Probabilistic vehicle trajectory prediction is essential for robust safety of autonomous driving.
Current methods for long-term trajectory prediction cannot guarantee the physical feasibility …

Skilled drivers have the driving behavioral characteristic of pre-sighted following, and
similarly intelligent vehicles need accurate prediction of future trajectories. The LSTM (Long …

We propose a method to predict trajectories of surrounding vehicles using a long short-term
memory (LSTM) network. Trajectory prediction of surrounding vehicles is attracting a lot of …

In this paper, we propose a novel method to predict the trajectory of a following vehicle,
based on the operation characteristics of a driver. If a lead vehicle suddenly decelerates to …

Motion Planning serves as the key for self-driving vehicle to achieve full autonomy. Recently,
Sampling-based motion planning (SBMP) has become a major motion planning approach in …