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An Adaptive Human Driver Model for Realistic Race Car Simulations
This work contributes to a better understanding and modeling of the human driver, aiming to expedite simulation methods in the modern vehicle development process and potentially supporting automated driving and racing technologies.
A Probabilistic Framework for Imitating Human Race Driver Behavior
To approach this problem, we propose Probabilistic Modeling of Driver behavior (ProMoD), a modular framework which splits the task of driver behavior modeling into multiple modules.
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