Autonomous driving is one of the promising technologies to tackle traffic accident and
congestion problems nowadays. Even though an autonomous vehicle is operated without …

This paper focuses on the real-time trajectory planning problem for autonomous vehicles
driving in realistic urban environments. To solve the complex navigation problem, we adopt …

This paper proposes an optimized trajectory planner and motion planner framework, which
aim to deal with obstacle avoidance along a reference road for autonomous driving in …

In this paper, we propose a progressive model predictive control scheme (PMPCS) by
considering the cooperative control of local planning and path tracking for intelligent …

In this article, a novel approach of decision-making and motion control is designed for
realizing safe and personalized driving of autonomous vehicles. A new lane-change …

The autonomous vehicle is widely applied in various ground operations, in which motion
planning and tracking control are becoming the key technologies to achieve autonomous …

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 …

Trajectory planning is one of the most complex tasks that should be accomplished in order to
ensure vehicle autonomous driving. Trajectory planning can be classified into local and …

This paper presents the design and first test on a simulator of a vehicle trajectory-planning
algorithm that adapts to traffic on a lane-structured infrastructure such as highways. The …

Trajectory planning has generally been framed as finding the lowest cost one from a set of
trajectory candidates, where the cost function has been hand-crafted with carefully tuned …