Realizing autonomy is a hot research topic for automatic vehicles in recent years. For a long
time, most of the efforts to this goal concentrate on understanding the scenes surrounding …

For human drivers, having rear and side-view mirrors is vital for safe driving. They deliver a
more complete view of what is happening around the car. Human drivers also heavily exploit …

This paper describes lane change motion planning with a combination of probabilistic and
deterministic prediction for automated driving under complex driving circumstances. The …

Estimating a driver's lane-change (LC) intent is very important so as to avoid traffic accidents
caused by improper LC maneuvers. This paper proposes a lane-change Bayesian network …

Vehicle-to-vehicle communication has a great potential to improve reaction accuracy of
different driver assistance systems in critical driving situations. Cooperative adaptive cruise …

The primary focus of autonomous driving research is to improve driving accuracy. While
great progress has been made, state-of-the-art algorithms still fail at times. Such failures may …

Many real world pattern classification problems involve the process and analysis of multiple
variables in temporal domain. This type of problem is referred to as Multivariate Time Series …

Predicting lane-changing intentions has long been a very active area of research in the
autonomous driving community. However, most of the literature has focused on individual …

In this paper, we propose a vehicle path prediction employing yaw acceleration for adaptive
cruise control (ACC). First, a path prediction method employing yaw acceleration is …

Situation understanding and interpretation are one of the essential features for automated
vehicles. To enable safe and comfortable driving, sensing the current situation is not …