Start from the peer-reviewed survey, then use the continuously updated companion survey and interactive research map to follow new methods, modalities and milestones through 2026.
Ruixu Geng, Yang Hu, and Yan Chen. APSIPA Transactions on Signal and Information Processing, 2022.
A continuously maintained companion to the 2022 paper, integrating newly verified optical, passive, learned, LiDAR, radar/RF/mmWave, acoustic, THz and emerging NLOS directions. This extension is a living project document rather than a separately peer-reviewed publication.
Each paper is a node. Color encodes publication year, node size reflects how strongly a paper sits inside the co-author network, and links connect papers that share authors. Search by paper, researcher, year or research family.
Use the trends as a guide to the repository's coverage: when activity accelerated, which research families expanded, and which researchers repeatedly appear across the curated literature.
Publication-year distribution within this curated NLOS corpus.
Active, passive, learning, RF/mmWave, acoustic and related directions.
Start with the field-defining Nature papers, then follow the experimental, algorithmic, learning and modality-expansion trajectory.
Search the complete deduplicated corpus without rendering hundreds of large cards at once.
If you find this website useful in your research, please consider citing our survey paper:
@article{geng2022recent,
title = {Recent Advances on Non-Line-of-Sight Imaging: Conventional Physical Models, Deep Learning, and New Scenes},
author = {Geng, Ruixu and Hu, Yang and Chen, Yan},
journal = {APSIPA Transactions on Signal and Information Processing},
volume = {11},
number = {1},
year = {2022},
doi = {10.1561/116.00000019}
}