AI-enhanced non-line of sight imaging

Pierfrancesco Ulpiani; Massimiliano Proietti; Luigi Sabetta; Lorenzo Francesco Livi; Ugo Zanforlin; Riccardo Romanelli; Massimiliano Dispenza

doi:10.1117/12.3021757

6 June 2024 AI-enhanced non-line of sight imaging

Pierfrancesco Ulpiani, Massimiliano Proietti, Luigi Sabetta, Lorenzo Francesco Livi, Ugo Zanforlin, Riccardo Romanelli, Massimiliano Dispenza

Author Affiliations +

Proceedings Volume PC12993, Quantum Technologies 2024; PC129930S (2024) https://doi.org/10.1117/12.3021757
Event: SPIE Photonics Europe, 2024, Strasbourg, France

Conference Poster

Abstract

The quantum technology unit of the Leonardo Labs has designed an imaging system that can be employed in Non-Line-of-Sight scenarios where an obstacle is in between the target and the imager. In this scenario, laser pulses are used to scan surfaces that scatter and diffuse the light into the concealed areas, then the photons that interact with the target and are back-reflected to the imager are detected. The hidden area is finally retrieved with a sophisticated computational algorithm that tackles the inverse problem, unveiling real-time images of hidden targets. An Artificial Intelligence approach further optimizes target profile reconstruction using correlation from high-resolution acquisitions, potentially transforming defense and security applications. Leonardo's quantum imaging technology has the power to reveal and track previously imperceptible targets, as evidenced by real-time non-line-of-sight imaging experiments.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Pierfrancesco Ulpiani, Massimiliano Proietti, Luigi Sabetta, Lorenzo Francesco Livi, Ugo Zanforlin, Riccardo Romanelli, and Massimiliano Dispenza "AI-enhanced non-line of sight imaging", Proc. SPIE PC12993, Quantum Technologies 2024, PC129930S (6 June 2024); https://doi.org/10.1117/12.3021757

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available