… to determine driving style and design a driver steering model considering driver characteristics.
… is extracted as a crucial indicator to represent driver characteristics, and it is calibrated …

… The longitudinal dynamic system of the vehicle has strong nonlinearity, uncertainty, time-…
and no adaptive ability for complex driving environments. Therefore, the feedforward control …

… In this way, we add people’s driving habits and styles into the … environments and human’s
driving styles. At last, autonomous driving, which reflects two types of human drivers’ driving …

… This scenario requires intelligent driving systems to be able to react to an uncertain … driving
styles among human drivers, which is particularly important in the mixed driving environment …

… To address this issue, an uncertainty estimation approach based on the deep ensemble …
the estimated uncertainty is considered in the decision-making module to improve driving safety. …

… And this can be reflected by different driving styles of CAVs. Therefore, for future CAV …
driving styles and their effects on CAVs decision making. In this paper, different driving styles are …

… , a novel uncertaintyaware model-based RL method is proposed and validated in autonomous
driving … of uncertainty assessment is established as the environment model. Then, a novel …

… driving in urban environments with an uncertain and dynamic nature. The uncertainty in the
environment … Even the perception of objects is uncertain due to sensor noise or possible …

… the uncertainties of decision making [3], [4]. In [5], a Bayesian networks model is applied to
decision making, that considers the uncertainties … of different driving styles are analyzed and …

… , the drivers preferred a driving style they thought was their own … driver, reducing the driver’s
perception-action uncertainty. This would translate to a narrower DRF, which allows a driver …