Master theses

Every year, we invite Master students from the RMA and other universities to conduct research-oriented theses in our facilities. We welcome motivated students willing to work on all topics related to 3D perception: sensor modelling, sensor fusion, sensor calibration, state estimation, localization and mapping, optimization and data visualization.

Thesis proposals

We will update this section with open thesis proposals soon.

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We encourage students to propose original research topics within the field of 3D perception or directly reach out to us to discuss a new proposal.

Past master theses

De Decker, B.; Simulteaneous Localization and Object Detection, 2019-2020, Royal Military Academy
Beerten, P.; Solving Bundle Adjustment for Multi-Agent SLAM; 2022-2023; Royal Military Academy
Montbailleu, M.; Multi-Agent Path Planning for Full Coverage in Mapping Applications; 2022-2023; Royal Military Academy
Laby, N.; Loosely-coupled LiDAR-visual-inertial odometry; 2023-2024; Royal Military Academy
Van der Vorst, Q.; Visible-Infrared Visual-Inertial odometry; 2023-2024; Royal Military Academy
Adriaens, R.; Multi-Agent SLAM, 2020-2021, Ghent University
Maes, T.; Person Detection in Challenging Conditions with RGB-thermal cameras, 2020-2021, Ghent University
Van Leemput, W.; Monocular visual odometry with dense optical flow, 2020-2021, Ghent University
Antson, L.; Detection and Tracking Using VNIR-SWIR Hyperspectral Imaging Under Hindered Light Conditions, 2021-2022, Ghent University
De Waele, L.; 3D State Estimation and Prediction for Surface Vessels Using Sensor Fusion, Ghent University, 2021-2022
De Cleyn, E.; Direct and Feature-based Stereo-Inertial SLAM, Université Catholique de Louvain, 2024-2025