… lot of research on the motion planning and tracking control of autonomous vehicles, but the
… of the vehicle and whether the planned path can meet the requirements of vehicle tracking …

… Therefore, this article focuses on the local path planning of autonomous vehicles.
Currently, the existing local planning methods include graph-based method [5], sampling-based …

… motion planning for intelligent vehicles. One of the difficulties that arises in this domain is the
fact that typical, car-like autonomous vehicles … Instead, the orientation of the vehicle must be …

… a motion-planning framework for urban autonomous driving at uncontrolled intersections. The
intention and future state of the target vehicles … mode, the motion planning module consists …

… Some teams attempt to solve the motion planning problems of autonomous vehicles by the
… Our method is designed for the motion planning module of on-road autonomous driving, …

… Our results indicate that fail-safe motion planning has the potential to drastically reduce …
of the autonomous vehicle. Index Terms—Autonomous vehicles, fail-safe operation, formal …

… 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 …

… are targeted at autonomous vehicle motion planning are generally … , an autonomous vehicle
motion planning benchmark … -grained differences in motion planners across a wide range …

… vehicle motion in the surroundings and the real-time planning of the autonomous vehicle …
The goal of this paper is to present low-complexity motion-planning for overtaking scenarios …

… algorithms, they seem to be efficient and powerful tools for autonomous vehicle navigation.
In this chapter, a novel motion planning architecture is proposed for autonomous vehicle …