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  • Received: Aug. 22, 2019

    Accepted: --

    Posted: Mar. 12, 2020

    Published Online: Mar. 12, 2020

    The Author Email: SONG Shao-Jing (sjsong@sspu.edu.cn)

    DOI: 10.11972/j.issn.1001-9014.2020.01.012

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    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

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Journal of Infrared and Millimeter Waves, Vol. 39, Issue 1, 86 (2020)

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

SONG Shao-Jing1, CHEN Yu-Wei2, HU Hai-Jiang1, HU Jin-Yan1, GONG Yu-Mei1, and SHAO Hui2,3

Author Affiliations

  • 1Department of Communication and Information Engineering, Shanghai Polytechnic University, Shanghai20209, China
  • 2Department of Remote Sensing and Photogrammetry, Finnish Geospatial Research Institute, National Land Survey of Finland, 0431Masala, Finland
  • 3School of Electronic and Information Engineering, Anhui Jianzhu University, Hefei20601,China

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.

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