It is crucial for automated vehicles to explicitly comply with specifications, including traffic
rules, to ensure their safe and effective participation in road traffic. Such compliance is also …

Ensuring safe and capable motion planning is paramount for automated vehicles.
Traditional methods are limited in their ability to handle complex and unpredictable traffic …

In recent years, reachability analysis has gained considerable popularity in motion planning
and safeguarding of automated vehicles (AVs). While existing tools for reachability analysis …

Navigating delivery robot along the sidewalk safely and robustly in a campus environment is
extremely challenging due to the narrow motion space, appearance changes and unstable …

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 …

Traditional decoupling trajectory planning strategy deals with complex urban road scenes
with many shortcomings, such as stereotyped behavior and poor trajectory quality. Aiming at …

Despite large advances in recent years, real-time capable motion planning for autonomous
road vehicles remains a huge challenge. In this work, we present a decision module that is …

Current motion planning approaches for autonomous mobile robots often assume that the
low level controller of the system is able to track the planned motion with very high accuracy …

This study introduces a novel approach to autonomous motion planning, informing an
analytical algorithm with a reinforcement learning (RL) agent within a Frenet coordinate …

This paper proposes a coordinated control design method, with which the autonomous
vehicle is able to perform ethical maneuvers. The starting point of the provided method is a …