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Found 5 papers, 2 papers with code
Situation Awareness for Driver-Centric Driving Style Adaptation
Furthermore, we found that feature encoders pretrained on our dataset lead to more precise driving behavior modeling.
Steering Feedback in Dynamic Driving Simulators: The Influence of Steering Wheel Vibration and Vehicle Motion Frequency
The statistical analysis of subjective results show that there is a significant influence of the frequency content of both steering wheel torque and vehicle motion on the subjective evaluation of steering feedback in a dynamic driving simulator.
Exploring the Influence of Driving Context on Lateral Driving Style Preferences: A Simulator-Based Study
Despite the increased research focus on driving styles, there remains a need for comprehensive studies investigating how variations in the driving context impact the assessment of automated driving functions.
Self-Perception Versus Objective Driving Behavior: Subject Study of Lateral Vehicle Guidance
Ensuring a safe and comfortable ride experience is vital for the widespread adoption of autonomous vehicles, as mismatches in driving styles between humans and autonomous systems can impact passenger confidence.
Masked Discriminators for Content-Consistent Unpaired Image-to-Image Translation
In this work, we show that masking the inputs of a global discriminator for both domains with a content-based mask is sufficient to reduce content inconsistencies significantly.
