In this paper, we proposed a new risk assessment based decision-making algorithm to
guarantee collision avoidance in multi-scenarios for autonomous vehicles. A probabilistic …

Driving safety is the most important element that needs to be considered for autonomous
vehicles (AVs). To ensure driving safety, we proposed a lane change decision-making …

In order to improve the real-time and computational efficiency of autonomous vehicles'
decision-making process, this paper draws on the decision-making behavior of human …

The autonomous vehicle is regarded as a promising technology with the potential to
reshape mobility and solve many traffic issues, such as accessibility, efficiency …

Despite development efforts toward autonomous vehicle technologies, the number of
collisions and driver interventions of autonomous vehicles tested in California seems to be …

In this paper, we propose a decision-making framework for autonomous driving at road
intersections that determines appropriate maneuvers for an autonomous vehicle to navigate …

Understanding the dynamic characteristics of surrounding vehicles and estimating the
potential risk of mixed traffic can help reliable autonomous driving. However, the existing risk …

In order to decide a safe and reliable trajectory for autonomous driving vehicles, the threat of
surrounding vehicles need to be assessed quantitatively and consider the potential risk. This …

Real-time crash prediction is the key component of the Vehicle Collision Avoidance System
(VCAS) and other driver assistance systems. The further improvements of predictability …

In a typical traffic scenario, autonomous vehicles are required to share the road with other
road participants, eg, human driven vehicles, pedestrians, etc. To successfully navigate the …