This article reviews and advances existing literature concerning com-puter vision and route
planning algorithms, sensing and computing technologies, and vehicle and pedestrian …

Smart mobility is an imperative facet of smart cities, and the transition of conventional
automotive systems to connected and automated vehicles (CAVs) is envisioned as one of …

In this article, we cumulate previous research findings indicating that smart transportation
networks deploy route planning and visual perception algorithms, predictive urban analytics …

The present paper's focus is the V2X (Vehicle-to-Everything) communication between traffic
light controller and road vehicles. After a brief review on the state-of-the-art V2X …

The purpose of this study is to examine road environment data, tracking control and spatial
cognition algorithms, and virtual navigation and simulation modeling tools. In this article, I …

Improving models for managing the networks of firefighting unmanned ground vehicles in
crowded areas, as a recommendation system (RS), represented a difficult challenge. This …

Fire is usually detected with fire detection systems that are used to sense one or more
products resulting from the fire such as smoke, heat, infrared, ultraviolet light radiation, or …

Self-driving vehicles must be controlled by navigation algorithms that ensure safe driving for
passengers, pedestrians and other vehicle drivers. One of the key factors to achieve this …

The purpose of the study is to analyse and compare the most common machine learning
and deep learning techniques used for computer vision 2D object classification tasks. Firstly …

This paper addresses a security control issue of connected vehicle systems subject to denial-
of-service (DoS) attacks. To deal with the bandwidth constraint, a novel dynamic event …