Multimodal data fusion (MMDF) is the process of combining disparate data streams (of
different dimensionality, resolution, type, etc.) to generate information in a form that is more …

This paper presents a novel optimal reference tracking control approach resulted from the
combination of a popular policy gradient Reinforcement Learning (RL) algorithm, namely …

Nowadays, the potential benefits and implementation of autonomous driving have attracted
widespread attention from both industry and academia. This study will solve view-invariant …

The Internet of Vehicles (IoV) and the Internet of Flying Vehicles (IoFV) are integral
components of intelligent transportation systems with the potential to revolutionize the way …

The rapid growth of electric vehicles and advancements in self-driving technologies
necessitate the development of specialized infrastructure to support autonomy. Accurate …

In this paper, we provide a brief introduction to particle filter optimization (PFO). The particle
filter (PF) theory has revolutionized probabilistic state filtering for dynamic systems, while the …

Engineering practice is increasingly relied upon virtual technologies. Recent virtual
solutions ensure integration of all engineering activities using system level computer …

We propose a new parametrization of motion primitives based on Bézier curves that suits
perfectly path-planning applications (and environment exploration) of wheeled mobile …

Coverage path planning for mobile robots aims to compute the shortest path that ensures
the overlap of a given area, with applications in various domains. This paper proposes a …

Emerging concept of the so-called intelligent space (IS) offers means for use of mobile
autonomous devices like vehicles or robots in a very broad area without necessity for these …