Autonomous driving demands accurate perception and safe decision-making. To achieve
this, automated vehicles are typically equipped with multiple sensors (eg, cameras, Lidar …

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 …

Data from infrastructure sensors can significantly improve the field of view for intelligent
vehicles (IV), both in terms of range and completeness. In the MEC-View project, we …

The global healthcare landscape is continuously changing throughout the world as
technology advances, leading to a gradual change in lifestyle. Several diseases such as …

Fusion of images acquired using different sensors generates a single output with enhanced
information for high-level visual perception applications. The transformer architecture has …

Smart cities (SCs), as a novel solution built on top of large-scale Internet of Things (IoT)
systems, experiences a rapid growth worldwide, in which, a synergetic orchestration among …

In this article, we cumulate previous research findings indicating that virtual process
optimization requires augmented reality tools, data-driven predictive modeling techniques …

Deep multimodal fusion by using multiple sources of data for classification or regression has
exhibited a clear advantage over the unimodal counterpart on various applications. Yet …

One of the most challenging topics in Natural Language Processing (NLP) is visually-
grounded language understanding and reasoning. Outdoor vision-and-language navigation …

Urbanization and knowledge economy have highly marked the new millennium.
Urbanization brings new challenges which can be addressed by the knowledge economy …