For machine-vision test-data is often very important for many tasks, especially test-data with known ground-truth. For example when designing new algorithms, testing existing systems and/or performing pre-studies.
With real world hardware it is often difficult to get accurate ground-truth, therefore we propose a thesis on the subject of sensor-simulation. The idea is to use software for photorealistic rendering to simulate one of our sensors to generate realistic sensor-data with known ground-truth.
These simulations might include laser-simulations, lens-effects / systems, material and surface properties and simulating imaging artefacts.
In a second stage of the thesis there will be an opportunity to use the simulated data for practical use, such as algorithm verification / design or investigating it's use in deep learning.
Suggested skills / interests:
Contact:
For more information, contact Jens Edhammer (jens.edhammer@sick.se) and apply below at "ANSÖKAN" before the 6th of December. Please notice: Application must include CV, Cover letter and LADOK (study results including courses).
Ad has been closed and it is no longer possible to apply.
We are the People and Culture team at SICK Linköping. We can answer all your question on recruitment, life at SICK Linköping, student opportunities or and much more.
Charlotte Axelsson
charlotte.axelsson@sick.se
+46 739 2099 50
Fanny Eriksson
fanny.eriksson@sick.se
+46 70 590 66 18
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