… to risky or overconservative plans. In this work, we model the motion planning problem as
a partially observable Markov decision process (POMDP) and propose an online system that …

… -optimal motion of autonomous vehicles through such complex environments, this paper
presents a novel motion planning approach. The approach combines a global path planner with …

… Our results indicate that fail-safe motion planning has the potential to drastically reduce
accidents while not resulting in overly conservative behaviors of the autonomous vehicle. …

… planning method for a group of connected and automated vehicles (CAVs) crossing a lane-…
This multi-vehicle motion planning task is formulated as a centralized optimal control problem…

… vehicles execute lane change motions computed offline and recorded in the look-up table.
This makes online motion planning … with the vehicle number; and 2) online computation at the …

… In this paper an efficient motion planning framework for autonomous underwater vehicles
(… In this paper we present a novel motion planning framework that takes into consideration …

… MOTION planning for autonomous vehicle functions is a vast … research papers about
autonomous vehicles and the DRL … the complexity of the different motion planning problems, it is …

… , prediction, and motion planning in complex situations. This article focuses on motion
planning and control, two of the crucial functions for autonomous driving. Various algorithms were …

… architecture, specifically path planning techniques in automated vehicles. Path planning in
mobile … Most of the authors divide the problem into global and local planning. A review of the …

… The purpose of this review is to build a taxonomy of motion planning algorithms for highway
driving with autonomous vehicles used like the workaday car of the future. The review is …