  Seeing around corners, also known as non-line-of-sight (NLOS) imaging is a
computational method to resolve or recover objects hidden around corners.
Recent advances in imaging around corners have gained significant interest.
This paper reviews different types of existing NLOS imaging techniques and
discusses the challenges that need to be addressed, especially for their
applications outside of a constrained laboratory environment. Our goal is to
introduce this topic to broader research communities as well as provide
insights that would lead to further developments in this research area.
