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Shaping the Amplitude and Phase of Laser Beams by Using a Phase-only Spatial Light Modulator

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Published on: January 28, 2019

Spectrally encoded parallel LiDAR driven by super-bunching light.

Xuedong Zhang^1,2, Xinghui Liu^3,4, Xiangdong Li^1,2

¹State Key Laboratory of Quantum Optics Technologies and Devices, Institute of Laser Spectroscopy, Shanxi University, Taiyuan, Shanxi, China.

Nature Communications

|December 26, 2025

Summary

This summary is machine-generated.

This study introduces a novel spectrally encoded parallel LiDAR system. It overcomes crosstalk and enhances long-distance performance for precise 3D reconstruction and target detection.

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Area of Science:

Optics and Photonics
Robotics and Autonomous Systems
Computer Vision

Background:

Parallel light detection and ranging (LiDAR) offers computational efficiency and rapid 3D reconstruction.
Existing parallel LiDAR systems face limitations due to inter-channel crosstalk and restricted long-distance capabilities.

Purpose of the Study:

To develop a spectrally encoded parallel LiDAR system that mitigates crosstalk and improves long-distance performance.
To enable robust parallel ranging, accurate 3D reconstruction, and effective target classification.

Main Methods:

Utilized super-bunching light for spectrally encoded parallel LiDAR.
Implemented quasi-orthogonal channel division based on negligible cross-correlation between wavelengths.
Demonstrated parallel ranging, 3D reconstruction, and target classification capabilities.

Main Results:

Achieved high-precision ranging with errors as low as 4 mm.
Detected targets moving at velocities as low as 5 mm/s.
Enabled reliable ranging and 3D imaging beyond 40 m with exceptional anti-interference performance.

Conclusions:

The spectrally encoded parallel LiDAR system effectively overcomes crosstalk and enhances long-distance performance.
The developed LiDAR offers high precision, sensitivity, long-range detection, and robust anti-interference capabilities.
This technology holds significant potential for advancing environmental perception systems.