Reinforcement learning (RL) has shown excellent performance in the sequential decision-
making problem, where safety in the form of state constraints is of great significance in the …

This paper presents a trajectory planning and control algorithm of autonomous vehicles for
static traffic agent avoidance in multi vehicle urban environments. In urban autonomous …

Trajectory planning for autonomous vehicles (AVs) by considering conflicting moving objects
(CMOs) is a challenging problem to AV operations. This paper investigates an AV trajectory …

Prediction, decision-making, and motion planning are essential for autonomous driving. In
most contemporary works, they are considered as individual modules or combined into a …

A reliable autonomous driving system should be capable of handling driving tasks in real-
time while ensuring user safety. However, many search-based planners suffer from high …

Neben der Erfassung und Interpretation der Umgebung ist die Planung von sicheren,
komfortablen und ausführbaren Fahrzeugtrajektorien Grundvoraussetzung für das …