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Thesis in Controllable High-Definition Map Generation for Traffic Scenario Simulation
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Aktualität: 21.10.2024
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21.10.2024, Bosch-Gruppe
Renningen
Thesis in Controllable High-Definition Map Generation for Traffic Scenario Simulation
Aufgaben:
During your assignment you will extend HD map generation such that they can be conditioned on external input including natural language.
You will understand and use state-of-the-art language conditioning for diffusion models and apply these techniques to map generation.
Qualifikationen:
Education: Bachelor studies in the field of Computer Science, Machine Learning or comparable
Experience and Knowledge: with Python and deep learning frameworks (PyTorch); experience in autonomous driving research, with diffusion models and using pretrained model repositories (e.g.: hugging face) is a plus
Personality and Working Practice: you work effectively in interdisciplinary teams, contribute ideas and can communicate complex technical concepts clearly and convincingly, furthermore you can analyse complex data quickly
Languages: fluent in English
Berufsfeld
Bundesland
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Thesis in Controllable High-Definition Map Generation for Traffic Scenario Simulation
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