FMCW-LiDAR (Frequency-modulated continuous wave - Light detection and ranging) measures object distance by measuring the temporal interferogram with frequency-swept laser beams. However, to capture 3D scenes, most current FMCW-LiDARs rely on raster scanning of the laser beam, which compromises either image resolution or volumetric frame rate. In this work, we present a scanning-free FMCW-LiDAR by introducing a computational imaging framework. Specifically, the 3D scene is captured using a one-dimensional linear sensor integrated with a series of lens and prism arrays. Additionally, we employ the compressed sensing principle, enabling us to efficiently capture high-resolution 3D scenes.
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