This paper presents a trajectory planning framework to deal with the highly dynamic
environments for on-road driving. The trajectory optimization problem with parameterized …

A safe trajectory planning for on-road autonomous driving is a challenging problem owing to
the variety and complexity of driving environments. The problem should involve the …

This thesis addresses motion planning and control of autonomous heavyduty industrial
vehicles, such as trucks and buses, using optimization-based techniques. Autonomous …

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 …

Trajectory planning is one of the key and challenging tasks in autonomous driving. This
paper proposes a novel method that dynamically plans trajectories, with the aim to achieve …

Path planning is discussed in this article for an autonomous vehicle given a route to follow.
Route data is considered to be available for a distance ahead of the vehicle in a receding …

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 …

In this paper, a new approach for lane change and double-lane change planning and
following for autonomous driving is proposed. Herein, we introduce a novel technique …

Path planning in real road traffic refers to the navigation of an autonomous vehicle through
an obstacle-filled environment. It is crucial for the comfort, safety, and efficiency of the …

In this paper, a state space sampling-based local trajectory generation framework for
autonomous vehicles driving along a reference path is proposed. The presented framework …