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<p>Parallel light detection and ranging (LiDAR) is widely adopted for its low computational burden and rapid three-dimensional (3D) reconstruction. Yet, it remains constrained by inter-channel crosstalk and limited long-distance performance. Here, we introduce a spectrally encoded parallel LiDAR based on super-bunching light, exhibiting negligible cross-correlation between wavelengths, enabling quasi-orthogonal channel division without crosstalk. This approach supports robust parallel ranging, rapid and accurate 3D reconstruction, and effective target classification. Our scheme achieves high-precision ranging with errors as low as 4 mm and can detect targets moving at velocities as low as 5 mm/s. It further enables reliable ranging and 3D imaging beyond 40 m, with exceptional anti-interference performance, even when noise exceeds the echo signal by three orders of magnitude. Combining high precision, sensitivity, long-range detection, dynamic target acquisition, precise 3D reconstruction, and robust anti-interference, our LiDAR offers significant potential for enhancing environmental perception technologies.</p>

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Spectrally encoded parallel LiDAR driven by super-bunching light

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年12月26日

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  • Xuedong Zhang,
  • Xinghui Liu,
  • Xiangdong Li,
  • Yuanyuan Li,
  • Yunrui Song,
  • Aoni Wei,
  • Kaige Hu,
  • Wenxue Zhang,
  • Zhichun Yang,
  • Jianyong Hu,
  • Ruiyun Chen,
  • Guofeng Zhang,
  • Jie Ma,
  • Liantuan Xiao,
  • Suotang Jia,
  • Chengbing Qin

摘要

Parallel light detection and ranging (LiDAR) is widely adopted for its low computational burden and rapid three-dimensional (3D) reconstruction. Yet, it remains constrained by inter-channel crosstalk and limited long-distance performance. Here, we introduce a spectrally encoded parallel LiDAR based on super-bunching light, exhibiting negligible cross-correlation between wavelengths, enabling quasi-orthogonal channel division without crosstalk. This approach supports robust parallel ranging, rapid and accurate 3D reconstruction, and effective target classification. Our scheme achieves high-precision ranging with errors as low as 4 mm and can detect targets moving at velocities as low as 5 mm/s. It further enables reliable ranging and 3D imaging beyond 40 m, with exceptional anti-interference performance, even when noise exceeds the echo signal by three orders of magnitude. Combining high precision, sensitivity, long-range detection, dynamic target acquisition, precise 3D reconstruction, and robust anti-interference, our LiDAR offers significant potential for enhancing environmental perception technologies.