Human errors contribute to 94%(±2.2%) of road crashes resulting in fatal/non-fatal
causalities, vehicle damages and a predicament in the pathway to safer road systems …

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 …

Performing safe and efficient lane changes is a crucial feature for creating fully autonomous
vehicles. Recent advances have demonstrated successful lane following behavior using …

This paper presents a probabilistic trajectory prediction of cut-in vehicles exploiting the
information of interacting vehicles. First, a probability distribution of behavioral parameters …

To widen the range of deployment of autonomous vehicles, we need to develop more
secure and intelligent systems exhibiting higher degrees of autonomy and able to sense …

When applying autonomous driving technology to real-world scenarios, environmental
uncertainties make the development of decision-making algorithms difficult. Modeling the …

Lane change (LC), which is an essential behavior in driving, has an important role in traffic
efficiency and safety. Examining the spatial lane change behavior of drivers and determining …

Research in the areas related to driving behavior, eg, behavior modeling and prediction,
requires datasets with highly interactive vehicle motions. Existing public vehicle motion …

Cooperative driving behavior is essential for driving in traffic, especially for ramp merging,
lane changing or navigating intersections. Autonomous vehicles should also man-age these …

Predicting surrounding vehicle behaviors are critical to autonomous vehicles when
negotiating in multi-vehicle interaction scenarios. Most existing approaches require tedious …