Path planning plays a vital role in autonomous driving as it needs to guide the vehicle to
achieve the target position without collision while satisfying the vehicle's non-holonomic …

This paper presents a real-time motion planning scheme for urban autonomous driving that
will be deployed as a basis for cooperative maneuvers defined in the European project …

ACOMMON task for autonomous vehicles is motion planning. Discipline-based design of
motion planning algorithms have led to the development and evolution of different …

For automated driving vehicles, trajectory planning is responsible for obtaining feasible
trajectories with velocity profiles according to driving environments. From the perspective of …

This work regards our preliminary investigation on the problem of path planning for
autonomous vehicles that move on a freeway. We approach this problem by proposing a …

This paper presents a multi-unmanned aerial vehicle (UAV)-assisted mobile edge
computing system, where multiple UAVs are used to serve mobile users. We aim to minimize …

Motion planning in unstructured and low-speed environments is a fundamental and difficult
task for all mobile robotics. If we view motion planning as an optimization problem, the non …

Safe trajectory planning for high-performance automated vehicles in an environment with
both static and moving obstacles is a challenging problem. Part of the challenge is …

A huge research effort is being spent worldwide by automotive companies and academic
institutions for developing vehicles with high levels of autonomy, ranging from advanced …

Time-optimal motion planning of autonomous vehicles in complex environments is a highly
researched topic. This paper describes a novel approach to optimize and execute locally …