Chen Kelan, Ji Jitao, Li Xueyun, Lin Zhiyuan, Wang Zhizhang, Sun Jiacheng, Li Jian, Huang Chunyu, Dai Pan, Cao Jitao, Chen Xiangfei, Zhu Shining, Li Tao
National Laboratory of Solid State Microstructures, Key Laboratory of Intelligent Optical Sensing and Manipulation, Jiangsu Key Laboratory of Artificial Functional Materials, College of Engineering and Applied Sciences, C ollaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing, 210093, China.
Nanophotonics. 2025 Jul 28;14(17):2901-2908. doi: 10.1515/nanoph-2025-0183. eCollection 2025 Aug.
Frequency modulated continuous wave (FMCW) light detection and ranging (LiDAR) has recently become a research hotspot in the fields of autonomous driving and intelligent perception due to its high-precision ranging and velocity measurement capabilities. However, the existing LiDAR systems are usually challenged in expanding the field-of-view (FOV), which often comes at the expense of beam quality and degrades the detection accuracy and signal-to-noise ratio. On the other hand, the complexity of data processing algorithms may introduce significant measurement inaccuracies, potentially leading to substantial deviations in the final results. These two constraints limit the performance of LiDAR in complex scenarios. To address these issues, this paper proposes a new architecture for FMCW LiDAR that employs a geometric metasurface as a polarization splitter for expanded FOV of beam steering. With the combination of mechanical scanning mirror and metasurface, the scanning FOV has been successfully enlarged from 64° × 20° to 64° × 40°. Simultaneously, millimeter-level precision was achieved in distance measurement, along with an average relative error of 9 mm/s in velocity measurement, which confirms stable and precise system performance. This approach not only broadens the scanning range but also preserves the measurement accuracy of FMCW technology. This paper innovatively combines polarization beam-splitting metasurface with FMCW technology to achieve high-precision measurement over a wide field of view, providing a promising new technical pathway for the technological evolution of future LiDAR systems.
调频连续波(FMCW)光探测与测距(LiDAR)由于其高精度测距和测速能力,最近已成为自动驾驶和智能感知领域的研究热点。然而,现有的LiDAR系统在扩大视场(FOV)方面通常面临挑战,这往往以牺牲光束质量为代价,并降低检测精度和信噪比。另一方面,数据处理算法的复杂性可能会引入显著的测量误差,从而可能导致最终结果出现较大偏差。这两个限制因素制约了LiDAR在复杂场景中的性能。为了解决这些问题,本文提出了一种用于FMCW LiDAR的新架构,该架构采用几何超表面作为偏振分束器,以扩大光束转向的视场。通过将机械扫描镜和超表面相结合,扫描视场已成功从64°×20°扩大到64°×40°。同时,距离测量实现了毫米级精度,速度测量的平均相对误差为9毫米/秒,这证实了系统性能的稳定和精确。这种方法不仅拓宽了扫描范围,还保留了FMCW技术的测量精度。本文创新性地将偏振分束超表面与FMCW技术相结合,以在宽视场内实现高精度测量,为未来LiDAR系统的技术演进提供了一条有前景的新技术途径。