Autonomous driving has shown the capability of providing driver convenience and
enhancing safety. While introducing autonomous driving into our current traffic system, one …

Highly automated and fully autonomous vehicles are much more likely to be accepted if they
react in the same way as human drivers do, especially in a hybrid traffic situation, which …

Trajectory planning has generally been framed as finding the lowest cost one from a set of
trajectory candidates, where the cost function has been hand-crafted with carefully tuned …

The ultimate goal of self-driving technologies is to offer a safe and human-like driving
experience. As one of the most important enabling functionalities, trajectory planning has …

This paper proposes a prediction method for vehicle-to-pedestrian collision avoidance,
which learns and then predicts pedestrian behaviors as their motion instances are being …

Prior autonomous navigation systems focused on the demonstration of the technological
feasibility. But as the technology evolves, improving user experience through learning …

Driving in a human-like manner is important for an autonomous vehicle to be a smart and
predictable traffic participant. To achieve this goal, parameters of the motion planning …

In urban environments traffic safety is primarily determined by the successful interaction
between road users. In order to define behavioral requirements for future autonomous …

Inferring driver intentions plays an important role in developing human-centric intelligent
driver assistance systems. In this paper, we propose a method of inferring the lane-changing …

In this paper, we propose a trajectory prediction method that takes into account pedestrian
behavior. To realize safe automated driving in urban areas, it is necessary to predict the …