… is difficult to pose autonomous driving as a supervised learning … As it is a relatively new area
of research for autonomous driving… driving model that takes in raw sensor inputs and outputs …

… and dynamic vehicle models for model-based control design used in autonomous driving.
In particular, we analyze the statistics of the forecast error of these two models by using …

… of researched models from macroscopic models only … models starting from simple unobstructed
path models to uncertain destination models and more advanced event/activity models. …

… In our case, since we use an autonomous driving simulator, it is expensive to run a …
adversaries that successfully attack e2e autonomous driving models, where a successful attack can …

… models. It is unclear to what extent these adversarial attacks and defenses are effective on
regression models (eg, autonomous driving models). … applied to autonomous driving systems, …

… , a considerable amount of research focusing on autonomous driving have been carried out.
Most … on highly autonomous driving aim to ultimately replace the driver's actions with robotic …

… human drivers toward social autonomous driving. We take this … 3) How to model and reveal
the process of social interaction? 4… This monograph reviews various approaches to modeling …

… For safe autonomous driving, a high-fidelity driving simulator, … in autonomous driving
research, in this survey, we will particularly describe the latest developments in autonomous driving …

… Although our primary focus is on aggressive autonomous driving, the model predictive
control algorithm that we develop is applicable to many other tasks. We present a general …

… of highquality driving videos and reasonable driving policies. (2) To … driving scenes and
expedite the world model convergence, we introduce the Autonomous-driving Diffusion Model …