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A universal 3D imaging sensor on a silicon photonics platform

Author

Listed:
  • Christopher Rogers

    (Pointcloud Inc)

  • Alexander Y. Piggott

    (Pointcloud Inc)

  • David J. Thomson

    (University of Southampton)

  • Robert F. Wiser

    (Pointcloud Inc)

  • Ion E. Opris

    (Opris Consulting)

  • Steven A. Fortune

    (Pointcloud Inc)

  • Andrew J. Compston

    (Pointcloud Inc)

  • Alexander Gondarenko

    (Pointcloud Inc)

  • Fanfan Meng

    (University of Southampton)

  • Xia Chen

    (University of Southampton)

  • Graham T. Reed

    (University of Southampton)

  • Remus Nicolaescu

    (Pointcloud Inc)

Abstract

Accurate three-dimensional (3D) imaging is essential for machines to map and interact with the physical world1,2. Although numerous 3D imaging technologies exist, each addressing niche applications with varying degrees of success, none has achieved the breadth of applicability and impact that digital image sensors have in the two-dimensional imaging world3–10. A large-scale two-dimensional array of coherent detector pixels operating as a light detection and ranging system could serve as a universal 3D imaging platform. Such a system would offer high depth accuracy and immunity to interference from sunlight, as well as the ability to measure the velocity of moving objects directly11. Owing to difficulties in providing electrical and photonic connections to every pixel, previous systems have been restricted to fewer than 20 pixels12–15. Here we demonstrate the operation of a large-scale coherent detector array, consisting of 512 pixels, in a 3D imaging system. Leveraging recent advances in the monolithic integration of photonic and electronic circuits, a dense array of optical heterodyne detectors is combined with an integrated electronic readout architecture, enabling straightforward scaling to arbitrarily large arrays. Two-axis solid-state beam steering eliminates any trade-off between field of view and range. Operating at the quantum noise limit16,17, our system achieves an accuracy of 3.1 millimetres at a distance of 75 metres when using only 4 milliwatts of light, an order of magnitude more accurate than existing solid-state systems at such ranges. Future reductions of pixel size using state-of-the-art components could yield resolutions in excess of 20 megapixels for arrays the size of a consumer camera sensor. This result paves the way for the development and proliferation of low-cost, compact and high-performance 3D imaging cameras that could be used in applications from robotics and autonomous navigation to augmented reality and healthcare.

Suggested Citation

  • Christopher Rogers & Alexander Y. Piggott & David J. Thomson & Robert F. Wiser & Ion E. Opris & Steven A. Fortune & Andrew J. Compston & Alexander Gondarenko & Fanfan Meng & Xia Chen & Graham T. Reed , 2021. "A universal 3D imaging sensor on a silicon photonics platform," Nature, Nature, vol. 590(7845), pages 256-261, February.
  • Handle: RePEc:nat:nature:v:590:y:2021:i:7845:d:10.1038_s41586-021-03259-y
    DOI: 10.1038/s41586-021-03259-y
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    Citations

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    Cited by:

    1. Dawoon Jeong & Hansol Jang & Min Uk Jung & Taeho Jeong & Hyunsoo Kim & Sanghyeok Yang & Janghyeon Lee & Chang-Seok Kim, 2024. "Spatio-spectral 4D coherent ranging using a flutter-wavelength-swept laser," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    2. Grigory Lihachev & Johann Riemensberger & Wenle Weng & Junqiu Liu & Hao Tian & Anat Siddharth & Viacheslav Snigirev & Vladimir Shadymov & Andrey Voloshin & Rui Ning Wang & Jijun He & Sunil A. Bhave & , 2022. "Low-noise frequency-agile photonic integrated lasers for coherent ranging," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    3. Renato Juliano Martins & Emil Marinov & M. Aziz Ben Youssef & Christina Kyrou & Mathilde Joubert & Constance Colmagro & Valentin Gâté & Colette Turbil & Pierre-Marie Coulon & Daniel Turover & Samira K, 2022. "Metasurface-enhanced light detection and ranging technology," Nature Communications, Nature, vol. 13(1), pages 1-8, December.
    4. Xiaoli Jing & Ruizhe Zhao & Xin Li & Qiang Jiang & Chengzhi Li & Guangzhou Geng & Junjie Li & Yongtian Wang & Lingling Huang, 2022. "Single-shot 3D imaging with point cloud projection based on metadevice," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    5. Phillip S. Blakey & Han Liu & Georgios Papangelakis & Yutian Zhang & Zacharie M. Léger & Meng Lon Iu & Amr S. Helmy, 2022. "Quantum and non-local effects offer over 40 dB noise resilience advantage towards quantum lidar," Nature Communications, Nature, vol. 13(1), pages 1-8, December.
    6. Anton Lukashchuk & Johann Riemensberger & Maxim Karpov & Junqiu Liu & Tobias J. Kippenberg, 2022. "Dual chirped microcomb based parallel ranging at megapixel-line rates," Nature Communications, Nature, vol. 13(1), pages 1-8, December.
    7. Xiaohua Feng & Yayao Ma & Liang Gao, 2022. "Compact light field photography towards versatile three-dimensional vision," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    8. Zicheng Shen & Feng Zhao & Chunqi Jin & Shuai Wang & Liangcai Cao & Yuanmu Yang, 2023. "Monocular metasurface camera for passive single-shot 4D imaging," Nature Communications, Nature, vol. 14(1), pages 1-8, December.
    9. Sudip Shekhar & Wim Bogaerts & Lukas Chrostowski & John E. Bowers & Michael Hochberg & Richard Soref & Bhavin J. Shastri, 2024. "Roadmapping the next generation of silicon photonics," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    10. Anton Lukashchuk & Halil Kerim Yildirim & Andrea Bancora & Grigory Lihachev & Yang Liu & Zheru Qiu & Xinru Ji & Andrey Voloshin & Sunil A. Bhave & Edoardo Charbon & Tobias J. Kippenberg, 2024. "Photonic-electronic integrated circuit-based coherent LiDAR engine," Nature Communications, Nature, vol. 15(1), pages 1-9, December.

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