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用于三维(3D)距离选通重建的改进距离估计模型

Improved Range Estimation Model for Three-Dimensional (3D) Range Gated Reconstruction.

作者信息

Chua Sing Yee, Guo Ningqun, Tan Ching Seong, Wang Xin

机构信息

School of Engineering, Monash University Malaysia, Jalan Lagoon Selatan, 47500 Bandar Sunway, Selangor, Malaysia.

Faculty of Engineering, Multimedia University, Jalan Multimedia, 63000 Cyberjaya, Selangor, Malaysia.

出版信息

Sensors (Basel). 2017 Sep 5;17(9):2031. doi: 10.3390/s17092031.

DOI:10.3390/s17092031
PMID:28872589
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5621040/
Abstract

Accuracy is an important measure of system performance and remains a challenge in 3D range gated reconstruction despite the advancement in laser and sensor technology. The weighted average model that is commonly used for range estimation is heavily influenced by the intensity variation due to various factors. Accuracy improvement in term of range estimation is therefore important to fully optimise the system performance. In this paper, a 3D range gated reconstruction model is derived based on the operating principles of range gated imaging and time slicing reconstruction, fundamental of radiant energy, Laser Detection And Ranging (LADAR), and Bidirectional Reflection Distribution Function (BRDF). Accordingly, a new range estimation model is proposed to alleviate the effects induced by distance, target reflection, and range distortion. From the experimental results, the proposed model outperforms the conventional weighted average model to improve the range estimation for better 3D reconstruction. The outcome demonstrated is of interest to various laser ranging applications and can be a reference for future works.

摘要

精度是系统性能的一项重要指标,尽管激光和传感器技术有所进步,但在三维距离选通重建中仍是一项挑战。常用于距离估计的加权平均模型受各种因素导致的强度变化影响很大。因此,在距离估计方面提高精度对于充分优化系统性能很重要。本文基于距离选通成像和时间切片重建的工作原理、辐射能基本原理、激光探测与测距(LADAR)以及双向反射分布函数(BRDF)推导了一种三维距离选通重建模型。相应地,提出了一种新的距离估计模型,以减轻距离、目标反射和距离失真所引起的影响。从实验结果来看,所提出的模型优于传统加权平均模型,能够改善距离估计以实现更好的三维重建。所展示的结果对各种激光测距应用具有重要意义,可为未来的工作提供参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/13ed/5621040/9bb513d8e3da/sensors-17-02031-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/13ed/5621040/f543753dd69f/sensors-17-02031-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/13ed/5621040/1b31c908b372/sensors-17-02031-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/13ed/5621040/7ddb75b7ae48/sensors-17-02031-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/13ed/5621040/e93293b2a219/sensors-17-02031-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/13ed/5621040/2933ce7a7e75/sensors-17-02031-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/13ed/5621040/976f883c0bb4/sensors-17-02031-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/13ed/5621040/ea308be3f790/sensors-17-02031-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/13ed/5621040/9bb513d8e3da/sensors-17-02031-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/13ed/5621040/f543753dd69f/sensors-17-02031-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/13ed/5621040/1b31c908b372/sensors-17-02031-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/13ed/5621040/7ddb75b7ae48/sensors-17-02031-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/13ed/5621040/e93293b2a219/sensors-17-02031-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/13ed/5621040/2933ce7a7e75/sensors-17-02031-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/13ed/5621040/976f883c0bb4/sensors-17-02031-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/13ed/5621040/ea308be3f790/sensors-17-02031-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/13ed/5621040/9bb513d8e3da/sensors-17-02031-g008.jpg

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本文引用的文献

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Direct method of three-dimensional imaging using the multiple-wavelength range-gated active imaging principle.基于多波长距离选通主动成像原理的三维成像直接方法。
Appl Opt. 2016 May 10;55(14):3782-6. doi: 10.1364/AO.55.003782.
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Appl Opt. 2016 Jan 10;55(2):360-7. doi: 10.1364/AO.55.000360.
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Range compensation for accurate 3D imaging system.用于精确三维成像系统的距离补偿
Appl Opt. 2016 Jan 1;55(1):153-8. doi: 10.1364/AO.55.000153.
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Optical Sensors and Methods for Underwater 3D Reconstruction.水下三维重建的光学传感器与方法
Sensors (Basel). 2015 Dec 15;15(12):31525-57. doi: 10.3390/s151229864.
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