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基于单光子探测器阵列传感器的深度成像的基本限制。

Fundamental limits to depth imaging with single-photon detector array sensors.

机构信息

School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh, EH14 4AS, UK.

School of Engineering, The University of Edinburgh, Edinburgh, EH9 3FF, UK.

出版信息

Sci Rep. 2023 Jan 5;13(1):176. doi: 10.1038/s41598-022-27012-1.

Abstract

Single-Photon Avalanche Detector (SPAD) arrays are a rapidly emerging technology. These multi-pixel sensors have single-photon sensitivities and pico-second temporal resolutions thus they can rapidly generate depth images with millimeter precision. Such sensors are a key enabling technology for future autonomous systems as they provide guidance and situational awareness. However, to fully exploit the capabilities of SPAD array sensors, it is crucial to establish the quality of depth images they are able to generate in a wide range of scenarios. Given a particular optical system and a finite image acquisition time, what is the best-case depth resolution and what are realistic images generated by SPAD arrays? In this work, we establish a robust yet simple numerical procedure that rapidly establishes the fundamental limits to depth imaging with SPAD arrays under real world conditions. Our approach accurately generates realistic depth images in a wide range of scenarios, allowing the performance of an optical depth imaging system to be established without the need for costly and laborious field testing. This procedure has applications in object detection and tracking for autonomous systems and could be easily extended to systems for underwater imaging or for imaging around corners.

摘要

单光子雪崩二极管 (SPAD) 阵列是一种快速发展的技术。这些多像素传感器具有单光子灵敏度和皮秒级时间分辨率,因此可以快速生成毫米级精度的深度图像。这种传感器是未来自主系统的关键使能技术,因为它提供了指导和态势感知。然而,要充分利用 SPAD 阵列传感器的能力,就必须确定它们在广泛场景中生成的深度图像的质量。给定特定的光学系统和有限的图像采集时间,SPAD 阵列能够生成的最佳深度分辨率是多少,以及生成的实际图像是什么?在这项工作中,我们建立了一个强大而简单的数值程序,可以快速确定在真实条件下使用 SPAD 阵列进行深度成像的基本限制。我们的方法可以在广泛的场景中准确地生成逼真的深度图像,从而无需进行昂贵且费力的现场测试即可确定光学深度成像系统的性能。该程序可应用于自主系统的目标检测和跟踪,并且可以轻松扩展到水下成像或拐角处成像系统。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c391/9814290/d4f2250cf016/41598_2022_27012_Fig1_HTML.jpg

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