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Spectral-acoustic-coordinated astigmatic metalens for wide field-of-view and high spatiotemporal resolution 3D imaging

Shujian Gong, Yinghui Guo, Xiaoyin Li, Mingbo Pu, Peng Tian, Qi Zhang, L. M. Chen, Wenyi Ye, Heping Liu, Fei Zhang, Mingfeng Xu

Year
2026
Citations
9
Access
Open access

Abstract

Metasurface-based light detection and ranging (LiDAR) is essential for high spatiotemporal resolution three-dimensional (3D) imaging in robotic and autonomous systems. Recent advances in inertia-free scanning techniques-such as acousto-optic and spectral scanning-have propelled the field forward. Nevertheless, key spatiotemporal metrics, including point acquisition rate (PAR), field-of-view (FOV), and imaging resolution, remain fundamentally constrained. These challenges are particularly acute in dual-axis LiDARs, where inter-axis rate mismatch and beam astigmatism degrade temporal and spatial resolution, respectively. Here, we present a wide-FOV, high spatiotemporal resolution LiDAR architecture with astigmatic metalens (AML) coordinated spectral-acousto-optic scanning. Consequently, a frame-wise point acquisition rate (FPAR) of 36.6 MHz (∼5-fold improvement over existing reports) and a wide FOV of 102° are simultaneously achieved. This breakthrough redefines LiDAR's potential for ultra-high-speed, high-precision perception, enhancing applications such as autonomous driving with improved obstacle detection and safety at high speeds.

Keywords

Field of viewTemporal resolutionRangingImage resolutionLidarObstacleKey (lock)SuperresolutionHigh resolution

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