  Telecommunications and computer vision have evolved separately so far. Yet,
with the shift to sub-terahertz (sub-THz) and terahertz (THz) radio
communications, there is an opportunity to explore computer vision technologies
together with radio communications, considering the dependency of both
technologies on Line of Sight. The combination of radio sensing and computer
vision can address challenges such as obstructions and poor lighting. Also,
machine learning algorithms, capable of processing multimodal data, play a
crucial role in deriving insights from raw and low-level sensing data, offering
a new level of abstraction that can enhance various applications and use cases
such as beamforming and terminal handovers.
  This paper introduces CONVERGE, a pioneering vision-radio paradigm that
bridges this gap by leveraging Integrated Sensing and Communication (ISAC) to
facilitate a dual "View-to-Communicate, Communicate-to-View" approach. CONVERGE
offers tools that merge wireless communications and computer vision,
establishing a novel Research Infrastructure (RI) that will be open to the
scientific community and capable of providing open datasets. This new
infrastructure will support future research in 6G and beyond concerning
multiple verticals, such as telecommunications, automotive, manufacturing,
media, and health.
