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 |
|---|---|
| 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 |
|---|---|
| Volume | 10546 |
| ISSN (Print) | 0277-786X |
| ISSN (Electronic) | 1996-756X |
Conference
| Conference | Emerging Digital Micromirror Device Based Systems and Applications X 2018 |
|---|---|
| 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