The AIT Business Units “Transportation Infrastructure Technologies” and “Assisted and Autonomous Systems” offer an open Internship position (02/2021 – 05/2021) within the AENEAS project, where identification and classification of Vehicle Restraint Systems (VRS) are targeted. Due to recent availability of open-source scriptable photorealistic rendering solutions (such as Blender), new opportunities have arisen to artificially generate object-specific image data.
During the internship the candidate shall develop a scripted guard rail generation and rendering pipeline from a rich set of geometric parameters. The development shall rely on the Blender Python interface and it shall allow for the generation, rendering and compositing of semi-synthetic image datasets, subsequently used for learning representations of VRS parts. Ultimately, via these learned representations, characteristic guard rail parts such as the beam wave structure, base/post elements shall be recognized with a high accuracy from real images.
Based on our preliminary Blender data generation scripts (handling cameras, textures and illumination variations), the successful candidate shall elaborate a fully parameter-driven rail-guard generation, rendering and compositing pipeline (as a set of Python scripts). During development the candidate will also closely interact with the team performing the corresponding Machine Learning tasks.
Expected qualifications and interests
- Knowledge of Python, basic (preferably advanced) Blender concepts,
- Interested in turning exciting ideas into real Machine Learning based image analysis solutions in a challenging context
Csaba Beleznai, Center for Vision, Automation & Control, Assisted and Autonomous Systems, email@example.com