The concept of the Guardian Angel system represents a pivotal advancement in vehicular safety, with a focus on enhancing the driving experience for individuals with diminished driving skills, particularly elderly drivers seeking to retain their …

This edited book describes novel human-systems integration approaches to improve acceptance, safety, and comfort of automated vehicles. Each chapter analyses different aspects in the development of automated driving systems such as: assessing …

With the increasing complexity of automated driving systems, formal verification as well as statistical verification that solely relies on real-world testing methods, become infeasible. Virtual testing seems like a promising alternative to …

Automated Driving (AD) technologies are transforming the mobility sector, promising enhancements in efficiency and safety as well as user experience tailored to diverse user needs. As the sector moves toward a more automated ecosystem, it's …

Research and development of high levels of automated driving (AD) vehicles has received considerable attention in recent years. Thereby, for the time being, humans will remain actively involved to assure overall safety, whether as drivers, safety …

This research explores an emerging approach, the adversarial policy learning paradigm, that aims to increase safety and robustness in deep reinforcement learning models for automated driving. We propose an iterative procedure to train an …

Automated driving functions have become firmly established in the automotive industry. Particularly parking maneuvers lend themselves comparatively well to automation due to the low velocity and the small operating space. However, to be accepted …

An Automated Driving System (ADS) must undergo comprehensive safety testing before receiving a road permit. Since it is not clear what exactly constitutes sufficient safety for an ADS, one could assume that an ADS is safe enough if it is at least …

The development of automated driving (AD) is a continuously advancing process with gradual introduction of limited functionality, which today enables

Online deep reinforcement learning training poses challenges due to its length and instability, despite the development of learning algorithms targeted to overcome these issues. Offline learning has emerged as a potential solution, but it …

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 a simulator. We propose a process for prioritizing and …

With the automation of the driving task, ergonomic criteria will become even more important in the interior. But what do customer reactions to new types of interiors look like, and which body shape is preferred? FEV and Kocaeli University (Turkey) …

This paper investigates participants’ perceptions and preferences regarding different cooperative intervention features for automated driving with level 2 driving automation. The experiment conducted involved 40 participants. A Kano questionnaire …

By depicting all the relevant components and the E/E architecture in a digital twin of the complete vehicle it is possible to efficiently evaluate the driving functions for automated longitudinal and lateral vehicle guidance already at an early …

Automated driving systems are advancing towards practical use, and commercial use has already begun in limited environments. Automated driving is a technology that will have a wide-ranging impact on our lives, making it crucial to form consensus …