… prediction model in the autonomous driving discipline. To eliminate the restriction of high-cost
data collection and empower the generalization ability of our model… hours of driving videos…

… prediction model that enables large-scale real-time simulation and planning for autonomous
driving. … ; data-driven models need enormous data to generalize and perform well in diverse …

… predicting behaviors of surrounding objects are key prerequisites for intelligent systems such
as autonomous vehicles to … The framework can incorporate an arbitrary prediction model as …

… planning concepts for automated driving. Key assessment criteria shall be the capability
for maneuver planning and execution in the context of automated driving. The concepts are …

… algorithms for autonomous vehicles navigating … driving data and its influence on prediction
models provides deep insights for the field of motion prediction in autonomous driving…

… In this work, we show that policies that generalize can be learned from … predictive knowledge
in autonomous driving. The improvements offered in our algorithm of learning predictive …

… the accurate prediction of future driving trajectories … autonomous vehicles. To solve above
problems, in this paper, we introduce a Safe and Generalized endto-end Autonomous Driving …

… The paper discusses the SCMPC design procedure, which is simple and can be generalized
to other control challenges in automated driving, as well as the controller’s robustness …

… Therefore, this paper focuses on the local path planning method of autonomous vehicles …
is limited in real vehicle models. We propose a risk model-generalized ODG model to create a …

… Our model does suffer from that as well. … a generalized predictive model on internet-scale
driving data, the main focus of this work is the generalization ability to diverse unseen driving …