… So the run-time verification method can help autonomous vehicles … analyzing a scenario of
the autonomous vehicle try to change to … of autonomous vehicle classifying the driving style of …

… agent interaction and driving styles of drivers. … vehicle dynamics. This paper proposes a
fusion algorithm that considers driving style and vehicle dynamics to address these uncertainties. …

… Due to the uncertainties in human-driven vehicles’ motions, we learn a compact motion …
trajectories to capture human-like driver styles and uncertainties for each maneuver. The module …

… in developing autonomous driving vehicles. In this work, we focus on the uncertainty in …
compared to conventional RL algorithms and behaves comparably to humans driving style. …

… In this context, this paper provides an overview of uncertainty … that the uncertainties mainly
originate from two aspects: 1) the external traffic environment, and 2) the internal autonomous …

… Trust is defined as “the attitude that an agent will help achieve an individual’s goals in a
situation characterized by uncertainty and vulnerability” [32]. Trust is considered an important …

… Given the uncertainty about the movement of the other cars, the autonomous vehicle has
to … of the ego vehicle while taking into account the uncertain future movements of other …

… the design process of autonomous vehicles because of its complexity and uncertainty. It plays
… The main objective of this study is to customise the driving style of an autonomous vehicle …

… the source of the uncertainty and its environmental … uncertainties associated with global
navigation satellite systems (GNSSs), showing that our approach can predict sensor uncertainty …

… , the uncertain decision in autonomous driving endangers the safety of vehicles or even …
A decoder would take the content code and style codes as input to generate various stylized …