光子计数激光雷达从物理参数到最短测距时间的分析模型

IF 5.4 3区材料科学 Q2 CHEMISTRY, PHYSICAL

ACS Applied Energy Materials Pub Date : 2024-09-17 DOI:10.1016/j.optlastec.2024.111810

Po-Hsuan Chen, Chun-Hsien Liu, Sheng-Di Lin

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引用次数: 0

摘要

无人驾驶车辆和无人机对长距离光探测和测距（LiDAR）的应用需求很高。CMOS制造的单光子雪崩二极管（SPAD）因其高光敏性和片上系统集成的就绪性，在接收端发挥着关键作用。然而，由于涉及的元件数量庞大，加上范围条件各不相同，因此这些模块的工程设计和优化是一项艰巨的挑战。在这项工作中，我们开发了一个分析模型，用于根据光子计数激光雷达的物理参数计算最短测距时间。我们已对模型进行了实验验证，并获得了良好的一致性。我们的工作有助于设计和优化低成本高性能 SPAD 激光雷达的结构。

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An analytical model from physical parameters to minimum ranging time for photon-counting LiDARs

Long-distance light detection and ranging (LiDAR) has been highly demanded for applications on unmanned vehicles and drones. CMOS-fabricated single-photon avalanche diodes (SPADs) play a key role in the receiver end due to their high photo-sensitivity and readiness for system-on-chip integration. However, the large amounts of involved components together with the diverse ranging conditions make engineering and optimizing these modules a daunting challenge. In this work, we have developed an analytical model for calculating minimum ranging time from the physical parameters for a photon-counting LiDAR. The experimental verifications of the model have been performed and a good consistency has been obtained. Our work enables architecture design and optimization for making low-cost high-performance SPAD LiDARs.

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来源期刊

ACS Applied Energy Materials Materials Science-Materials Chemistry

CiteScore

10.30

自引率

6.20%

发文量

1368

期刊介绍： ACS Applied Energy Materials is an interdisciplinary journal publishing original research covering all aspects of materials, engineering, chemistry, physics and biology relevant to energy conversion and storage. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important energy applications.