@inproceedings{ad82e402363f44f4a24597348e8680a8,
title = "Low intensity LiDAR using compressed sensing and a photon number resolving detector",
abstract = "LiDAR (laser based radar) systems are a major part of many new real-world interactive systems, one of the most notable being autonomous cars. The current market LiDAR systems are limited by detector sensitivity: when output power is at eye-safe levels, the range is limited. Long range operation also slows image acquisition as ight-time increases. We present an approach that combines a high sensitivity photon number resolving diode with machine learning and a micro-mechanical digital mirror device to achieve safe and fast long range 3D scanning.",
keywords = "LiDAR, compressed sensing, imaging, photon counting",
author = "Yoni Sher and Lior Cohen and Daniel Istrati and Eisenberg, \{Hagai S.\}",
note = "Publisher Copyright: {\textcopyright} 2018 SPIE.; Emerging Digital Micromirror Device Based Systems and Applications X 2018 ; Conference date: 29-01-2018 Through 30-01-2018",
year = "2018",
doi = "10.1117/12.2289847",
language = "الإنجليزيّة",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Lee, \{Benjamin L.\} and Douglass, \{Michael R.\}",
booktitle = "Emerging Digital Micromirror Device Based Systems and Applications X",
address = "الولايات المتّحدة",
}