Self-driving Autonomous Vehicles (SAVs) are gaining more interest each passing day by the
industry as well as the general public. Tech and automobile companies are investing huge …

Abstract Autonomous Vehicles (AVs) ie, self-driving cars, operate in a safety-critical domain,
since errors in the autonomous driving software can lead to huge losses. Statistically, road …

With the ever-increasing advancements in the technology of driver assistant systems, there
is a need for a comprehensive way to identify traffic conflicts to avoid collisions. Although …

The on-board sensors of connected autonomous vehicles (CAVs) are limited by their range
and inability to see around corners or blind spots, otherwise known as non-line of sight …

Simulation-based safety testing of Automated Driving Systems (ADS) is a cost-effective and
safe alternative to field tests. However, it is practically impossible to test every scenario using …

Weitere Personen waren an der inhaltlich-materiellen Erstellung der vorliegenden Arbeit
nicht beteiligt. Insbesondere habe ich hierfür nicht die entgeltliche Hilfe von Vermittlungs …

The on-board sensors of connected autonomous vehicles (CAVs) are limited by their range
and inability to see around corners or blind spots, otherwise known as non-line of sight …

To reduce road traffic accidents caused by human drivers, more and more vehicles
equipped with automated driving systems (ADSs)(SAE Level 3≥) are released. Since ADSs …

With the rapid growth of artificial intelligence technologies such as big data analytic,
machine learning, and image recognition, the vehicle industry has undergone dramatic …

The timely introduction and adoption of safe automated vehicles necessitate testing based
on scenarios that reflect the diverse aspects they will encounter during autonomous …