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Anomaly Detection with World Models for Autonomous Driving

Informationen zur Arbeit

Abschlussarbeitstyp: Bachelor, Master
Betreuer: Daniel Bogdoll
Forschungsgruppe: Angewandte Technisch-Kognitive Systeme

Archivierungsnummer: 4949
Abschlussarbeitsstatus: Offen
Beginn: 06. September 2022
Abgabe: unbekannt

Weitere Informationen

In computer vision, we often deal with models that have no good understanding of the how the world works. This leads to cases, where neural networks are severely wrong, while we humans can easily identify the issue. Luckily, world models, which learn a representation of the world, come to the rescue. In this thesis, you will train a world model, that not only learns from 2D image data, but also 3D voxel data.

Ausschreibung: Download (pdf)