Automated vehicles have immense potential to improve the safety of our roadways. In order
to handle the complex task of driving, they need the ability to make decisions regarding …

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

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

In this study, a 3D sample trajectory planning approach for on-road scenarios is provided,
which can directly supply the coordinate and velocity of each planning point …

Human drivers navigate by continuously predicting the intent of road users and interacting
with them. For safe autonomous driving, research about predicting future trajectory of …

An image-based self-localization method for automated vehicles is proposed herein. The
general selflocalization method estimates a vehicle's location on a map by collating a …

Trajectory planning is a fundamental task on various autonomous driving platforms, such as
social robotics and self-driving cars. Many trajectory planning algorithms use a reference …

Intelligent vehicles face considerable challenges in the complex traffic environment since
they need to deal with various constraints and elements. This dissertation puts forward a …

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

The ability to interact with other road participants is essential for autonomous vehicles in
order to navigate under highly complex or critical driving scenarios. It is an extremely …