Heterogeneous autonomous vehicle (HAV) coordinated motion planning must guide each
vehicle out of the conflict zone based on the differences in vehicle platform characteristics …

Revealing differences in vehicle characteristics is critical to enhancing the accessibility of
heterogeneous vehicles in off-road environments. Decomposing complex motions into …

Motion planning algorithms, an essential part of the autonomous driving system, have been
extensively studied. However, in large-scale complex scenarios, how to develop an optimal …

Scenario vehicles are an important part of the dynamic environment utilized in autonomous-
driving simulations. They are required to meet the demands of traffic-scenario diversity and …

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

As a core part of an autonomous driving system, motion planning plays an important role in
safe driving. However, traditional model-and rule-based methods lack the ability to learn …

Rapid advances in every sphere of autonomous driving technology have intensified the
need to be able to benchmark and compare different approaches. While many …

This article proposes an interaction and safety-aware motion-planning method for an
autonomous vehicle in uncertain multi-vehicle traffic environments. The method integrates …

Motion planning is essential for an autonomous vehicle to perform safe and human-like
driving behaviors, especially in highly dynamic scenarios such as dense urban and highway …

Vehicles are highly coupled and multi-degree nonlinear systems. The establishment of an
appropriate vehicle dynamical model is the basis of motion planning for autonomous …