Image and video data analysis has become an increasingly important research area with
applications in different domains such as security surveillance, healthcare, augmented and …

We perform a systematic literature review on testing, validation, and verification of robotic
and autonomous systems (RAS). The scope of this review covers peer-reviewed research …

Virtualized traffic via various simulation models and real‐world traffic data are promising
approaches to reconstruct detailed traffic flows. A variety of applications can benefit from the …

Traffic analysis at road intersections is an important activity in the project design and
planning phases because it allows selecting the most suitable traffic requirements and site …

As a core part of an autonomous driving system, motion planning plays an important role in
safe driving. However, traditional model-and rule-based methods lack the ability to learn …

Traffic simulation techniques play a crucial role in transportation engineering, offering a
sophisticated framework for analysing the intricate dynamics within transportation systems …

The design strategy of multi-modal technology in the automotive central control system
promotes the conversion of automotive interactive systems to smart cars. Method: Starting …

Collective movement simulations are challenging and important in many areas, including life
science, mathematics, physics, information science and public safety. In this survey, we …

Tracking and action-recognition algorithms are currently widely used in video surveillance,
monitoring urban activities and in many other areas. Their development highly relies on …

While there was great progress regarding the technology and its implementation for vehicles
equipped with automated driving systems (ADS), the problem of how to proof their safety as …