Background and activities

Annette Stahl is an Associate 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

Postdoctoral fellows:

  • Aya Saad funded by the Research Council of Norway (FRINATEK/IKTPLUSS)

 

PhD-candidates:

       Main supervisor:

      Co-advisor:

  • Andreas Langeland Teigen, Underwater SLAM (AROS), Main supervisor: Rudolf Mester, IDI
  • Andreas Våge, Autonomous Robotic Exploration of PlanktonicTaxa (AILARON), Main supervisor: Anastasios Lekkas
  • 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:

  • 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:

 

Projects

  • 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

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

 

Scientific, academic and artistic work

Displaying a selection of activities. See all publications in the database

Journal publications

Part of book/report

  • Haugo, Simen; Stahl, Annette. (2020) Iterative Closest Point with Minimal Free Space Constraints. Advances in Visual Computing.
  • Haugo, Simen; Stahl, Annette. (2020) Minimal Free Space Constraints for Implicit Distance Bounds. Advances in Visual Computing.
  • Skjellaug, Even; Brekke, Edmund Førland; Stahl, Annette. (2020) Feature-Based Laser Odometry for Autonomous Surface Vehicles utilizing the Point Cloud Library. 2020 IEEE 23rd International Conference on Information Fusion (FUSION).
  • 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. PROCEEDINGS VOLUME 11433 Twelfth International Conference on Machine Vision (ICMV 2019).
  • Dahlin Rodin, Christopher; Stahl, Annette; Johansen, Tor Arne. (2018) Skyline Based Camera Attitude Estimation Using a Digital Surface Model. Proceeding of IEEE 15th International Workshop on Advanced Motion Control (AMC2018).
  • Leonardi, Marco; Stahl, Annette. (2018) Convolutional Autoencoder aided loop closure detection for monocular SLAM. 11th IFAC Conference on Control Applications in Marine Systems, Robotics, and Vehicles CAMS 2018 Opatija, Croatia, 10–12 September 2018.
  • Leonardi, Marco; Stahl, Annette. (2017) Vision based obstacle avoidance and motion tracking for autonomous behaviors in underwater vehicles. Proceedings of the IEEE OCEANS 2017.
  • Duda, Alexander; Schwendner, Jakob; Stahl, Annette; Rundtop, Per. (2015) Visual pose estimation for autonomous inspection of fish pens. OCEANS 2015 - Genova.
  • Stahl, Annette; Aamo, Ole Morten. (2011) A new Framework for Motion Estimation in Image Sequences using Optimal Flow Control. Informatics in Control, Automation and Robotics Revised and Selected Papers from the International Conference on Informatics in Control, Automation and Robotics 2010.
  • Stahl, Annette; Kvamsdal, Trond. (2011) B-Spline Approximation for Visualisation of Isogeometric Analysis Results. MekIT'11: Sixth National Conference on Computational Mechanics, Trondheim 23-24 May 2011.
  • Stahl, Annette; Aamo, Ole Morten. (2010) Image motion estimation using optimal flow control. Proceedings of the 7th International Conference on Informatics in Control, Automation and Robotics; Volume 3.

Report/dissertation

Others

  • Leonardi, Marco; Stahl, Annette. (2018) Convolution Autoencoder aided loop closure detection for monocular SLAM. IFAC CAMS 2018 ; 2018-09-10 - 2018-09-12.
  • 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.
  • Bloecher, Nina; Føre, Martin; Frank, Kevin; Svendsen, Eirik; Schellewald, Christian; Sunde, Leif Magne; Alfredsen, Jo Arve; Stahl, Annette. (2017) Acoustic telemetry and computer vision methods for monitoring and documenting farmed fish behaviour during delousing operations. Aquaculture Europe 2017 . European Aquaculture Society; Dubrovnik. 2017-10-17 - 2017-10-20.
  • 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.
  • 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.
  • Frank, Kevin; Rundtop, Per; Lien, Andreas Myskja; Stahl, Annette; Malm, Morten; Tjølsen, Jan Inge. (2016) Infrastruktur og system for økt fôringskontroll i store merder. Programkonferansen HAVBRUK 2016 . Norges Forskningsråd; Bodø. 2016-04-18 - 2016-04-20.
  • Jovanovic, Vedran; Babic, Zdenka; Risojevic, Vladimir; Svendsen, Eirik; Stahl, Annette. (2016) Splash Detection in Surveillance Videos of Offshore Fish Production Plants. International Conference on Systems, Signals and Image Processing (IWSSIP) 2016 Bratislava . Faculty of Electrical Engineering and Information Tech.; Bratislava. 2016-05-23 - 2016-05-25.
  • Rundtop, Per; Stahl, Annette. (2016) Utvikling av semi-autonom ROV for notinspeksjon. Programkonferansen HAVBRUK 2016 . Norges Forskningsråd; Bodø. 2016-04-18 - 2016-04-20.
  • 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.
  • Stahl, Annette. (2016) Ser sykdom og gir friskere fisk. Teknisk Ukeblad [Tidsskrift]. 2016-11-14.
  • 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.
  • Svendsen, Eirik; Rundtop, Per; Bjelland, Hans Vanhauwaert; Stahl, Annette; Frank, Kevin; Grøtli, Esten Ingar. (2016) Autonomy in aquaculture - Experiences, trends and future opportunities. Conference on Autonomy 2016 . Norsk Forening for Automatisering; Sola/Stavanger. 2016-03-16 - 2016-03-17.
  • Duda, Alexander; Schwendner, Jakob; Stahl, Annette; Rundtop, Per. (2015) Visual Pose Estimation for Autonomous Inspection of Fish Pens. MTS/IEEE OCEANS'15 . IEEE/MTS; Genova. 2015-05-18 - 2015-05-21.
  • 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.
  • Stahl, Annette; Johannessen, Kjetil Andre; Kvamsdal, Trond. (2012) Visualization of Adaptive LR B-Splines in Isogeometric Analysis. ECCOMAS 2012, 6th EUROPEAN CONGRESS ON COMPUTATIONAL METHODS IN APPLIED SCIENCES AND ENGINEERING . University of Vienna,; Vienna. 2012-09-10 - 2012-09-14.
  • Stahl, Annette; Kvamsdal, Trond. (2011) B-Spline Approximation for Visualization of Isogeometric Analysis Results. MekIT’11 Sixth National Conference on Computational Mechanics . NTNU; Trondheim. 2011-05-23 - 2011-05-24.
  • 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.
  • 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.
  • 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.