The feasibility study of wavelength selection of multi-spectral LIDAR for autonomous driving
Received:August 22, 2019  Revised:December 20, 2019  download
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Author NameAffiliationE-mail
SONG Shao-Jing Dept. of Communication and Information Engineering, Shanghai Polytechnic University, Shanghai 201209, China sjsong@sspu.edu.cn 
CHEN Yu-Wei Department of Remote Sensing and Photogrammetry, Finnish Geospatial Research Institute, National Land Survey of Finland, 02431 Masala, Finland  
Hu Hai-Jiang Dept. of Communication and Information Engineering, Shanghai Polytechnic University, Shanghai 201209, China  
Hu Jin-Yan Dept. of Communication and Information Engineering, Shanghai Polytechnic University, Shanghai 201209, China  
GONG Yu-Mei Dept. of Communication and Information Engineering, Shanghai Polytechnic University, Shanghai 201209, China  
SHAO 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 
 
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.
keywords:band selection  principal component analysis  autonomous driving  LIDAR
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Copyright:《Journal of Infrared And Millimeter Waves》