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Analysis over vision-based models for pedestrian action anticipation
Therefore, we provide insights on the explainability of vision-based Transformer models in the context of pedestrian action prediction.
Learning from Naturalistic Driving Data for Human-like Autonomous Highway Driving
In this study, a method of learning cost parameters of a motion planner from naturalistic driving data is proposed.
Driver Identification through Stochastic Multi-State Car-Following Modeling
In this study, a joint model of the two types of heterogeneity in car-following behavior is proposed as an approach of driver profiling and identification.
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