Work

Spectrally encoded parallel LiDAR driven by super-bunching light

Year: 2025

Type: article

Abstract: 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. The authors leverage a super-bunching light to develop a spectrally encoded parallel LiDAR that achieves crosstalk-free optical channel division and supports effective long-range detection beyond conventional pulse-period limitations without requiring additional encoding or decoding.

Source: Nature Communications

DOI: 10.1038/s41467-025-67926-8