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    Area of Science:

    • Optics and Photonics
    • Computer Vision
    • Signal Processing

    Background:

    • Single-pixel imaging offers advantages for Light Detection and Ranging (Lidar) systems.
    • Compressed Sensing (CS) enables high-resolution imaging with reduced data acquisition.
    • Accurate depth mapping is crucial for advanced Lidar applications.

    Purpose of the Study:

    • To demonstrate a phase ranging system combined with CS for high-precision 3D imaging.
    • To achieve fast depth measurement with minimal sampling.
    • To validate the system's performance in terms of resolution and accuracy.

    Main Methods:

    • Utilized amplitude-modulated continuous-wave laser illumination.
    • Employed a single-pixel detector and a structured detection architecture.
    • Implemented CS algorithms for 3D image reconstruction with a 5% sampling rate.

    Main Results:

    • Achieved high-precision 3D image reconstruction at 128x128 resolution.
    • Demonstrated fast depth measurement capabilities.
    • Identified a minimum target width of 0.2 cm, corresponding to a resolving angle of 0.33 mrad.

    Conclusions:

    • The integrated phase ranging and CS system provides accurate and fast 3D imaging.
    • This approach significantly reduces data requirements for Lidar systems.
    • The system shows potential for real-world applications in continuous-wave Lidar.