In recent years, autonomous vehicles (AVs), which observe the driving environment and
lead a few or all of the driving tasks, have garnered tremendous success. The field of AVs …

One of the major challenges that autonomous cars are facing today is driving in urban
environments. To make it a reality, autonomous vehicles require the ability to communicate …

Today, one of the major challenges that autonomous vehicles are facing is the ability to drive
in urban environments. Such a task requires communication between autonomous vehicles …

Recommender systems are a classical example for machine learning applications, however,
they have not yet been used extensively in health informatics and medical scenarios. We …

Ambient assisted living (AAL) technologies present one approach to counter the challenges
of demographic change in terms of an aging population, rising care needs, and lacking care …

In this article, the public perception and acceptance of novel vehicle technologies–
autonomous driving (AD) and connected driving (CD)–is investigated. Following a multistep …

The fast progress of smart devices and applications in the mobility sector open up a huge
potential for mobility services that allow for an individualization of mobility patterns. In …

Today, we are on the edge of increasing population and urbanization with an increasing
portion of older people. These far-reaching societal developments necessitate novel mobility …

Integrating autonomous vehicles (AVs) into public roads presents profound implications for
pedestrian safety and the broader acceptance of this emerging technology. This work …

In intelligent autonomous mobility, drivers become passengers tailoring their journey to
individual needs. With no human driver on board, the question arises how the exchange of …