Motion planning and vehicle prediction play an important role for autonomous vehicle, which
aims to guarantee the driving safety under cut-in scenarios. This paper presents a hybrid …

Accurate motion prediction of surrounding vehicles is of great importance to enable lower
risk motion planning for autonomous vehicles. In this paper, a long short-term memory …

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 …

This paper describes a motion planning algorithm for evasive lane keeping in urban
autonomous driving environments. Based on high-definition map (HD map), it is determined …

Planning a safe and comfortable trajectory in complex traffic scenarios is very challenging
because there are many constraints to consider, such as vehicle dynamics constraints and …

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 …

Planning frameworks for autonomous vehicles must be robust and computationally efficient
for real time realization. At the same time, they should accommodate the unpredictable …

Safe and efficient interaction with other moving vehicles is crucial for autonomous vehicles.
Speed planning affects the safety and smoothness of autonomous vehicles in dynamic …

The predictive motion prediction of surrounding vehicles is an essential precondition for
precise collision risk assessment and path planning. In this paper, we propose a motion …

For the path planning of autonomous vehicles, it is important to predict the future trajectory of
the surrounding vehicles. However, predicting future trajectory is difficult because it needs to …