Trond. (2011) B-Spline Approximation for Visualisation of Isogeometric Analysis Results. Tapir Akademisk Forlag
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Stahl, Annette; Aamo, Ole Morten. (2010) Image motion estimation using optimal flow control. Institute for Systems and Technologies of Information, Control and Communication
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel

Rapport

Hilmarsen, Henrik; Stahl, Annette; Brekke, Edmund Førland; Mester, Rudolf; Dalhaug, Nicholas; Nygård, Trym Anthonsen. (2024) Maritime Tracking-by-Detection Using Camera and Lidar. Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
Mastergradsoppgave
Larsen, Sindre; Stahl, Annette; Schellewald, Christian; Mester, Rudolf; Høgstedt, Espen Berntzen. (2024) Objective Analysis of Melanin Spots as Welfare Signals in Atlantic Salmon Using AI-Based Computer Vision. Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
Mastergradsoppgave
Fink, Thale Eliassen; Stahl, Annette; Yip, Mau Hing. (2024) Near Real-Time Data Extraction and Georeferencing of the Eelume Robot’s Point Cloud, with Publishing to Custom User Applications. Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
Mastergradsoppgave
Bergholt, Agnes Verne; Haukefær, Anna Aurora; Stahl, Annette. (2024) Towards True Color Correction for Improved Loop Closure in Underwater Visual SLAM. Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
Mastergradsoppgave
Storstein, Fredrikke; Stahl, Annette; Mester, Rudolf. (2024) Design and Implementation of a Motion Simulator for an Autonomous Underwater Agent in Unreal Engine 5. Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
Mastergradsoppgave
Fjorden, Thomas; Stahl, Annette; Schellewald, Christian; Mester, Rudolf; Høgstedt, Espen Berntzen. (2024) AI-driven Analysis: Image based qualification of Scale Loss in Fish using Machine Learning and Computer Vision. Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
Mastergradsoppgave
Wiik, Magnus; Stahl, Annette; Schellewald, Christian; Mester, Rudolf; Høgstedt, Espen Berntzen. (2024) Assessing Re-Identification Capabilities of Salmon Body Parts Using AI-Based Computer Vision Methods. Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
Mastergradsoppgave
Grini, Jon Torgeir; Stahl, Annette; Brekke, Edmund Førland; Mester, Rudolf; Nygård, Trym Anthonsen; Dalhaug, Nicholas. (2024) Bayesian Adaptive Segmentation of Water Surfaces with Reflection Correction. Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
Mastergradsoppgave
Martens, Emil Ludvig; Stahl, Annette; Brekke, Edmund Førland; Mester, Rudolf. (2023) Paving the Way for Enhanced Situational Awareness in the Maritime Domain: Designing and Assembling a Sensor Rig for Multi-Sensor Data Set Acquisition. Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
Mastergradsoppgave
Kwizera, Fred; Stahl, Annette. (2023) Deep Learning based plankton Classification. Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
Mastergradsoppgave
Semb, Helene; Stahl, Annette. (2023) Optimizing Mask R-CNN network for damage detection on infrastructure. Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
Mastergradsoppgave
Strandenes, Kevin; Stahl, Annette. (2023) Development of a machine vision-based stabilization and positioning system for autonomous underwater vehicles. Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
Mastergradsoppgave
Høgstedt, Espen Berntzen; Stahl, Annette; Schellewald, Christian. (2023) Developing a deep learning pipeline for automated salmon welfare analysis by respiration frequency. Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
Mastergradsoppgave
Dyrstad, Jonatan Sjølund; Stahl, Annette; Mathiassen, John Reidar Bartle. (2023) Robot learning with visual processing in arbitrarily sized, high resolution volumes . Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
Doktorgradsavhandling
Helgesen, Øystein Kaarstad; Brekke, Edmund Førland; Stahl, Annette. (2023) Multi-Sensor Tracking for Autonomous Surface Vehicles. Doctoral theses at NTNU (84)
Doktorgradsavhandling
Leonardi, Marco; Stahl, Annette; Brekke, Edmund Førland; Ludvigsen, Martin. (2023) Designing and Improving Techniques for Underwater Visual SLAM and Obstacle Avoidance. NTNU
Doktorgradsavhandling
Stahl, Annette. (2022) Autonomous Robots for Ocean Sustainability (AROS) – Improving the robustness of underwater visual perception systems. NTNU AMOS - Annual Report
Rapport
Stahl, Annette. (2022) Robotic Vision for Aquaculture Monitoring of Structural Integrity and Fish Behavior. NTNU AMOS - Annual Report
Rapport
Schmidt, Magnus Stray; Stahl, Annette; Mester, Rudolf; Yip, Mauhing. (2022) Underwater Incremental Surface Reconstruction from Dynamic 3D Point Clouds. Fakultet for informasjonsteknologi og elektroteknikk, Institutt for teknisk kybernetikk
Mastergradsoppgave
Kolsgaard, Amalie; Stahl, Annette; Brekke, Edmund Førland; Mester, Rudolf. (2022) Improved Maritime Vessel Detection in Camera Images using Bag-of-Visual-Words. Fakultet for informasjonsteknologi og elektroteknikk, Institutt for teknisk kybernetikk
Mastergradsoppgave
Fagerli, Anders Thallaug; Stahl, Annette; Mester, Rudolf; Yip, Mauhing. (2022) Deep Monocular Depth Estimation for Autonomous Underwater Vehicles. Fakultet for informasjonsteknologi og elektroteknikk, Institutt for teknisk kybernetikk
Mastergradsoppgave
Borgersen, Jonas; Stahl, Annette; Saad, Aya. (2021) Attention Segmentation Approaches for Plankton Images Captured in-Situ. Fakultet for informasjonsteknologi og elektroteknikk, Institutt for teknisk kybernetikk
Mastergradsoppgave
Haug, Martin; Stahl, Annette; Saad, Aya. (2021) Appling active learning techniques in machine learning to minimize labeling effort. Fakultet for informasjonsteknologi og elektroteknikk, Institutt for teknisk kybernetikk
Mastergradsoppgave
Salvesen, Eivind; Stahl, Annette; Saad, Aya. (2021) Uovervåket metoder for in-situ klassifisering av plankton taxa. Fakultet for informasjonsteknologi og elektroteknikk, Institutt for teknisk kybernetikk, NTNU
Mastergradsoppgave
Teigen, Andreas; Stahl, Annette; Saad, Aya. (2020) Few-shot open world learning. Fakultet for informasjonsteknologi og elektroteknikk, Institutt for teknisk kybernetikk
Mastergradsoppgave
Bergum, Sondre; Stahl, Annette; Saad, Aya. (2020) Objektdeteksjon og instansiertsegmentering av planktoniske organismer ved bruk av Mask R-CNN for sanntids in-situ bildebehandling. Fakultet for informasjonsteknologi og elektroteknikk, Institutt for teknisk kybernetikk
Mastergradsoppgave
Oda, Kiese; Stahl, Annette; Saad, Aya. (2020) Maskinlæringsmetoder som løser problemet med klasse-ubalanse for datasett av planktoniske organismer. Fakultet for informasjonsteknologi og elektroteknikk, Institutt for teknisk kybernetikk
Mastergradsoppgave
Føre, Martin; Frank, Kevin; Svendsen, Eirik; Schellewald, Christian; Sunde, Leif Magne; Alfredsen, Jo Arve. (2017) Telemetri og maskinsyn for overvåking av trender i tilstander hos laks før, under og etter avlusning Prosjektrapport for prosjektet "Teknologi for nye datatyper og informasjon som beskriver situasjon og tilstand hos laksefisk i kommersielle merder (LAKSIT)" FHF Pnr. 901184. SINTEF Ocean AS
Rapport
Volent, Zsolt; Birkevold, Jens; Stahl, Annette; Lien, Andreas Myskja; Sunde, Leif Magne. (2015) Modellforsøk med dukbasert avlusing. Beskrivelse av gjennomføringen og resultater fra modellforsøk i Hirtshals, juni 2014 for FHF. SINTEF Fiskeri og Havbruk
Rapport
Volent, Zsolt; Birkevold, Jens; Stahl, Annette. (2014) Modellforsøk med dukbasert avlusing Beskrivelse av gjennomføringen av modellforsøk i Hirtshals - Foreløpig rapport. SINTEF Fiskeri og havbruk
Rapport
Stahl, Annette. (2009) PhD-Thesis: Dynamic Variational Motion Estimation and Video Inpainting with Physical Priors. University of Heidelberg - HeiDOK Heidelberger Dokumenten Server
Doktorgradsavhandling
Stahl, Annette. (2003) Master Thesis: Data-dependent Triangulation and Surface Simplification - Staatsexamensarbeit: Datenabhaengige Triangulierung und Oberflaechenvereinfachung. University of Mannheim, Germany
Mastergradsoppgave

Undervisning

Emner

Formidling

2024

Vitenskapelig foredrag

Nygård, Trym Anthonsen; Brekke, Edmund Førland; Mester, Rudolf; Stahl, Annette. (2024) Dynamic Scene Representation for Docking in Urban Waters Using a Stereo Camera. MTEC/ICMASS , Trondheim 2024-10-29 - 2024-10-30
Vitenskapelig foredrag

Lopez, Michael Ernesto; Vasstein, Kjetil; Brekke, Edmund Førland; Mester, Rudolf; Stahl, Annette. (2024) A General Low-Parameter 3D Ship Hull Extent Model for Object Tracking. 27th International Conference on Information Fusion , Venice 2024-07-07 - 2024-07-11
Vitenskapelig foredrag

Teigen, Andreas Langeland; Park, Yikyung; Mester, Rudolf; Stahl, Annette. (2024) RGB-D Mapping and Tracking in a Plenoxel Radiance Field. IEEE Xplore IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) , Waikoloa, Hawaii 2024-01-14 - 2024-01-17
Vitenskapelig foredrag

Schellewald, Christian; Saad, Aya; Stahl, Annette. (2024) Mouth Opening Frequency of Salmon from Underwater Video Exploiting Computer Vision - Presentation. Internation Federation of Automatic Control IFAC Conference on Control Applications in Marine Systems, Robotics and Vehicles (CAMS2024) , Virginia Tech, Blacksberg, Virginia, USA 2024-09-03 - 2024-09-05
Vitenskapelig foredrag

Yip, Mau Hing; Schellewald, Christian; Gambin, Timmy; Stahl, Annette. (2024) Active Pose - Autonomous Hole-Filling Techniques for 3D Surface Reconstruction in Underwater Exploration. 15th IFAC Conference on Control Applications in Marine Systems, Robotics and Vehicles , Blacksburg, Virginia 2024-09-03 - 2024-09-06
Vitenskapelig foredrag

Martens, Emil Ludvig; Brekke, Edmund Førland; Mester, Rudolf; Stahl, Annette. (2024) A Lightweight, Polarization-Camera Equipped Sensor Rig for the Development of Autonomous Surface Vehicles. MTEC/ICMASS , Trondheim 2024-10-29 - 2024-10-30
Vitenskapelig foredrag

Stahl, Annette. (2024) ti. MTEC/ICMASS 2024 Where Industry Meets Academia Trondheim, Norway, 29–30 October 2024 , Trondheim 2024-10-29 - 2024-10-30
Vitenskapelig foredrag

Dalhaug, Nicholas; Stahl, Annette; Mester, Rudolf; Brekke, Edmund Førland. (2024) Combining Short and Wide Baseline Stereo Cameras for Improved Maritime Target Tracking. 27th International Conference on Information Fusion , Venice 2024-07-07 - 2024-07-11
Vitenskapelig foredrag

Hilmarsen, Henrik; Dalhaug, Nicholas; Nygård, Trym Anthonsen; Brekke, Edmund Førland; Mester, Rudolf; Stahl, Annette. (2024) Maritime Tracking-By-Detection with Object Mask Depth Retrieval Through Stereo Vision and Lidar . 27th International Conference on Information Fusion , Venice 2024-07-07 - 2024-07-11
Vitenskapelig foredrag

Grini, Jon Torgeir; Mester, Rudolf; Nygård, Trym Anthonsen; Dalhaug, Nicholas; Brekke, Edmund Førland; Stahl, Annette. (2024) FusedWSS: Water Surface Segmentation Fusing Machine Learning and Geometric Cues. 27th International Conference on Information Fusion , Venice 2024-07-07 - 2024-07-11
Vitenskapelig foredrag

Dalhaug, Nicholas; Nygård, Trym Anthonsen; Stahl, Annette; Mester, Rudolf; Brekke, Edmund Førland. (2024) Advancing Sparse Classical Scene Flow into the Maritime Domain. IFAC CAMS 2024-09-03 - 2024-09-05

2023

Vitenskapelig foredrag

Stahl, Annette. (2023) Autonomy needs Eyes - Vision-based Scene Perception and Interpretation for Autonomous Robots . NTNU AMOS AMOS Day, The Celebration Closing Event of the Center of Excellence NTNU AMOS with national and international guests; Session 3 – Selected Highlights and International Collaboration 2023-06-30 - 2023-06-30
Vitenskapelig foredrag

Lopez, Michael Ernesto; Brekke, Edmund Førland; Mester, Rudolf; Stahl, Annette. (2023) Multiscan Shape Estimation for Extended Object Tracking. Fusion 2023 2023-06-27 - 2023-06-30
Vitenskapelig foredrag

Flemmen, Henrik Dobbe; Mester, Rudolf; Stahl, Annette; Bryne, Torleiv Håland; Brekke, Edmund Førland. (2023) Maritime radar odometry inspired by visual odometry. International Society of Information Fusion (ISIF) 2023 26th International Conference on Information Fusion (FUSION) , Charleston 2023-06-27 - 2023-06-30

2022

Faglig foredrag

Oudijk, Esmée; Hasler, Oliver Kevin; Overaas, H; Marty, Sabine; Williamson, David; Svendsen, T. (2022) Campaign For Hyperspectral Data Validation In North Atlantic Coastal Waters. 2022 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS) 2022-10-13 - 2022-10-16
Vitenskapelig foredrag

Hodne, Lars Martin; Leikvoll, Eirik; Yip, Mauhing; Teigen, Andreas Langeland; Stahl, Annette; Mester, Rudolf. (2022) Detecting and Suppressing Marine Snow for Underwater Visual SLAM. IEEE/CVF Conference on Computer Vision and Pattern Recogniti Fourth Workshop on Image Matching: Local Features and Beyond , New Orleans, Louisiana 2022-06-19 - 2022-06-23
Vitenskapelig foredrag

Stahl, Annette. (2022) Keynote: Robotics and vision-based autonomic systems in challenging environments. EIROforum 2022 EIROforum Topical Workshop on Robotics & Remote Operation , Cern 2022-03-01 - 2022-03-03
Vitenskapelig foredrag

Stahl, Annette. (2022) Underwater visual perception for autonomous robots. Norwegian University of Science and Technology EEA Malta-Norway Workshop , Trondheim 2022-10-11 - 2022-10-14
Vitenskapelig foredrag

Stahl, Annette. (2022) Robotic Vision - Sensor systems as a basis for a sustainable digitalization. Faculty for Informatio Technology and Electrical Engineering IE-Dagen , Trondheim 2022-06-15 - 2022-06-15
Vitenskapelig foredrag

Stahl, Annette. (2022) Seeing the Unseen: Visual Perception for Autonomous Robots. Norwegian University of Science and Technology AMOS Days , Trondheim 2022-09-09 - 2022-09-09
Vitenskapelig foredrag

Haavardsholm, Trym Vegard; Opsahl, Thomas Olsvik; Skauli, Torbjørn; Stahl, Annette. (2022) Compact multimodal multispectral sensor system for tactical reconnaissance. SPIE SPIE Imaging Spectrometry XXV: Applications, Sensors, and Processing , San Diego 2022-08-22 -
Vitenskapelig foredrag

Schellewald, Christian; Stahl, Annette. (2022) Irregularity Detection in Net Pens Exploiting Computer Vision. International Foundation of Automatic Control 14th IFAC Conference on Control Applications in Marine Systems, Robotics, and Vehicles , DTU Kongens Lyngby 2022-09-14 - 2022-09-16
Vitenskapelig foredrag

Nygård, Trym Anthonsen; Jahren, Jan Henrik; Schellewald, Christian; Stahl, Annette. (2022) Motion Trajectory Estimation of Salmon Using Stereo Vision. International Foundation of Automatic Control 14th IFAC Conference on Control Applications in Marine Systems, Robotics, and Vehicles , DTU Kongens Lyngby 2022-09-22 - 2022-09-24

2021

Vitenskapelig foredrag

Madshaven, Arild; Schellewald, Christian; Stahl, Annette. (2021) Hole Detection in Aquaculture Net Cages from Video Footage. 14th International Conference on Machine Vision - ICMV 2021 , Online Conference - University of Rome 2021-11-08 - 2021-11-12
Vitenskapelig foredrag

Schellewald, Christian; Stahl, Annette; Kelasidi, Eleni. (2021) Vision-Based Net-Pose Estimation for Autonomous Operations in Aquacultural Fish Cages. 13th IFAC Conference on Control Applications in Marine Systems, Robotics, and Vehicles IFAC CAMS , Online Conference - University Oldenburg, Germany 2021-09-22 - 2021-09-24
Vitenskapelig foredrag

Haugo, Simen; Stahl, Annette. (2021) Progressive integration of visibility constraints for implicit functions. 14th International Conference on Machine Vision - ICMV 2021 , Online Conference - University of Rome 2021-11-08 - 2021-11-12
Vitenskapelig foredrag

Caharija, Walter; Dalseg, Esten Solem; Haugaløkken, Bent Oddvar Arnesen; Stahl, Annette. (2021) Echosounder tracking with monocular camera for biomass estimation. Oceans 2021 , San Diego – Porto 2021-09-20 - 2021-09-23
Vitenskapelig foredrag

Borgersen, Jonas; Saad, Aya; Stahl, Annette. (2021) MOG: a background extraction approach for data augmentation of time-series images in deep learning segmentation. The Sapienza University of Rome, Italy 14th International Conference on Machine Vision - ICMV 2021 , Rome 2021-11-08 - 2021-11-12
Vitenskapelig foredrag

Haug, Martin; Saad, Aya; Stahl, Annette. (2021) A combined informative and representative active learning approach for plankton taxa labeling. The Sapienza University of Rome, Italy 14th International Conference on Machine Vision - ICMV 2021 , Rome 2021-11-08 - 2021-11-12
Vitenskapelig foredrag

Salvesen, Eivind; Saad, Aya; Stahl, Annette. (2021) Robust Deep Unsupervised Learning Framework to Discover Unseen Plankton Species. The Sapienza University of Rome, Italy 14th International Conference on Machine Vision , Rome 2021-11-08 - 2021-11-12
Vitenskapelig foredrag

Haug, Martin; Saad, Aya; Stahl, Annette. (2021) CIRAL: a hybrid active learning framework for plankon taxa labeling. International Federation of Automatic Control 13th IFAC Conference on Control Applications in Marine Systems, Robotics, and Vehicles IFAC CAMS , Online Conference - University Oldenburg, Germany 2021-09-22 - 2021-09-24
Vitenskapelig foredrag

Teigen, Andreas Langeland; Saad, Aya; Stahl, Annette; Mester, Rudolf. (2021) Few-Shot Open World Learner. International Federation of Automatic Control 13th IFAC Conference on Control Applications in Marine Systems, Robotics, and Vehicles IFAC CAMS , Online Conference - University Oldenburg, Germany 2021-09-22 - 2021-09-24
Vitenskapelig foredrag

Zwilgmeyer, Peder Georg Olofsson; Yip, Mauhing; Teigen, Andreas Langeland; Mester, Rudolf; Stahl, Annette. (2021) The VAROS Synthetic Underwater Data Set: Towards realistic multi-sensor underwater data with ground truth. ICCV Workshop Computer Vision in the Ocean 2021-10-17 - 2021-10-17

2020

Vitenskapelig foredrag

Oda, Kiese; Saad, Aya; Stahl, Annette. (2020) Towards a Balanced-Labeled-Dataset of Planktons for a Better In-Situ Taxa Identification. AGU, ASLO and TOS Ocean Sciences Meeting 2020 , San Diego, CA 2020-02-16 - 2020-02-21
Poster

Ansari, Sadaf; Saad, Aya; Stahl, Annette; Rajachandran, Madhan. (2020) Vision-based Real-time Zooplankton Detection and Classification using Faster R-CNN. AGU, ASLO and TOS Ocean Sciences Meeting 2020 , San Diego, CA 2020-02-16 - 2020-02-21
Poster

Saad, Aya; Davies, Emlyn John; Stahl, Annette. (2020) Recent Advances in Visual Sensing and Machine Learning Techniques for in-situ Plankton-taxa Classification. AGU, ASLO and TOS Ocean Sciences Meeting 2020 , San Diego, CA 2020-02-16 - 2020-02-21
Vitenskapelig foredrag

Bergum, Sondre; Saad, Aya; Stahl, Annette. (2020) Automatic in-situ instance and semantic segmentation of planktonic organisms using Mask R-CNN. IEEE Oceanic Engineering Society & Marine Technology Society Global OCEANS 2020 , Singapore 2020-10-05 - 2020-10-14
Vitenskapelig foredrag

Stahl, Annette. (2020) Plenary Session: Vision for Robotics. IEEE International Workshop on Advanced Motion Control (AMC2020) 2020-09-14 - 2020-09-16
Poster

Teigen, Andreas; Saad, Aya; Stahl, Annette. (2020) Leveraging Similarity Metrics to In-Situ Discover Planktonic Interspecies Variations or Mutations - Poster. IEEE Oceanic Engineering Society & Marine Technology Society Global OCEANS 2020 , Singapore 2020-10-05 - 2020-10-14
Poster

Salvesen, Eivind; Saad, Aya; Stahl, Annette. (2020) Robust methods of unsupervised clustering to discover new planktonic species in-situ - poster. IEEE Oceanic Engineering Society & Marine Technology Society Global OCEANS 2020 , Singapore 2020-10-05 - 2020-10-14
Vitenskapelig foredrag

Salvesen, Eivind; Saad, Aya; Stahl, Annette. (2020) Robust methods of unsupervised clustering to discover new planktonic species in-situ. IEEE Oceanic Engineering Society & Marine Technology Society Global OCEANS 2020 , Singapore 2020-10-05 - 2020-10-14
Vitenskapelig foredrag

Teigen, Andreas; Saad, Aya; Stahl, Annette. (2020) Leveraging Similarity Metrics to In-Situ Discover Planktonic Interspecies Variations or Mutations. IEEE Oceanic Engineering Society & Marine Technology Society Global OCEANS 2020 , Singapore 2020-10-05 - 2020-10-14
Populærvitenskapelig foredrag

Leonardi, Marco; Fiori, Luca; Stahl, Annette. (2020) Deep learning based keypoint rejection system for underwater visual ego-motion estimation. IFAC World Congress 2020 2020-07-13 - 2020-07-17
Vitenskapelig foredrag

Helgesen, Øystein Kaarstad; Brekke, Edmund Førland; Stahl, Annette; Engelhardtsen, Øystein. (2020) Low Altitude Georeferencing for Imaging Sensors in Maritime Tracking. IFAC 1st Virtual IFAC World Congress , Virtual Conference 2020-07-11 - 2020-07-17
Vitenskapelig foredrag

Fondevik, Simen Keiland; Stahl, Annette; Transeth, Aksel Andreas; Knudsen, Ole Øystein. (2020) Image Segmentation of Corrosion Damages in Industrial Inspections. 32th International Conference on Tools with Artificial Intelligence 2020-11-09 - 2020-11-11
Vitenskapelig foredrag

Saad, Aya; Bergum, Sondre Aleksander; Stahl, Annette. (2020) An instance segmentation framework for in-situ plankton taxa assessment. ICMV2020 The 13th International Conference on Machine Vision , Roma 2020-11-02 - 2020-11-06

2019

Faglig foredrag

Holm, Egil; Transeth, Aksel Andreas; Ole, Knudsen; Stahl, Annette. (2019) Classification of Corrosion and Coating Damages on Bridge Constructions from Images using Convolutional Neural Networks. International Conference on Machine Vision - ICMV 2019-11-16 - 2019-11-18
Vitenskapelig foredrag

Garrett, Joseph; Langer, Dennis D.; Avagian, Karine; Stahl, Annette. (2019) Accuracy of super-resolution for hyperspectral ocean observations. IEEE OCEANS , Marseille 2019-06-17 - 2019-06-20
Vitenskapelig foredrag

Henriksen, Marie Bøe; Garrett, Joseph; Prentice, Elizabeth Frances; Sigernes, Fred; Stahl, Annette; Johansen, Tor Arne. (2019) Real-time Corrections for a Low-cost Hyperspectral Instrument . IEEE WHISPERS , Amsterdam 2019-09-24 - 2019-09-26
Poster

Saad, Aya; Stahl, Annette. (2019) AILARON - Autonomous Imaging and Learning Ai RObot identifying plaNkton taxa in-situ. SINTEF Geilo Winter School 2019: Learning from Data , Geilo 2019-01-20 - 2019-01-25

2018

Faglig foredrag

Leonardi, Marco; Stahl, Annette. (2018) Convolution Autoencoder aided loop closure detection for monocular SLAM. IFAC CAMS 2018 2018-09-10 - 2018-09-12
Vitenskapelig foredrag

Rodin, Christopher D; Stahl, Annette; Johansen, Tor Arne. (2018) Skyline Based Camera Attitude Estimation Using a Digital Surface Model. 15th Int.Workshop on Advanced Motion Control 2018-03-09 - 2018-03-11

2017

Faglig foredrag

Leonardi, Marco; Stahl, Annette; Ludvigsen, Martin; Nornes, Stein Melvær; Gazzea, Michele; Rist-Christensen, Ida. (2017) Vision based obstacle avoidance and motion tracking for autonomous behaviors in underwater vehicles. OCEANS 2017 2017-06-19 - 2017-06-22
Populærvitenskapelig foredrag

Bloecher, Nina; Føre, Martin; Frank, Kevin; Svendsen, Eirik; Schellewald, Christian; Sunde, Leif Magne. (2017) Acoustic telemetry and computer vision methods for monitoring and documenting farmed fish behaviour during delousing operations. European Aquaculture Society Aquaculture Europe 2017 , Dubrovnik 2017-10-17 - 2017-10-20
Poster

Haugo, Simen; Stahl, Annette; Brekke, Edmund Førland. (2017) Continuous Signed Distance Functions for 3D Vision. 2017 International Conference on 3D Vision (3DV) 2017-10-10 - 2017-10-12

2016

Intervju

Stahl, Annette. (2016) Ser sykdom og gir friskere fisk. Teknisk Ukeblad Teknisk Ukeblad [Tidsskrift] 2016-11-14
Vitenskapelig foredrag

Stahl, Annette; Schellewald, Christian; Frank, Kevin; Rundtop, Per; Svendsen, Eirik. (2016) Computer Vision Technology in Aquaculture. Aquaculture Europe 2016 , Edinburgh 2016-09-21 - 2016-09-23
Vitenskapelig foredrag

Rundtop, Per; Stahl, Annette; Frank, Kevin; Svendsen, Eirik; Bjerkeng, Magnus; Grøtli, Esten Ingar. (2016) Underwater vehicle for autonomous net inspection in salmon aquaculture. Arctic Frontiers 2016-01-24 - 2016-01-29
Vitenskapelig foredrag

Svendsen, Eirik; Rundtop, Per; Bjelland, Hans Vanhauwaert; Stahl, Annette; Frank, Kevin; Grøtli, Esten Ingar. (2016) Autonomy in aquaculture - Experiences, trends and future opportunities. Norsk Forening for Automatisering Conference on Autonomy 2016 , Sola/Stavanger 2016-03-16 - 2016-03-17
Vitenskapelig foredrag

Frank, Kevin; Rundtop, Per; Lien, Andreas Myskja; Stahl, Annette; Malm, Morten; Tjølsen, Jan Inge. (2016) Infrastruktur og system for økt fôringskontroll i store merder . Norges Forskningsråd Programkonferansen HAVBRUK 2016 , Bodø 2016-04-18 - 2016-04-20
Vitenskapelig foredrag

Rundtop, Per; Stahl, Annette. (2016) Utvikling av semi-autonom ROV for notinspeksjon . Norges Forskningsråd Programkonferansen HAVBRUK 2016 , Bodø 2016-04-18 - 2016-04-20
Faglig foredrag

Jovanovic, Vedran; Babic, Zdenka; Risojevic, Vladimir; Svendsen, Eirik; Stahl, Annette. (2016) Splash Detection in Surveillance Videos of Offshore Fish Production Plants. Faculty of Electrical Engineering and Information Tech. International Conference on Systems, Signals and Image Processing (IWSSIP) 2016 Bratislava , Bratislava 2016-05-23 - 2016-05-25

2015

Vitenskapelig foredrag

Duda, Alexander; Schwendner, Jakob; Stahl, Annette; Rundtop, Per. (2015) Visual Pose Estimation for Autonomous Inspection of Fish Pens. IEEE/MTS MTS/IEEE OCEANS'15 , Genova 2015-05-18 - 2015-05-21

2013

Vitenskapelig foredrag

Stahl, Annette; Johannessen, Kjetil Andre; Kvamsdal, Trond. (2013) Per-Pixel Accurate Three-dimensional Visualization of adaptive Locally Refined B-Splines in Isogeometric Analysis. Advances in Computational Mechanics (ACM 2013) - A Conference Celebrating the 70th Birthday of Thomas J.R. Hughes , San Diego, California 2013-02-24 - 2013-02-27

2012

Vitenskapelig foredrag

Stahl, Annette; Johannessen, Kjetil Andre; Kvamsdal, Trond. (2012) Visualization of Adaptive LR B-Splines in Isogeometric Analysis. University of Vienna, ECCOMAS 2012, 6th EUROPEAN CONGRESS ON COMPUTATIONAL METHODS IN APPLIED SCIENCES AND ENGINEERING , Vienna 2012-09-10 - 2012-09-14

2011

Vitenskapelig foredrag

Stahl, Annette; Kvamsdal, Trond. (2011) B-Spline Approximation for Visualization of Isogeometric Analysis Results. NTNU MekIT’11 Sixth National Conference on Computational Mechanics , Trondheim 2011-05-23 - 2011-05-24

2010

Vitenskapelig foredrag

Stahl, Annette; Aamo, Ole Morten. (2010) Image motion estimation using optimal flow control. 7th International Conference on Informatics in Control, Automation and Robotics 2010-06-15 - 2010-06-18

2006

Vitenskapelig foredrag

Ruhnau, Paul; Stahl, Annette; Schnoerr, Christoph. (2006) On-Line Variational Estimation of Dynamical Fluid Flows with Physics-Based Spatio-Temporal Regularization. DAGM 2006, 28th Annual Symposium of the German Association for Pattern Recognition , Berlin 2006-09-12 - 2006-09-14
Vitenskapelig foredrag

Stahl, Annette; Ruhnau, Paul; Schnoerr, Christoph. (2006) A Distributed-Parameter Approach to Dynamic Image Motion. 9th European Conference on Computer Vision ECCV 2006, Int. Workshop: Representation and Use of Prior Knowledge in Vision , Graz 2006-05-07 - 2006-05-13

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