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October 2, 2025Open Access

Free-running vs. Synchronous: Single-Photon Lidar for High-flux 3D Imaging

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Authors

RKRuangrawee KitichotkulSBShashwath BharadwajJRJoshua Rapp

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Overview

Joint maximum likelihood estimator improves depth accuracy in free-running single-photon lidar, suggesting better performance.

Key Points

  • Free-running single-photon lidar significantly reduces estimation errors compared to synchronous systems under identical conditions.
  • Employing a joint maximum likelihood estimator for signal flux and depth enhances the performance of free-running single-photon lidar.
  • Regularization using a learned point cloud score model serves as an effective prior to boost accuracy for free-running lidar systems.
  • Simulations and experiments validate that free-running single-photon lidar operates effectively in 3D imaging applications.

Cite This Study

Kitichotkul et al. (2025) studied this question.

synapsesocial.com/papers/68de5da283cbc991d0a2073chttps://doi.org/10.48550/arxiv.2507.09386
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