Safety is the cornerstone of autonomous driving vehicles. For autonomously controlled
vehicles driving safely in complex and dynamic traffic scenarios, it is essential to precisely …

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 …

Safety is the cornerstone for Advanced Driver Assistance Systems (ADAS) and Autonomous
Driving Systems (ADS). To assess the safety of a traffic situation, it is essential to predict …

The lane-changing maneuvers are challenging and contributes to traffic accidents and
crashes. They are complicated task that often lead to an increased risk of vehicle collisions …

This paper presents a trajectory planning and control algorithm of autonomous vehicles for
static traffic agent avoidance in multi vehicle urban environments. In urban autonomous …

The autonomous vehicle is widely applied in various ground operations, in which motion
planning and tracking control are becoming the key technologies to achieve autonomous …

In the field of path planning for autonomous vehicle, the existing studies separately consider
the path planning and path tracking problem. To fill in this research gap, this study proposes …

Security problem is a fundamental issue for autonomous vehicles. Trajectory planning is a
significant component of autonomous vehicle system, which directly influences the …

Accurate trajectory prediction of surrounding vehicles is vital for automated vehicles to
achieve high-level driving safety in complex situations. However, most state-of-the-art …

In order to ensure reliable autonomous driving, the system must be able to detect future
dangers in sufficient time to avoid or mitigate collisions. In this paper, we propose a collision …