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

10 August 2023

J. Marius Zöllner

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

3 / 3 papers shown

Title
UMAD: Unsupervised Mask-Level Anomaly Detection for Autonomous Driving Daniel Bogdoll Noël Ollick Tim Joseph J. Marius Zöllner 24 1 0 10 Jun 2024
Model-Based Imitation Learning for Urban Driving Anthony Hu Gianluca Corrado Nicolas Griffiths Zak Murez Corina Gurau Hudson Yeo Alex Kendall R. Cipolla Jamie Shotton 104 135 0 14 Oct 2022
Description of Corner Cases in Automated Driving: Goals and Challenges Daniel Bogdoll Jasmin Breitenstein Florian Heidecker Maarten Bieshaar Bernhard Sick Tim Fingscheidt J. Marius Zöllner 32 55 0 20 Sep 2021