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適用汽車智能駕駛的多光譜激光雷達波長選擇可行性研究

The feasibility study of wavelength selection of multi-spectral LIDAR for autonomous driving

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摘要

在汽車智能駕駛系統中,激光雷達由于其獨特的三維成像能力,成為場景探測感知傳感器群組中不可或缺的組成部分。為提升單一波長激光雷達在物性探測分類和狀態上的性能,借鑒多光譜探測具有物性探測能力的原理,論文對適用于汽車智能駕駛的多光譜激光雷達的波段選擇進行了可行性研究,利用主成分分析法對智能駕駛中典型目標進行光譜計算及分析,結合激光光源特性以及光電探測器的特性,綜合多光譜激光雷達波段選擇方法和智能駕駛應用場景中典型目標地物光譜特性,以及商用激光雷達的可獲得性, 得出了適用汽車智能駕駛的多光譜激光雷達的波長可以選擇808 nm、905 nm、1 064 nm、1 310 nm,并通過測試驗證了多光譜激光雷達所選波長的有效性。

Abstract

In the autonomous driving system of automobile, in order to improve the performance of single-wavelength LIDAR in physical property detection classification and state, and draw lessons from the principle that multi-spectral detection has physical property detection ability, this paper studies the band selection of multi-spectral LIDAR, calculates and analyses the spectrum of typical targets in autonomous driving by using principal component analysis method. The characteristics of laser source and detector, the band selection method of multi-spectral LIDAR, the spectral characteristic analysis of typical targets for autonomous driving application scenarios and the availability of commercial LIDAR are synthesized. The central wavelength of the multi-spectral LIDAR suitable for autonomous driving of automobiles is 808 nm, 905 nm, 1 064 nm and 1 310 nm. The validity of the selected wavelength of the multi-spectral LIDAR is verified by testing.

Newport宣傳-MKS新實驗室計劃
補充資料

DOI:10.11972/j.issn.1001-9014.2020.01.012

所屬欄目:Infrared Spectroscopy and Spectral Analysis

基金項目:上海第二工業大學校重點學科建設項目; 校企合作汽車電子聯合實驗中心建設項目資助; Discipline Construction Project of Shanghai Polytechnic University; Construction Project of University Enterprise Joint Automobile Electronic Experiment Center;

收稿日期:2019-08-22

修改稿日期:--

網絡出版日期:2020-03-12

作者單位    點擊查看

Shao-Jing SONG:Department of Communication and Information Engineering, Shanghai Polytechnic University, Shanghai20209, China
Yu-Wei CHEN:Department of Remote Sensing and Photogrammetry, Finnish Geospatial Research Institute, National Land Survey of Finland, 0431Masala, Finland
Hai-Jiang HU:Department of Communication and Information Engineering, Shanghai Polytechnic University, Shanghai20209, China
Jin-Yan HU:Department of Communication and Information Engineering, Shanghai Polytechnic University, Shanghai20209, China
Yu-Mei GONG:Department of Communication and Information Engineering, Shanghai Polytechnic University, Shanghai20209, China
Hui SHAO:Department of Remote Sensing and Photogrammetry, Finnish Geospatial Research Institute, National Land Survey of Finland, 0431Masala, FinlandSchool of Electronic and Information Engineering, Anhui Jianzhu University, Hefei20601,China

備注:上海第二工業大學校重點學科建設項目; 校企合作汽車電子聯合實驗中心建設項目資助; Discipline Construction Project of Shanghai Polytechnic University; Construction Project of University Enterprise Joint Automobile Electronic Experiment Center;

【1】A. N. Catapang and MA. N. Catapang and M. The feasibility study of wavelength selection of multi-spectral LIDAR for autonomous driving. 2016,. 25-27(0).

【2】T. Kim and TT. Kim and T. The feasibility study of wavelength selection of multi-spectral LIDAR for autonomous driving. IEEE Transactions on Intelligent Transportation Systems. doi: 10.1109/TITS.2019.2915087. 99, 1-7(2019).

【3】Sha-lei SONGSha-lei SONG. The feasibility study of wavelength selection of multi-spectral LIDAR for autonomous driving. Wuhan: Wuhan University, (2010).

【4】An-xin ZHAO, Xiao-jun TANG and Zhong-hua ZHANG. The feasibility study of wavelength selection of multi-spectral LIDAR for autonomous driving. 光譜學與光譜分析). 34(07), 1836-1839(2014).

【5】Jun-ju ZHANG, Wen-bin YANG and Hui XU. The feasibility study of wavelength selection of multi-spectral LIDAR for autonomous driving. 光譜學與光譜分析). 33(11), 3066-3070(2013).

【6】Qiao-qiao XIANG, Guang-rong SHEN and Yu WU. The feasibility study of wavelength selection of multi-spectral LIDAR for autonomous driving. 上海交通大學學報(農業科學版)). 36(05), 14-21(2018).

【7】Ying-xue ZHANG, Wei XU and Yong WANG. The feasibility study of wavelength selection of multi-spectral LIDAR for autonomous driving. 長沙理工大學學報(自然科學版)). 14(04), 1-9(2017).

【8】Xu JIN, Xian-feng ZHANG and Lun LUO. The feasibility study of wavelength selection of multi-spectral LIDAR for autonomous driving. 地球信息科學學報). 17(5), 672-681(2017).

【9】Xian-jun LONGXian-jun LONG. The feasibility study of wavelength selection of multi-spectral LIDAR for autonomous driving. Xi’an: Chang’an University, (2012).

【10】A. SammanA. Samman. The feasibility study of wavelength selection of multi-spectral LIDAR for autonomous driving. 2000,. USA: , 2084-2089(2000).

【11】Hong TANG, Wen-bin ZHENG and Xiao-xia LI. The feasibility study of wavelength selection of multi-spectral LIDAR for autonomous driving. 李憲霞. 基于主成分分析的消光法波長選擇算法. 光電工程). 37(05), 56-62(2010).

【12】Zhi-shen LIU, Ning DING and Chao-fang ZHAO. The feasibility study of wavelength selection of multi-spectral LIDAR for autonomous driving. 地理空間信息). 7(3), 12-15(2009).

引用該論文

Shao-Jing SONG,Yu-Wei CHEN,Hai-Jiang HU,Jin-Yan HU,Yu-Mei GONG,Hui SHAO. The feasibility study of wavelength selection of multi-spectral LIDAR for autonomous driving[J]. Journal of Infrared and Millimeter Waves, 2020, 39(1): 86-91

Shao-Jing SONG,Yu-Wei CHEN,Hai-Jiang HU,Jin-Yan HU,Yu-Mei GONG,Hui SHAO. 適用汽車智能駕駛的多光譜激光雷達波長選擇可行性研究[J]. 紅外與毫米波學報, 2020, 39(1): 86-91

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