PhotoniX, Volume. 5, Issue 1, 21(2024)

A planar compound eye based microsystem for high precision 3D perception

Li Zhang1...2,3, Haiyang Zhan1,2,3, Xinyuan Liu1,2,3, Hongjing Cao1,2,3, Fei Xing1,2,3,*, and Zheng You1,23 |Show fewer author(s)
Author Affiliations
  • 1Department of Precision Instrument, Tsinghua University, Beijing 100084, China
  • 2State Key Laboratory of Precision Measurement Technology and Instrument, Tsinghua University, Beijing 100084, China
  • 3Beijing Advanced Innovation Center for Integrated Circuits, Tsinghua University, Beijing 100084, China
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    Three-dimensional (3D) panoramic vision system plays a fundamental role in the biological perception of external information, and naturally becomes a key system for embodied intelligence to interact with the outside world. A binocular vision system with rotating eyeball has long baseline, large volume and weak sensitivity to motion. A compound eye system has small volume, high sensitivity to motion but poor precision. Here, a planar compound eye microsystem for high precision 3D perception is proposed by combining semiconductor manufacturing process and biological compound eye structure. Using a semiconductor planar image sensor as the sensing unit, a space-coded planar sub-eye array is designed and its sub field of view (FOV) is dynamically mapped to the image sensor. It solves the problem that a traditional vision system cannot simultaneously accommodate wide FOV with long focal length and high sensitivity to motion with high resolution. The parallax among different sub-eyes enables the system to accurately perceive and dynamically track the 3D position of the target in the range of 10 m and within the FOV of 120 ° in a single compound eye. This system is of great significance in the fields of intelligent robot and intelligent perception.

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    Li Zhang, Haiyang Zhan, Xinyuan Liu, Hongjing Cao, Fei Xing, Zheng You. A planar compound eye based microsystem for high precision 3D perception[J]. PhotoniX, 2024, 5(1): 21

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    Paper Information

    Category: Research Articles

    Received: Apr. 11, 2024

    Accepted: May. 30, 2024

    Published Online: Jan. 23, 2025

    The Author Email: Xing Fei (xingfei@mail.tsinghua.edu.cn)

    DOI:10.1186/s43074-024-00136-5

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