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- 2024
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Mark
INFRASCOPE
- Master (Two yrs)
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Mark
Structural Geological Model of the Kaunisvaara Mining District, Norrbotten, Sweden
- Master (Two yrs)
- 2023
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Mark
Map generation using a smartphone’s built in localisation and mapping algorithms
(2023) In Master's Theses in Mathematical Sciences FMAM05 20222
Mathematics (Faculty of Engineering)- Master (Two yrs)
- 2022
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Mark
Radar Detection Using Deep Learning
(2022) In Master's Theses in Mathematical Sciences FMAM02 20221
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Pose classification of people using high resolution radar indoor
(2022) In Master's Theses in Mathematical Sciences FMAM05 20221
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
ALS (Airborne Lidar) accuracy: Can potential low data quality of Lidar ground points be modelled/detected based on recorded point cloud characteristics? Case study of 2016 Lidar capture over Auckland, New Zealand
(2022) In Master Thesis in Geographical Information Science GISM01 20212
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)
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Mark
Segmentation, Classification and Tracking of Objects in LiDAR Point Cloud Data Using Deep Learning
(2022) In Master's Theses in Mathematical Sciences FMAM05 20212
Mathematics (Faculty of Engineering)- Master (Two yrs)
- 2020
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Mark
Semantic and Instance Segmentation of Radar Point Clouds using Deep Learning
(2020) In Master's Theses in Mathematical Sciences FMAM05 20201
Mathematics (Faculty of Engineering)- Master (Two yrs)
- 2018
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Mark
Photogrammetric 3d-mapping using low-cost unmanned aerial vehicle - Analysis of accuracy
(2018)
- Bach. Degree
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Mark
Estimating above ground biomass in a Salix plantation using high resolution UAV images
- Master (Two yrs)