DOI Link

README.md

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 # About
 This code has been produced during while writing my Ph.D. (Dr.-Ing.) thesis at the institut of automatic control, RWTH Aachen University.
 If you find it helpful for your research please cite this:
-> T. Redick, „Bayesian inference for CAD-based pose estimation on depth images for robotic manipulation“, RWTH Aachen University, 2024. doi: 10.18154/RWTH-2024-04533.
+> T. Redick, „Bayesian inference for CAD-based pose estimation on depth images for robotic manipulation“, RWTH Aachen University, 2024. doi: [10.18154/RWTH-2024-04533](https://doi.org/10.18154/RWTH-2024-04533).
 
 # BayesNet.jl
 Minimal implementation of a Bayesian Network which is a directed acyclic graph (DAG) where each variable conditionally depends on a set of parent variables ([Wikpedia](https://en.wikipedia.org/wiki/Bayesian_network)).