X Zhang, Y Jiang, Y Lu, X Xu - … on Intelligent Vehicles, 2022 - ieeexplore.ieee.org
… 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 motionplanners, RL … Researchers using RL for motion planning typically create … of RL problems for motionplanning in autonomous driving, we provide …
C Miller, C Pek, M Althoff - 2018 IEEE Intelligent Vehicles …, 2018 - ieeexplore.ieee.org
… Motionplanning for autonomousvehicles aims to provide comfortable, feasible, and safe trajectories [1]. Different techniques have been proposed over the years to achieve this goal. …
… are targeted at autonomousvehiclemotionplanning are generally … , an autonomousvehicle motionplanning benchmark … -grained differences in motionplanners across a wide range …
… planning the autonomousvehicle (AV) motion references using sequential optimization. The method determines the trajectory plan, … Next, we presented a method for defining the motion …
L Ma, J Xue, K Kawabata, J Zhu, C Ma… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
… Some teams attempt to solve the motionplanning problems of autonomousvehicles by the … Our method is designed for the motionplanning module of on-road autonomous driving, …
… aware motion-planning method for an autonomousvehicle in uncertain multi-vehicle traffic … maneuvers of surrounding vehicles, and the advantage of model predictive control (MPC) in …
B Li, Z Shao - Knowledge-Based Systems, 2015 - Elsevier
… This paper proposes a motionplanner for autonomous parking. Compared to the prevailing and emerging studies that handle specific or regular parking scenarios only, our method …
… vehiclemotion in the surroundings and the real-time planning of the autonomousvehicle … The goal of this paper is to present low-complexity motion-planning for overtaking scenarios …