Autonomous vehicles (AVs) are at the heart of academic and industry research because of
various advantages such as safety improvement, lower energy and fuel consumption …

The objective of this paper is to find feasible path planning algorithms for nonholonomic
vehicles including flatness, polynomial, and symmetric polynomial trajectories subject to the …

Path planning of an autonomous vehicle as a non-holonomic system is an essential part for
many automated driving applications. Parking a car into a parking lot and maneuvering it …

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 a local path planning approach that avoids both static and dynamic
multi-obstacles for autonomous car. The proposed algorithm is able to alter the predefined …

Currently autonomous or self-driving vehicles are at the heart of academia and industry
research because of its multi-faceted advantages that includes improved safety, reduced …

With the progress of autonomous driving technology, obtaining a safe and smooth trajectory
in complex environments is the focus of motion planning in recent years. This paper …

This study presents a general optimal trajectory planning (GOTP) framework for autonomous
vehicles (AVs) that can effectively avoid obstacles and guide AVs to complete driving tasks …

Safe and smooth mobile robot navigation through cluttered environment from the initial
position to goal with optimal path is required to achieve intelligent autonomous ground …

This paper describes a computationally cost-effective path planning method by combining a
hybrid A∗ path planner with potential fields. The proposed real-time path planner is capable …