Opt Lett. 2023 May 15;48(10):2587-2590. doi: 10.1364/OL.487477.
We present a scale-adaptive three-dimensional (3D) imaging architecture for coherent light detection and ranging (lidar) that incorporates Risley-prism-based beam scanning. An inverse design paradigm from beam steering to prism rotation is developed for demand-oriented beam scan pattern generation and prism motion law formulation, which allows the lidar to perform 3D imaging with adaptive scale and configurable resolution. By combining flexible beam manipulation with simultaneous distance and velocity measurement, the proposed architecture can achieve both large-scale scene reconstruction for situational awareness and small-scale object identification against long range. The experiment results demonstrate that our architecture enables the lidar to recover a 3D scene in a ±30° field of view and also focus on distant objects at over 500 m with spatial resolution up to 1.1 cm.
我们提出了一种用于相干光探测和测距（lidar）的尺度自适应三维（3D）成像架构，该架构结合了 Risley 棱镜光束扫描。从光束转向到棱镜旋转的逆设计范例用于需求导向的光束扫描模式生成和棱镜运动规律制定，这使得 lidar 能够以自适应的比例和可配置的分辨率执行 3D 成像。通过结合灵活的光束操纵和同时的距离和速度测量，所提出的架构可以实现情景感知的大规模场景重建和远距离的小物体识别。实验结果表明，我们的架构使 lidar 能够在±30°的视场中恢复 3D 场景，并且还可以聚焦在 500 米以上的远距离物体上，空间分辨率高达 1.1 厘米。
