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.
Original language | English |
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Title of host publication | Emerging Digital Micromirror Device Based Systems and Applications X |
Editors | Benjamin L. Lee, Michael R. Douglass |
Publisher | SPIE |
ISBN (Electronic) | 9781510615779 |
DOIs | |
State | Published - 2018 |
Event | Emerging Digital Micromirror Device Based Systems and Applications X 2018 - San Francisco, United States Duration: 29 Jan 2018 → 30 Jan 2018 |
Publication series
Name | Proceedings of SPIE - The International Society for Optical Engineering |
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Volume | 10546 |
ISSN (Print) | 0277-786X |
ISSN (Electronic) | 1996-756X |
Conference
Conference | Emerging Digital Micromirror Device Based Systems and Applications X 2018 |
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Country/Territory | United States |
City | San Francisco |
Period | 29/01/18 → 30/01/18 |
Bibliographical note
Publisher Copyright:© 2018 SPIE.
Keywords
- LiDAR
- compressed sensing
- imaging
- photon counting