… the ego vehicle by using motion planning techniques considering the uncertain prediction of
… about the movement of the other cars, the autonomous vehicle has to continuously choose …

… do not account for system uncertainties may result in unsafe … framework for controlling
autonomous vehicles where the risk of … problem of predicting the positions of surrounding vehicles …

… a framework for uncertainty prediction in complex … uncertainty is yielded directly from data
through artificial neural networks. The strategy developed is applied to autonomous vehicle …

… the ego vehicle by using motion planning techniques considering the uncertain prediction of
… about the movement of the other cars, the autonomous vehicle has to continuously choose …

… prediction uncertainty estimation for autonomous vehicles. The proposed algorithm is designed
to utilize information from sensors mounted on the autonomous vehicle … state prediction …

… autonomous vehicles, namely predicting future state of traffic actors in the autonomous vehicle’…
for and capturing inherent uncertainty of the prediction task. Extensive experiments on real…

… autonomy vehicle … to predict vehicle trajectories [15]. Maneuver-based models [1], [8], [16],
[17] employ a hierarchical approach, estimating high-level maneuvers and predicting vehicle …

… POMDP-BASED DECISION MAKING This section briefly introduces the modelling of the
POMDP problem considering uncertain prediction of surrounding vehicles, which covers state …

… tasks, different methods for uncertainty quantification have recently been proposed to … for
uncertainty quantification in DNNs along with existing metrics to evaluate uncertainty predictions…

… planning method for an autonomous vehicle in uncertain multi-vehicle traffic environments.
The … (IAIMM-KF) to predict interactive multimodal maneuvers of surrounding vehicles, and the …