This paper presents a hierarchical motion planning approach based on discrete optimization
method. Well-coupled longitudinal and lateral planning strategies with adaptability features …

On-road trajectory planning is a direct reflection of an autonomous vehicle's intelligence
level when traveling on an urban road. The prevalent on-road trajectory planners include the …

With the aims of safe, smart and sustainable future mobility, a personalized approach of
trajectory planning and control based on user preferences is developed for lane-change of …

The basic conditions for mobile robots to be autonomous are that the mobile robot localizes
itself in the environment and knows the geometric structure of the environment (map). After …

This paper proposed an improved potential rapidly exploring random tree star (P-RRT*)
algorithm for unmanned aerial vehicles (UAV). The algorithm has faster expansion and …

This paper presents a framework for fast and robust motion planning designed to facilitate
automated driving. The framework allows for real-time computation even for horizons of …

Unmanned aerial vehicles (UAVs) have been used in wide range of areas, and a high-
quality path planning method is needed for UAVs to satisfy their applications. However …

We present an approach to the problem of differentially constrained mobile robot motion
planning in arbitrary cost fields. The approach is based on deterministic search in a specially …

Optimization-based methods are commonly applied in autonomous driving trajectory
planners, which transform the continuous-time trajectory planning problem into a finite …

This letter presents a hierarchical motion planner for generating smooth and feasible
trajectories for autonomous vehicles in unstructured environments with static and moving …