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Exploring the Potential of World Models for Anomaly Detection in Autonomous Driving
We provide a characterization of world models and relate individual components to previous works in anomaly detection to facilitate further research in the field.
From Model-Based to Data-Driven Simulation: Challenges and Trends in Autonomous Driving
Simulation is an integral part in the process of developing autonomous vehicles and advantageous for training, validation, and verification of driving functions.
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