The integration of embedded systems in autonomous vehicles represents a transformative
paradigm shift in the automotive industry, offering unprecedented opportunities for …

Digital twin maps the physical plant to a real-time digital representation and facilities product
design and decision-making processes. In this paper, we propose a novel digital twin …

Teaching autonomous systems is challenging because it is a rapidly advancing cross-
disciplinary field that requires theory to be continually validated on physical platforms. For an …

With the continuous maturation and application of autonomous driving technology, a
systematic examination of open-source autonomous driving datasets becomes instrumental …

Developing autonomous driving technologies is complex and needs to be approached from
multiple directions. However, these vectors of development need to intersect at one point …

Scanning the Issue and Beyond: Parallel Driving With Software Vehicular Robots for Safety
and Smartness × Close The Infona portal uses cookies, ie strings of text saved by a browser on …

While current research and development of autonomous driving primarily focuses on
developing new features and algorithms, the transfer from isolated software components into …

An unprecedented proliferation of autonomous driving technologies has been observed in
recent years, resulting in the emergence of reliable and safe transportation services. In the …

Developing autonomous driving technologies necessitates addressing safety and cost
concerns. Both academic research and commercial applications of autonomous driving …