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This thesis aims to explore the causal relationships between various factors and outcomes regarding road safety using methods of causal inference. The specific research question to be addressed is: "How would road safety have evolved if there were no mobile phones in cars?“. Based on this question, various causal inference methods are identified, applied and evaluated.
Supervisor: Dr.-Ing. Moritz Lippert
Currently, most perception pipelines include an object centric component which performs 3D object detection, aiming at localizing bounding boxes.
However, there is an alternative, less studied paradigm of free space detection which conversely aims at localizing unoccupied space.
This work aims at applying Probabilistic Segmentation to the free space detection task.
Supervisor: Ken Mori, M.Sc.
Currently, most perception pipelines include an object centric component which performs 3D object detection, aiming at localizing bounding boxes.
However, there is an alternative, less studied paradigm of free space detection which conversely aims at localizing unoccupied space.
This work aims at gaining insights into this free space detection paradigm.
Supervisor: Ken Mori, M.Sc.
