The blossoming development of connected vehicles and the prolific infusion of artificial
intelligence, machine learning, and deep learning computation mechanisms in-car …

Planning of future costs is essential to any organization, especially those committed to a
zerocarbon future. This case study describes the development of a joint-level cost predictive …

Autonomous driving (AD) is an emerging technology promising to revolutionize the future of
transportation. Apart from offering an opportunity for improved road safety through the …

In the automotive domain, the trend of ECUs becoming central units facilitating deployment
of functionalities sliced up across domains and their interlinking makes MC soberly complex …

However, the development of fully autonomous driving, as anticipated shortly, still poses
several partly unsolved computational, technological, and physical problems. The main one …

Recent work has shown that contemporary machine learning models are capable of highly
human-like performance on a variety of real-world tasks, including complex multi-agent …

Electric vehicles (EVs) have become a popular mode of transportation due to the decreasing
cost of energy storage. However, this decrease in energy storage cost has led to an increase …

Corporate networks face an increasing number, diversity, and sophistication of threats.
Classical perimeter security mechanisms are less effective or even counter-productive …

AI-driven dynamic trajectory planning and control systems are the keys to enhancing safety
and performance for the next generation of autonomous vehicles. The growing demand for …

In the automotive domain, the trend of ECUs becoming central units facilitating deployment
of functionalities sliced up across domains and their interlinking makes MC soberly complex …