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- 2024
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Mark
Inferring lane-level topology of signalised intersections from aerial imagery and OpenStreetMap using deep learning
2024) In Master Thesis in Geographical Information Science GISM01 20241(
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)
- 2023
-
Mark
Design of an Industrial Bin Picking Station
(
- Master (Two yrs)
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Mark
Individual Layer Scaling and Redundancy Reduction of Singleshot Multiplane Images for View Synthesis
(
- Master (Two yrs)
-
Mark
Fog detection using an artificial neural network
(
- Master (Two yrs)
-
Mark
Trainable Region of Interest Prediction: Hard Attention Framework for Hardware-Efficient Event-Based Computer Vision Neural Networks on Neuromorphic Processors
(
- Master (Two yrs)
- 2022
-
Mark
Targeted Improvement of a Deep Learning Object Detector Using Synthetic Training Data
(
- Master (Two yrs)
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Mark
Interaction design for automatic tracking of free weight exercises using computer vision and IoT systems
(
- Master (Two yrs)
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Mark
Multi-Camera Multi-Person Tracking Using Reinforcement Learning
(
- Master (Two yrs)
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Mark
Computer vision using biomimicking AI system
(
- Master (One yr)
- 2021
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Mark
Automating Feature-Extraction for Camera Calibration Through Machine Learning and Computer Vision
(
- Master (Two yrs)
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Mark
Evaluation of Real-Time Single-Object Tracking Algorithms in a Non-Stationary Robotic Agent
(
- Master (Two yrs)
-
Mark
Analysing the quality of PlaneRCNN plane parameters using a structure from motion system
(
- Master (Two yrs)
- 2020
-
Mark
Analysing pedestrian movement with the Flowity software
(
- Bach. Degree
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Mark
Semi-Supervised Medical Image Segmentation with Equivariance Regularization
(
- Master (Two yrs)
-
Mark
Global localization of nano drone in an indoor environment
(
- Master (Two yrs)
-
Mark
Segmentation of the Common Carotid Artery from Ultrasound Images using UNet
(
- Master (Two yrs)
- 2019
-
Mark
Exploring Object Detection and Recognition Methods for Automated Book Inventory
(
- Master (Two yrs)
-
Mark
Implementation of an 8-bit Dynamic Fixed-Point Convolutional Neural Network for Human Sign Language Recognition on a Xilinx FPGA Board
(
- Master (Two yrs)
-
Mark
AI-based machine vision for retail self-checkout system
(
- Master (Two yrs)
-
Mark
Detection of Archaeological Sites from Aerial Imagery using Deep Learning
(
- Master (Two yrs)
-
Mark
Latent Space Growing of Generative Adversarial Networks
(
- Master (Two yrs)
- 2018
-
Mark
Adherent Raindrop Detection
(
- Master (Two yrs)
-
Mark
Inflated Multinomial Matching for Anchor-Free Object Detection
(
- Master (Two yrs)
-
Mark
Efficient 2D SLAM for a Mobile Robot with a Downwards Facing Camera
(
- Master (Two yrs)
-
Mark
Estimating Median Visiting Times using Re-identification
(
- Master (Two yrs)
-
Mark
Automatic Position Calibration Between Radar and Camera
(
- Master (Two yrs)
-
Mark
Real-Time Monocular SLAM System Using an Inertial Measurement Unit to Estimate the Metric Scale and Gravity Direction
(
- Master (Two yrs)
- 2017
-
Mark
Deep Learning Methods for Streaming Image Reconstruction in Fixed-camera Settings
(
- Master (Two yrs)
- 2016
-
Mark
Distributing a Neural Network on Axis Cameras
(
- Prof. qual. >4 yrs
-
Mark
Minimum hardware SfM/SLAM for sparse data point mapping of retail stores
(
- Master (Two yrs)
-
Mark
Geometric real-time modeling and scanning using distributed depth sensors
(
- Prof. qual. >4 yrs
- 2015
-
Mark
Überatlas: Robust speed-up of feature-based registration and multi-atlas based segmentation
(
- Master (Two yrs)
-
Mark
Face Verification and Open-Set Identification for Real-Time Video Applications
(
- Master (Two yrs)
-
Mark
Video Stabilization Algorithm from Low Frame Rate Video for Hyperlapse Applications
(
- Master (Two yrs)
- 2014
-
Mark
Self-Playing Labyrinth Game Using Camera and Industrial Control System
(
- Prof. qual. >4 yrs
-
Mark
Automated Segmentation of the Pericardium Using a Feature Based Multi-atlas Approach
(
- Master (Two yrs)
-
Mark
Biometric Identification using Fingerprints and Stereo Face Recognition
2014) In 'Master's Theses in Mathematical Sciences FMA820 20141(
Mathematics (Faculty of Engineering)- Master (Two yrs)
-
Mark
Palette of possibilities: developing digital tools for displaying the uncertainty in the virtual archaeological “reconstruction” of the house V 1,7 (Casa del Torello di Bronzo) in Pompeii
(
- Master (Two yrs)
- 2013
-
Mark
Sensor Fusion for Dynamic Privacy Masking
(
- Master (Two yrs)
- 2012
-
Mark
Interpreting in 3D - Employing 3D modeling in field archaeology from research and public communication perspectives
(
- Master (Two yrs)
- 2010
-
Mark
An Approach to a Complete Recognition Module for Legged Robots in the RoboCup Domain
2010) In Lund : Department of Computer Science, Faculty of Engineering, LTH, Lund University EDA920 20041(
Department of Computer Science- Master (Two yrs)
- 2008
-
Mark
Vision Based Tracker for Dart Catching Robot
(
- Prof. qual. >4 yrs