… Critically, motion planning is a necessary component for the safe operation of an autonomous
vehicles. This work focuses on the problem of embedding a motion planner into a software …

… gorithm, based on the rapidly-exploring random tree (RRT) approach, applicable to
autonomous vehicles operating in an urban environment. Extensions to the standard RRT are …

… Motion planning for autonomous vehicles becomes more … To overcome this challenge,
a human-like motion planning … of states of the surrounding vehicles, decision making of the …

… a distributed motion planning algorithm to ensure safe overtaking of autonomous vehicles in
… Unlike the conventional overtaking techniques, autonomous driving strategies can be used …

… This paper addresses the problem of autonomous vehicle motion planning in the unstructured
environment using the Neural Networks. The Neural Networks for Robot Motion Planning (…

… Abstract—In this work, we address the motion planning problem for autonomous vehicles
through a new lattice planning approach, called Feedback Enhanced Lattice …

… We show how to plan autonomous vehicles’ motions with temporal logic and manoeuvre
automata (Sect. 5). More precisely, we interpret LTL over manoeuvre automata and formally …

… Abstract A fundamental aspect of autonomous vehicle guidance is planning trajectories.
Historically, two fields have contributed to trajectory or motion planning methods: robotics and …

… the motion control of autonomous vehicles, which differs from the conventional method of
treating planning … effects on the performance of autonomous vehicles under challenging driving …

… stake in the design of a motion planning policy. To account for … process of motion planning
algorithms for autonomous vehicles… of VSD for autonomous vehicle motion planning with the …