… this study is that the subject vehicle’s future states are used … vehicle are determined by
MPC-based motion planner which … outputs of motion planner makes the LSTM-RNN based motion …

… Simulation tests show that our approach outperforms the previously developed motion
planners based on model predictive control (MPC), safe RL, and RRT⋆ in terms of planning …

… In contrast to human-engineered motion planners, RL … Researchers using RL for motion
planning typically create … of RL problems for motion planning in autonomous driving, we provide …

… Motion planning for autonomous vehicles aims to provide comfortable, feasible, and safe
trajectories [1]. Different techniques have been proposed over the years to achieve this goal. …

… are targeted at autonomous vehicle motion planning are generally … , an autonomous vehicle
motion planning benchmark … -grained differences in motion planners across a wide range …

… planning the autonomous vehicle (AV) motion references using sequential optimization. The
method determines the trajectory plan, … Next, we presented a method for defining the motion …

… Some teams attempt to solve the motion planning problems of autonomous vehicles by the
… Our method is designed for the motion planning module of on-road autonomous driving, …

… aware motion-planning method for an autonomous vehicle in uncertain multi-vehicle traffic
… maneuvers of surrounding vehicles, and the advantage of model predictive control (MPC) in …

… This paper proposes a motion planner for autonomous parking. Compared to the prevailing
and emerging studies that handle specific or regular parking scenarios only, our method …

… vehicle motion in the surroundings and the real-time planning of the autonomous vehicle …
The goal of this paper is to present low-complexity motion-planning for overtaking scenarios …