… autonomous vehicles using a changepoint-based method. They sample policies of the target
cars … for predicting off-road vehicle trajectories by integrating kinematics and environment to …

… by integrating a classical samplingbased motion planner, of … vehicle and the traffic situation,
and the control command ut at time t, we define the system model of the autonomous vehicle …

… With the sampling method for a lateral movement, the … , the hierarchical concept for efficient
trajectory planning [20] … of autonomous cars. His work focuses on behavioral decisions, …

… The algorithm of sampling process in motion planning is shown in … to handling integrated
decision and planning problems under … learning based motion planning for autonomous vehicle …

… This paper presents a trajectory planning framework to deal with the highly dynamic …
Hierarchical trajectory planning of an autonomous Car based on the integration of a sampling and …

… have not taken multiple autonomous vehicles scenarios into consideration. Based on the
above … The proposed V-ACO path planner is a hybrid technique that integrates Voronoi partition …

… , the detailed cost function of motion planning) to be compatible … The work in [20] integrated
a sampling-based motion planner … planner for autonomous vehicles based on reinforcement …

… plan an optimal motion for the vehicle. The challenge however is that autonomous racing
requires fast sampling … , and use the standard approach to integrate the velocities, which relies …

… -sized output with hierarchical inference, we adopt the fully … sampling number for the
stochastic models is that sampling … , JM, Lee, JW: Motion planning for autonomous driving with a …

… is of vital importance to decision-making for autonomous vehicles. Currently, there are …
based trajectory planning methods: sampling-based, graph-search-based, and optimization-based…