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 …

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

Intelligent transportation system significantly relies on accurate positioning information of
land vehicles for both safety and non-safety related applications, such as hard-braking …

Vehicle self-positioning is of significant importance for intelligent transportation applications.
However, accurate positioning (eg, with lane-level accuracy) is very difficult to obtain due to …

In this paper, we proposed a novel technique to realize accurate and robust position and
pose estimation in a dense urban area. The technique make the best use of averaging effect …

Tunnels present significant challenges for the navigation and localization of autonomous
vehicles due to the lack of GNSS signals and the presence of uniform scene textures …

Autonomous driving support systems and self-driving cars require the determination of
reliable vehicle positions with high accuracy. The real time kinematic (RTK) algorithm with …

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Reliable and accurate Perception and Localization (PL) are necessary for safe intelligent
transportation systems. The current vehicle-based PL techniques in autonomous vehicles …

This study proposes a method for estimating the positions of vehicles in urban environments
with high accuracy. We employ satellite positioning by GNSS for position estimation. Real …