IF 14.7 1区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Yifan Qi, Xingyu Jia, Jingyi Wang, Weiwei Yang, Yihan Miao, Xinlun Cai, Guanhao Wu, Yang Li
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引用次数: 0

摘要

人工智能驱动的自动驾驶汽车必须高速、高精度地感知瞬息万变的三维环境。然而,采集速率和非模糊范围之间的权衡使得大多数激光雷达无法实现高速绝对距离测量。在此,我们展示了一种支持超快绝对距离测量的铌酸锂电光梳理方法--重复率调制频率梳理(RRMFC)。我们实现了一个集成的铌酸锂相位调制器,其半波电压为 1.47 V,可产生 50 多个边带,重复率可在 4 μs 内调整到 12 GHz 以上。利用这些独特的功能,RRMFC 可以通过检测时域中的干扰峰来相干地测量距离,从而实现高达 1.79 GHz 的采集速率和较大的非模糊范围。这种单通道采集速率比最先进的绝对距离测量系统高出 4 个数量级以上。因此,基于 RRMFC 的激光雷达可以让自动驾驶汽车使用单个激光器感知瞬息万变的环境细节。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

1.79-GHz acquisition rate absolute distance measurement with lithium niobate electro-optic comb

1.79-GHz acquisition rate absolute distance measurement with lithium niobate electro-optic comb

AI-empowered autonomous vehicles must sense the fast-changing three-dimensional environments with high speed and precision. However, the tradeoff between acquisition rate and non-ambiguity range prevents most LiDARs from achieving high-speed absolute distance measurement. Here we demonstrate a lithium niobate electro-optic comb-enabled ultrafast absolute distance measurement method — repetition rate-modulated frequency comb (RRMFC). We achieved an integrated lithium-niobate phase modulator with a half-wave voltage of 1.47 V, leading to over 50 sidebands and a repetition rate can be tuned over 12 GHz in 4 μs. Leveraging these unique features, RRMFC can coherently measure the distance by detecting interference peaks in the time domain, leading to acquisition rates up to 1.79 GHz and a large non-ambiguity range. This single-channel acquisition rate is over 4 orders of magnitude higher than the state-of-the-art absolute distance measurement system. Thus, RRMFC-based LiDAR allows autonomous vehicles to sense the fine details of a fast-changing environment using a single laser.

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来源期刊
Nature Communications
Nature Communications Biological Science Disciplines-
CiteScore
24.90
自引率
2.40%
发文量
6928
审稿时长
3.7 months
期刊介绍: Nature Communications, an open-access journal, publishes high-quality research spanning all areas of the natural sciences. Papers featured in the journal showcase significant advances relevant to specialists in each respective field. With a 2-year impact factor of 16.6 (2022) and a median time of 8 days from submission to the first editorial decision, Nature Communications is committed to rapid dissemination of research findings. As a multidisciplinary journal, it welcomes contributions from biological, health, physical, chemical, Earth, social, mathematical, applied, and engineering sciences, aiming to highlight important breakthroughs within each domain.
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