The selection of an appropriate control strategy is essential for ensuring safe operation in
autonomous driving. While numerous control strategies have been developed for specific …

Motion comfort is the basis of many societal benefits promised by automated driving and
motion planning is primarily responsible for this. By planning the spatial trajectory and the …

In order to increase the number of situations in which an intelligent vehicle can operate
without human intervention, lateral control is required to accurately guide it in a reference …

Automated vehicles promise numerous advantages to their users. The proposed benefits
could however be overshadowed by a rise in the susceptibility of passengers to motion …

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

In the transition from partial to high automation, occupants will no longer be actively involved
in driving. This will allow the use of travel time for work or leisure, where high comfort levels …

Trajectory planning for autonomous driving is challenging in unstructured scenarios such as
mining sites. Existing studies mainly resort to a heuristic search-based planner to find a …

This paper proposes a convex time-optimal trajectory planning method for industrial robotic
manipulators with jerk constraints. To achieve smooth and efficient trajectories, the square of …

Motion planning is an essential element of the modular architecture of autonomous vehicles,
serving as a bridge between upstream perception modules and downstream low-level …

This paper proposes an energy-efficient speed planning strategy for a connected and
automated vehicle (CAV) considering the upcoming traffic and road gradient information …