… we propose a probabilistic prediction approach … drivers involving both discrete and continuous
driving decisions. Based on this, the distribution over all future trajectories of the predicted …

… prediction of future states of driving behavior. This paper proposes predicting driving behavior
… We focused on prediction of the future stop probability at an intersection because it is one …

… tic model of the driver behavior based on … probabilistic computation tree logic (PCTL). Results
show that our approach can correctly predict quantitative information about driver behavior …

… infer the motivations and goals of driver in order to predict his behavior. Another approach
is chosen by Zhang et al [3] which estimates the behaviors of vehicles in intersection scenarios…

… which can be used to assess driver competence 2]. Creating our probabilistic driver models
involves identifying the variables essential to predicting human driver behavior, using a …

… Learned probabilistic and interaction-aware driver behavior models iteratively applied to
generate possible scene predictions (colors indicate prediction horizon of up to 7 s). The green …

… and consider these foresights in their driving behavior. To make the driving style of automated
vehicles comparable to the one of human drivers with respect to comfort and perceived …

… a probabilistic framework to overcome this limitation using the primitives of driving behavior.
… Different from research in [38]–[40] with the aim to predict driver behaviors, this paper will …

… leads to probabilistically valid successor scenes. The probabilistic microscopic driving models
in … in the form of features to make their predictions. The models are reformulated as p(a (i) …

… We are presently exploring the use of the driver's visual scanning behavior as another …
about the driver's state. Visual scanning behavior offers the additional advantage of prediction of …