It is crucial to understand the surrounding cars with respect to the road context and interact
with them harmoniously for the success of autonomous cars used in the mixed urban traffic …

In order to achieve harmony in the mixed traffic, it is crucial to have autonomous vehicles
behave like human drivers. This work addresses a vision-based approach toward human …

It is crucial for automated vehicles to interact with the surrounding vehicles properly in urban
environment that can make both passengers and surrounding drivers feel safe and at ease …

In this paper, we present a human-like behavior generation approach for implementing the
autonomous driving functions along a predefined route in normal urban streets. Firstly, the …

Autonomous vehicles have to share the road with human-driven ones for a prolonged period
in the near future. Thus, they should have the ability to understand the lane changing …

A key research area in autonomous driving is how to model the driver's decision-making
behavior, due to the fact it is significant for a self-driving vehicles considering their traffic …

There are multifarious stationary vehicles in urban driving environments. Autonomous
vehicles need to make appropriate overtaking maneuver decisions to navigate through the …

To make autonomous vehicles consider driver's personalized characteristics, this paper
proposes an integrated model and learning combined (IMLC) algorithm to realize human …

The autonomous vehicle, as an emerging and rapidly growing field, has received extensive
attention for its futuristic driving experiences. Although the fast developing depth sensors …

This paper proposes a framework to recognize driving intentions and to predict driving
behaviors of lane changing on the highway by using externally sensable traffic data from the …