Reimagining machine perception by using ultra-sensitive single-photon imaging to see farther, faster, and in conditions where conventional sensors fail.
Extreme Sensing with Single Photons explores how next-generation imaging systems can extract meaningful information from the smallest possible amounts of light. By combining single-photon LiDAR, transient imaging, computational imaging, and machine learning, this research develops new ways to reconstruct 3D scenes, detect and localize objects, and sense beyond direct line of sight. Working with sparse, noisy, and low-resolution measurements from emerging low-cost SPAD sensors, the project pushes the limits of active perception in challenging real-world environments. The result is a new foundation for robust sensing systems with applications in autonomous navigation, handheld scanning, hidden-object detection, and environmental monitoring.
Camera Culture research in extreme sensing with single-photon cameras.
Enhancing Autonomous Navigation by Imaging Hidden Objects Using Single-Photon LiDAR, Young et al. ICRA 2025
Blurred LiDAR for Sharper 3D: Robust Handheld 3D Scanning with Diffuse LiDAR and RGB, Behari et al. CVPR 2025
PlatoNeRF: 3D Reconstruction in Plato's Cave via Single-View Two-Bounce LiDAR, Klinghoffer et al. CVPR 2024
Handheld mapping of specular surfaces using consumer-grade flash lidar, Lin et al. ICCP 2024
Role of transients in two-bounce non-line-of-sight imaging, Somasundaram et al. CVPR 2023
Measurement of snowpack density, grain size, and black carbon concentration using time-domain diffuse optics, Henley et al. Journal of Glaciology 2025
Bounce-flash lidar, Henley et al. Transactions on Computational Imaging 2022