Planning and decision-making technology at intersections is a comprehensive research
problem in intelligent transportation systems due to the uncertainties caused by a variety of …

In this article, we present an efficient planning system for automated vehicles in highly
interactive environments (EPSILON). EPSILON is an efficient interaction-aware planning …

In this article, we present an innovative approach, ie, horizonwise model-predictive control
(H-MPC), to solve the model-predictive control (MPC) problem of a linear time-varying (LTV) …

The rise of artificial intelligence has drawn attention to self-driving cars. Although a
commercial autonomous vehicle still have not appeared on market, autonomous race cars …

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 …

Die autarke Bewegung eines Roboters durch seine Umwelt erfordert die Planung von
Sollzuständen auf Basis gemessener und aufbereiteter Daten der Umgebung bzw. des …

Autonomous systems have been widely deployed in various field applications, such as
inspection, exploration, and aerial videography using micro aerial vehicles (MAVs), and …

Speed planning ensures safety and ride comfort, and gives a reasonable driving speed for
unmanned ground vehicles. Most velocity planning methods based on arc-length of a given …

A wide range of studies and companies are focusing on autonomous vehicles these days.
They strive to provide vehicles that are safe and reliable. Safety and reliability play a crucial …