Daniel Bogdoll

Perception Datasets for Anomaly Detection in Autonomous Driving: A Survey

2023

Deep neural networks (DNN) which are employed in perception systems for autonomous driving require a huge amount of data to train on, as they must reliably achieve high performance in all kinds of situations. However, …

Exploring the Potential of World Models for Anomaly Detection in Autonomous Driving

2023 · arXiv (Cornell University)

In recent years there have been remarkable advancements in autonomous driving. While autonomous vehicles demonstrate high performance in closed-set conditions, they encounter difficulties when confronted with unexpected situations. At the same time, world models emerged …