.png){kind=icon}
返回
Frequency-modulated continuous-wave LiDAR compressive depth-mapping
.png){kind=icon}
OA
AI
DOI：10.1364/OE.26.015420.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
We present an inexpensive architecture for converting a frequency-modulated continuous-wave LiDAR system into a compressive-sensing based depth-mapping camera. Instead of raster scanning to obtain depth-maps, compressive sensing is used to significantly reduce the number of measurements. Ideally, our approach requires two difference detectors. Due to the large flux entering the detectors, the signal amplification from heterodyne detection, and the effects of background subtraction from compressive sensing, the system can obtain higher signal-to-noise ratios over detector-array based schemes while scanning a scene faster than is possible through raster-scanning. Moreover, by efficiently storing only 2m data points from m < n measurements of an n pixel scene, we can easily extract depths by solving only two linear equations with efficient convex-optimization methods. (C) 2018 Optical Society of America under the terms of the OSA Open Access Publishing Agreement
Keyword:
LASER-RADAR
RESOLUTION
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.3
论文数:
6.1W
被引数:
14.3W
机构
引用论文
.png){kind=icon}
分享收藏分享收藏
查看更多内容