… use of machine learning longitudinal motion planning (mMP) for autonomous vehicles (AVs). …
impacts of autonomous vehicles (AVs) and connected and autonomous vehicles (CAVs) on …

… 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 …

… and to stabilize the vehicle, this paper proposes a post-impact motion planning and stability
control method for autonomous vehicles. An enabling motion planning method is proposed …

… such trajectories for autonomous vehicles operating in an … relevant vehicles, such as
autonomous guided vehicles with front … computes smooth motion trajectories, satisfying the …

… Behavioral Decision Making After a route plan has been found, the autonomous vehicle
must be able to navigate the selected route and interact with other traffic participants according …

… mixed motion planning and tracking (MPT) control framework for autonomous vehicles (AVs…
-based longitudinal motion planning module, a feed-forward longitudinal motion tracking …

… and motion planners being essential prerequisites for IVs. This article reviews state-of-the-art
motion planning methods for IVs, including pipeline planning and end-to-end planning …

… 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 …

… 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 …

… 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 …