Expanding non-line-of-sight imaging distance without compromising resolution

As an emerging paradigm in computational imaging, non-line-of-sight (NLOS) imaging demonstrates a distinctive capacity to unveil objects hidden outside the conventional line of sight, which has great application potential in fields such as autonomous driving, medical diagnosis, and disaster rescue. Nevertheless, a comprehensive exploration of factors limiting resolution in NLOS imaging remains absent. Here, to addresses this gap, a method is proposed to improve the resolution by increasing the size of the scanning area instead of reducing the time jitter of the imaging system. Both simulations and experiments confirm the feasibility of the method. Additionally, an experiment of NLOS imaging over 10 meters is conducted to demonstrate the potential to expand imaging distance without compromising resolution.