… 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 …

… model, which uses different potential functions to describe surrounding vehicles with … and
trajectory of the autonomous vehicle. Finally, the decision-making and motion planning is then …

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

… Autonomous vehicles (AVs) have now drawn significant attentions in academic and … In
critical decision making process during motion of an AV, intelligent motion planning takes an …

… In this article, a safe motion planning algorithm for autonomous vehicles is developed by
combining the method, which utilizes a neural network to predict collision probability with the …

… This paper presents a novel motion planning and tracking control framework for obstacle
avoidance of autonomous vehicle. The proposed framework realizes the personalized obstacle …

… LEARNING FOR DECISION MAKING AND MOTION PLANNING … motion planning for
autonomous vehicles based on deep RL. As shown in Fig. 1, the typical pipelines of an autonomous …

… Moreover, we incorporate our risk measure into a sampling based planner to generate
minimalrisk trajectories. Our results affirm that autonomous vehicles need to balance between …

… 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. …

… 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 …