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

doi:10.11972/j.issn.1001-9014.2020.01.012

Home > Archive>Volume 39, Issue 1, 2020 >86-91. DOI:10.11972/j.issn.1001-9014.2020.01.012

The feasibility study of wavelength selection of multi-spectral LIDAR for autonomous driving
DOI:
                        10.11972/j.issn.1001-9014.2020.01.012
                    
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                        SONG Shao-Jing1SONG Shao-Jing
Dept. of Communication and Information Engineering, Shanghai Polytechnic University, Shanghai 201209, China
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CHEN Yu-Wei2CHEN Yu-Wei
Department of Remote Sensing and Photogrammetry, Finnish Geospatial Research Institute, National Land Survey of Finland, 02431 Masala, Finland
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Hu Hai-Jiang1Hu Hai-Jiang
Dept. of Communication and Information Engineering, Shanghai Polytechnic University, Shanghai 201209, China
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Hu Jin-Yan1Hu Jin-Yan
Dept. of Communication and Information Engineering, Shanghai Polytechnic University, Shanghai 201209, China
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GONG Yu-Mei1GONG Yu-Mei
Dept. of Communication and Information Engineering, Shanghai Polytechnic University, Shanghai 201209, China
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SHAO Hui2,3SHAO Hui
Department of Remote Sensing and Photogrammetry, Finnish Geospatial Research Institute, National Land Survey of Finland, 02431 Masala, Finland;School of Electronic and Information Engineering, Anhui Jianzhu University, Hefei 230601
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Affiliation:1.Department of Communication and Information Engineering, Shanghai Polytechnic University, Shanghai 201209, China;2.Department of Remote Sensing and Photogrammetry, Finnish Geospatial Research Institute, National Land Survey of Finland, 02431 Masala, Finland;3.School of Electronic and Information Engineering, Anhui Jianzhu University, Hefei 230601,China
Clc Number:TN249
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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.

Key words:band selection;principal component analysis;autonomous driving;LIDAR

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SONG Shao-Jing, CHEN Yu-Wei, Hu Hai-Jiang, Hu Jin-Yan, GONG Yu-Mei, SHAO Hui. 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

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Received:August 22,2019
Revised:December 20,2019
Adopted:November 25,2019
Online: December 17,2019
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