Advancements in sensor technologies and digital modeling have revolutionized the process of vehicle homologation, supporting the initiatives by KBA in of virtual homologation beeing part of the evidence to support a cost-effective and time-efficient alternative to traditional physical testing. Ansys and Kontrol explore the journey from real-world scenario acquisition to the creation of intricate digital models that accurately replicate real-world conditions to regulatory compliance testing. It examines the integration of various sensing modalities such as LiDAR, radar, and cameras to test the full software stack, including sensor perception and fusion, that will ultimately define the vehicle behavior, performances, and safety in a digital testbed. Furthermore, it delves into the methodologies employed in capturing real-world scenario, replication, and exploration in simulation thanks to trustable physically accurate simulations. The benefits of virtual homologation are elucidated, including reduced development costs, accelerated time-to-market, and enhanced safety through iterative testing in diverse scenarios. Additionally, challenges such as data privacy concerns, model validation, and regulatory acceptance are addressed to provide a comprehensive understanding of the evolving landscape of virtual homologation. Through a synthesis of recent research and industry trends, this presentation offers insights into the transformative potential of leveraging sensors and digital models in streamlining the homologation process, ultimately shaping the future of automotive regulatory compliance.