Recent advancements in self-driving car technologies have enabled them to navigate
autonomously through various environments. However, one of the critical challenges in …

Recent advancements in self-driving car technologies have enabled them to navigate
autonomously through various environments. However, one of the critical challenges in …

Nowadays, the potential of autonomous vehicles for order picking and material transport in
vast environments with large amounts of obstacles is only exploited to a limited extent. In …

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 …

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

In this paper, we present a motion planning algorithm for autonomous navigation in highly
constrained urban environments. Since common approaches to on-road trajectory planning …

We present a framework for robust autonomous driving motion planning system in urban
environments which includes trajectory refinement, trajectory interpolation, avoidance of …

Motion planning is one of the core modules for autonomous driving. Among the current
motion planning techniques, optimization-based methods have unique advantages since …

This thesis is concerned with the development of trajectory planning approaches targeting
autonomous driving applications in dynamic environments shared with other traffic …

As a fundamental component of autonomous driving systems, motion planning has garnered
significant attention from both academia and industry. This paper focuses on efficient and …