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[Master Thesis] High-Fidelity Digital Twin: Probabilistic Dynamics Modeling for a Scaled Car
This Master’s thesis addresses the critical challenge of long-horizon instability in vehicle dynamics modeling. Download the full report to explore a validated framework that combines multi-step training with a GRU-based residual model to create stable, efficient, and reliable digital twins for autonomous systems.