… to efficiently estimate other vehicles' intentions and … intention estimate is generated from
a Probabilistic Graphical Model (PGM) which organizes historical data and latent intentions …

… the smoothness of vehicle driving. Although these methods have … of intention estimation
were only tested by simulated data rather than real traffic data. In this work, the models of driving …

… the dataset, we set the driving intentions as lane-changing intentions in the experiment in the
next … to the driving intention of changing to the left lane, i = 2 refers to the driving intention of …

… and adaption of autonomous vehicles to human passengers. In this study, a personalized
intention-aware autonomous driving strategy is proposed. An online driving style identification …

… for autonomous driving among many pedestrians. We model the intention of a pedestrian
as a subgoal location [8] and model pedestrian behavior conditioned on the intention as a …

… method [20] to estimate model parameters for different driver intention I. Once the model … to
different driver intention have been trained, we can perform the driver’s intention estimation in …

… that our method improves the comfort of autonomous driving. … of intent estimation, for instance
including the moving intent of … be conducted to increase the accuracy of intent estimation. …

… that AV industry faces today is modelling behaviour and predicting future intentions of road
users. To make a self-driving car reason and execute the safest motion plan, it should be able …

… that pedestrians and the autonomous driving agent can have a theory of mind for each other.
In this case, the autonomous driver would possess both representations of driver itself, and …

… human drivers, or even more, to understand the intention of … the intention estimation algorithm
as an Advanced Driver … is less critical because the human driver is still the real master. …