… Thirdly, the motion of the ego vehicle must be collision-free, meet its kinematic and dynamic
… the ego vehicle by using motion planning techniques considering the uncertain prediction of …

… the problem of predicting the positions of surrounding vehicles (denoted as target vehicles).
… In Section 3, we introduce the environment model to make predictions of target vehicle …

… vehicles based on motion prediction of surrounding vehicles. Firstly, surrounding vehicles’
trajectories are predicted … The prediction uncertainty of the state vector can be reflected in the …

… with the uncertainty in predicted trajectories, where future poses of surrounding vehicles are
… determined actions considering uncertain trajectories of surrounding vehicles, the proposed …

… of the ego vehicle by using motion planning techniques considering the uncertain prediction
of … 1, we define four key reasons for the uncertain future trajectory of other road users. These …

… sensor, radar and vision sensor, the range of the predicted states with corresponding
uncertainty is determined as shown in Figure 3. px is the longitudinal position of the …

… [22] estimates pixel-wise uncertainties from the input vehicle image using the VAE … vehicle
perception failures. In our work, we focus on producing an uncertainty-aware predictor that …

… In this section, the uncertain future motions of surrounding vehicles are modeled by using …
, the pro- posed method describes uncertain vehicle motions with respect to lanes in …

… The goal of our model is to estimate the future positions and the associated prediction
uncertainty for all vehicles in the ego vehicle’s frame of reference over the next tf seconds, given at…

… predicting the surrounding vehicle’s motion. Thus, in order to evaluate the collision risk while
motion prediction of surrounding vehicles… can predict the motion of the surrounding vehicle …