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Deep Learning Anomaly Detection with Model Contradictions for Autonomous Driving

Informationen zur Arbeit

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

Archivierungsnummer: 4946
Abschlussarbeitsstatus: Offen
Beginn: 06. September 2022
Abgabe: unbekannt

Weitere Informationen

We don’t have autonomous vehicles around us yet because they're not very good at dealing with the many, crazy things we see on the roads of the world. Therefore, anomaly detection is particularly important to detect the unknown and deal with it. In this thesis you will work with deep learning based methods for the detection of anomalies in camera and lidar data based on model contradictions.

Ausschreibung: Download (pdf)