Abstract The implementation of Intelligent Transport System (ITS) technology is expected to
significantly improve road safety and traffic efficiency. One of the key components of ITS is …

In the near future, multi-sensor fusion will be the core component to navigate the
autonomous driving platforms. This paper proposes new strategies to cope with the …

Continuous and reliable positioning anywhere anytime is one of the critical technologies for
autonomous driving, whereas it is challenging yet, especially in urban environments. Due to …

Intelligent transport system applications use the global navigation satellite systems (GNSSs)
to deliver the information on position, velocity, and time. With the expected deployment of …

Global navigation satellite systems (GNSS) has become a kind of positioning standard due
to the high penetration rate of this technology on mass market intelligent transportation …

While automotive original equipment manufacturers and IT companies are developing and
demonstrating self-driving cars, true autonomy will not be realised in the near future due in …

Traffic problems have mainly resulted from an increase in mobility over the last decades
involving an increase in traffic congestion and degradation of environmental conditions. The …

Real-world traffic involves diverse road users, ranging from pedestrians to heavy trucks,
necessitating effective road user classification for various applications within Intelligent …

Accurate vehicle localization is essential for connected and automated Vehicles (CAVs).
However, there are significant deficiencies in the performance of Machine Learning-based …

Abstract Global Navigation Satellite Systems (GNSS) has become a kind of positioning
standard due to the high penetration rate of this technology on mass market ITS …