In order to realize intelligent vehicular transport networks and self driving cars, connected
autonomous vehicles (CAVs) are required to be able to estimate their position to the nearest …

Traffic surveillance cameras are the eyes of the Intelligent Transportation Systems (ITS).
However, they are currently isolated and can only extract information from each of their fixed …

Driving space for autonomous vehicles (AVs) is a simplified representation of real driving
environments that helps facilitate driving decision processes. Existing literatures present …

Most applications and services of Cooperative Intelligent Transport Systems (C-ITS) rely on
accurate and continuous vehicle location information. The traditional localization method …

Autonomous navigation is one of the most challenging competencies required of a mobile
robot. In order to accomplish successful navigation, a mobile robot must be competent in the …

Indoor device-free localization systems utilizing received signal strength indicator (RSSI)
have become mainstream because of their low pricing, low complexity, low effort, low …

There exists an electromagnetic shielding effect on radio signals in a tunnel, which results in
no satellite positioning signal in the tunnel scenario. Moreover, because vehicles always …

In this article we study the use of the Support Vector Machine technique to estimate the
probability of the reception of a given transmission in a Vehicular Ad hoc NETwork (VANET) …

In this paper, we propose a multi-stage localization technique that enables to determine the
position of a Target User Equipment (T-UE) with harsh channel conditions through the …

High-precision positioning of driving vehicle is an important problem in traffic tunnels where
GNSS signal is not available. It becomes more and more urgent to solve the problem when …