In recent years, the automotive industry has witnessed a significant paradigm shift with the
integration of Machine Learning (ML) techniques into various aspects of vehicle design and …

The ever-increasing number of vehicles on the road necessitates continuous advancements
in automotive safety technologies. Machine learning (ML) presents a transformative …

Abstract Machine Learning (ML) is revolutionizing the transportation sector, offering
innovative solutions to enhance efficiency, safety, and sustainability in the mobility …

Abstract Machine Learning (ML) based technologies are increasingly being used to fulfill
safety-critical functions in autonomous and advanced driver assistance systems (ADAS) …

Machine learning (ML) applications generate a continuous stream of success stories from
various domains. ML enables many novel applications, also in safety-critical contexts …

As our society becomes more automated and technology efficient, the need to implement
safe engineering solutions become paramount. Whilst real-time machine learning is being …

Increasingly strict legislation for greenhouse gas and real-world pollutant emissions makes it
necessary to develop fuel-efficient and robust control solutions for future automotive …

In more aspects of daily life than one may think, the use of machine learning (ML) is
widespread. More decisions are being made using solid evidence as a result of the use of …

Autonomous driving technology has witnessed remarkable advancements in recent years,
largely due to the integration of machine learning (ML) techniques. This paper provides a …

Abstract The development of Advance Driver Assistance Systems (ADAS) and Automated
Driving Systems (ADS) in the automotive industry heavily relies on Machine Learning and …