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Analytic model for optimizing a long-range, pulsed LiDAR scanner for small object detection.

Alain Quentel, Olivier Maurice, Xavier Savatier

    Applied Optics
    |September 11, 2019
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    Summary
    This summary is machine-generated.

    This study optimizes pulsed LiDAR for small object detection by minimizing laser power. It provides an analytic expression for system design, ensuring high detection probability at specified refresh rates.

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    Area of Science:

    • Optical Engineering
    • Remote Sensing
    • Robotics

    Background:

    • Pulsed LiDAR systems are crucial for object detection.
    • Optimizing LiDAR performance for small, distant objects remains a challenge.
    • System parameters significantly impact detection probability and range.

    Purpose of the Study:

    • To develop an analytic expression for optimizing monostatic, incoherent pulsed LiDAR scanners.
    • To minimize laser mean power for small object detection.
    • To analyze the impact of refresh rate and distance on detection probability.

    Main Methods:

    • Utilized a hexagonal raster-scan pattern.
    • Derived an analytic expression for link budget constraints.
    • Minimized laser mean power by adjusting beam divergence and collection efficiency.
    • Developed an expression for probability of detection.

    Main Results:

    • An optimized analytic expression for pulsed LiDAR scanner design was established.
    • Laser mean power was minimized through adjustments in beam divergence and mirror diameter.
    • The relationship between refresh rate, distance, and detection probability was quantified.
    • A cutoff distance expression was defined.

    Conclusions:

    • The study provides a method for optimizing LiDAR systems for small object detection.
    • The derived expressions enable efficient system design, balancing power, range, and detection probability.
    • This research offers a comprehensive overview of LiDAR system capabilities for specific applications.