We survey research on self-driving cars published in the literature focusing on autonomous
cars developed since the DARPA challenges, which are equipped with an autonomy system …

The introduction of automated vehicles without permanent human supervision demands a
functional system description, including functional system boundaries and a comprehensive …

Automated driving requires decision making in dynamic and uncertain environments. The
uncertainty from the prediction originates from the noisy sensor data and from the fact that …

Autonomous driving requires decision making in dynamic and uncertain environments. The
uncertainty from the prediction originates from the noisy sensor data and from the fact that …

The computational effort of trajectory planning for automated vehicles often increases with
the complexity of the traffic situation. This is particularly problematic in safety-critical …

Traveling vehicles participate in emphasizing the global warming problem due to the gases
produced by them. The exponential increase in the number of daily traveling vehicles has …

Before autonomous vehicles are widely spread, they will share the roads with non-
autonomous cars. Furthermore, to ensure functional safety of the self-driving cars, the cause …

Left-turn planning is one of the formidable challenges for autonomous vehicles, especially at
unsignalized intersections due to the unknown intentions of oncoming vehicles. This paper …

Representing the knowledge of driving environments in a structured machine-readable
format is necessary for safe autonomous driving. We use ontologies to represent the …

This paper presents an ontology-based driving decision making system, which can promptly
make safety decisions in real-world driving. Analyzing sensor data for improving …