… is an essential prerequisite for risk assessment and motion planning of autonomous vehicles…
vehicles based on motion prediction of surrounding vehicles. Firstly, surrounding vehicles’ …

… on which the vehicle is traveling are … highway environments. In this survey, we present and
compare the state-of-the-art methods of localization methods for ADAS in highway scenarios. …

… This paper proposed an integrated graphical representation method to describe highway
scenario elements including vehicles, road structures and traffic rules in a risk-based manner, …

… Initially, we consider the scenario in which surrounding vehicles are detected in an
adjacent lane with overlapping subareas in the longitudinal direction as drawn in Fig. 4. In this …

… of the egovehicle behavior in a concrete scenario. It is only de… vehicles per scenario,
whereby the ego vehicle is also counted. The median is seven and the maximum is 19 vehicles…

… In the following we will combine the scenario approach of Theorem 2 with the SMPC
optimization problem of (13) and (18). First, the resulting optimization problem is stated. Then, the …

… the behavior and trajectory of surrounding target vehicles on a highway. First, the behavior
… of the target vehicle by learning its complex interactions with surrounding vehicles and the …

… The above parameters correspond to experimental values for the Hyundai Azera 2011
test vehicle at our laboratory; see [8] for more details. Driving on highways at relatively high …

… An example of scenario-based predictions of a vehicle performing a lane change is shown
in Fig. 7. The rectangular shapes representing the target areas are included inside the …

… The proposed method also assumes the longitudinal positions of surrounding vehicles are
given, for which we smooth according to the model dynamics (2) with zero control input. Table …