Oskar Gjesdal Veggeland
About
Research topic: Multisensor data fusion and applied machine learning for analysis of arctic sea ice.
Main Supervisor: Associate Professor Ekaterina Kim
Co-Supervisor: Professor Roger Skjetne
Background:
- MSc from Department of Engineering Cybernetics, NTNU (2022). Specialization in autonomous systems.
Research interests: Computer vision, inertial navigation, nonlinear state estimation, sensor fusion
Research
The PhD task is part of a larger research project, DIGITAL SEAICE, which has the goal of building an infrastructure to monitor and predict ice conditions in the arctic. At the moment, satelite data is used for this purpose, but this has the drawbacks of yielding (relatively) low resolution measurements at large time intervals. Motivated by this, it is desired to integrate local observations from research vessels into the global estimation. Obtaining these local measurements is my main task.
The method for doing this is based on recent advances in sea ice segmentation on camera images using deep learning techniques. Using these segmented images, I will investigate how classical estimation techniques can be applied to retrieve different ice-parameters such as location, drift and thickness. Other sensors (radar/lidar) will also be investigated to yield a more robust estimator in times of degregaded visual conditions such as fog or at night time.
Publications
2025
-
Veggeland, Oskar Gjesdal;
Kim, Ekaterina;
Skjetne, Roger.
(2025)
An Autonomous System for Multimodal Mapping of Sea Ice Fields from Ships.
IEEE Sensors Journal
Academic article
-
Halleraker Vihovde, Anna;
Veggeland, Oskar Gjesdal;
Kim, Ekaterina;
Skjetne, Roger.
(2025)
Mapping and Parametric Estimation of Sea Ice
using a Shipborne Camera-LiDAR system.
NTNU
Masters thesis
2024
-
Norfleet, Cole;
Veggeland, Oskar Gjesdal;
Kim, Ekaterina;
Campos da Silveira, Maria Margarida.
(2024)
Autonomous Labelling and Supervised Learning of a Deep
Neural Network for Sea Ice Segmentation: A Proof-of-Concept Study in Image Segmentation using LiDAR Information.
NTNU
Masters thesis
-
Pliss, Alexandra;
Hansen, Renee Mie Fredensborg;
Høyland, Knut Vilhelm;
Katlein, Christian;
Veggeland, Oskar Gjesdal;
Panchi, Nabil.
(2024)
Geometry, Morphology and Physical Properties of Ice Ridges During the Transition Period from First-Year to Second-Year in the Gonorth Expedition 2023.
The International Association for Hydro-Environment Engineering and Research (IAHR)
Academic chapter/article/Conference paper
-
Veggeland, Oskar Gjesdal;
Kim, Ekaterina;
Skjetne, Roger.
(2024)
A Probabilistic Approach to Correct for Oblique Biases in Sea Ice Parametrization from Shipborne Cameras.
Journal of Physics: Conference Series (JPCS)
Academic article
-
Veggeland, Oskar Gjesdal;
Kim, Ekaterina;
Skjetne, Roger.
(2024)
Multi Modal Mapping of Sea Ice Fields From Remote Shipborne Instrumentation.
The American Society of Mechanical Engineers (ASME)
Academic chapter/article/Conference paper
Journal publications
-
Veggeland, Oskar Gjesdal;
Kim, Ekaterina;
Skjetne, Roger.
(2025)
An Autonomous System for Multimodal Mapping of Sea Ice Fields from Ships.
IEEE Sensors Journal
Academic article
-
Veggeland, Oskar Gjesdal;
Kim, Ekaterina;
Skjetne, Roger.
(2024)
A Probabilistic Approach to Correct for Oblique Biases in Sea Ice Parametrization from Shipborne Cameras.
Journal of Physics: Conference Series (JPCS)
Academic article
Part of book/report
-
Pliss, Alexandra;
Hansen, Renee Mie Fredensborg;
Høyland, Knut Vilhelm;
Katlein, Christian;
Veggeland, Oskar Gjesdal;
Panchi, Nabil.
(2024)
Geometry, Morphology and Physical Properties of Ice Ridges During the Transition Period from First-Year to Second-Year in the Gonorth Expedition 2023.
The International Association for Hydro-Environment Engineering and Research (IAHR)
Academic chapter/article/Conference paper
-
Veggeland, Oskar Gjesdal;
Kim, Ekaterina;
Skjetne, Roger.
(2024)
Multi Modal Mapping of Sea Ice Fields From Remote Shipborne Instrumentation.
The American Society of Mechanical Engineers (ASME)
Academic chapter/article/Conference paper
Report
-
Halleraker Vihovde, Anna;
Veggeland, Oskar Gjesdal;
Kim, Ekaterina;
Skjetne, Roger.
(2025)
Mapping and Parametric Estimation of Sea Ice
using a Shipborne Camera-LiDAR system.
NTNU
Masters thesis
-
Norfleet, Cole;
Veggeland, Oskar Gjesdal;
Kim, Ekaterina;
Campos da Silveira, Maria Margarida.
(2024)
Autonomous Labelling and Supervised Learning of a Deep
Neural Network for Sea Ice Segmentation: A Proof-of-Concept Study in Image Segmentation using LiDAR Information.
NTNU
Masters thesis
Outreach
2024
-
Academic lecturePanchi, Nabil; Veggeland, Oskar Gjesdal. (2024) Sea-ice related investigations. GoNorth Organizing Committee GoNorth 2023 Seminar , Tullins gate 2, 0166 Oslo 2024-03-14 - 2024-03-14
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Academic lectureVeggeland, Oskar Gjesdal; Khan, Md Ashiqul Alam. (2024) Automated sea ice analysis. Norce GoNorth 2024 Seminar , Longyearbyen 2024-08-28 - 2024-08-28
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Academic lectureVeggeland, Oskar Gjesdal. (2024) An Autonomous System for Multimodal Ice Field Mapping from Ships. Jiao Tong University DigitalSeaIce workshop , Shanghai 2024-11-11 - 2024-11-13
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Academic lectureKvanum, Are Frode Helvig; Panchi, Nabil; Veggeland, Oskar Gjesdal; Zhou, Jiaru; Zhang, Yuan; Tsarau, Andrei. (2024) Multiscale and integrated sea ice observations and prediction models: the Norway − China collaboration initiative Digital Sea Ice. International Symposium on Polar Environment Monitoring and Public Governance 2024-10-25 - 2024-10-27
2023
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Academic lectureVeggeland, Oskar Gjesdal. (2023) Sea Ice Mapping from Shipborne LiDAR. NTNU/IMT DigitalSeaIce digital workshop fall 2023 , Trondheim/Online 2023-12-11 - 2023-12-12
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Academic lectureVeggeland, Oskar Gjesdal. (2023) Camera and LiDAR Fusion for Local Sea Ice Analysis. NTNU/IMT DigitalSeaIce digital workshop spring 2023 , Trondheim 2023-05-23 - 2023-05-24