Recently, the population density in cities has increased at a higher pace. According to the
United Nations Population Fund, cities accommodated 3.3 billion people (54%) of the global …

Prospective customers are becoming more concerned about safety and comfort as the
automobile industry swings toward automated vehicles (AVs). A comprehensive evaluation …

This paper presents initial work on a context-dependent driver distraction detection
algorithm called AttenD2. 0, which extends the original AttenD algorithm with elements from …

Smart cities work under a more resource-efficient management and economy than ordinary
cities. As such, advanced business models have emerged around smart cities, which have …

The careless activity of drivers in logistics transportation is a primary reason inside the
vehicle during road accidents. This research aims to reduce the number of accidents caused …

Featured Application High definition (HD) map, advanced driver assistance systems
(ADASs), localization, iterative closest point (ICP), automated driving vehicle. Abstract This …

A row‐following system based on end‐to‐end learning for an agricultural robot in an apple
orchard was developed in this study. Instead of dividing the navigation into multiple …

The behavior decision-making algorithm plays an important role in ensuring the safe driving
of autonomous vehicles. However, existing behavior decision-making methods lack the …

A Physics-Informed Neural Network (PINN) provides a distinct advantage by synergizing
neural networks' capabilities with the problem's governing physical laws. In this study, we …

Adversarial attacks on Deep Neural Networks represent a critical challenge in the adoption
of DNNs in critical applications. However,-and in spite of its great need,-there is significant …