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Advances in Silicon-Based Integrated Lidar
Silicon-based Lidar is an ideal way to reduce the volume of the Lidar and realize monolithic integration. It removes the moving parts in the conventional device and realizes solid-state beam steering. The advantages of low cost, small size, and high beam steering speed have attracted the attention o...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10346769/ https://www.ncbi.nlm.nih.gov/pubmed/37447770 http://dx.doi.org/10.3390/s23135920 |
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author | Hu, Mingxuan Pang, Yajun Gao, Long |
author_facet | Hu, Mingxuan Pang, Yajun Gao, Long |
author_sort | Hu, Mingxuan |
collection | PubMed |
description | Silicon-based Lidar is an ideal way to reduce the volume of the Lidar and realize monolithic integration. It removes the moving parts in the conventional device and realizes solid-state beam steering. The advantages of low cost, small size, and high beam steering speed have attracted the attention of many researchers. In order to facilitate researchers to quickly understand the research progress and direction, this paper mainly describes the research progress of silicon-based integrated Lidar, including silicon-based optical phased array Lidar, silicon-based optical switch array Lidar, and continuous frequency-modulated wave Lidar. In addition, we also introduced the scanning modes and working principles of other kinds of Lidar, such as the Micro-Electro-Mechanical System, mechanical Lidar, etc., and analyzed the characteristics of the Lidars above. Finally, we summarized this paper and put forward the future expectations of silicon-based integrated Lidar. |
format | Online Article Text |
id | pubmed-10346769 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-103467692023-07-15 Advances in Silicon-Based Integrated Lidar Hu, Mingxuan Pang, Yajun Gao, Long Sensors (Basel) Review Silicon-based Lidar is an ideal way to reduce the volume of the Lidar and realize monolithic integration. It removes the moving parts in the conventional device and realizes solid-state beam steering. The advantages of low cost, small size, and high beam steering speed have attracted the attention of many researchers. In order to facilitate researchers to quickly understand the research progress and direction, this paper mainly describes the research progress of silicon-based integrated Lidar, including silicon-based optical phased array Lidar, silicon-based optical switch array Lidar, and continuous frequency-modulated wave Lidar. In addition, we also introduced the scanning modes and working principles of other kinds of Lidar, such as the Micro-Electro-Mechanical System, mechanical Lidar, etc., and analyzed the characteristics of the Lidars above. Finally, we summarized this paper and put forward the future expectations of silicon-based integrated Lidar. MDPI 2023-06-26 /pmc/articles/PMC10346769/ /pubmed/37447770 http://dx.doi.org/10.3390/s23135920 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Hu, Mingxuan Pang, Yajun Gao, Long Advances in Silicon-Based Integrated Lidar |
title | Advances in Silicon-Based Integrated Lidar |
title_full | Advances in Silicon-Based Integrated Lidar |
title_fullStr | Advances in Silicon-Based Integrated Lidar |
title_full_unstemmed | Advances in Silicon-Based Integrated Lidar |
title_short | Advances in Silicon-Based Integrated Lidar |
title_sort | advances in silicon-based integrated lidar |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10346769/ https://www.ncbi.nlm.nih.gov/pubmed/37447770 http://dx.doi.org/10.3390/s23135920 |
work_keys_str_mv | AT humingxuan advancesinsiliconbasedintegratedlidar AT pangyajun advancesinsiliconbasedintegratedlidar AT gaolong advancesinsiliconbasedintegratedlidar |