… MOTION planning for autonomous vehicle functions is a vast and long-researched area …
Among the problems of vehicle motion planning, racing is one example of such a MAS problem. …

… The objective of this paper was to identify the main methods of motion planning for
autonomous vehicles in the highway case. We do not claim to have exhaustively gathered all …

… 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 …

… on motion planning for autonomous vehicles to … for autonomous systems. Section III presents
the control design for the crash mitigation motion planning including modeling of the vehicle…

… 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 …

… motion planning framework in a hierarchical manner to achieve a balance between these
criteria. In the upper layer, a path-planning … the alternative path for the vehicle in a macro-scale …

… 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 …

… This paper presented a motion planning and tracking framework by using the resistance …
for autonomous vehicles. Since the classic resistance network only solves the path-planning …

… 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 …

… In summary, the involvement of the major motion planning methods is shown in Figure 4,
which depicts the transition from traditional rule-based methods to the state-of-the-art machine …