Master Theses – Completed

Browse all posts in the Master Theses – Completed category.

2 total

16MAR 2026
Master Theses – Completed
Exploring Multi-View Image Fusion for LiDAR Upsampling
Description Recent advances in autonomous driving perception increasingly rely on multi-view,multi-sensor fusion to recover dense and semantically consistent 3D scene representations.While LiDAR upsampling has been explored, it remains an open problem. Often treated as astandalone task without leveraging complementary visual cues or learning consistent geometricpriors across modalities. This thesis proposes a cross modal transformer framework […]Description Recent advances in autonomous driving perception increasingly rely on multi-view,multi-sensor fusion to recover dense and semantically consistent 3D scene representations.While LiDAR upsampling has been explored, it remains an open problem. Often treated as astandalone task without leveraging complementary visual cues or learning consistent geometricpriors across modalities. This thesis proposes a cross modal transformer framework […]
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16FEB 2026
Master Theses – Completed
Sparse-to-Dense Radar Point Clouds Using Diffusion Models
Description Radar sensors are increasingly valued in autonomous systems due to their low cost, long-range capability, and resilience to adverse weather conditions. However, the sparsity and noise inherent in radar point clouds limit their effectiveness for tasks such as object detection and scene understanding. In contrast, LiDAR sensors produce dense and accurate data, but they […]
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