J. Marius Zöllner
3 papers in the PaperMetrix corpus
Papers by this author
-
Adversarial Vulnerability of Temporal Feature Networks for Object Detection
2022 · arXiv (Cornell University)
Taking into account information across the temporal domain helps to improve environment perception in autonomous driving. However, it has not been studied so far whether temporally fused neural networks are vulnerable to deliberately generated perturbations, …
-
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 …